Reproducibility Index

Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..

Conference on Neural Information Processing Systems (NeurIPS) - 2025

Documentation Rate of Empirical Papers by Reproducibility Variable

Distribution of Empirical Papers by Number of Documented Variables

Website:

Venue	Year	Papers	Reproducibility Score Reproducibility Score based on Gundersen et al. (2025). See Methods for details.	Documentation Score Documentation Score is the average score over the seven reproducibility variables for empirical research papers. See Methods for details.	% Empirical Percentage of papers that are empirical research vs theoretical research.	% Industry Percentage of empirical research papers with at least one author from Industry.	Website
NeurIPS	2025	5286	0.69	4.89	95.63%	35.23%

Search Papers

	Pseudocode	Open Source Code	Open Datasets	Dataset Splits	Hardware Specification	Software Dependencies	Experiment Setup
$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization	✅	❌	❌	❌	❌	❌	✅	2
$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training	✅	✅	✅	✅	✅	❌	✅	6
$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization	✅	❌	✅	✅	✅	❌	✅	5
$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models	❌	❌	✅	✅	✅	❌	✅	4
$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning	❌	✅	✅	✅	❌	❌	✅	4
$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data	❌	✅	✅	✅	❌	❌	✅	4
$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks	❌	✅	✅	✅	✅	❌	✅	5
$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data	✅	✅	✅	✅	✅	❌	✅	6
$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks	✅	✅	✅	✅	✅	❌	✅	6
$\texttt{BetaConform}$: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer	✅	❌	✅	✅	❌	❌	✅	4
$\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
$\texttt{STRCMP}$: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization	❌	✅	✅	✅	✅	✅	✅	6
$\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power	✅	✅	✅	❌	✅	❌	✅	5
$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation	❌	✅	✅	✅	✅	❌	✅	5
$i$MIND: Insightful Multi-subject Invariant Neural Decoding	❌	❌	✅	✅	✅	❌	✅	4
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities	❌	✅	✅	❌	❌	✅	✅	4
1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering	❌	❌	✅	✅	✅	❌	✅	4
3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs	❌	✅	✅	✅	✅	❌	✅	5
3D Equivariant Visuomotor Policy Learning via Spherical Projection	❌	✅	✅	❌	✅	❌	✅	4
3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction	❌	✅	✅	✅	✅	❌	✅	5
3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion	❌	✅	✅	✅	✅	❌	✅	5
3D Human Pose Estimation with Muscles	❌	❌	✅	✅	✅	❌	✅	4
3D Interaction Geometric Pre-training for Molecular Relational Learning	✅	✅	✅	✅	✅	✅	✅	7
3D Visual Illusion Depth Estimation	✅	❌	✅	✅	✅	❌	✅	5
3D-Agent: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation	❌	❌	✅	✅	✅	❌	✅	4
3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding	✅	✅	✅	✅	✅	❌	✅	6
3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes	✅	✅	✅	✅	✅	❌	✅	6
3DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization	❌	✅	✅	❌	✅	✅	✅	5
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model	❌	✅	✅	✅	✅	❌	✅	5
3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image	❌	❌	✅	❌	❌	❌	❌	1
3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation	❌	❌	✅	✅	✅	❌	✅	4
3DRS: MLLMs Need 3D-Aware Representation Supervision for Scene Understanding	❌	❌	✅	✅	✅	❌	✅	4
4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time	✅	✅	✅	✅	✅	✅	✅	7
4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration	✅	✅	✅	✅	✅	❌	✅	6
4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos	❌	❌	✅	❌	✅	❌	✅	3
4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming	❌	✅	✅	✅	✅	❌	✅	5
4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos	❌	❌	✅	✅	✅	❌	✅	4
4KAgent: Agentic Any Image to 4K Super-Resolution	❌	✅	✅	✅	✅	❌	✅	5
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)	✅	✅	✅	✅	✅	❌	✅	6
A Single-Swap Local Search Algorithm for k-Means of Lines	✅	❌	✅	❌	✅	❌	✅	4
A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data	✅	✅	❌	❌	✅	❌	✅	4
A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning	✅	✅	✅	✅	❌	❌	✅	5
A Beyond-Worst-Case Analysis of Greedy k-means++	✅	✅	❌	❌	✅	❌	✅	4
A Black-Box Debiasing Framework for Conditional Sampling	✅	✅	❌	❌	❌	❌	✅	3
A CLT for Polynomial GNNs on Community-Based Graphs	❌	❌	❌	❌	✅	❌	✅	2
A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference	❌	✅	✅	❌	❌	❌	✅	3
A Circular Argument: Does RoPE need to be Equivariant for Vision?	❌	❌	✅	✅	✅	❌	✅	4
A Clean Slate for Offline Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
A Closed-Form Solution for Fast and Reliable Adaptive Testing	✅	✅	✅	✅	✅	❌	✅	6
A Closer Look at Graph Transformers: Cross-Aggregation and Beyond	✅	✅	✅	✅	✅	❌	✅	6
A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective	✅	✅	✅	❌	✅	❌	✅	5
A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression	❌	✅	✅	❌	✅	❌	✅	4
A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities	❌	❌	✅	✅	✅	❌	✅	4
A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study	❌	✅	✅	❌	✅	❌	✅	4
A Compressive-Expressive Communication Framework for Compositional Representations	❌	✅	✅	✅	✅	✅	✅	6
A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems	✅	❌	❌	❌	✅	❌	✅	3
A Counterfactual Semantics for Hybrid Dynamical Systems	❌	✅	❌	❌	✅	❌	❌	2
A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing	✅	✅	✅	✅	❌	❌	✅	5
A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors	✅	✅	✅	❌	✅	❌	✅	5
A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning	✅	✅	✅	✅	✅	❌	✅	6
A Differential and Pointwise Control Approach to Reinforcement Learning	✅	✅	❌	❌	✅	❌	✅	4
A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking	❌	✅	✅	❌	✅	❌	✅	4
A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction	✅	✅	✅	❌	❌	❌	✅	4
A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement	✅	✅	✅	✅	✅	❌	✅	6
A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments	✅	✅	✅	✅	✅	✅	✅	7
A Few Moments Please: Scalable Graphon Learning via Moment Matching	✅	✅	✅	✅	✅	❌	✅	6
A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation	❌	✅	❌	❌	✅	❌	✅	3
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1	✅	✅	✅	❌	✅	❌	✅	5
A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging	❌	❌	❌	❌	❌	❌	❌	0
A Generalist Intracortical Motor Decoder	❌	✅	✅	✅	✅	❌	✅	5
A Generalized Binary Tree Mechanism for Private Approximation of All-Pair Shortest Distances	✅	✅	❌	❌	✅	❌	✅	4
A Generalized Bisimulation Metric of State Similarity between Markov Decision Processes: From Theoretical Propositions to Applications	❌	❌	❌	❌	❌	❌	✅	1
A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation	✅	❌	✅	✅	✅	❌	✅	5
A Geometric Analysis of PCA	❌	❌	❌	❌	❌	❌	❌	0
A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models	✅	✅	✅	✅	✅	❌	✅	6
A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
A Gradient Guided Diffusion Framework for Chance Constrained Programming	✅	✅	❌	❌	❌	❌	✅	3
A Hierarchy of Graphical Models for Counterfactual Inferences	✅	❌	❌	❌	❌	❌	❌	1
A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning	✅	✅	✅	✅	✅	❌	✅	6
A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning	❌	✅	❌	✅	✅	❌	✅	4
A Latent Multilayer Graphical Model For Complex, Interdependent Systems	✅	✅	✅	❌	✅	✅	✅	6
A Learning-Augmented Approach to Online Allocation Problems	❌	❌	❌	❌	❌	❌	❌	0
A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows	✅	❌	✅	✅	✅	❌	✅	5
A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers	❌	✅	✅	❌	❌	❌	✅	3
A Markov Decision Process for Variable Selection in Branch & Bound	✅	✅	✅	✅	✅	✅	✅	7
A Minimalist Example of Edge-of-Stability and Progressive Sharpening	❌	❌	✅	❌	✅	❌	✅	3
A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks	❌	❌	✅	✅	✅	❌	✅	4
A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals	✅	✅	✅	✅	✅	❌	✅	6
A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization	✅	✅	✅	❌	❌	❌	✅	4
A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond	✅	✅	❌	❌	✅	❌	✅	4
A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits	❌	❌	❌	❌	❌	❌	❌	0
A Partition Cover Approach to Tokenization	✅	✅	✅	✅	✅	❌	✅	6
A Physics-preserved Transfer Learning Method for Differential Equations	✅	❌	✅	✅	✅	❌	✅	5
A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers	✅	✅	✅	✅	✅	❌	✅	6
A Practical Guide for Incorporating Symmetry in Diffusion Policy	❌	✅	✅	❌	❌	❌	✅	3
A Pre-training Framework for Relational Data with Information-theoretic Principles	❌	✅	✅	✅	✅	❌	✅	5
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding	✅	✅	✅	❌	✅	✅	✅	6
A Principled Path to Fitted Distributional Evaluation	✅	✅	✅	✅	❌	❌	✅	5
A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input	✅	❌	❌	❌	❌	❌	❌	1
A Provable Approach for End-to-End Safe Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees	✅	❌	✅	✅	✅	✅	✅	6
A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning	✅	❌	✅	❌	❌	❌	✅	3
A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation	✅	✅	✅	✅	✅	❌	✅	6
A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
A Semantic Parsing Framework for End-to-End Time Normalization	❌	✅	✅	✅	✅	❌	✅	5
A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers	✅	✅	✅	❌	❌	❌	✅	4
A Signed Graph Approach to Understanding and Mitigating Oversmoothing	❌	✅	✅	✅	✅	✅	✅	6
A Simple Linear Patch Revives Layer-Pruned Large Language Models	❌	✅	✅	✅	✅	✅	✅	6
A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization	✅	✅	✅	✅	✅	❌	✅	6
A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation	✅	✅	✅	✅	✅	✅	✅	7
A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search	✅	✅	❌	❌	✅	❌	✅	4
A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning	✅	✅	✅	✅	✅	✅	✅	7
A Stable Whitening Optimizer for Efficient Neural Network Training	✅	✅	✅	❌	✅	❌	✅	5
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics	❌	❌	✅	✅	❌	❌	✅	3
A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity	❌	✅	✅	✅	✅	❌	✅	5
A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models	❌	✅	❌	❌	❌	❌	✅	2
A Temporal Difference Method for Stochastic Continuous Dynamics	✅	✅	✅	❌	✅	❌	✅	5
A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation	❌	✅	❌	✅	❌	❌	✅	3
A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning	✅	✅	✅	✅	✅	❌	✅	6
A Theory for Worst-Case vs. Average-Case Guarantees for LLMs	✅	✅	✅	✅	✅	❌	✅	6
A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone	✅	✅	✅	✅	✅	❌	✅	6
A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond	✅	✅	✅	❌	✅	❌	✅	5
A Unified Approach to Submodular Maximization Under Noise	✅	✅	❌	❌	❌	❌	✅	3
A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances	❌	❌	✅	✅	❌	❌	✅	3
A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values	✅	❌	✅	✅	✅	❌	✅	5
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random	✅	✅	✅	❌	❌	✅	✅	5
A Unified Framework for the Transportability of Population-Level Causal Measures	❌	✅	❌	❌	✅	❌	✅	3
A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis	✅	✅	✅	✅	✅	❌	✅	6
A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking	❌	✅	✅	✅	✅	❌	✅	5
A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias	❌	✅	✅	❌	❌	❌	✅	3
A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning	❌	❌	❌	❌	❌	❌	❌	0
A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations	❌	✅	✅	✅	✅	❌	✅	5
A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity	✅	❌	✅	✅	❌	❌	✅	4
A geometric framework for momentum-based optimizers for low-rank training	✅	❌	✅	✅	✅	❌	✅	5
A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders	✅	✅	✅	✅	✅	❌	✅	6
A learnability analysis on neuro-symbolic learning	✅	✅	✅	❌	✅	❌	✅	5
A machine learning approach that beats Rubik's cubes	❌	✅	✅	✅	✅	✅	✅	6
A multiscale analysis of mean-field transformers in the moderate interaction regime	❌	✅	❌	❌	✅	❌	✅	3
A solvable model of learning generative diffusion: theory and insights	❌	✅	✅	❌	❌	❌	✅	3
A unified framework for establishing the universal approximation of transformer-type architectures	❌	❌	❌	❌	❌	❌	❌	0
A$^3$E: Towards Compositional Model Editing	✅	✅	✅	✅	✅	❌	✅	6
A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings	✅	✅	✅	❌	✅	❌	✅	5
A-Mem: Agentic Memory for LLM Agents	❌	✅	✅	❌	❌	❌	✅	3
AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation	✅	✅	✅	✅	✅	✅	✅	7
AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation	❌	❌	✅	❌	✅	❌	✅	3
AC-LoRA: (Almost) Training-Free Access Control Aware Multi-Modal LLMs	❌	✅	✅	✅	✅	✅	✅	6
ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training	✅	✅	✅	❌	✅	❌	✅	5
ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking	❌	❌	✅	✅	✅	❌	✅	4
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources	❌	✅	✅	❌	✅	❌	✅	4
ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining	❌	✅	✅	✅	❌	❌	✅	4
AF-UMC: An Alignment-Free Fusion Framework for Unaligned Multi-View Clustering	✅	✅	✅	❌	✅	❌	✅	5
AI Debate Aids Assessment of Controversial Claims	❌	✅	✅	❌	❌	❌	✅	3
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench	✅	✅	✅	✅	✅	❌	✅	6
AI-Generated Video Detection via Perceptual Straightening	❌	✅	✅	✅	✅	❌	✅	5
AI-Researcher: Autonomous Scientific Innovation	❌	✅	✅	✅	❌	❌	❌	3
AION-1: Omnimodal Foundation Model for Astronomical Sciences	❌	✅	✅	✅	✅	❌	✅	5
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition	✅	✅	✅	❌	✅	❌	✅	5
ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models	✅	✅	✅	✅	✅	❌	✅	6
ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation	✅	❌	✅	✅	✅	❌	✅	5
ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation	❌	❌	✅	✅	✅	❌	✅	4
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction	❌	✅	✅	✅	✅	❌	✅	5
AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation	❌	✅	✅	✅	✅	❌	✅	5
APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction	✅	✅	✅	✅	✅	✅	✅	7
APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning	✅	✅	✅	✅	✅	✅	✅	7
AR-RAG: Autoregressive Retrieval Augmentation for Image Generation	✅	❌	✅	✅	✅	❌	✅	5
AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning	✅	✅	✅	❌	✅	✅	✅	6
ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation	✅	✅	✅	✅	✅	❌	✅	6
ARGenSeg: Image Segmentation with Autoregressive Image Generation Model	❌	✅	✅	✅	✅	❌	✅	5
ARIA: Training Language Agents with Intention-driven Reward Aggregation	✅	❌	✅	✅	✅	✅	✅	6
ARM: Adaptive Reasoning Model	❌	✅	✅	✅	✅	❌	✅	5
ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction	❌	✅	✅	✅	✅	❌	✅	5
ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification	❌	❌	✅	❌	✅	✅	✅	4
ASGO: Adaptive Structured Gradient Optimization	✅	✅	✅	✅	✅	❌	✅	6
ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data	❌	✅	✅	❌	✅	✅	✅	5
AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding	✅	✅	✅	✅	✅	❌	✅	6
Absolute Zero: Reinforced Self-play Reasoning with Zero Data	✅	✅	✅	❌	✅	❌	✅	5
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models	❌	❌	❌	❌	❌	❌	❌	0
Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency	✅	✅	✅	✅	✅	❌	✅	6
Abstract Counterfactuals for Language Model Agents	❌	✅	✅	❌	✅	✅	✅	5
Abstract Rendering: Certified Rendering Under 3D Semantic Uncertainty	✅	✅	✅	✅	✅	❌	✅	6
Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization	✅	✅	✅	❌	✅	❌	✅	5
Accelerated Evolving Set Processes for Local PageRank Computation	✅	✅	✅	❌	✅	❌	✅	5
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking	✅	❌	✅	✅	✅	❌	✅	5
Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies	✅	✅	✅	✅	✅	✅	✅	7
Accelerating 3D Molecule Generative Models with Trajectory Diagnosis	✅	✅	✅	✅	✅	❌	✅	6
Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion	✅	✅	✅	❌	✅	❌	✅	5
Accelerating Diffusion LLMs via Adaptive Parallel Decoding	✅	✅	✅	✅	✅	❌	✅	6
Accelerating Feature Conformal Prediction via Taylor Approximation	✅	✅	✅	✅	✅	❌	❌	5
Accelerating Model-Free Optimization via Averaging of Cost Samples	✅	❌	❌	❌	❌	❌	✅	2
Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings	❌	✅	✅	❌	❌	❌	✅	3
Accelerating Optimization via Differentiable Stopping Time	✅	❌	✅	❌	✅	❌	✅	4
Accelerating Parallel Diffusion Model Serving with Residual Compression	✅	✅	✅	✅	✅	❌	✅	6
Accelerating RL for LLM Reasoning with Optimal Advantage Regression	✅	✅	✅	✅	✅	❌	✅	6
Accelerating Visual-Policy Learning through Parallel Differentiable Simulation	✅	✅	✅	❌	✅	❌	✅	5
Accelerating data-driven algorithm selection for combinatorial partitioning problems	✅	✅	✅	❌	✅	❌	✅	5
Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space	❌	✅	❌	✅	✅	❌	✅	4
Accident Anticipation via Temporal Occurrence Prediction	❌	✅	✅	❌	✅	❌	✅	4
AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference	✅	✅	✅	❌	✅	❌	✅	5
Accurate and Efficient Low-Rank Model Merging in Core Space	✅	✅	✅	❌	✅	❌	✅	5
Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network	❌	✅	✅	✅	✅	❌	✅	5
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning	❌	✅	✅	✅	✅	✅	✅	6
AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play	❌	✅	✅	✅	✅	❌	✅	5
Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation	✅	✅	❌	❌	✅	❌	✅	4
Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data	✅	✅	✅	✅	✅	❌	✅	6
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts	✅	✅	✅	❌	✅	❌	✅	5
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies	❌	✅	✅	✅	✅	❌	✅	5
Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models	❌	❌	✅	✅	❌	❌	✅	3
Activated LoRA: Fine-tuned LLMs for Intrinsics	❌	✅	✅	✅	✅	❌	✅	5
Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models	❌	✅	✅	✅	✅	❌	✅	5
Activation-Guided Consensus Merging for Large Language Models	❌	✅	✅	❌	❌	❌	✅	3
Activation-Informed Merging of Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Active Measurement: Efficient Estimation at Scale	✅	✅	✅	✅	✅	❌	✅	6
Active Seriation: Efficient Ordering Recovery with Statistical Guarantees	✅	✅	✅	❌	❌	❌	✅	4
Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory	✅	✅	✅	❌	✅	❌	✅	5
Active Test-time Vision-Language Navigation	✅	❌	✅	✅	❌	❌	❌	3
ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning	✅	✅	✅	❌	✅	❌	✅	5
Activity Pruning for Efficient Spiking Neural Networks	✅	✅	✅	✅	✅	✅	✅	7
Actor-Free Continuous Control via Structurally Maximizable Q-Functions	✅	✅	✅	❌	✅	❌	✅	5
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking	✅	✅	✅	✅	✅	✅	✅	7
Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference	✅	✅	✅	✅	❌	❌	✅	5
Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization	❌	❌	✅	✅	✅	❌	✅	4
AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees	❌	✅	✅	✅	✅	❌	✅	5
AdaLRS: Loss-Guided Adaptive Learning Rate Search for Efficient Foundation Model Pretraining	✅	❌	✅	❌	✅	❌	✅	4
AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning	✅	✅	✅	❌	❌	❌	✅	4
AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking	✅	✅	✅	✅	❌	❌	✅	5
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders	✅	✅	✅	❌	✅	❌	✅	5
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners	✅	✅	✅	✅	✅	❌	✅	6
AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts	✅	✅	✅	✅	✅	✅	✅	7
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding	❌	✅	✅	❌	✅	❌	✅	4
Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold	✅	✅	✅	✅	❌	❌	✅	5
AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness	✅	✅	✅	✅	✅	❌	✅	6
AdaptGrad: Adaptive Sampling to Reduce Noise	❌	✅	✅	❌	✅	❌	✅	4
Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer	✅	✅	✅	✅	✅	❌	✅	6
Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback	✅	❌	❌	❌	❌	❌	❌	1
Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates	✅	✅	✅	❌	✅	❌	✅	5
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization	✅	✅	✅	❌	✅	❌	✅	5
Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction	❌	✅	✅	✅	✅	❌	✅	5
Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Data Analysis for Growing Data	✅	❌	❌	❌	❌	❌	❌	1
Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls	❌	✅	✅	✅	❌	❌	✅	4
Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler	✅	✅	✅	❌	✅	❌	✅	5
Adaptive Discretization for Consistency Models	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models	✅	❌	✅	✅	✅	❌	✅	5
Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing	✅	✅	✅	❌	✅	❌	✅	5
Adaptive Gradient Masking for Balancing ID and MLLM-based Representations in Recommendation	❌	✅	✅	❌	✅	✅	✅	5
Adaptive Inference-Time Scaling via Cyclic Diffusion Search	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs	✅	✅	✅	❌	✅	❌	✅	5
Adaptive Latent-Space Constraints in Personalized Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling	✅	✅	✅	❌	✅	✅	✅	6
Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction	✅	❌	✅	✅	❌	❌	✅	4
Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing	✅	❌	❌	❌	✅	✅	✅	4
Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning	✅	✅	✅	✅	✅	✅	✅	7
Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks	✅	✅	❌	❌	✅	❌	✅	4
Adaptive Time Encoding for Irregular Multivariate Time-Series Classification	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond	✅	✅	❌	❌	❌	❌	✅	3
Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning	✅	✅	✅	❌	✅	❌	✅	5
Adaptively Coordinating with Novel Partners via Learned Latent Strategies	✅	✅	❌	✅	✅	❌	✅	5
Additive Models Explained: A Computational Complexity Approach	✅	❌	❌	❌	❌	❌	❌	1
Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes	✅	✅	✅	❌	✅	❌	✅	5
Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency	✅	✅	✅	❌	✅	❌	✅	5
Adjoint Schrödinger Bridge Sampler	✅	✅	✅	✅	❌	❌	✅	5
Adjusted Count Quantification Learning on Graphs	❌	✅	✅	✅	✅	❌	✅	5
Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models	✅	✅	✅	❌	✅	✅	✅	6
AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees	❌	✅	✅	❌	✅	❌	✅	4
Adv-BMT: Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation	❌	✅	✅	✅	✅	❌	✅	5
Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees	✅	✅	✅	✅	✅	❌	✅	6
AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents	❌	✅	✅	❌	✅	❌	✅	4
AdvPrefix: An Objective for Nuanced LLM Jailbreaks	❌	✅	✅	❌	✅	❌	✅	4
Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization	❌	✅	✅	✅	✅	❌	✅	5
Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning	✅	✅	✅	✅	✅	❌	✅	6
Advancing Expert Specialization for Better MoE	❌	✅	✅	✅	✅	✅	✅	6
Advancing Interpretability of CLIP Representations with Concept Surrogate Model	✅	✅	✅	✅	✅	❌	✅	6
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective	✅	✅	✅	✅	❌	❌	✅	5
Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration	❌	✅	✅	❌	✅	✅	✅	5
Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment	✅	✅	✅	❌	✅	❌	✅	5
Adversarial Diffusion for Robust Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation	✅	✅	✅	✅	✅	✅	✅	7
Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning	✅	✅	✅	❌	❌	❌	✅	4
Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text	✅	✅	✅	✅	✅	❌	✅	6
Adversarial Robustness of Nonparametric Regression	❌	❌	❌	❌	❌	❌	✅	1
Adversarial generalization of unfolding (model-based) networks	❌	❌	✅	✅	✅	❌	✅	4
Adversary Aware Optimization for Robust Defense	✅	✅	✅	✅	✅	❌	✅	6
AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference	✅	❌	✅	✅	✅	✅	✅	6
Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance	❌	✅	❌	❌	✅	❌	✅	3
AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization	✅	✅	✅	✅	✅	✅	✅	7
AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents	✅	✅	✅	❌	✅	❌	✅	5
AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement	✅	✅	✅	✅	❌	✅	✅	6
AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems	✅	❌	✅	✅	❌	✅	✅	5
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks	✅	✅	✅	✅	✅	❌	✅	6
Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents	✅	❌	✅	✅	✅	✅	✅	6
Agentic RL Scaling Law: Spontaneous Code Execution for Mathematical Problem Solving	✅	✅	✅	❌	❌	❌	✅	4
Agents Robust to Distribution Shifts Learn Causal World Models Even Under Mediation	✅	❌	❌	❌	❌	❌	❌	1
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations	✅	✅	✅	✅	✅	✅	✅	7
Agnostic Active Learning Is Always Better Than Passive Learning	✅	❌	❌	❌	❌	❌	❌	1
Agnostic Continuous-Time Online Learning	✅	❌	❌	❌	❌	❌	❌	1
Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness	✅	❌	❌	❌	❌	❌	❌	1
Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead	❌	✅	✅	✅	✅	✅	✅	6
AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation	❌	✅	✅	✅	✅	❌	✅	5
Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models	✅	❌	❌	❌	❌	❌	❌	1
AliO: Output Alignment Matters in Long-Term Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Alias-Free ViT: Fractional Shift Invariance via Linear Attention	❌	✅	✅	✅	✅	❌	✅	5
Align Your Flow: Scaling Continuous-Time Flow Map Distillation	✅	❌	✅	❌	✅	❌	✅	4
Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences	❌	✅	✅	✅	✅	❌	✅	5
AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding	❌	✅	✅	❌	✅	❌	✅	4
AlignedGen: Aligning Style Across Generated Images	✅	✅	✅	✅	❌	✅	✅	6
Aligning Compound AI Systems via System-level DPO	❌	❌	✅	✅	✅	❌	✅	4
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs	❌	✅	✅	❌	✅	❌	❌	3
Aligning Text to Image in Diffusion Models is Easier Than You Think	✅	✅	✅	✅	✅	❌	✅	6
Aligning Text-to-Image Diffusion Models to Human Preference by Classification	❌	✅	✅	❌	✅	❌	✅	4
Aligning Transformers with Continuous Feedback via Energy Rank Alignment	✅	❌	✅	❌	✅	❌	✅	4
Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation	❌	❌	✅	✅	❌	❌	✅	3
Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment	✅	❌	✅	✅	✅	❌	✅	5
Alignment of Large Language Models with Constrained Learning	✅	✅	✅	✅	✅	❌	✅	6
All You Need is One: Capsule Prompt Tuning with a Single Vector	❌	✅	✅	✅	✅	❌	✅	5
Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection	✅	✅	✅	❌	❌	❌	✅	4
Alligat0R: Pre-Training through Covisibility Segmentation for Relative Camera Pose Regression	❌	✅	✅	✅	✅	❌	✅	5
AlphaBeta is not as good as you think: a simple class of synthetic games for a better analysis of deterministic game-solving algorithms	✅	✅	❌	❌	✅	❌	✅	4
AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs	✅	✅	✅	❌	✅	❌	✅	5
AlphaFold Database Debiasing for Robust Inverse Folding	❌	❌	✅	✅	✅	❌	✅	4
AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws	❌	✅	✅	❌	❌	❌	✅	3
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections	✅	✅	✅	✅	✅	❌	✅	6
Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks	✅	✅	✅	❌	❌	❌	✅	4
Ambient Diffusion Omni: Training Good Models with Bad Data	❌	✅	✅	✅	✅	❌	✅	5
Ambient Proteins - Training Diffusion Models on Noisy Structures	✅	✅	✅	❌	✅	❌	✅	5
Among Us: A Sandbox for Measuring and Detecting Agentic Deception	❌	✅	✅	✅	✅	❌	✅	5
AmorLIP: Efficient Language-Image Pretraining via Amortization	✅	✅	✅	✅	✅	❌	✅	6
Amortized Active Generation of Pareto Sets	✅	✅	✅	✅	✅	❌	✅	6
Amortized Sampling with Transferable Normalizing Flows	❌	✅	✅	✅	✅	❌	✅	5
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process	✅	✅	✅	✅	✅	✅	✅	7
An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds	✅	✅	✅	✅	✅	✅	✅	7
An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification	❌	❌	✅	✅	✅	✅	✅	5
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation	❌	✅	✅	✅	❌	❌	✅	4
An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations	❌	✅	✅	✅	✅	❌	✅	5
An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
An Effective Levelling Paradigm for Unlabeled Scenarios	❌	❌	✅	✅	✅	❌	✅	4
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks	✅	✅	✅	❌	✅	❌	✅	5
An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph	✅	✅	✅	✅	❌	❌	✅	5
An Ellipsoid Algorithm for Online Convex Optimization	✅	❌	❌	❌	❌	❌	❌	1
An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination	❌	✅	✅	✅	✅	❌	✅	5
An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction	✅	❌	❌	❌	❌	❌	❌	1
An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
An Investigation of Memorization Risk in Healthcare Foundation Models	❌	✅	✅	✅	❌	❌	✅	4
An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise	✅	❌	❌	❌	✅	❌	✅	3
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds	❌	❌	❌	❌	❌	❌	❌	0
AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection	❌	✅	✅	✅	✅	❌	✅	5
Analog Foundation Models	❌	✅	✅	❌	✅	❌	✅	4
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions	❌	✅	✅	❌	✅	❌	✅	4
Analogy-based Multi-Turn Jailbreak against Large Language Models	❌	✅	✅	❌	❌	✅	✅	4
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models	✅	✅	✅	✅	✅	❌	✅	6
Analyzing Similarity Metrics for Data Selection for Language Model Pretraining	❌	❌	✅	✅	✅	❌	✅	4
Analyzing the Power of Chain of Thought through Memorization Capabilities	❌	❌	❌	❌	❌	❌	❌	0
Anatomically inspired digital twins capture hierarchical object representations in visual cortex	❌	❌	✅	✅	✅	❌	✅	4
Anchor-based Maximum Discrepancy for Relative Similarity Testing	✅	✅	✅	✅	❌	❌	✅	5
Anchored Diffusion Language Model	✅	✅	✅	✅	❌	❌	✅	5
AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches	❌	✅	✅	❌	✅	✅	✅	5
Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals	✅	✅	✅	✅	✅	❌	✅	6
Angular Constraint Embedding via SpherePair Loss for Constrained Clustering	✅	✅	✅	✅	✅	✅	✅	7
Angular Steering: Behavior Control via Rotation in Activation Space	✅	✅	✅	✅	✅	❌	✅	6
AnimateQR: Bridging Aesthetics and Functionality in Dynamic QR Code Generation	✅	✅	❌	❌	✅	❌	✅	4
Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres	✅	✅	✅	✅	✅	❌	✅	6
Anti-Aliased 2D Gaussian Splatting	❌	❌	✅	✅	✅	❌	✅	4
Antidistillation Sampling	✅	✅	✅	✅	✅	❌	✅	6
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector	✅	✅	✅	✅	✅	❌	✅	6
Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses	❌	❌	❌	❌	❌	❌	✅	1
Anytime-valid, Bayes-assisted, Prediction-Powered Inference	❌	✅	✅	✅	✅	❌	✅	5
Approximate Domain Unlearning for Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers	✅	✅	✅	✅	✅	✅	✅	7
Approximately Aligned Decoding	✅	✅	✅	✅	✅	❌	✅	6
Approximating Shapley Explanations in Reinforcement Learning	❌	✅	✅	❌	✅	❌	❌	3
Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions	❌	❌	❌	❌	❌	❌	❌	0
Approximation theory for 1-Lipschitz ResNets	❌	✅	✅	✅	✅	❌	✅	5
ArchCAD-400K: A Large-Scale CAD drawings Dataset and New Baseline for Panoptic Symbol Spotting	❌	✅	✅	✅	✅	❌	✅	5
Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling	✅	✅	❌	❌	✅	❌	✅	4
Are Greedy Task Orderings Better Than Random in Continual Linear Regression?	✅	✅	✅	✅	✅	❌	✅	6
Are Language Models Efficient Reasoners? A Perspective from Logic Programming	✅	✅	✅	❌	❌	❌	✅	4
Are Large Language Models Sensitive to the Motives Behind Communication?	❌	✅	✅	❌	❌	❌	✅	3
Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost	❌	✅	✅	✅	✅	✅	✅	6
Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?	❌	✅	✅	✅	✅	✅	✅	6
Ascent Fails to Forget	❌	✅	✅	✅	✅	❌	✅	5
Ask a Strong LLM Judge when Your Reward Model is Uncertain	❌	✅	✅	✅	✅	❌	✅	5
Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds	✅	✅	✅	❌	✅	❌	✅	5
Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions	✅	❌	❌	❌	❌	❌	❌	1
Association-Focused Path Aggregation for Graph Fraud Detection	❌	✅	✅	✅	✅	❌	✅	5
Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
Asymmetric Dual-Lens Video Deblurring	❌	❌	✅	❌	✅	❌	✅	3
Asymmetric Duos: Sidekicks Improve Uncertainty	❌	✅	✅	✅	✅	❌	✅	5
Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards	❌	❌	✅	✅	❌	❌	✅	3
Asymptotic theory of SGD with a general learning-rate	❌	✅	✅	❌	❌	❌	✅	3
Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules	✅	✅	✅	❌	✅	❌	✅	5
Asymptotically exact variational flows via involutive MCMC kernels	✅	✅	✅	❌	✅	❌	✅	5
Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks	❌	✅	❌	❌	✅	❌	✅	3
AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians	❌	❌	✅	✅	✅	❌	✅	4
Atom of Thoughts for Markov LLM Test-Time Scaling	✅	✅	✅	❌	❌	❌	✅	4
Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra	✅	❌	✅	✅	✅	❌	✅	5
Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities	❌	✅	✅	✅	✅	❌	✅	5
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool	✅	✅	✅	✅	✅	❌	✅	6
Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs	❌	✅	✅	✅	✅	❌	✅	5
Attention (as Discrete-Time Markov) Chains	❌	✅	✅	✅	✅	❌	✅	5
Attention Mechanism, Max-Affine Partition, and Universal Approximation	❌	✅	✅	❌	❌	❌	❌	2
Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings	❌	✅	✅	✅	✅	❌	✅	5
Attention on the Sphere	❌	✅	✅	✅	✅	❌	✅	5
Attention with Trained Embeddings Provably Selects Important Tokens	❌	❌	✅	❌	❌	❌	✅	2
Attention! Your Vision Language Model Could Be Maliciously Manipulated	✅	✅	✅	✅	❌	❌	✅	5
Attention-based clustering	❌	✅	❌	❌	❌	✅	✅	3
AttentionPredictor: Temporal Patterns Matter for KV Cache Compression	✅	✅	✅	✅	✅	❌	✅	6
Attractive Metadata Attack: Inducing LLM Agents to Invoke Malicious Tools	✅	✅	✅	❌	✅	❌	✅	5
Attribution-Driven Adaptive Token Pruning for Transformers	❌	❌	✅	✅	✅	❌	✅	4
AudSemThinker: Enhancing Audio-Language Models Through Reasoning over Semantics of Sound	❌	✅	✅	✅	✅	✅	✅	6
Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models	❌	✅	✅	✅	✅	❌	✅	5
Audio Super-Resolution with Latent Bridge Models	❌	❌	✅	✅	✅	❌	✅	4
Audio-Sync Video Generation with Multi-Stream Temporal Control	❌	❌	❌	✅	✅	❌	✅	3
Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models	✅	✅	✅	✅	✅	✅	✅	7
Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives	❌	❌	❌	✅	❌	❌	✅	2
AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition	✅	✅	✅	❌	✅	❌	✅	5
AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping	✅	✅	✅	✅	✅	❌	✅	6
Auto-Compressing Networks	❌	✅	✅	✅	✅	❌	✅	5
Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization	❌	❌	✅	✅	✅	❌	✅	4
Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
AutoData: A Multi-Agent System for Open Web Data Collection	❌	✅	✅	✅	✅	✅	✅	6
AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise	✅	✅	✅	❌	❌	❌	✅	4
AutoEdit: Automatic Hyperparameter Tuning for Image Editing	✅	✅	✅	✅	✅	❌	✅	6
AutoJudge: Judge Decoding Without Manual Annotation	✅	✅	✅	✅	✅	✅	✅	7
AutoPartGen: Autoregressive 3D Part Generation and Discovery	❌	❌	✅	❌	✅	❌	✅	3
AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration	✅	❌	✅	❌	❌	❌	✅	3
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing	❌	✅	✅	✅	✅	❌	✅	5
AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling	✅	✅	✅	✅	❌	❌	✅	5
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning	✅	✅	✅	✅	✅	❌	✅	6
Autoencoding Random Forests	✅	✅	✅	✅	✅	❌	✅	6
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection	✅	❌	✅	❌	❌	✅	✅	4
Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent	✅	❌	✅	✅	✅	✅	✅	6
Automated Model Discovery via Multi-modal & Multi-step Pipeline	✅	❌	✅	✅	✅	❌	✅	5
Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction	✅	✅	✅	✅	✅	❌	✅	6
Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval	❌	✅	✅	✅	✅	❌	✅	5
Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization	✅	❌	✅	✅	✅	❌	✅	5
Automaton Constrained Q-Learning	✅	✅	❌	❌	✅	✅	✅	5
Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation	❌	❌	✅	✅	✅	✅	✅	5
Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling	❌	❌	✅	❌	❌	❌	✅	2
Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation	❌	❌	✅	✅	✅	❌	✅	4
Availability-aware Sensor Fusion via Unified Canonical Space	❌	✅	✅	❌	✅	❌	✅	4
Avoiding exp(R) scaling in RLHF through Preference-based Exploration	✅	✅	✅	❌	✅	❌	✅	5
Axial Neural Networks for Dimension-Free Foundation Models	❌	✅	✅	✅	✅	✅	✅	6
BADiff: Bandwidth Adaptive Diffusion Model	✅	✅	✅	✅	✅	✅	✅	7
BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation	✅	✅	✅	❌	✅	❌	✅	5
BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning	❌	✅	✅	✅	✅	❌	✅	5
BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
BLEUBERI: BLEU is a surprisingly effective reward for instruction following	❌	✅	✅	✅	✅	❌	✅	5
BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification	❌	✅	✅	✅	✅	❌	✅	5
BNMusic: Blending Environmental Noises into Personalized Music	❌	✅	✅	❌	✅	❌	✅	4
BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning	✅	✅	✅	✅	✅	❌	✅	6
BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent	❌	✅	✅	❌	✅	❌	✅	4
BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity	❌	✅	✅	✅	✅	✅	✅	6
Backdoor Cleaning without External Guidance in MLLM Fine-tuning	✅	✅	✅	✅	✅	❌	✅	6
Backdoor Mitigation via Invertible Pruning Masks	✅	✅	✅	✅	✅	❌	✅	6
Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment	✅	❌	✅	✅	✅	❌	✅	5
Backward Conformal Prediction	✅	❌	✅	✅	✅	❌	✅	5
BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization	✅	✅	✅	❌	✅	❌	✅	5
Balanced Active Inference	✅	✅	✅	❌	✅	❌	✅	5
Balanced Conic Rectified Flow	✅	❌	✅	❌	❌	❌	✅	3
Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization	❌	✅	✅	❌	✅	❌	✅	4
Balancing Gradient and Hessian Queries in Non-Convex Optimization	✅	❌	❌	❌	❌	❌	❌	1
Balancing Multimodal Training Through Game-Theoretic Regularization	✅	✅	✅	✅	✅	❌	✅	6
Balancing Performance and Costs in Best Arm Identification	✅	❌	✅	❌	✅	❌	✅	4
Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning	✅	✅	✅	✅	✅	❌	✅	6
Bandit Guided Submodular Curriculum for Adaptive Subset Selection	✅	✅	✅	✅	✅	✅	✅	7
Bandit and Delayed Feedback in Online Structured Prediction	✅	✅	✅	❌	✅	✅	✅	6
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming	❌	✅	✅	❌	✅	✅	✅	5
Bayes optimal learning of attention-indexed models	✅	✅	✅	✅	❌	✅	✅	6
Bayesian Concept Bottleneck Models with LLM Priors	✅	✅	✅	✅	❌	❌	✅	5
Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble	✅	✅	❌	❌	✅	❌	✅	4
BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading	❌	❌	✅	✅	✅	❌	✅	4
Behavior Injection: Preparing Language Models for Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks	✅	✅	✅	✅	✅	❌	✅	6
BeliefMapNav: 3D Voxel-Based Belief Map for Zero-Shot Object Navigation	✅	✅	✅	✅	✅	❌	✅	6
Benford’s Curse: Tracing Digit Bias to Numerical Hallucination in LLMs	❌	✅	✅	❌	✅	❌	✅	4
Benign Overfitting in Single-Head Attention	❌	❌	✅	❌	✅	❌	✅	3
Bernstein–von Mises for Adaptively Collected Data	✅	✅	✅	❌	❌	❌	✅	4
Best-of-N Jailbreaking	✅	✅	✅	✅	❌	❌	✅	5
Better Estimation of the Kullback--Leibler Divergence Between Language Models	✅	✅	✅	✅	✅	❌	✅	6
Better Language Model Inversion by Compactly Representing Next-Token Distributions	❌	✅	✅	✅	✅	❌	✅	5
Better NTK Conditioning: A Free Lunch from (ReLU) Nonlinear Activation in Wide Neural Networks	❌	❌	✅	❌	✅	❌	✅	3
Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging	❌	✅	✅	✅	✅	❌	✅	5
Better Training Data Attribution via Better Inverse Hessian-Vector Products	✅	✅	✅	✅	✅	✅	✅	7
BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization	❌	✅	✅	✅	✅	❌	✅	5
Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints	✅	✅	❌	❌	✅	❌	✅	4
Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning	❌	✅	✅	✅	✅	✅	✅	6
Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs	✅	✅	✅	✅	✅	❌	✅	6
Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis	✅	✅	✅	❌	✅	❌	✅	5
Beyond Benign Overfitting in Nadaraya-Watson Interpolators	❌	❌	✅	❌	❌	❌	✅	2
Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits	✅	✅	✅	✅	✅	✅	✅	7
Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models	✅	✅	✅	❌	✅	❌	❌	4
Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability	✅	✅	✅	✅	✅	❌	✅	6
Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation	❌	✅	✅	✅	❌	❌	✅	4
Beyond Last-Click: An Optimal Mechanism for Ad Attribution	❌	❌	❌	❌	❌	❌	✅	1
Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification	✅	✅	❌	❌	❌	❌	✅	3
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking	❌	✅	✅	✅	✅	❌	✅	5
Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation	✅	✅	✅	✅	✅	❌	✅	6
Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes	✅	✅	✅	✅	✅	❌	✅	6
Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs	✅	✅	✅	❌	✅	✅	✅	6
Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints	✅	✅	✅	✅	✅	❌	✅	6
Beyond Prediction: Managing the Repercussions of Machine Learning Applications	✅	❌	✅	✅	✅	❌	✅	5
Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation	✅	❌	✅	✅	✅	❌	✅	5
Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs	✅	❌	❌	❌	❌	❌	❌	1
Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers	❌	✅	✅	✅	✅	❌	✅	5
Beyond Scores: Proximal Diffusion Models	✅	✅	✅	✅	❌	❌	✅	5
Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs	✅	✅	✅	✅	✅	❌	✅	6
Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT	✅	✅	✅	✅	✅	✅	✅	7
Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions	✅	❌	✅	✅	✅	✅	✅	6
Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data	✅	❌	✅	✅	❌	❌	✅	4
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning	❌	❌	✅	✅	✅	❌	✅	4
Beyond the Average: Distributional Causal Inference under Imperfect Compliance	✅	✅	✅	✅	✅	❌	✅	6
Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning	✅	❌	✅	✅	✅	✅	✅	6
Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations	❌	✅	✅	✅	✅	❌	✅	5
BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation	✅	❌	✅	✅	✅	❌	✅	5
Bi-Directional Communication-Efficient Stochastic FL via Remote Source Generation	✅	✅	✅	❌	✅	❌	✅	5
Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data	✅	✅	✅	✅	✅	❌	✅	6
Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Bidirectional Representations Augmented Autoregressive Biological Sequence Generation	✅	✅	✅	✅	✅	❌	✅	6
Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents	❌	✅	✅	✅	✅	❌	✅	5
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners	❌	✅	✅	✅	✅	❌	✅	5
BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models	❌	✅	✅	✅	✅	❌	✅	5
Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models	❌	✅	✅	✅	✅	❌	✅	5
Bilevel Network Learning via Hierarchically Structured Sparsity	✅	✅	✅	✅	✅	❌	✅	6
Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond	✅	✅	✅	✅	✅	❌	✅	6
Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training	✅	❌	✅	✅	✅	❌	✅	5
Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression	✅	❌	✅	✅	✅	✅	✅	6
Bio-Inspired Image Restoration	❌	✅	✅	✅	✅	❌	✅	5
BioCG: Constrained Generative Modeling for Biochemical Interaction Prediction	❌	✅	✅	✅	✅	❌	✅	5
BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning	❌	✅	✅	✅	✅	❌	✅	5
BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics	✅	✅	✅	✅	✅	❌	✅	6
BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model	❌	✅	✅	✅	✅	❌	✅	5
Bipolar Self-attention for Spiking Transformers	❌	✅	✅	✅	✅	❌	✅	5
Bisecle: Binding and Separation in Continual Learning for Video Language Understanding	❌	✅	✅	✅	✅	❌	✅	5
Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios	✅	❌	✅	❌	✅	❌	✅	4
BitMark: Watermarking Bitwise Autoregressive Image Generative Models	✅	✅	✅	✅	✅	❌	✅	6
Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs	❌	✅	✅	✅	✅	❌	✅	5
Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions	❌	✅	✅	✅	❌	❌	✅	4
Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing	❌	✅	✅	✅	✅	❌	✅	5
Blackbox Model Provenance via Palimpsestic Membership Inference	✅	✅	✅	✅	✅	❌	✅	6
Blameless Users in a Clean Room: Defining Copyright Protection for Generative Models	✅	❌	❌	❌	❌	❌	❌	1
Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers	❌	✅	✅	✅	✅	❌	✅	5
Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames	❌	✅	✅	✅	✅	❌	✅	5
Block Coordinate Descent for Neural Networks Provably Finds Global Minima	✅	✅	❌	❌	✅	❌	✅	4
Block-Biased Mamba for Long-Range Sequence Processing	✅	✅	✅	✅	✅	❌	✅	6
Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving	✅	✅	✅	✅	✅	✅	✅	7
BlockDecoder: Boosting ASR Decoders with Context and Merger Modules	❌	✅	✅	✅	✅	❌	✅	5
BlockScan: Detecting Anomalies in Blockchain Transactions	✅	✅	✅	✅	✅	❌	✅	6
Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation	✅	✅	✅	✅	✅	❌	✅	6
BlurDM: A Blur Diffusion Model for Image Deblurring	❌	✅	✅	✅	✅	❌	✅	5
BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing	✅	✅	✅	✅	✅	❌	✅	6
Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration	✅	❌	✅	✅	✅	❌	✅	5
BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation	✅	✅	✅	✅	✅	✅	✅	7
Boosting Adversarial Transferability with Spatial Adversarial Alignment	✅	✅	✅	✅	✅	❌	✅	6
Boosting Generative Image Modeling via Joint Image-Feature Synthesis	❌	✅	✅	✅	✅	❌	✅	5
Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation	❌	✅	✅	✅	✅	❌	✅	5
Boosting Resilience of Large Language Models through Causality-Driven Robust Optimization	❌	❌	✅	❌	❌	❌	✅	2
Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers	✅	✅	✅	✅	✅	❌	✅	6
Bootstrap Off-policy with World Model	✅	✅	✅	❌	✅	❌	✅	5
Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport	✅	✅	✅	❌	✅	❌	✅	5
Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization	❌	✅	✅	✅	✅	✅	✅	6
Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities	❌	✅	✅	✅	✅	❌	✅	5
Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs	❌	✅	❌	✅	✅	✅	✅	5
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning	✅	✅	✅	✅	✅	✅	✅	7
Bounds on the computational complexity of neurons due to dendritic morphology	❌	❌	❌	❌	❌	❌	✅	1
BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces	✅	✅	❌	❌	✅	✅	✅	5
Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens	❌	✅	✅	✅	✅	❌	✅	5
Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected	✅	✅	✅	✅	✅	❌	✅	6
Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models	❌	✅	✅	✅	✅	❌	✅	5
Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling	✅	✅	✅	✅	✅	❌	✅	6
Brain-Like Processing Pathways Form in Models With Heterogeneous Experts	✅	✅	✅	❌	✅	❌	✅	5
Brain-like Variational Inference	✅	✅	✅	✅	✅	✅	✅	7
Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models	❌	✅	✅	✅	✅	✅	✅	6
BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM	✅	✅	✅	❌	✅	❌	✅	5
BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold	✅	❌	✅	✅	✅	❌	✅	5
BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model	❌	✅	✅	✅	✅	❌	✅	5
BrainODE: Neural Shape Dynamics for Age- and Disease-aware Brain Trajectories	✅	✅	✅	✅	❌	❌	✅	5
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals	✅	✅	✅	✅	✅	❌	✅	6
Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models	❌	❌	❌	❌	❌	❌	✅	1
Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection	✅	❌	✅	✅	✅	✅	✅	6
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining	✅	✅	✅	✅	✅	❌	✅	6
Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression	❌	✅	✅	✅	✅	❌	✅	5
Breaking the Discretization Barrier of Continuous Physics Simulation Learning	✅	✅	✅	✅	✅	❌	✅	6
Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining	✅	❌	✅	❌	✅	❌	✅	4
Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification	❌	✅	✅	✅	✅	❌	✅	5
Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs	✅	✅	❌	❌	✅	❌	✅	4
Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies	✅	✅	✅	❌	✅	❌	✅	5
Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation	❌	✅	✅	✅	✅	❌	✅	5
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection	❌	✅	✅	✅	✅	✅	✅	6
BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models	❌	❌	✅	✅	✅	❌	✅	4
Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity	✅	✅	✅	❌	✅	❌	✅	5
Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks	❌	✅	✅	✅	✅	❌	✅	5
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts	❌	✅	✅	✅	✅	❌	✅	5
Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains	❌	✅	❌	✅	✅	❌	✅	4
Bridging Expressivity and Scalability with Adaptive Unitary SSMs	❌	✅	✅	✅	✅	❌	✅	5
Bridging Human and LLM Judgments: Understanding and Narrowing the Gap	✅	✅	✅	✅	❌	❌	✅	5
Bridging Scales: Spectral Theory Reveals How Local Connectivity Rules Sculpt Global Neural Dynamics in Spatially Extended Networks	❌	✅	✅	❌	✅	❌	✅	4
Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation	✅	✅	✅	✅	❌	❌	✅	5
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness	❌	✅	✅	✅	✅	❌	✅	5
Bridging Theory and Practice in Link Representation with Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution	❌	✅	✅	✅	✅	❌	✅	5
Bridging the gap to real-world language-grounded visual concept learning	❌	✅	✅	✅	✅	❌	✅	5
Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery	❌	✅	✅	✅	✅	✅	✅	6
Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations	✅	✅	✅	❌	✅	❌	✅	5
Buffer layers for Test-Time Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Building 3D Representations and Generating Motions From a Single Image via Video-Generation	❌	❌	❌	❌	✅	❌	✅	2
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization	❌	✅	✅	✅	✅	❌	✅	5
Bézier Splatting for Fast and Differentiable Vector Graphics Rendering	✅	❌	✅	✅	✅	❌	✅	5
C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
C-NAV: Towards Self-Evolving Continual Object Navigation in Open World	✅	❌	✅	✅	✅	❌	✅	5
C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails	✅	❌	✅	❌	❌	❌	✅	3
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning	✅	✅	✅	❌	✅	❌	✅	5
CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward	✅	❌	❌	✅	✅	✅	✅	5
CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes	❌	❌	✅	✅	✅	❌	✅	4
CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop	❌	❌	✅	✅	✅	❌	✅	4
CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction	❌	❌	✅	✅	✅	❌	✅	4
CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs	❌	✅	✅	✅	✅	❌	✅	5
CALM: Culturally Self-Aware Language Models	✅	✅	✅	❌	✅	❌	✅	5
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension	❌	✅	✅	✅	✅	❌	✅	5
CAMILA: Context-Aware Masking for Image Editing with Language Alignment	❌	✅	✅	❌	❌	❌	✅	3
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems	❌	❌	✅	✅	✅	❌	✅	4
CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization	❌	✅	✅	✅	✅	❌	✅	5
CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching	✅	❌	✅	❌	✅	❌	✅	4
CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention	❌	❌	✅	❌	✅	❌	✅	3
CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs	✅	✅	✅	❌	✅	❌	✅	5
CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers	❌	❌	✅	✅	✅	✅	✅	5
CAT: Content-Adaptive Image Tokenization	❌	✅	✅	✅	✅	❌	✅	5
CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization	❌	✅	✅	✅	✅	❌	✅	5
CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization	❌	✅	✅	✅	❌	❌	✅	4
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation	✅	✅	✅	✅	✅	❌	✅	6
CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices	❌	❌	✅	✅	✅	❌	✅	4
CF-VLM:CounterFactual Vision-Language Fine-tuning	❌	❌	✅	✅	✅	✅	✅	5
CG-SSL: Concept-Guided Self-Supervised Learning	❌	❌	✅	✅	✅	❌	✅	4
CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis	❌	❌	✅	❌	✅	❌	✅	3
CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
CHiQPM: Calibrated Hierarchical Interpretable Image Classification	❌	✅	✅	✅	✅	❌	✅	5
CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs	✅	✅	✅	✅	✅	✅	✅	7
CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections	❌	✅	✅	✅	✅	❌	✅	5
CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up	❌	✅	✅	✅	✅	❌	✅	5
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting	❌	✅	✅	✅	✅	❌	✅	5
CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation	❌	✅	✅	❌	✅	❌	✅	4
CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering	✅	❌	✅	✅	✅	❌	✅	5
CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning	✅	✅	✅	✅	✅	❌	✅	6
COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation	✅	✅	✅	❌	✅	✅	✅	6
COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space	✅	✅	✅	❌	✅	❌	✅	5
COME: Adding Scene-Centric Forecasting Control to Occupancy World Model	❌	✅	✅	✅	✅	✅	✅	6
COOPERA: Continual Open-Ended Human-Robot Assistance	❌	❌	✅	✅	✅	✅	✅	5
CORAL: Disentangling Latent Representations in Long-Tailed Diffusion	✅	✅	✅	✅	✅	❌	✅	6
CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning	✅	✅	✅	❌	✅	❌	✅	5
CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs	✅	✅	✅	❌	✅	✅	✅	6
COS3D: Collaborative Open-Vocabulary 3D Segmentation	❌	✅	✅	❌	✅	❌	✅	4
CPO: Condition Preference Optimization for Controllable Image Generation	❌	❌	✅	❌	✅	❌	✅	3
CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models	✅	✅	✅	✅	✅	❌	✅	6
CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic	❌	❌	✅	✅	✅	❌	✅	4
CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection	✅	✅	✅	✅	✅	❌	✅	6
CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation	✅	✅	❌	❌	✅	✅	✅	5
CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding	❌	✅	✅	✅	✅	❌	✅	5
CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning	❌	✅	✅	✅	✅	❌	✅	5
CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding	❌	✅	✅	✅	✅	✅	✅	6
CSGO: Content-Style Composition in Text-to-Image Generation	✅	✅	✅	✅	✅	❌	✅	6
CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors	✅	✅	✅	✅	✅	✅	✅	7
CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D	❌	✅	✅	✅	✅	✅	✅	6
CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning	✅	✅	✅	✅	✅	❌	✅	6
CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation	❌	❌	✅	❌	✅	❌	✅	3
CVGL: Causal Learning and Geometric Topology	❌	✅	✅	✅	✅	❌	✅	5
CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination	❌	✅	✅	✅	✅	❌	✅	5
Calibrating Translation Decoding with Quality Estimation on LLMs	❌	✅	✅	✅	✅	✅	✅	6
CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing	❌	✅	✅	❌	❌	❌	✅	3
CamSAM2: Segment Anything Accurately in Camouflaged Videos	❌	✅	✅	✅	✅	❌	✅	5
Cameras as Relative Positional Encoding	❌	✅	✅	❌	❌	❌	✅	3
Can Agent Fix Agent Issues?	❌	✅	✅	✅	❌	❌	✅	4
Can Class-Priors Help Single-Positive Multi-Label Learning?	✅	❌	✅	✅	✅	❌	✅	5
Can DPO Learn Diverse Human Values? A Theoretical Scaling Law	❌	✅	✅	✅	✅	❌	✅	5
Can Dependencies Induced by LLM-Agent Workflows Be Trusted?	✅	✅	✅	✅	❌	❌	✅	5
Can Diffusion Models Disentangle? A Theoretical Perspective	❌	❌	✅	✅	✅	✅	✅	5
Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?	❌	✅	✅	✅	✅	❌	✅	5
Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning	✅	✅	✅	✅	❌	❌	✅	5
Can Large Language Models Master Complex Card Games?	❌	✅	✅	❌	✅	❌	✅	4
Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?	✅	✅	✅	✅	✅	❌	✅	6
Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance?	❌	✅	✅	✅	✅	❌	✅	5
Can NeRFs "See" without Cameras?	❌	❌	✅	✅	✅	❌	✅	4
Can We Infer Confidential Properties of Training Data from LLMs?	❌	✅	✅	✅	✅	❌	✅	5
Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images	❌	❌	✅	✅	✅	✅	✅	5
Caption This, Reason That: VLMs Caught in the Middle	❌	❌	✅	✅	✅	❌	✅	4
Capturing Individual Human Preferences with Reward Features	❌	❌	✅	✅	❌	❌	✅	3
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework	❌	✅	✅	✅	✅	❌	✅	5
Cascaded Language Models for Cost-Effective Human–AI Decision-Making	❌	✅	✅	✅	✅	❌	✅	5
Causal Climate Emulation with Bayesian Filtering	✅	✅	✅	✅	✅	❌	✅	6
Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
Causal Discovery and Inference through Next-Token Prediction	✅	✅	❌	✅	✅	✅	✅	6
Causal Discovery over Clusters of Variables in Markovian Systems	✅	✅	❌	❌	✅	❌	✅	4
Causal Explanation-Guided Learning for Organ Allocation	✅	✅	✅	✅	✅	❌	✅	6
Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers	❌	✅	✅	✅	✅	❌	✅	5
Causal LLM Routing: End-to-End Regret Minimization from Observational Data	❌	✅	✅	✅	✅	✅	✅	6
Causal Mixture Models: Characterization and Discovery	✅	✅	✅	✅	✅	❌	✅	6
Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach	✅	✅	✅	✅	✅	✅	✅	7
Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning	✅	✅	✅	❌	✅	❌	✅	5
Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration	✅	✅	✅	✅	✅	❌	✅	6
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning	✅	✅	✅	✅	✅	❌	✅	6
CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference	❌	✅	✅	✅	✅	❌	✅	5
Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems	✅	❌	✅	✅	❌	❌	✅	4
Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention	❌	✅	✅	❌	❌	❌	✅	3
Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features	❌	✅	✅	✅	❌	❌	✅	4
Causally Reliable Concept Bottleneck Models	❌	✅	✅	✅	✅	❌	✅	5
CellCLIP - Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning	❌	✅	✅	✅	✅	✅	✅	6
Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies	❌	✅	❌	❌	✅	❌	✅	3
Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors	✅	✅	✅	✅	✅	✅	✅	7
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions	❌	✅	✅	❌	✅	❌	✅	4
ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning	✅	✅	✅	✅	✅	❌	✅	6
Chain of Execution Supervision Promotes General Reasoning in Large Language Models	✅	❌	❌	✅	✅	❌	✅	4
Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation	✅	✅	✅	✅	✅	❌	✅	6
Chain-of-Model Learning for Language Model	✅	❌	✅	✅	✅	❌	✅	5
Chain-of-Retrieval Augmented Generation	❌	✅	✅	✅	✅	❌	✅	5
Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment	✅	✅	✅	✅	✅	❌	✅	6
Channel Matters: Estimating Channel Influence for Multivariate Time Series	✅	✅	✅	✅	✅	❌	✅	6
Channel Simulation and Distributed Compression with Ensemble Rejection Sampling	✅	❌	✅	❌	✅	❌	✅	4
Characterization and Learning of Causal Graphs from Hard Interventions	✅	✅	❌	❌	✅	❌	✅	4
Characterizing control between interacting subsystems with deep Jacobian estimation	❌	✅	✅	✅	✅	❌	✅	5
Characterizing the Expressivity of Fixed-Precision Transformer Language Models	❌	✅	❌	✅	✅	❌	✅	4
ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding	✅	✅	✅	✅	✅	✅	✅	7
ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning	❌	❌	✅	❌	✅	❌	✅	3
ChatbotID: Identifying Chatbots with Granger Causality Test	❌	✅	✅	❌	✅	❌	✅	4
Checklists Are Better Than Reward Models For Aligning Language Models	✅	✅	✅	❌	✅	❌	✅	5
ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions	✅	✅	✅	✅	✅	✅	✅	7
Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening	❌	❌	✅	✅	✅	❌	✅	4
Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search	❌	✅	✅	✅	✅	❌	✅	5
ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data	❌	✅	✅	✅	✅	❌	✅	5
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference	✅	❌	✅	✅	✅	❌	✅	5
Class conditional conformal prediction for multiple inputs by p-value aggregation	✅	✅	✅	✅	✅	❌	✅	6
Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation	✅	❌	✅	✅	✅	❌	✅	5
Class-wise Balancing Data Replay for Federated Class-Incremental Learning	✅	✅	✅	✅	✅	❌	✅	6
Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code	❌	✅	✅	✅	✅	✅	✅	6
Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification	✅	✅	✅	❌	✅	✅	✅	6
Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models	❌	✅	✅	❌	✅	❌	✅	4
Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution	❌	✅	✅	❌	✅	❌	✅	4
ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive	✅	✅	✅	❌	✅	✅	✅	6
Clustering via Hedonic Games: New Concepts and Algorithms	✅	✅	✅	❌	✅	❌	✅	5
Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models	❌	✅	✅	✅	✅	❌	✅	5
Co-Regularization Enhances Knowledge Transfer in High Dimensions	✅	✅	✅	✅	✅	❌	✅	6
Co-Reinforcement Learning for Unified Multimodal Understanding and Generation	❌	✅	✅	❌	✅	❌	✅	4
CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model	❌	✅	✅	✅	✅	❌	❌	4
CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs	❌	✅	✅	❌	✅	❌	✅	4
CoDA: Coordinated Diffusion Noise Optimization for Whole-Body Manipulation of Articulated Objects	❌	❌	✅	✅	✅	❌	✅	4
CoFFT: Chain of Foresight-Focus Thought for Visual Language Models	✅	❌	✅	✅	✅	❌	✅	5
CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization	✅	✅	✅	✅	✅	❌	✅	6
CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates	✅	❌	✅	✅	❌	❌	✅	4
CoP: Agentic Red-teaming for Large Language Models using Composition of Principles	✅	❌	✅	✅	✅	❌	✅	5
CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision	❌	❌	❌	❌	❌	❌	✅	1
CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring	❌	✅	✅	✅	✅	❌	✅	5
CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step	❌	✅	✅	❌	✅	❌	✅	4
CoUn: Empowering Machine Unlearning via Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching	❌	❌	✅	✅	✅	❌	✅	4
Coarse-to-Fine 3D Part Assembly via Semantic Super-Parts and Symmetry-Aware Pose Estimation	❌	✅	✅	✅	✅	❌	✅	5
Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks	❌	✅	✅	✅	✅	❌	✅	5
CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning	❌	✅	✅	❌	❌	❌	✅	3
CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs	❌	✅	✅	❌	✅	❌	✅	4
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving	❌	✅	✅	✅	✅	❌	✅	5
Codifying Character Logic in Role-Playing	✅	✅	✅	✅	✅	✅	✅	7
CogVLA: Cognition-Aligned Vision-Language-Action Models via Instruction-Driven Routing & Sparsification	❌	❌	✅	❌	✅	❌	✅	3
Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning	❌	✅	✅	✅	❌	❌	✅	4
Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations	❌	✅	✅	✅	✅	✅	✅	6
Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks	✅	✅	✅	❌	✅	❌	❌	4
Collapsing Taylor Mode Automatic Differentiation	❌	✅	❌	❌	✅	❌	✅	3
Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics	✅	❌	✅	✅	❌	❌	✅	4
Color Conditional Generation with Sliced Wasserstein Guidance	✅	✅	✅	✅	✅	❌	✅	6
Coloring Learning for Heterophilic Graph Representation	✅	✅	✅	✅	❌	❌	✅	5
ComPO: Preference Alignment via Comparison Oracles	✅	✅	✅	❌	✅	✅	✅	6
ComRank: Ranking Loss for Multi-Label Complementary Label Learning	✅	✅	✅	✅	✅	❌	✅	6
Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms	✅	✅	✅	✅	✅	❌	✅	6
Combining Cost Constrained Runtime Monitors for AI Safety	✅	✅	✅	✅	✅	❌	✅	6
ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback	❌	✅	✅	❌	✅	❌	❌	3
Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism	✅	✅	✅	✅	✅	❌	✅	6
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo	✅	❌	✅	✅	✅	❌	✅	5
Compact Memory for Continual Logistic Regression	✅	✅	✅	✅	✅	❌	✅	6
Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games	✅	❌	❌	❌	❌	❌	❌	1
Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization	✅	❌	❌	❌	❌	❌	❌	1
Competitive Advantage Attacks to Decentralized Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning	✅	✅	✅	✅	✅	✅	✅	7
Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning	❌	❌	✅	❌	✅	❌	✅	3
Complexity Scaling Laws for Neural Models using Combinatorial Optimization	❌	✅	✅	❌	✅	✅	✅	5
Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections	❌	✅	✅	❌	✅	❌	✅	4
Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets	❌	✅	❌	✅	✅	❌	✅	4
Composing Linear Layers from Irreducibles	✅	✅	✅	✅	✅	❌	✅	6
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data	✅	✅	✅	✅	✅	❌	✅	6
Composition and Alignment of Diffusion Models using Constrained Learning	✅	✅	✅	✅	✅	❌	✅	6
Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models	❌	✅	✅	❌	✅	✅	✅	5
Compositional Monte Carlo Tree Diffusion for Extendable Planning	✅	❌	✅	❌	✅	❌	✅	4
Compositional Neural Network Verification via Assume-Guarantee Reasoning	✅	✅	✅	✅	✅	❌	✅	6
Compositional Reasoning with Transformers, RNNs, and Chain of Thought	✅	❌	❌	❌	❌	❌	❌	1
Compress & Cache: Vision token compression for efficient generation and retrieval	❌	❌	✅	✅	✅	❌	✅	4
Compress Large Language Models via Collaboration Between Learning and Matrix Approximation	✅	✅	✅	❌	✅	❌	✅	5
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples	✅	✅	✅	✅	❌	❌	✅	5
Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers	✅	❌	✅	✅	✅	✅	✅	6
Computable universal online learning	❌	❌	❌	❌	❌	❌	❌	0
Computation and Memory-Efficient Model Compression with Gradient Reweighting	✅	✅	✅	✅	❌	❌	✅	5
Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms	✅	✅	❌	✅	✅	❌	✅	5
Computational Budget Should Be Considered in Data Selection	✅	✅	✅	✅	✅	✅	✅	7
Computational Efficiency under Covariate Shift in Kernel Ridge Regression	❌	❌	✅	✅	✅	❌	✅	4
Computational Hardness of Reinforcement Learning with Partial $q^{\pi}$-Realizability	❌	❌	❌	❌	❌	❌	❌	0
Compute-Optimal Scaling for Value-Based Deep RL	✅	✅	✅	✅	✅	❌	✅	6
ConTextTab: A Semantics-Aware Tabular In-Context Learner	❌	✅	✅	✅	✅	✅	✅	6
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling	✅	✅	✅	✅	❌	❌	✅	5
Concept Incongruence: An Exploration of Time and Death in Role Playing	❌	✅	✅	✅	✅	❌	✅	5
Concept-Guided Interpretability via Neural Chunking	✅	✅	✅	✅	✅	❌	✅	6
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts	❌	✅	✅	✅	✅	✅	✅	6
Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations	❌	✅	✅	✅	✅	✅	✅	6
Conditional Diffusion Anomaly Modeling on Graphs	✅	✅	✅	✅	✅	❌	✅	6
Conditional Distribution Compression via the Kernel Conditional Mean Embedding	✅	✅	✅	✅	✅	✅	✅	7
Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions	❌	✅	❌	❌	✅	❌	✅	3
Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization	✅	✅	✅	✅	❌	❌	✅	5
Conditional Panoramic Image Generation via Masked Autoregressive Modeling	❌	✅	✅	✅	✅	❌	✅	5
Conditional Representation Learning for Customized Tasks	✅	✅	✅	✅	✅	❌	✅	6
Conditioning Matters: Training Diffusion Policies is Faster Than You Think	✅	❌	✅	❌	✅	❌	✅	4
ConfTuner: Training Large Language Models to Express Their Confidence Verbally	❌	✅	✅	✅	✅	❌	✅	5
Confidence-Aware With Prototype Alignment for Partial Multi-label Learning	✅	❌	✅	✅	❌	❌	✅	4
Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text	✅	✅	✅	❌	✅	❌	✅	5
Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models	✅	✅	✅	✅	❌	❌	✅	5
Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization	✅	❌	✅	✅	❌	❌	✅	4
Conformal Information Pursuit for Interactively Guiding Large Language Models	✅	✅	✅	✅	✅	✅	✅	7
Conformal Linguistic Calibration: Trading-off between Factuality and Specificity	❌	✅	✅	❌	✅	❌	✅	4
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees	❌	✅	✅	✅	✅	✅	✅	6
Conformal Online Learning of Deep Koopman Linear Embeddings	✅	✅	✅	✅	✅	❌	✅	6
Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation	✅	✅	✅	✅	❌	❌	✅	5
Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models	✅	✅	✅	✅	❌	❌	✅	5
Conformal Prediction for Causal Effects of Continuous Treatments	✅	✅	✅	✅	✅	❌	✅	6
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation	✅	✅	✅	✅	✅	❌	✅	6
Conformal Prediction for Time-series Forecasting with Change Points	✅	✅	✅	✅	✅	❌	✅	6
Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization	✅	✅	✅	✅	✅	✅	✅	7
Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations	✅	❌	✅	✅	✅	❌	✅	5
Conformal Risk Training: End-to-End Optimization of Conformal Risk Control	✅	✅	✅	✅	✅	❌	✅	6
Confounding Robust Deep Reinforcement Learning: A Causal Approach	✅	❌	✅	✅	✅	❌	✅	5
Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning	❌	✅	✅	✅	✅	❌	✅	5
Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Connecting Neural Models Latent Geometries with Relative Geodesic Representations	✅	✅	✅	✅	✅	❌	✅	6
Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe	❌	✅	✅	❌	✅	❌	✅	4
Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations	❌	❌	✅	✅	✅	❌	✅	4
Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning	✅	❌	❌	❌	❌	❌	❌	1
Consistency Conditions for Differentiable Surrogate Losses	✅	❌	❌	❌	❌	❌	❌	1
Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations	❌	❌	❌	✅	✅	❌	✅	3
Consistency of the $k_n$-nearest neighbor rule under adaptive sampling	✅	❌	❌	❌	❌	❌	❌	1
Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning	✅	✅	✅	✅	✅	❌	✅	6
Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models	❌	✅	✅	✅	✅	✅	✅	6
Consistent Story Generation: Unlocking the Potential of Zigzag Sampling	✅	✅	✅	✅	✅	✅	✅	7
Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery	✅	❌	✅	✅	✅	❌	✅	5
Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning	❌	✅	✅	❌	✅	❌	❌	3
Constant Bit-size Transformers Are Turing Complete	❌	❌	❌	❌	❌	❌	❌	0
Constrained Best Arm Identification	❌	❌	❌	❌	❌	❌	✅	1
Constrained Diffusers for Safe Planning and Control	✅	✅	✅	❌	✅	❌	✅	5
Constrained Discrete Diffusion	✅	❌	✅	✅	✅	❌	✅	5
Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits	✅	❌	❌	❌	✅	❌	✅	3
Constrained Linear Thompson Sampling	✅	❌	✅	❌	✅	❌	✅	4
Constrained Optimization From a Control Perspective via Feedback Linearization	❌	✅	✅	❌	✅	❌	❌	3
Constrained Posterior Sampling: Time Series Generation with Hard Constraints	✅	✅	✅	✅	✅	❌	✅	6
Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective	✅	✅	✅	❌	✅	✅	✅	6
Constructing an Optimal Behavior Basis for the Option Keyboard	✅	✅	✅	✅	✅	❌	✅	6
Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation	❌	✅	✅	✅	✅	❌	✅	5
Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs	❌	✅	✅	✅	✅	❌	✅	5
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis	❌	✅	✅	✅	✅	❌	✅	5
ContextAgent: Context-Aware Proactive LLM Agents with Open-world Sensory Perceptions	❌	✅	✅	✅	✅	❌	✅	5
Contextual Dynamic Pricing with Heterogeneous Buyers	✅	❌	❌	❌	❌	❌	❌	1
Contextual Integrity in LLMs via Reasoning and Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
Contextual Online Pricing with (Biased) Offline Data	✅	✅	❌	❌	❌	❌	✅	3
Contextual Thompson Sampling via Generation of Missing Data	✅	✅	✅	✅	✅	❌	✅	6
Contextual Tokenization for Graph Inverted Indices	✅	✅	✅	✅	✅	❌	✅	6
Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time	❌	✅	✅	✅	✅	❌	✅	5
Continual Gaussian Mixture Distribution Modeling for Class Incremental Semantic Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Continual Knowledge Adaptation for Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity	✅	❌	✅	✅	✅	❌	✅	5
Continual Multimodal Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
Continual Optimization with Symmetry Teleportation for Multi-Task Learning	✅	✅	✅	✅	✅	❌	✅	6
Continual Release Moment Estimation with Differential Privacy	✅	❌	✅	❌	❌	❌	✅	3
Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models	❌	✅	✅	❌	❌	❌	✅	3
Continuous Concepts Removal in Text-to-image Diffusion Models	✅	❌	✅	✅	❌	❌	✅	4
Continuous Diffusion Model for Language Modeling	✅	✅	✅	✅	✅	❌	✅	6
Continuous Domain Generalization	✅	✅	✅	✅	✅	❌	✅	6
Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control	✅	❌	✅	❌	✅	❌	✅	4
Continuous Simplicial Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization	✅	✅	✅	❌	✅	❌	✅	5
Continuous Subspace Optimization for Continual Learning	✅	✅	✅	✅	✅	✅	✅	7
Continuous Thought Machines	✅	✅	✅	✅	✅	❌	✅	6
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space	✅	❌	✅	❌	❌	❌	✅	3
Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees	❌	❌	✅	✅	✅	❌	✅	4
Contrastive Representations for Temporal Reasoning	✅	✅	✅	✅	✅	❌	✅	6
Contrastive Self-Supervised Learning As Neural Manifold Packing	✅	✅	✅	✅	✅	❌	✅	6
Contribution of task-irrelevant stimuli to drift of neural representations	❌	✅	✅	❌	✅	❌	✅	4
ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts	❌	✅	✅	✅	✅	❌	✅	5
Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration	✅	✅	✅	✅	❌	❌	✅	5
Controllable Human-centric Keyframe Interpolation with Generative Prior	❌	❌	❌	✅	✅	❌	✅	3
Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors	✅	✅	✅	✅	✅	❌	✅	6
Controlling The Spread of Epidemics on Networks with Differential Privacy	✅	❌	✅	❌	❌	❌	✅	3
Controlling Thinking Speed in Reasoning Models	✅	✅	✅	✅	✅	❌	✅	6
Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization	✅	✅	❌	❌	✅	❌	✅	4
Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares	❌	✅	✅	❌	✅	❌	✅	4
Convergence Rates of Constrained Expected Improvement	✅	✅	✅	✅	✅	❌	✅	6
Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning	❌	❌	❌	❌	❌	❌	✅	1
Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions	✅	✅	✅	❌	✅	❌	✅	5
Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data	❌	✅	❌	❌	✅	❌	✅	3
Convergent Functions, Divergent Forms	✅	✅	✅	❌	✅	❌	✅	5
Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy	✅	✅	✅	✅	✅	❌	✅	6
Convex Potential Mirror Langevin Algorithm for Efficient Sampling of Energy-Based Models	✅	❌	✅	✅	✅	❌	✅	5
Convolution Goes Higher-Order: A Biologically Inspired Mechanism Empowers Image Classification	❌	✅	✅	✅	✅	❌	✅	5
Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles	❌	✅	✅	❌	✅	❌	✅	4
Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers	❌	✅	✅	✅	✅	❌	✅	5
Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework	✅	✅	✅	✅	❌	❌	✅	5
CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment	❌	❌	✅	❌	✅	❌	❌	2
Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers	✅	✅	✅	❌	✅	❌	✅	5
Coresets for Clustering Under Stochastic Noise	✅	✅	✅	❌	✅	❌	✅	5
Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems	✅	✅	✅	❌	✅	❌	✅	5
Correcting misinterpretations of additive models	❌	✅	✅	✅	✅	❌	✅	5
Corrector Sampling in Language Models	✅	❌	✅	✅	✅	❌	✅	5
Correlated Low-Rank Adaptation for ConvNets	❌	✅	✅	✅	✅	❌	✅	5
Correlation Dimension of Autoregressive Large Language Models	✅	✅	✅	✅	❌	❌	✅	5
Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling	❌	✅	✅	✅	✅	❌	✅	5
Cost-Aware Contrastive Routing for LLMs	❌	❌	✅	✅	✅	❌	✅	4
Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage	✅	✅	✅	❌	✅	✅	✅	6
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning	✅	✅	✅	✅	✅	❌	✅	6
Cost-aware LLM-based Online Dataset Annotation	✅	❌	✅	✅	❌	❌	✅	4
Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning	✅	✅	✅	❌	❌	❌	❌	3
Counterfactual Evolution of Multimodal Datasets via Visual Programming	✅	✅	✅	✅	❌	❌	❌	4
Counterfactual Identifiability via Dynamic Optimal Transport	❌	❌	✅	✅	✅	❌	✅	4
Counterfactual Image Editing with Disentangled Causal Latent Space	✅	✅	✅	❌	✅	❌	✅	5
Counterfactual Implicit Feedback Modeling	❌	✅	✅	✅	✅	❌	✅	5
Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Counterfactual reasoning: an analysis of in-context emergence	❌	✅	❌	✅	✅	❌	✅	4
Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling	✅	✅	✅	✅	✅	❌	✅	6
Coupling Generative Modeling and an Autoencoder with the Causal Bridge	❌	✅	✅	✅	✅	❌	✅	5
CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder	✅	✅	✅	✅	✅	❌	✅	6
Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Covariate-moderated Empirical Bayes Matrix Factorization	✅	✅	✅	✅	✅	❌	✅	6
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization	✅	✅	✅	❌	✅	❌	✅	5
Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Credal Prediction based on Relative Likelihood	✅	✅	✅	✅	✅	❌	✅	6
Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training	✅	❌	✅	✅	✅	❌	✅	5
CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding	✅	✅	✅	✅	✅	❌	✅	6
Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model	❌	✅	✅	❌	✅	❌	✅	4
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling	❌	✅	✅	✅	✅	❌	✅	5
Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models	✅	✅	✅	✅	✅	❌	✅	6
Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect	❌	❌	✅	❌	✅	✅	✅	4
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling	✅	✅	✅	✅	✅	❌	✅	6
CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning	✅	❌	✅	✅	❌	❌	✅	4
Crucible: Quantifying the Potential of Control Algorithms through LLM Agents	✅	✅	✅	❌	❌	❌	✅	4
CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing	✅	✅	✅	❌	✅	❌	✅	5
Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL	✅	✅	✅	✅	✅	❌	✅	6
Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation	❌	❌	✅	✅	✅	❌	✅	4
Curious Causality-Seeking Agents in Open-ended Worlds	✅	✅	✅	❌	✅	✅	✅	6
Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity	❌	✅	❌	❌	✅	❌	✅	3
Curly Flow Matching for Learning Non-gradient Field Dynamics	✅	✅	✅	✅	✅	❌	✅	6
Curriculum Abductive Learning	✅	✅	✅	❌	✅	❌	✅	5
Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs	✅	✅	✅	✅	✅	❌	✅	6
Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization	❌	✅	✅	✅	❌	❌	✅	4
Curvature Tuning: Provable Training-free Model Steering From a Single Parameter	✅	✅	✅	✅	✅	❌	✅	6
CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning	❌	✅	✅	✅	✅	✅	✅	6
Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization	✅	✅	✅	❌	✅	❌	✅	5
Cyclic Counterfactuals under Shift–Scale Interventions	❌	❌	❌	❌	❌	❌	❌	0
CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation	❌	✅	✅	✅	✅	❌	✅	5
Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation	❌	✅	✅	✅	✅	❌	✅	5
D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction	❌	❌	✅	✅	✅	❌	✅	4
D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images	❌	✅	✅	✅	✅	✅	✅	6
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction	❌	✅	✅	✅	✅	❌	✅	5
DAA: Amplifying Unknown Discrepancy for Test-Time Discovery	✅	✅	✅	✅	❌	❌	✅	5
DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series	❌	✅	✅	✅	✅	✅	✅	6
DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning	✅	✅	✅	✅	❌	❌	✅	5
DAMamba: Vision State Space Model with Dynamic Adaptive Scan	❌	✅	✅	✅	✅	❌	✅	5
DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization	✅	✅	✅	✅	❌	❌	✅	5
DAPO: An Open-Source LLM Reinforcement Learning System at Scale	✅	✅	✅	❌	❌	❌	✅	4
DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space	✅	❌	✅	✅	✅	❌	✅	5
DBLoss: Decomposition-based Loss Function for Time Series Forecasting	✅	✅	✅	✅	✅	✅	✅	7
DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting	✅	✅	✅	✅	✅	❌	✅	6
DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases	✅	✅	✅	✅	✅	❌	✅	6
DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing	✅	✅	✅	❌	✅	❌	✅	5
DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer	✅	❌	✅	❌	✅	❌	✅	4
DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models	❌	✅	✅	❌	✅	❌	✅	4
DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting	❌	❌	✅	❌	✅	❌	✅	3
DERD-Net: Learning Depth from Event-based Ray Densities	❌	✅	✅	✅	✅	❌	✅	5
DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models	✅	✅	✅	❌	✅	✅	✅	6
DGH: Dynamic Gaussian Hair	✅	❌	❌	✅	✅	❌	✅	4
DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos	❌	❌	✅	❌	✅	❌	✅	3
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration	✅	✅	✅	✅	✅	❌	✅	6
DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks	✅	❌	✅	❌	✅	❌	✅	4
DIFFSSR: Stereo Image Super-resolution Using Differential Transformer	❌	✅	✅	✅	✅	❌	✅	5
DINGO: Constrained Inference for Diffusion LLMs	✅	✅	✅	❌	✅	❌	✅	5
DINO-Foresight: Looking into the Future with DINO	❌	✅	✅	✅	✅	❌	✅	5
DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data	✅	✅	✅	✅	✅	❌	✅	6
DISC: Dynamic Decomposition Improves LLM Inference Scaling	✅	❌	✅	✅	✅	❌	✅	5
DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
DISCO: Disentangled Communication Steering for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning	✅	✅	❌	❌	✅	❌	✅	4
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging	✅	✅	✅	✅	✅	❌	✅	6
DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning	❌	✅	✅	✅	✅	❌	✅	5
DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning	✅	✅	✅	❌	❌	❌	✅	4
DMWM: Dual-Mind World Model with Long-Term Imagination	✅	✅	✅	✅	❌	❌	✅	5
DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform	✅	✅	✅	✅	✅	❌	✅	6
DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm	❌	✅	✅	✅	✅	✅	✅	6
DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing	✅	❌	✅	❌	❌	❌	✅	3
DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection	❌	✅	✅	✅	✅	❌	✅	5
DOTA: Distributional Test-time Adaptation of Vision-Language Models	✅	✅	✅	✅	✅	❌	✅	6
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution	❌	✅	✅	❌	✅	❌	✅	4
DOVTrack: Data-Efficient Open-Vocabulary Tracking	❌	❌	✅	❌	✅	❌	✅	3
DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment	✅	✅	✅	✅	✅	❌	✅	6
DPA: A one-stop metric to measure bias amplification in classification datasets	❌	✅	✅	✅	✅	❌	✅	5
DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization	✅	✅	✅	✅	❌	❌	✅	5
DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution	❌	✅	✅	✅	✅	❌	✅	5
DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding	❌	✅	✅	✅	✅	❌	✅	5
DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents	❌	✅	✅	❌	❌	❌	✅	3
DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering	❌	✅	✅	✅	✅	✅	✅	6
DSCS: Fast CPDAG-Based Verification of Collapsible Submodels in High-Dimensional Bayesian Networks	✅	✅	✅	✅	✅	❌	✅	6
DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs	❌	✅	✅	✅	✅	❌	✅	5
DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing	❌	✅	✅	✅	✅	❌	✅	5
DUET: Dual-Perspective Pseudo Labeling and Uncertainty-aware Exploration & Exploitation Training for Source-Free Domain Adaptation	❌	✅	✅	✅	✅	❌	✅	5
DUO: No Compromise to Accuracy Degradation	✅	✅	✅	❌	✅	❌	✅	5
DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization	✅	✅	✅	✅	✅	❌	✅	6
Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning	✅	✅	✅	✅	✅	❌	✅	6
Data Fusion for Partial Identification of Causal Effects	✅	✅	✅	✅	✅	❌	✅	6
Data Mixing Can Induce Phase Transitions in Knowledge Acquisition	✅	❌	✅	✅	✅	❌	✅	5
Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework	✅	✅	✅	✅	✅	✅	✅	7
Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models	✅	✅	✅	✅	✅	❌	✅	6
Data-Adaptive Exposure Thresholds under Network Interference	✅	✅	✅	❌	✅	❌	✅	5
Data-Dependent Regret Bounds for Constrained MABs	✅	❌	❌	❌	❌	❌	❌	1
Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions	✅	✅	✅	✅	✅	❌	✅	6
DataRater: Meta-Learned Dataset Curation	✅	❌	✅	✅	✅	❌	✅	5
Dataset Distillation for Pre-Trained Self-Supervised Vision Models	❌	✅	✅	✅	✅	✅	✅	6
Dataset Distillation of 3D Point Clouds via Distribution Matching	❌	❌	✅	✅	✅	❌	✅	4
Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality	✅	✅	✅	❌	✅	❌	✅	5
DeCaFlow: A deconfounding causal generative model	✅	✅	✅	✅	✅	❌	✅	6
DePass: Unified Feature Attributing by Simple Decomposed Forward Pass	❌	✅	✅	❌	✅	❌	✅	4
Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?	❌	✅	✅	✅	✅	❌	✅	5
DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models	❌	❌	✅	❌	✅	✅	✅	4
Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning	✅	✅	✅	❌	✅	❌	✅	5
Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery	❌	✅	✅	✅	✅	❌	✅	5
Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation	❌	✅	✅	✅	✅	✅	✅	6
Decoding Causal Structure: End-to-End Mediation Pathways Inference	✅	❌	✅	✅	❌	❌	✅	4
DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition	❌	✅	✅	✅	✅	❌	✅	5
Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components	❌	✅	❌	❌	❌	❌	✅	2
Decomposing motor units through elimination for real-time intention driven assistive neurotechnology	✅	❌	❌	❌	✅	✅	✅	4
Decomposing stimulus-specific sensory neural information via diffusion models	❌	✅	✅	✅	✅	✅	✅	6
Decoupled Entropy Minimization	✅	✅	✅	✅	✅	❌	✅	6
Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport	✅	✅	✅	❌	❌	❌	✅	4
Deep Compositional Phase Diffusion for Long Motion Sequence Generation	✅	✅	✅	✅	❌	❌	✅	5
Deep Continuous-Time State-Space Models for Marked Event Sequences	✅	✅	✅	✅	✅	❌	✅	6
Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning	❌	✅	✅	✅	✅	❌	✅	5
Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting	✅	❌	✅	❌	✅	❌	✅	4
Deep Learning with Plausible Deniability	✅	✅	✅	✅	✅	❌	✅	6
Deep Legendre Transform	❌	✅	❌	✅	✅	❌	✅	4
Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments	❌	✅	❌	✅	✅	❌	✅	4
Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery	❌	❌	✅	✅	✅	❌	✅	4
Deep Tree Tensor Networks	✅	✅	✅	✅	✅	❌	✅	6
Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences	✅	✅	✅	✅	✅	❌	✅	6
Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding	✅	✅	✅	✅	❌	✅	✅	6
Deep learning for continuous-time stochastic control with jumps	✅	✅	❌	✅	✅	❌	✅	5
DeepASA: An Object-Oriented Multi-Purpose Network for Auditory Scene Analysis	❌	✅	✅	❌	✅	❌	✅	4
DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning	❌	❌	✅	✅	❌	✅	✅	4
DeepHalo: A Neural Choice Model with Controllable Context Effects	❌	✅	✅	✅	✅	❌	✅	5
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer	✅	✅	✅	✅	✅	❌	✅	6
DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO	❌	✅	✅	✅	✅	❌	✅	5
Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning	❌	✅	✅	✅	✅	❌	✅	5
Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts	❌	✅	✅	✅	✅	❌	✅	5
Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs	✅	✅	✅	✅	✅	❌	✅	6
Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration	❌	❌	✅	✅	❌	❌	✅	3
Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency	✅	✅	✅	❌	✅	❌	✅	5
Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs	❌	✅	✅	✅	✅	❌	✅	5
Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction	✅	✅	✅	✅	✅	❌	✅	6
DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method	✅	✅	✅	✅	✅	❌	✅	6
DeltaFormer: Unlock the state space of Transformer	✅	✅	✅	❌	✅	❌	✅	5
DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving	✅	✅	✅	✅	✅	❌	✅	6
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products	❌	✅	✅	✅	✅	❌	✅	5
Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy	❌	✅	✅	✅	✅	❌	✅	5
Delving into Large Language Models for Effective Time-Series Anomaly Detection	✅	✅	✅	❌	✅	❌	✅	5
Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO	❌	✅	✅	❌	✅	❌	✅	4
Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer	✅	✅	✅	✅	❌	❌	✅	5
Demystifying Language Model Forgetting with Low-rank Example Associations	❌	✅	✅	✅	✅	❌	✅	5
Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning	❌	✅	✅	❌	✅	❌	✅	4
Demystifying Spectral Feature Learning for Instrumental Variable Regression	❌	✅	✅	✅	❌	❌	✅	4
Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling	❌	✅	✅	✅	✅	✅	✅	6
Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method	❌	✅	✅	❌	✅	❌	✅	4
DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration	✅	✅	✅	✅	✅	❌	✅	6
Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection	❌	❌	✅	✅	✅	❌	✅	4
Dense Associative Memory with Epanechnikov Energy	✅	✅	✅	❌	✅	❌	✅	5
Dense Backpropagation Improves Training for Sparse Mixture-of-Experts	❌	✅	✅	❌	❌	❌	✅	3
Dense Metric Depth Estimation via Event-based Differential Focus Volume Prompting	❌	❌	✅	✅	✅	❌	✅	4
Dense SAE Latents Are Features, Not Bugs	❌	❌	✅	❌	✅	❌	✅	3
DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
Density Ratio-Free Doubly Robust Proxy Causal Learning	✅	✅	✅	✅	❌	❌	✅	5
Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding	✅	✅	✅	✅	✅	❌	✅	6
Dependency Parsing is More Parameter-Efficient with Normalization	❌	✅	✅	✅	✅	❌	✅	5
Deployment Efficient Reward-Free Exploration with Linear Function Approximation	✅	❌	❌	❌	❌	❌	❌	1
Depth-Bounds for Neural Networks via the Braid Arrangement	❌	❌	❌	❌	❌	❌	❌	0
Depth-Supervised Fusion Network for Seamless-Free Image Stitching	❌	✅	✅	❌	✅	❌	✅	4
Depth-Width Tradeoffs for Transformers on Graph Tasks	❌	✅	✅	✅	❌	❌	✅	4
DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches	❌	✅	✅	✅	❌	❌	✅	4
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding	✅	✅	✅	❌	✅	❌	✅	5
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference	✅	✅	❌	❌	❌	❌	✅	3
DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization	✅	✅	✅	✅	✅	❌	✅	6
Detecting Data Deviations in Electronic Health Records	✅	✅	✅	✅	✅	✅	✅	7
Detecting Generated Images by Fitting Natural Image Distributions	❌	✅	✅	❌	✅	✅	✅	5
Detecting High-Stakes Interactions with Activation Probes	❌	✅	✅	✅	✅	❌	✅	5
Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing	❌	✅	✅	✅	✅	❌	✅	5
DevFD : Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces	❌	✅	✅	✅	❌	❌	✅	4
DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation	❌	✅	❌	✅	✅	❌	✅	4
DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy	❌	✅	✅	✅	✅	✅	✅	6
DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling	✅	✅	✅	✅	✅	❌	✅	6
DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control	✅	✅	✅	❌	✅	❌	✅	5
DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning	✅	❌	✅	✅	✅	❌	✅	5
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients	❌	✅	✅	✅	✅	❌	✅	5
Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior	❌	❌	✅	✅	✅	❌	✅	4
DiffBreak: Is Diffusion-Based Purification Robust?	✅	✅	✅	✅	✅	❌	✅	6
DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy	❌	❌	✅	✅	✅	❌	✅	4
DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images	✅	❌	✅	✅	✅	❌	✅	5
DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction	✅	❌	✅	✅	✅	❌	✅	5
Differentiable Constraint-Based Causal Discovery	✅	✅	✅	❌	✅	❌	✅	5
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders	✅	✅	✅	✅	✅	❌	✅	6
Differentiable Decision Tree via "ReLU+Argmin" Reformulation	✅	✅	✅	✅	✅	❌	✅	6
Differentiable Generalized Sliced Wasserstein Plans	✅	✅	✅	✅	✅	❌	✅	6
Differentiable Hierarchical Visual Tokenization	✅	✅	✅	✅	✅	❌	✅	6
Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization	✅	❌	✅	✅	✅	❌	✅	5
Differentiable Structure Learning and Causal Discovery for General Binary Data	✅	❌	✅	❌	✅	❌	✅	4
Differentiable extensions with rounding guarantees for combinatorial optimization over permutations	✅	✅	✅	✅	✅	❌	✅	6
Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming	✅	❌	❌	❌	❌	❌	❌	1
Differential Privacy on Fully Dynamic Streams	✅	❌	❌	❌	❌	❌	❌	1
Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates	✅	❌	❌	❌	❌	❌	❌	1
Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix	✅	✅	✅	✅	✅	❌	✅	6
Differentially Private Gomory-Hu Trees	✅	❌	❌	❌	❌	❌	❌	1
Differentially Private High-dimensional Variable Selection via Integer Programming	✅	✅	❌	✅	✅	❌	✅	5
Differentially Private Quantiles with Smaller Error	✅	✅	✅	❌	✅	❌	✅	5
Differentially Private Relational Learning with Entity-level Privacy Guarantees	✅	✅	✅	✅	✅	✅	✅	7
Differentiation Through Black-Box Quadratic Programming Solvers	✅	✅	✅	❌	✅	✅	✅	6
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing	❌	✅	✅	✅	✅	❌	✅	5
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models	✅	✅	✅	✅	✅	✅	✅	7
Diffusion Beats Autoregressive in Data-Constrained Settings	✅	✅	✅	❌	✅	❌	✅	5
Diffusion Feature Field for Text-based 3D Editing with Gaussian Splatting	❌	❌	✅	❌	❌	❌	✅	2
Diffusion Federated Dataset	✅	✅	✅	✅	✅	❌	✅	6
Diffusion Generative Modeling on Lie Group Representations	✅	✅	✅	✅	❌	❌	✅	5
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization	❌	✅	✅	✅	✅	❌	✅	5
Diffusion Models Meet Contextual Bandits	✅	✅	✅	✅	✅	❌	✅	6
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive	❌	✅	✅	✅	❌	❌	✅	4
Diffusion Network Inference for Cross-layer Cascades	✅	✅	✅	❌	✅	✅	✅	6
Diffusion Transformers as Open-World Spatiotemporal Foundation Models	❌	✅	✅	✅	❌	❌	✅	4
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification	✅	✅	✅	✅	✅	❌	✅	6
Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models	✅	✅	✅	✅	✅	❌	✅	6
Diffusion on Demand: Selective Caching and Modulation for Efficient Generation	✅	❌	✅	✅	✅	✅	✅	6
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics	❌	❌	✅	✅	✅	❌	✅	4
Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL	✅	❌	✅	✅	✅	✅	✅	6
Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation	❌	✅	✅	❌	✅	❌	✅	4
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation	✅	✅	✅	✅	❌	❌	✅	5
Diffusion-Guided Graph Data Augmentation	❌	✅	✅	✅	✅	❌	✅	5
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis	❌	✅	✅	✅	✅	❌	✅	5
Dimension-adapted Momentum Outscales SGD	✅	❌	✅	✅	❌	❌	✅	4
Dimension-free Score Matching and Time Bootstrapping for Diffusion Models	✅	✅	❌	✅	✅	❌	✅	5
Dimensional Collapse in VQVAEs: Evidence and Remedies	✅	✅	✅	❌	✅	❌	✅	5
Dimensionality Mismatch Between Brains and Artificial Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Direct Alignment with Heterogeneous Preferences	❌	✅	✅	✅	❌	❌	✅	4
Direct Fisher Score Estimation for Likelihood Maximization	✅	✅	✅	❌	✅	❌	✅	5
Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning	❌	❌	✅	✅	✅	❌	✅	4
Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention	✅	❌	✅	❌	✅	✅	✅	5
Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models	✅	❌	✅	✅	✅	❌	✅	5
DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization	✅	✅	✅	❌	✅	❌	✅	5
DisMo: Disentangled Motion Representations for Open-World Motion Transfer	❌	✅	✅	✅	✅	❌	✅	5
Discovering Compositional Hallucinations in LVLMs	❌	❌	✅	❌	✅	❌	✅	3
Discovering Data Structures: Nearest Neighbor Search and Beyond	❌	✅	✅	✅	✅	❌	✅	5
Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective	✅	❌	✅	✅	✅	❌	✅	5
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation	✅	❌	✅	❌	✅	❌	✅	4
Discovering Opinion Intervals from Conflicts in Signed Graphs	✅	✅	✅	❌	✅	❌	✅	5
Discovering Symbolic Partial Differential Equation by Abductive Learning	✅	✅	✅	✅	✅	❌	✅	6
Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees	✅	❌	❌	❌	❌	❌	✅	2
Discrete Neural Flow Samplers with Locally Equivariant Transformer	✅	✅	✅	✅	✅	❌	✅	6
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling	✅	✅	✅	❌	✅	❌	✅	5
Discretization-free Multicalibration through Loss Minimization over Tree Ensembles	✅	✅	✅	✅	✅	❌	✅	6
Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition	❌	✅	✅	✅	✅	❌	❌	4
Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision	✅	✅	✅	✅	✅	❌	✅	6
Disentangled Representation Learning via Modular Compositional Bias	✅	❌	✅	✅	✅	❌	✅	5
Disentangling Hyperedges through the Lens of Category Theory	❌	✅	✅	✅	✅	✅	✅	6
Disentangling Latent Shifts of In-Context Learning with Weak Supervision	❌	✅	✅	✅	✅	❌	✅	5
Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms	❌	✅	✅	✅	✅	❌	✅	5
Disentangling misreporting from genuine adaptation in strategic settings: a causal approach	✅	✅	✅	✅	✅	✅	✅	7
Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search	✅	❌	✅	✅	✅	❌	✅	5
Distance-informed Neural Processes	✅	✅	✅	✅	✅	❌	✅	6
Distances for Markov chains from sample streams	✅	✅	✅	❌	❌	❌	✅	4
Distil-E2D: Distilling Image-to-Depth Priors for Event-Based Monocular Depth Estimation	❌	✅	✅	✅	✅	✅	✅	6
Distillation Robustifies Unlearning	✅	✅	✅	✅	✅	❌	✅	6
Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation	✅	✅	✅	✅	✅	❌	✅	6
Distilling LLM Agent into Small Models with Retrieval and Code Tools	❌	✅	✅	✅	✅	❌	✅	5
Distilling LLM Prior to Flow Model for Generalizable Agent’s Imagination in Object Goal Navigation	✅	✅	✅	✅	✅	❌	✅	6
Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?	❌	❌	❌	❌	❌	❌	❌	0
Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks	✅	✅	✅	❌	❌	❌	✅	4
Distributed mediation analysis with communication efficiency	✅	✅	❌	✅	✅	❌	✅	5
Distribution Learning Meets Graph Structure Sampling	✅	❌	❌	❌	❌	❌	❌	1
Distribution-Aligned Decoding for Efficient LLM Task Adaptation	✅	✅	✅	✅	❌	❌	✅	5
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks	✅	✅	✅	❌	✅	✅	✅	6
Distributional Adversarial Attacks and Training in Deep Hedging	✅	✅	✅	✅	✅	❌	✅	6
Distributional Autoencoders Know the Score	❌	✅	✅	❌	✅	✅	✅	5
Distributional LLM-as-a-Judge	❌	✅	✅	✅	✅	❌	✅	5
Distributional Training Data Attribution: What do Influence Functions Sample?	✅	✅	✅	❌	❌	❌	✅	4
Distributionally Robust Feature Selection	✅	✅	✅	✅	✅	❌	✅	6
Distributionally Robust Performative Optimization	❌	❌	✅	✅	✅	✅	✅	5
Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values	❌	✅	✅	❌	❌	❌	✅	3
DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection	✅	✅	✅	✅	✅	❌	✅	6
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum	❌	✅	✅	✅	✅	❌	✅	5
Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability	❌	✅	✅	✅	✅	❌	✅	5
Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy	✅	❌	❌	❌	✅	❌	✅	3
Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes	✅	❌	✅	✅	✅	❌	✅	5
Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data	❌	✅	✅	✅	✅	✅	✅	6
Diversity-Aware Policy Optimization for Large Language Model Reasoning	❌	✅	✅	✅	✅	✅	✅	6
Diversity-oriented Deep Multi-modal Clustering	✅	✅	✅	❌	✅	❌	✅	5
Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation	❌	❌	✅	✅	❌	❌	✅	3
Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness	✅	✅	✅	✅	✅	❌	✅	6
Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns	❌	✅	✅	❌	✅	❌	✅	4
Do Language Models Use Their Depth Efficiently?	❌	✅	✅	✅	✅	❌	✅	5
Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study	❌	✅	❌	❌	✅	❌	✅	3
Do different prompting methods yield a common task representation in language models?	❌	✅	✅	✅	✅	❌	✅	5
Do-PFN: In-Context Learning for Causal Effect Estimation	✅	✅	✅	❌	✅	❌	✅	5
DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel	✅	✅	❌	❌	❌	❌	✅	3
Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback	❌	✅	✅	✅	✅	✅	✅	6
Document Summarization with Conformal Importance Guarantees	✅	✅	✅	✅	✅	❌	✅	6
Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?	✅	✅	✅	❌	✅	❌	✅	5
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?	❌	✅	✅	✅	❌	❌	✅	4
Does Representation Guarantee Welfare?	❌	❌	✅	❌	✅	❌	✅	3
Does Stochastic Gradient really succeed for bandits?	✅	❌	❌	❌	❌	❌	✅	2
Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models	❌	✅	✅	✅	✅	✅	✅	6
Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation	❌	✅	✅	✅	✅	❌	✅	5
Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations	❌	✅	✅	✅	✅	❌	✅	5
Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention	❌	✅	✅	✅	✅	✅	✅	6
Don't be lazy: CompleteP enables compute-efficient deep transformers	❌	✅	✅	✅	✅	❌	✅	5
Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models	✅	✅	✅	❌	✅	✅	✅	6
Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation	❌	❌	✅	✅	✅	❌	✅	4
Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models	✅	✅	✅	✅	✅	❌	✅	6
Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL	✅	❌	✅	❌	❌	❌	✅	3
Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition	✅	✅	✅	✅	✅	❌	✅	6
DoseSurv: Predicting Personalized Survival Outcomes under Continuous-Valued Treatments	❌	❌	✅	✅	✅	❌	✅	4
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity	❌	❌	✅	✅	❌	❌	✅	3
Doubly Robust Alignment for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings	✅	✅	✅	✅	✅	✅	✅	7
Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning	❌	✅	✅	✅	✅	✅	✅	6
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights	❌	✅	✅	✅	✅	❌	✅	5
DreamLight: Towards Harmonious and Consistent Image Relighting	❌	❌	✅	❌	✅	✅	✅	4
DreamPRM: Domain-reweighted Process Reward Model for Multimodal Reasoning	❌	✅	✅	✅	✅	❌	✅	5
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge	❌	✅	✅	✅	✅	❌	✅	5
DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving	❌	❌	✅	✅	✅	❌	✅	4
DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving	❌	❌	✅	✅	✅	❌	✅	4
DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference	❌	✅	✅	✅	✅	❌	✅	5
Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts	✅	✅	✅	✅	✅	❌	✅	6
Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable	❌	✅	✅	❌	✅	❌	✅	4
Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation	❌	✅	✅	❌	❌	❌	✅	3
Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy	❌	✅	✅	✅	✅	❌	✅	5
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-wild}$ Cascading Flow Optimization	✅	✅	✅	✅	✅	❌	✅	6
Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking	❌	✅	✅	✅	✅	❌	✅	5
Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT	❌	❌	❌	✅	✅	❌	✅	3
Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams	❌	❌	✅	✅	✅	✅	✅	5
Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning	✅	✅	✅	✅	✅	❌	✅	6
DualCnst: Enhancing Zero-Shot Out-of-Distribution Detection via Text-Image Consistency in Vision-Language Models	✅	✅	✅	✅	✅	✅	✅	7
DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules	❌	✅	✅	✅	✅	❌	✅	5
DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints	❌	❌	✅	✅	✅	❌	✅	4
DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding	❌	✅	✅	✅	❌	❌	✅	4
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers	✅	✅	✅	✅	✅	❌	✅	6
DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion	❌	✅	✅	✅	✅	✅	✅	6
DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs	✅	✅	✅	✅	✅	✅	✅	7
DyFlow: Dynamic Workflow Framework for Agentic Reasoning	✅	✅	✅	✅	✅	❌	✅	6
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs	✅	✅	✅	✅	✅	✅	✅	7
DyMU: Dynamic Merging and Virtual Unmerging for Efficient Variable-Length VLMs	❌	✅	✅	✅	❌	❌	✅	4
DyMoDreamer: World Modeling with Dynamic Modulation	❌	✅	✅	✅	✅	❌	✅	5
Dyn-O: Building Structured World Models with Object-Centric Representations	✅	✅	✅	❌	❌	❌	✅	4
DynaAct: Large Language Model Reasoning with Dynamic Action Spaces	✅	✅	✅	✅	✅	✅	✅	7
DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance	✅	✅	✅	✅	✅	❌	✅	6
DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation	❌	❌	✅	✅	❌	❌	✅	3
DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations	✅	✅	✅	✅	✅	❌	✅	6
DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism	❌	✅	✅	❌	✅	❌	✅	4
DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation	❌	❌	✅	✅	✅	❌	✅	4
Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation	❌	✅	✅	✅	✅	❌	✅	5
Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm	✅	❌	❌	❌	❌	❌	❌	1
Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs	✅	✅	✅	✅	✅	❌	✅	6
Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph	✅	✅	✅	✅	✅	✅	✅	7
Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond	✅	❌	❌	❌	❌	❌	❌	1
Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions	❌	✅	✅	✅	✅	❌	✅	5
Dynamic Focused Masking for Autoregressive Embodied Occupancy Prediction	❌	❌	✅	✅	✅	❌	✅	4
Dynamic Gaussian Splatting from Defocused and Motion-blurred Monocular Videos	❌	❌	✅	✅	✅	❌	✅	4
Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval	❌	✅	✅	✅	✅	✅	✅	6
Dynamic Regret Reduces to Kernelized Static Regret	✅	❌	❌	❌	❌	❌	❌	1
Dynamic Semantic-Aware Correlation Modeling for UAV Tracking	❌	✅	✅	✅	✅	❌	✅	5
Dynamic Shadow Unveils Invisible Semantics for Video Outpainting	❌	❌	✅	✅	✅	❌	✅	4
Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning	✅	✅	✅	❌	❌	❌	✅	4
Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy	❌	❌	✅	✅	✅	❌	✅	4
Dynamic View Synthesis as an Inverse Problem	✅	❌	✅	✅	✅	❌	✅	5
Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders	✅	✅	✅	✅	✅	❌	✅	6
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation	✅	✅	✅	✅	✅	❌	✅	6
DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling	❌	✅	✅	✅	✅	✅	✅	6
Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks	❌	❌	❌	❌	❌	❌	✅	1
Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks	✅	✅	✅	✅	✅	❌	✅	6
Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding	❌	✅	✅	✅	✅	❌	✅	5
Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference	❌	✅	✅	✅	✅	❌	✅	5
Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention	❌	✅	❌	❌	❌	❌	✅	2
Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization	✅	✅	✅	✅	✅	❌	✅	6
E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization	❌	❌	✅	❌	✅	❌	✅	3
E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis	✅	✅	✅	✅	✅	❌	✅	6
E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products	✅	✅	✅	✅	✅	❌	✅	6
EA3D: Online Open-World 3D Object Extraction from Streaming Videos	❌	✅	✅	✅	✅	❌	✅	5
EAG3R: Event-Augmented 3D Geometry Estimation for Dynamic and Extreme-Lighting Scenes	❌	✅	✅	✅	✅	❌	✅	5
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test	❌	✅	✅	✅	✅	✅	✅	6
EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification	✅	❌	✅	❌	✅	❌	✅	4
EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation	✅	✅	✅	✅	✅	✅	✅	7
ECO: Evolving Core Knowledge for Efficient Transfer	✅	❌	✅	✅	✅	❌	✅	5
EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling	✅	✅	✅	✅	✅	❌	✅	6
EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting	✅	❌	✅	✅	✅	❌	✅	5
EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis	✅	✅	✅	✅	✅	❌	✅	6
ELDET: Early-Learning Distillation with Noisy Labels for Object Detection	❌	❌	✅	✅	✅	❌	✅	4
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals	❌	✅	✅	✅	✅	❌	✅	5
EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction	✅	❌	✅	❌	❌	❌	✅	3
ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators	✅	❌	✅	✅	✅	❌	✅	5
EPA: Boosting Event-based Video Frame Interpolation with Perceptually Aligned Learning	❌	✅	✅	✅	❌	❌	✅	4
ESCA: Contextualizing Embodied Agents via Scene-Graph Generation	✅	✅	❌	✅	✅	❌	✅	5
ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality	❌	✅	✅	❌	✅	❌	✅	4
ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs	✅	✅	✅	❌	✅	❌	✅	5
EUGens: Efficient, Unified and General Dense Layers	❌	✅	✅	✅	✅	❌	✅	5
EVODiff: Entropy-aware Variance Optimized Diffusion Inference	✅	✅	✅	✅	✅	❌	✅	6
EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions	✅	✅	✅	❌	❌	❌	✅	4
Each Complexity Deserves a Pruning Policy	❌	✅	✅	❌	✅	❌	❌	3
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models	❌	❌	✅	✅	✅	❌	✅	4
EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization	✅	✅	✅	❌	✅	❌	✅	5
EchoShot: Multi-Shot Portrait Video Generation	❌	✅	❌	❌	✅	❌	✅	3
EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale	✅	✅	✅	✅	✅	❌	✅	6
Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations	✅	❌	✅	❌	✅	❌	✅	4
Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs	❌	✅	✅	✅	✅	❌	✅	5
EditInfinity: Image Editing with Binary-Quantized Generative Models	✅	✅	✅	✅	✅	❌	✅	6
Effective Neural Approximations for Geometric Optimization Problems	✅	✅	✅	✅	✅	❌	✅	6
Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives	✅	✅	❌	❌	❌	❌	✅	3
Effects of Dropout on Performance in Long-range Graph Learning Tasks	✅	✅	✅	✅	✅	✅	✅	7
Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio	✅	❌	❌	❌	❌	❌	❌	1
Efficient Adaptive Experimentation with Noncompliance	✅	✅	✅	✅	✅	❌	✅	6
Efficient Adaptive Federated Optimization	✅	✅	✅	✅	✅	❌	✅	6
Efficient Algorithms for Robust and Partial Semi-Discrete Optimal Transport	✅	✅	❌	❌	❌	❌	✅	3
Efficient Allocation of Working Memory Resource for Utility Maximization in Humans and Recurrent Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
Efficient Bayesian Experiment Design with Equivariant Networks	❌	❌	❌	✅	✅	❌	✅	3
Efficient Data Selection at Scale via Influence Distillation	❌	✅	✅	✅	✅	❌	✅	5
Efficient Fairness-Performance Pareto Front Computation	✅	✅	✅	❌	✅	❌	✅	5
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients	✅	❌	✅	✅	✅	✅	✅	6
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning	✅	❌	❌	❌	✅	❌	✅	3
Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games	✅	❌	❌	❌	❌	❌	❌	1
Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem	✅	❌	✅	✅	❌	❌	✅	4
Efficient Large Language Model Inference with Neural Block Linearization	✅	✅	✅	✅	✅	❌	✅	6
Efficient Last-Iterate Convergence in Solving Extensive-Form Games	✅	❌	✅	❌	✅	❌	✅	4
Efficient Low Rank Attention for Long-Context Inference in Large Language Models	✅	✅	✅	✅	✅	✅	✅	7
Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling	✅	✅	✅	✅	✅	❌	✅	6
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation	❌	❌	✅	✅	✅	❌	✅	4
Efficient Multimodal Dataset Distillation via Generative Models	❌	✅	✅	❌	✅	❌	✅	4
Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates	❌	❌	❌	❌	❌	❌	❌	0
Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems	✅	✅	✅	✅	✅	✅	✅	7
Efficient Part-level 3D Object Generation via Dual Volume Packing	✅	❌	✅	❌	✅	❌	✅	4
Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees	✅	✅	✅	❌	✅	❌	✅	5
Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs	✅	❌	❌	✅	✅	✅	✅	5
Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design	✅	✅	❌	❌	✅	❌	✅	4
Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference	✅	✅	✅	✅	✅	❌	✅	6
Efficient Quadratic Corrections for Frank-Wolfe Algorithms	✅	✅	✅	❌	✅	❌	✅	5
Efficient RAW Image Deblurring with Adaptive Frequency Modulation	❌	✅	✅	❌	✅	❌	✅	4
Efficient Randomized Experiments Using Foundation Models	✅	❌	✅	✅	❌	❌	✅	4
Efficient Rectified Flow for Image Fusion	❌	✅	✅	❌	✅	❌	✅	4
Efficient Representativeness-Aware Coreset Selection	✅	✅	✅	✅	✅	❌	✅	6
Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety	✅	✅	✅	✅	✅	❌	✅	6
Efficient Spectral Control of Partially Observed Linear Dynamical Systems	✅	❌	❌	❌	❌	❌	✅	2
Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space	❌	✅	✅	✅	❌	❌	✅	4
Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks	✅	✅	❌	✅	❌	❌	✅	4
Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving	✅	✅	✅	✅	✅	❌	✅	6
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery	✅	✅	✅	✅	✅	❌	✅	6
Efficient Verified Unlearning For Distillation	✅	✅	✅	✅	✅	❌	✅	6
Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy	❌	❌	✅	❌	✅	❌	✅	3
Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles	✅	❌	❌	❌	✅	❌	✅	3
Efficient semantic uncertainty quantification in language models via diversity-steered sampling	✅	✅	✅	✅	✅	❌	✅	6
EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval	❌	✅	✅	❌	✅	❌	❌	3
EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models	❌	✅	✅	❌	✅	❌	✅	4
Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity	✅	✅	❌	❌	✅	❌	✅	4
Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks	❌	✅	✅	✅	✅	✅	✅	6
Efficiently Scaling LLM Reasoning Programs with Certaindex	❌	✅	✅	❌	✅	✅	✅	5
Efficiently Verifiable Proofs of Data Attribution	✅	❌	❌	❌	❌	❌	❌	1
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data	✅	❌	❌	❌	✅	❌	✅	3
EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining	❌	✅	✅	✅	✅	❌	✅	5
EgoThinker: Unveiling Egocentric Reasoning with Spatio-Temporal CoT	❌	✅	✅	✅	✅	❌	✅	5
Elastic Robust Unlearning of Specific Knowledge in Large Language Models	❌	❌	✅	✅	✅	❌	✅	4
Elastic ViTs from Pretrained Models without Retraining	✅	✅	✅	✅	✅	❌	✅	6
ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism	❌	❌	✅	❌	✅	✅	✅	4
Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation	❌	❌	✅	✅	✅	❌	✅	4
Eliciting Reasoning in Language Models with Cognitive Tools	✅	❌	✅	❌	❌	❌	✅	3
ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets	❌	✅	✅	✅	❌	❌	✅	4
Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics	✅	✅	✅	✅	✅	❌	✅	6
Eluder dimension: localise it!	✅	❌	❌	❌	❌	❌	❌	1
Embedding Principle of Homogeneous Neural Network for Classification Problem	❌	✅	✅	❌	❌	❌	✅	3
Embeddings as Probabilistic Equivalence in Logic Programs	✅	✅	✅	✅	✅	❌	✅	6
Embodied Cognition Augmented End2End Autonomous Driving	❌	❌	✅	✅	✅	✅	✅	5
Embodied Crowd Counting	✅	✅	✅	❌	✅	❌	✅	5
Emergence and Evolution of Interpretable Concepts in Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
Emergence and scaling laws in SGD learning of shallow neural networks	❌	❌	❌	❌	❌	❌	✅	1
Emergence of Linear Truth Encodings in Language Models	❌	✅	✅	✅	✅	❌	✅	5
Emergent Risk Awareness in Rational Agents under Resource Constraints	❌	❌	❌	❌	❌	❌	✅	1
Emergent Temporal Correspondences from Video Diffusion Transformers	❌	✅	✅	✅	✅	❌	✅	5
Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding	❌	❌	✅	✅	✅	❌	✅	4
Empowering Decision Trees via Shape Function Branching	✅	✅	✅	✅	✅	❌	✅	6
EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths	✅	❌	✅	❌	✅	❌	✅	4
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping	✅	✅	✅	✅	✅	❌	✅	6
Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer	❌	❌	✅	❌	✅	❌	✅	3
Encoder-Decoder Diffusion Language Models for Efficient Training and Inference	✅	✅	✅	✅	✅	❌	✅	6
Encouraging metric-aware diversity in contrastive representation space	✅	✅	✅	✅	✅	✅	✅	7
End-to-End Low-Light Enhancement for Object Detection with Learned Metadata from RAWs	❌	✅	✅	✅	✅	❌	✅	5
End-to-End Vision Tokenizer Tuning	❌	❌	✅	✅	✅	❌	✅	4
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation	❌	❌	✅	✅	✅	❌	✅	4
Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States	✅	✅	✅	❌	✅	❌	✅	5
Energy Loss Functions for Physical Systems	❌	✅	✅	✅	✅	❌	✅	5
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling	✅	✅	✅	✅	✅	❌	✅	6
Energy-based generator matching: A neural sampler for general state space	✅	✅	✅	✅	✅	❌	✅	6
Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules	❌	✅	✅	❌	✅	❌	✅	4
Enforcing convex constraints in Graph Neural Networks	✅	❌	❌	❌	✅	❌	✅	3
Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models	✅	✅	✅	❌	✅	✅	✅	6
Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training	✅	✅	✅	✅	✅	❌	✅	6
Enhancing 3D Reconstruction for Dynamic Scenes	❌	❌	✅	❌	✅	❌	✅	3
Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets	❌	❌	✅	✅	✅	❌	✅	4
Enhancing CLIP Robustness via Cross-Modality Alignment	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions	❌	✅	✅	✅	✅	❌	✅	5
Enhancing Consistency of Flow-Based Image Editing through Kalman Control	✅	✅	✅	❌	✅	✅	✅	6
Enhancing Contrastive Learning with Variable Similarity	❌	❌	✅	✅	✅	❌	✅	4
Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment	✅	✅	✅	❌	✅	❌	✅	5
Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Graph Classification Robustness with Singular Pooling	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering	✅	✅	✅	✅	✅	❌	✅	6
Enhancing LLM Planning for Robotics Manipulation through Hierarchical Procedural Knowledge Graphs	✅	✅	✅	❌	✅	❌	✅	5
Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks	✅	❌	✅	✅	✅	❌	✅	5
Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward	❌	❌	✅	✅	❌	❌	✅	3
Enhancing Privacy in Multimodal Federated Learning with Information Theory	✅	❌	✅	❌	✅	❌	✅	4
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Tactile-based Reinforcement Learning for Robotic Control	❌	❌	✅	❌	✅	❌	✅	3
Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders	❌	✅	✅	✅	✅	❌	✅	5
Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning	❌	✅	✅	✅	✅	❌	✅	5
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective	❌	✅	✅	✅	✅	✅	✅	6
Enhancing Training Data Attribution with Representational Optimization	❌	✅	✅	✅	✅	❌	✅	5
Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation	❌	✅	✅	✅	✅	❌	✅	5
Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation	✅	❌	✅	❌	✅	❌	✅	4
Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting	❌	✅	✅	❌	❌	❌	✅	3
Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling	✅	✅	✅	❌	✅	❌	✅	5
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles	❌	❌	✅	✅	❌	❌	✅	3
Entropic Time Schedulers for Generative Diffusion Models	✅	✅	✅	❌	❌	❌	✅	4
Entropy Rectifying Guidance for Diffusion and Flow Models	✅	✅	✅	✅	❌	❌	✅	5
Entropy-Calibrated Label Distribution Learning	❌	❌	✅	✅	❌	❌	✅	3
Environment Inference for Learning Generalizable Dynamical System	✅	✅	✅	✅	✅	❌	❌	5
EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation	✅	✅	✅	✅	✅	❌	✅	6
Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators	✅	✅	✅	✅	✅	❌	✅	6
Epistemic Uncertainty for Generated Image Detection	❌	✅	✅	❌	✅	✅	✅	5
Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models	❌	✅	✅	✅	✅	❌	✅	5
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network	❌	✅	✅	✅	✅	❌	✅	5
Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games	✅	✅	✅	✅	✅	❌	✅	6
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions	❌	✅	✅	✅	✅	❌	✅	5
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces	✅	✅	✅	✅	✅	❌	✅	6
EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment	✅	✅	✅	❌	✅	❌	✅	5
Erasing Conceptual Knowledge from Language Models	❌	✅	✅	❌	❌	❌	✅	3
Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism	✅	✅	✅	✅	✅	❌	✅	6
Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum	✅	✅	✅	✅	❌	❌	✅	5
Error Forcing in Recurrent Neural Networks	❌	✅	❌	❌	✅	❌	✅	3
ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space	❌	✅	✅	✅	✅	❌	✅	5
Escaping Collapse: The Strength of Weak Data for Large Language Model Training	✅	❌	✅	❌	❌	❌	✅	3
Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning	✅	✅	❌	❌	❌	❌	✅	3
Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses	✅	❌	✅	✅	✅	❌	✅	5
Estimating Hitting Times Locally at Scale	✅	✅	✅	❌	✅	✅	✅	6
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning	❌	✅	✅	✅	✅	❌	✅	5
Estimating Model Performance Under Covariate Shift Without Labels	❌	✅	✅	✅	✅	❌	✅	5
Estimating cognitive biases with attention-aware inverse planning	✅	✅	✅	❌	✅	❌	✅	5
Estimation of Stochastic Optimal Transport Maps	✅	✅	✅	❌	✅	❌	✅	5
Estimation of Treatment Effects in Extreme and Unobserved Data	✅	❌	✅	✅	❌	❌	✅	4
Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting	❌	✅	✅	✅	✅	❌	✅	5
EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving	❌	✅	✅	✅	❌	❌	✅	4
Evaluating LLM-contaminated Crowdsourcing Data Without Ground Truth	✅	✅	✅	✅	✅	✅	✅	7
Evaluating LLMs in Open-Source Games	❌	✅	✅	❌	❌	❌	✅	3
Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations	❌	✅	✅	❌	✅	❌	✅	4
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death	✅	✅	✅	✅	✅	✅	✅	7
Evaluating multiple models using labeled and unlabeled data	✅	✅	✅	✅	✅	❌	✅	6
Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps	❌	✅	✅	❌	❌	❌	✅	3
Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian Splatting	❌	❌	✅	✅	❌	❌	✅	3
Event-Driven Dynamic Scene Depth Completion	❌	❌	✅	✅	✅	❌	✅	4
Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline	❌	✅	✅	❌	✅	❌	✅	4
Event-based HDR Structured Light	❌	✅	✅	✅	✅	❌	✅	5
EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event Representation	❌	❌	✅	❌	✅	❌	✅	3
Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling	✅	✅	✅	❌	✅	❌	✅	5
EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation	✅	❌	✅	❌	❌	❌	✅	3
EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks	❌	✅	✅	✅	✅	❌	✅	5
EvoLM: In Search of Lost Training Dynamics for Language Model Reasoning	❌	✅	✅	✅	✅	❌	✅	5
Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits	✅	❌	❌	❌	❌	❌	❌	1
Evolutionary Prediction Games	❌	✅	✅	✅	✅	❌	✅	5
Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models	❌	✅	✅	✅	✅	❌	✅	5
EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution	✅	✅	✅	❌	✅	❌	✅	5
Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning	❌	✅	✅	✅	✅	❌	✅	5
ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models	❌	❌	✅	✅	✅	❌	✅	4
ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Exact Expressive Power of Transformers with Padding	❌	❌	❌	❌	❌	❌	❌	0
Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable	✅	✅	✅	❌	❌	❌	✅	4
Execution Guided Line-by-Line Code Generation	✅	✅	✅	✅	✅	❌	✅	6
Explainable Reinforcement Learning from Human Feedback to Improve Alignment	✅	✅	✅	✅	✅	❌	✅	6
Explainably Safe Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions	❌	✅	✅	✅	✅	❌	✅	5
Explaining and Mitigating Crosslingual Tokenizer Inequities	❌	✅	✅	❌	✅	✅	✅	5
Explaining the Law of Supply and Demand via Online Learning	✅	✅	❌	❌	✅	❌	✅	4
Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness	❌	✅	✅	✅	✅	✅	✅	6
Exploiting Dynamic Sparsity in Einsum	❌	✅	✅	❌	✅	❌	✅	4
Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior	✅	✅	✅	✅	❌	✅	✅	6
Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings	✅	✅	✅	✅	✅	❌	✅	6
Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training	❌	✅	✅	✅	❌	❌	✅	4
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere	❌	✅	✅	✅	✅	❌	✅	5
Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL	✅	❌	✅	❌	❌	❌	✅	3
Exploration via Feature Perturbation in Contextual Bandits	✅	✅	✅	✅	✅	❌	✅	6
Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game	✅	✅	✅	✅	✅	❌	✅	6
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback	❌	❌	❌	❌	❌	❌	✅	1
Exploring Diffusion Transformer Designs via Grafting	❌	✅	✅	✅	✅	❌	✅	5
Exploring Landscapes for Better Minima along Valleys	✅	✅	✅	✅	✅	❌	✅	6
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data	✅	✅	✅	❌	✅	❌	✅	5
Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining	✅	❌	✅	✅	✅	❌	✅	5
Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction	✅	❌	✅	❌	✅	❌	✅	4
Exploring Structural Degradation in Dense Representations for Self-supervised Learning	✅	✅	✅	✅	✅	❌	✅	6
Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning	❌	✅	✅	✅	✅	❌	✅	5
Exploring and Exploiting Model Uncertainty in Bayesian Optimization	✅	✅	✅	✅	❌	❌	✅	5
Exploring and Leveraging Class Vectors for Classifier Editing	✅	❌	✅	✅	✅	❌	✅	5
Exploring the Design Space of Diffusion Bridge Models	✅	✅	✅	❌	✅	❌	✅	5
Exploring the Limits of Vision-Language-Action Manipulation in Cross-task Generalization	❌	❌	✅	✅	✅	✅	✅	5
Exploring the Noise Robustness of Online Conformal Prediction	✅	✅	✅	✅	❌	❌	✅	5
Exploring the Translation Mechanism of Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Exploring the limits of strong membership inference attacks on large language models	❌	❌	✅	✅	❌	✅	✅	4
Exponential Convergence Guarantees for Iterative Markovian Fitting	✅	❌	❌	❌	❌	❌	❌	1
Exponential Dynamic Energy Network for High Capacity Sequence Memory	❌	✅	✅	❌	❌	❌	✅	3
Extracting task-relevant preserved dynamics from contrastive aligned neural recordings	❌	✅	✅	✅	✅	✅	✅	6
Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems	❌	✅	❌	❌	✅	❌	✅	3
Extrapolation by Association: Length Generalization Transfer In Transformers	❌	✅	❌	✅	✅	❌	✅	4
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation	✅	✅	✅	✅	❌	❌	✅	5
Eyes Wide Open: Ego Proactive Video-LLM for Streaming Video	❌	❌	✅	✅	✅	❌	✅	4
F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning	✅	❌	✅	✅	✅	❌	✅	5
FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens	❌	✅	✅	✅	✅	❌	✅	5
FACE: Faithful Automatic Concept Extraction	❌	✅	✅	✅	✅	❌	✅	5
FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training	❌	❌	✅	❌	✅	❌	✅	3
FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation	✅	✅	✅	✅	✅	❌	✅	6
FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design	❌	✅	✅	✅	✅	❌	✅	5
FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model	❌	✅	✅	✅	❌	❌	✅	4
FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic	✅	✅	✅	✅	✅	✅	✅	7
FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression	❌	❌	✅	✅	✅	❌	✅	4
FAN: Fourier Analysis Networks	❌	✅	✅	✅	✅	❌	✅	5
FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
FAPEX: Fractional Amplitude-Phase Expressor for Robust Cross-Subject Seizure Prediction	❌	❌	✅	✅	❌	❌	❌	2
FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis	✅	✅	✅	✅	✅	❌	✅	6
FEAT: Free energy Estimators with Adaptive Transport	✅	✅	❌	❌	✅	✅	✅	5
FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback	❌	✅	✅	✅	✅	❌	✅	5
FFN Fusion: Rethinking Sequential Computation in Large Language Models	❌	❌	✅	❌	✅	❌	✅	3
FHGS: Feature-Homogenized Gaussian Splatting	✅	✅	✅	❌	✅	❌	✅	5
FIGRDock: Fast Interaction-Guided Regression for Flexible Docking	❌	✅	✅	✅	✅	❌	✅	5
FIPER: Factorized Features for Robust Image Super-Resolution and Compression	❌	✅	✅	✅	✅	❌	✅	5
FLAME: Fast Long-context Adaptive Memory for Event-based Vision	✅	✅	✅	❌	✅	❌	❌	4
FLOWING: Implicit Neural Flows for Structure-Preserving Morphing	❌	✅	✅	❌	✅	❌	✅	4
FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts	✅	✅	✅	✅	✅	✅	✅	7
FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators	❌	✅	✅	✅	✅	❌	✅	5
FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering	✅	❌	✅	❌	✅	✅	✅	5
FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation	❌	✅	✅	✅	✅	❌	✅	5
FORLA: Federated Object-Centric Representation Learning with Slot Attention	✅	✅	✅	✅	✅	❌	✅	6
FP4 All the Way: Fully Quantized Training of Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks	❌	✅	✅	❌	✅	✅	✅	5
FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion	✅	❌	✅	❌	✅	❌	✅	4
FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing	✅	✅	✅	✅	✅	❌	✅	6
FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network	❌	✅	✅	✅	✅	❌	✅	5
FRN: Fractal-Based Recursive Spectral Reconstruction Network	❌	✅	✅	✅	✅	❌	✅	5
FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization	✅	✅	✅	✅	❌	❌	✅	5
FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing	✅	✅	✅	❌	✅	❌	✅	5
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees	✅	✅	✅	✅	✅	❌	✅	6
FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities	❌	❌	✅	❌	❌	❌	✅	2
FaCT: Faithful Concept Traces for Explaining Neural Network Decisions	❌	✅	✅	✅	❌	❌	✅	4
Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning	✅	✅	✅	✅	✅	❌	✅	6
Factor Decorrelation Enhanced Data Removal from Deep Predictive Models	✅	✅	✅	✅	✅	❌	✅	6
Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation	✅	✅	✅	✅	✅	✅	✅	7
Failure Prediction at Runtime for Generative Robot Policies	❌	✅	✅	✅	✅	❌	✅	5
Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones	✅	✅	✅	✅	✅	❌	✅	6
Fair Continuous Resource Allocation with Equality of Impact	✅	❌	❌	❌	✅	✅	✅	4
Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment	✅	✅	✅	❌	✅	❌	✅	5
Fair Deepfake Detectors Can Generalize	✅	✅	✅	✅	✅	❌	✅	6
Fair Matroid Selection	✅	❌	❌	❌	❌	❌	❌	1
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity	✅	✅	✅	❌	✅	✅	✅	6
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference	❌	✅	✅	✅	✅	❌	✅	5
FairDD: Fair Dataset Distillation	❌	✅	✅	✅	✅	✅	✅	6
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models	❌	✅	✅	✅	✅	❌	✅	5
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA	❌	✅	✅	✅	✅	❌	✅	5
Fairness under Competition	❌	✅	✅	❌	❌	❌	❌	2
Fairness-Regularized Online Optimization with Switching Costs	✅	❌	✅	✅	✅	❌	✅	5
Fairness-aware Anomaly Detection via Fair Projection	❌	✅	✅	✅	✅	✅	✅	6
Fairness-aware Bayes Optimal Functional Classification	✅	✅	✅	✅	✅	✅	✅	7
Fairshare Data Pricing via Data Valuation for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Faithful Dynamic Imitation Learning from Human Intervention with Dynamic Regret Minimization	✅	✅	✅	✅	✅	❌	❌	5
Faithful Group Shapley Value	✅	✅	✅	✅	✅	❌	✅	6
Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models	❌	❌	✅	✅	✅	❌	✅	4
Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement	✅	❌	✅	✅	✅	❌	✅	5
Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model	✅	✅	✅	❌	✅	❌	✅	5
Fast Data Attribution for Text-to-Image Models	❌	✅	✅	✅	✅	❌	✅	5
Fast Inference for Augmented Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime	✅	❌	❌	❌	❌	❌	❌	1
Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies	✅	❌	✅	❌	✅	❌	✅	4
Fast MRI for All: Bridging Access Gaps by Training without Raw Data	❌	✅	✅	✅	✅	❌	✅	5
Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning	✅	✅	✅	✅	✅	❌	✅	6
Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing	✅	✅	✅	❌	✅	❌	✅	5
Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set	✅	❌	❌	❌	✅	❌	✅	3
Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes	❌	✅	✅	✅	❌	❌	✅	4
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms	✅	✅	✅	✅	✅	❌	✅	6
Fast Training of Large Kernel Models with Delayed Projections	✅	✅	✅	✅	✅	❌	✅	6
Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods	✅	❌	❌	❌	❌	❌	❌	1
Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning	✅	✅	✅	✅	✅	❌	✅	6
Fast attention mechanisms: a tale of parallelism	✅	❌	✅	✅	✅	❌	✅	5
Fast constrained sampling in pre-trained diffusion models	✅	✅	✅	✅	✅	❌	✅	6
Fast exact recovery of noisy matrix from few entries: the infinity norm approach	✅	❌	✅	❌	❌	✅	✅	4
Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning	✅	✅	✅	✅	✅	❌	✅	6
Fast-in-Slow: A Dual-System VLA Model Unifying Fast Manipulation within Slow Reasoning	❌	✅	✅	✅	✅	❌	✅	5
FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed	❌	✅	✅	✅	✅	❌	✅	5
FastJAM: a Fast Joint Alignment Model for Images	❌	✅	✅	✅	✅	❌	✅	5
FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing	❌	✅	✅	✅	✅	❌	✅	5
FastVID: Dynamic Density Pruning for Fast Video Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Faster Algorithms for Structured John Ellipsoid Computation	✅	❌	❌	❌	❌	❌	❌	1
Faster Fixed-Point Methods for Multichain MDPs	✅	✅	❌	❌	✅	❌	✅	4
Faster Generic Identification in Tree-Shaped Structural Causal Models	✅	✅	✅	❌	✅	✅	✅	6
Faster Video Diffusion with Trainable Sparse Attention	✅	✅	✅	❌	✅	❌	✅	5
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints	❌	✅	✅	✅	✅	❌	✅	5
Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning	✅	❌	✅	✅	❌	❌	✅	4
Feature Unlearning: Theoretical Foundations and Practical Applications with Shuffling	✅	✅	✅	✅	✅	✅	✅	7
Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World	✅	✅	✅	✅	✅	✅	✅	7
Feature-aware Modulation for Learning from Temporal Tabular Data	❌	✅	✅	✅	✅	✅	✅	6
FedEL: Federated Elastic Learning for Heterogeneous Devices	✅	❌	✅	❌	✅	❌	✅	4
FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning	✅	✅	✅	❌	✅	✅	✅	6
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning	✅	✅	✅	✅	❌	❌	✅	5
FedIGL: Federated Invariant Graph Learning for Non-IID Graphs	✅	✅	✅	✅	✅	❌	✅	6
FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery	✅	✅	✅	✅	✅	❌	✅	6
FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts	✅	❌	✅	✅	✅	❌	✅	5
FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning	❌	✅	✅	✅	✅	✅	✅	6
FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning	✅	❌	✅	✅	✅	❌	✅	5
FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning	✅	✅	✅	❌	✅	❌	✅	5
FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling	✅	✅	✅	✅	✅	❌	✅	6
FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models	✅	❌	✅	✅	✅	❌	✅	5
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA	✅	✅	✅	✅	✅	❌	✅	6
FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization	✅	✅	✅	✅	✅	❌	✅	6
Federated Continual Learning via Orchestrating Multi-Scale Expertise	✅	✅	✅	✅	❌	❌	✅	5
Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities	✅	✅	✅	✅	✅	❌	✅	6
Federated Multi-armed Bandits with Efficient Bit-Level Communications	✅	✅	❌	❌	❌	❌	✅	3
Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos	❌	❌	✅	✅	✅	❌	✅	4
Feedback Guidance of Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Feedback-Aware MCTS for Goal-Oriented Information Seeking	✅	✅	✅	❌	✅	❌	✅	5
FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies	✅	✅	✅	✅	✅	❌	✅	6
Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations	✅	✅	✅	✅	✅	❌	✅	6
Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling	✅	✅	✅	✅	✅	❌	✅	6
Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining	✅	✅	✅	✅	✅	❌	✅	6
Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation	❌	❌	✅	✅	✅	❌	✅	4
Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods	❌	✅	✅	✅	✅	❌	✅	5
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization	❌	❌	✅	✅	✅	❌	✅	4
Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW	✅	✅	✅	✅	✅	❌	✅	6
Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms	❌	✅	✅	✅	✅	❌	✅	5
Finding separatrices of dynamical flows with Deep Koopman Eigenfunctions	✅	✅	✅	❌	✅	❌	✅	5
Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs	❌	❌	✅	❌	✅	❌	✅	3
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods	✅	✅	✅	✅	✅	❌	✅	6
Fine-grained List-wise Alignment for Generative Medication Recommendation	❌	✅	✅	✅	✅	✅	✅	6
FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning	❌	❌	✅	✅	✅	✅	✅	5
Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control	✅	❌	❌	❌	❌	❌	✅	2
Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features	❌	✅	✅	❌	✅	❌	✅	4
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds	✅	✅	❌	❌	❌	❌	✅	3
Finite-Time Bounds for Average-Reward Fitted Q-Iteration	✅	❌	❌	❌	❌	❌	❌	1
Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?	✅	✅	✅	❌	✅	❌	✅	5
First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training	❌	✅	✅	❌	✅	✅	✅	5
First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training	✅	✅	✅	✅	✅	❌	✅	6
Fisher meets Feynman: score-based variational inference with a product of experts	✅	❌	✅	❌	✅	❌	✅	4
Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
Fix False Transparency by Noise Guided Splatting	✅	❌	✅	✅	✅	❌	✅	5
Fixed-Point RNNs: Interpolating from Diagonal to Dense	❌	✅	✅	✅	✅	❌	✅	5
Flash Invariant Point Attention	✅	✅	✅	❌	✅	❌	✅	5
FlashBias: Fast Computation of Attention with Bias	❌	✅	✅	✅	✅	✅	✅	6
FlashMD: long-stride, universal prediction of molecular dynamics	❌	✅	✅	✅	✅	✅	✅	6
FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation	❌	❌	✅	❌	✅	❌	✅	3
FlashMoE: Fast Distributed MoE in a Single Kernel	✅	✅	❌	❌	✅	✅	✅	5
Flat Channels to Infinity in Neural Loss Landscapes	❌	✅	❌	❌	✅	❌	✅	3
Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking	❌	✅	✅	✅	✅	✅	✅	6
Flatten Graphs as Sequences: Transformers are Scalable Graph Generators	✅	✅	✅	✅	✅	❌	✅	6
Flattening Hierarchies with Policy Bootstrapping	✅	✅	✅	❌	✅	❌	✅	5
Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators	❌	✅	✅	✅	✅	❌	✅	5
FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies	❌	✅	✅	✅	✅	❌	✅	5
FlexOLMo: Open Language Models for Flexible Data Use	❌	✅	✅	✅	✅	❌	✅	5
FlexSelect: Flexible Token Selection for Efficient Long Video Understanding	❌	✅	✅	✅	✅	❌	✅	5
FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction	❌	✅	✅	✅	✅	❌	✅	5
FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration	❌	✅	✅	✅	✅	✅	✅	6
Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows	✅	❌	✅	✅	❌	❌	✅	4
Flexible MOF Generation with Torsion-Aware Flow Matching	✅	✅	✅	✅	✅	❌	✅	6
Flexible Realignment of Language Models	❌	✅	✅	❌	❌	❌	✅	3
Flexible inference for animal learning rules using neural networks	✅	✅	✅	✅	✅	✅	✅	7
Flick: Empowering Federated Learning with Commonsense Knowledge	✅	✅	✅	✅	✅	❌	✅	6
Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning	✅	❌	✅	❌	✅	❌	✅	4
Flow Equivariant Recurrent Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Flow Field Reconstruction with Sensor Placement Policy Learning	✅	✅	✅	✅	✅	❌	✅	6
Flow Matching Neural Processes	✅	✅	✅	✅	✅	❌	✅	6
Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling	❌	✅	✅	✅	✅	❌	✅	5
Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises	❌	✅	✅	✅	✅	❌	✅	5
Flow-Based Policy for Online Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Flow-GRPO: Training Flow Matching Models via Online RL	❌	✅	✅	✅	✅	❌	✅	5
FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models	✅	✅	✅	✅	✅	❌	✅	6
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation	✅	✅	✅	✅	✅	❌	✅	6
FlowFeat: Pixel-Dense Embedding of Motion Profiles	✅	✅	✅	✅	✅	❌	✅	6
FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting	❌	✅	✅	✅	✅	✅	✅	6
FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation	✅	✅	✅	❌	✅	❌	✅	5
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training	✅	✅	✅	❌	✅	❌	✅	5
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation	❌	✅	✅	✅	✅	❌	✅	5
FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network	❌	✅	✅	❌	✅	❌	✅	4
FlowRefiner: A Robust Traffic Classification Framework against Label Noise	❌	✅	✅	✅	✅	✅	✅	6
Flux4D: Flow-based Unsupervised 4D Reconstruction	❌	❌	✅	✅	✅	❌	✅	4
FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts	❌	✅	✅	✅	✅	✅	✅	6
FoGE: Fock Space inspired encoding for graph prompting	❌	✅	✅	✅	❌	❌	✅	4
FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks	❌	✅	✅	✅	✅	❌	✅	5
Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments	✅	✅	✅	❌	✅	❌	✅	5
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models	✅	✅	✅	❌	✅	❌	✅	5
Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems	✅	✅	❌	❌	✅	❌	✅	4
For Better or for Worse, Transformers Seek Patterns for Memorization	❌	✅	✅	✅	✅	❌	✅	5
Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals	❌	✅	✅	❌	✅	✅	✅	5
ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching	✅	✅	✅	✅	✅	❌	✅	6
ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation	❌	❌	❌	❌	✅	❌	✅	2
Forecasting in Offline Reinforcement Learning for Non-stationary Environments	✅	❌	✅	✅	❌	❌	✅	4
Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation	✅	✅	✅	✅	✅	❌	✅	6
ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection	❌	✅	✅	✅	✅	❌	✅	5
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation	❌	✅	✅	✅	✅	❌	✅	5
Formal Models of Active Learning from Contrastive Examples	❌	❌	❌	❌	❌	❌	❌	0
Fortifying Time Series: DTW-Certified Robust Anomaly Detection	❌	✅	✅	✅	✅	❌	✅	5
Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge	❌	✅	✅	❌	✅	❌	✅	4
Foundations of Top-$k$ Decoding for Language Models	✅	✅	✅	✅	✅	✅	✅	7
Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning	✅	❌	✅	✅	✅	❌	✅	5
Fourier Token Merging: Understanding and Capitalizing Frequency Domain for Efficient Image Generation	❌	✅	✅	❌	✅	❌	✅	4
FraPPE: Fast and Efficient Preference-Based Pure Exploration	✅	✅	✅	❌	✅	❌	✅	5
FracFace: Breaking the Visual Clues—Fractal-Based Privacy-Preserving Face Recognition	✅	✅	✅	✅	✅	❌	✅	6
Fractional Diffusion Bridge Models	❌	✅	✅	✅	✅	❌	✅	5
Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape	✅	✅	✅	✅	✅	❌	✅	6
Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Frame In-N-Out: Unbounded Controllable Image-to-Video Generation	❌	✅	✅	✅	✅	✅	✅	6
FrameShield: Adversarially Robust Video Anomaly Detection	✅	✅	✅	✅	✅	❌	✅	6
Free-Lunch Color-Texture Disentanglement for Stylized Image Generation	❌	✅	✅	✅	✅	❌	✅	5
FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction	❌	❌	✅	✅	✅	❌	✅	4
FreeInv: Free Lunch for Improving DDIM Inversion	❌	✅	✅	❌	❌	✅	✅	4
FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance	✅	✅	✅	✅	✅	❌	✅	6
FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency	❌	❌	✅	❌	✅	❌	✅	3
FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens	✅	✅	✅	❌	✅	❌	✅	5
Frequency-Aware Token Reduction for Efficient Vision Transformer	❌	✅	✅	✅	✅	❌	✅	5
From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications	✅	❌	❌	❌	❌	❌	❌	1
From Black-box to Causal-box: Towards Building More Interpretable Models	❌	❌	✅	❌	✅	❌	✅	3
From Bytes to Ideas: Language Modeling with Autoregressive U-Nets	❌	✅	✅	❌	✅	❌	✅	4
From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics	❌	✅	✅	❌	✅	❌	✅	4
From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards	✅	❌	❌	❌	❌	❌	❌	1
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks	✅	✅	✅	✅	✅	❌	✅	6
From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging	✅	✅	✅	✅	✅	❌	✅	6
From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization	❌	✅	✅	✅	✅	❌	✅	5
From Euler to AI: Unifying Formulas for Mathematical Constants	✅	✅	✅	❌	✅	❌	✅	5
From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots	❌	❌	✅	❌	✅	❌	✅	3
From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures	❌	✅	✅	✅	✅	✅	✅	6
From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit	✅	✅	✅	✅	❌	❌	✅	5
From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction	❌	✅	✅	✅	✅	❌	✅	5
From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging	❌	❌	✅	❌	✅	❌	✅	3
From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs	❌	✅	✅	✅	✅	❌	✅	5
From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD	✅	✅	❌	❌	❌	❌	✅	3
From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring	❌	✅	✅	✅	✅	❌	✅	5
From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs	❌	✅	✅	✅	✅	❌	✅	5
From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models	✅	✅	✅	✅	✅	❌	✅	6
From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning	❌	❌	✅	✅	✅	❌	✅	4
From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers	❌	✅	✅	✅	✅	❌	✅	5
From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy	❌	✅	✅	✅	✅	❌	✅	5
From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography	❌	✅	✅	✅	✅	❌	✅	5
From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models	❌	✅	✅	✅	✅	❌	✅	5
From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries	❌	✅	✅	✅	✅	❌	✅	5
From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review	❌	❌	✅	✅	✅	✅	✅	5
From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
From Sequence to Structure: Uncovering Substructure Reasoning in Transformers	❌	✅	✅	✅	✅	✅	✅	6
From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers	✅	❌	❌	✅	❌	❌	✅	3
From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps	❌	✅	✅	✅	✅	❌	✅	5
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes	✅	❌	✅	✅	✅	❌	✅	5
From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning	❌	✅	✅	✅	❌	❌	✅	4
From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit	❌	✅	✅	❌	✅	❌	✅	4
From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling	✅	✅	✅	❌	✅	❌	✅	5
Fréchet Geodesic Boosting	✅	✅	✅	✅	✅	❌	✅	6
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution	❌	❌	✅	✅	✅	❌	✅	4
Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle Avoidance	❌	❌	✅	❌	✅	❌	✅	3
Fully Dynamic Algorithms for Chamfer Distance	✅	✅	✅	✅	✅	✅	✅	7
Fully Spiking Neural Networks for Unified Frame-Event Object Tracking	❌	✅	✅	✅	✅	✅	✅	6
FuncGenFoil: Airfoil Generation and Editing Model in Function Space	✅	✅	✅	❌	✅	❌	✅	5
Functional Complexity-adaptive Temporal Tensor Decomposition	✅	✅	✅	✅	✅	❌	✅	6
Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism	✅	✅	✅	✅	✅	❌	✅	6
Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules	❌	❌	❌	❌	❌	❌	✅	1
Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification	✅	✅	✅	✅	✅	❌	✅	6
Functional data analysis for multivariate distributions through Wasserstein slicing	❌	✅	✅	❌	✅	✅	✅	5
Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs	❌	❌	✅	✅	❌	❌	✅	3
Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching	❌	✅	✅	✅	✅	❌	✅	5
Fused View-Time Attention and Feedforward Reconstruction for 4D Scene Generation	❌	❌	✅	✅	✅	❌	✅	4
Future Link Prediction Without Memory or Aggregation	❌	✅	✅	✅	✅	❌	✅	5
Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution	❌	✅	✅	✅	✅	❌	✅	5
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving	❌	✅	✅	✅	✅	❌	✅	5
Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty	✅	✅	✅	❌	❌	❌	✅	4
G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems	❌	✅	✅	❌	❌	❌	✅	3
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning	❌	❌	✅	✅	✅	❌	✅	4
GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs	✅	✅	✅	✅	✅	✅	✅	7
GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs	✅	✅	✅	✅	✅	❌	✅	6
GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy	✅	❌	✅	✅	✅	✅	✅	6
GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images	❌	✅	✅	✅	✅	❌	✅	5
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation	❌	✅	✅	✅	✅	❌	✅	5
GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility	✅	❌	✅	✅	❌	❌	✅	4
GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design	✅	✅	✅	❌	✅	❌	✅	5
GLNCD: Graph-Level Novel Category Discovery	✅	❌	✅	✅	✅	✅	✅	6
GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity	❌	✅	✅	✅	✅	✅	✅	6
GLVD: Guided Learned Vertex Descent	❌	❌	✅	❌	✅	❌	✅	3
GMM-based VAE model with Normalising Flow for effective stochastic segmentation	❌	❌	✅	✅	✅	✅	✅	5
GMV: A Unified and Efficient Graph Multi-View Learning Framework	✅	✅	✅	✅	✅	❌	✅	6
GOATex: Geometry & Occlusion-Aware Texturing	❌	❌	✅	❌	✅	❌	✅	3
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection	✅	❌	✅	✅	❌	✅	✅	5
GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling	❌	✅	✅	❌	✅	❌	✅	4
GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers	❌	✅	✅	✅	✅	❌	✅	5
GPO: Learning from Critical Steps to Improve LLM Reasoning	✅	✅	✅	✅	✅	❌	✅	6
GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation	✅	✅	✅	✅	✅	❌	✅	6
GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining	✅	✅	✅	✅	✅	❌	✅	6
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning	✅	✅	✅	✅	✅	✅	✅	7
GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains	❌	✅	✅	✅	✅	❌	✅	5
GRIFFIN: Effective Token Alignment for Faster Speculative Decoding	❌	✅	✅	❌	✅	❌	✅	4
GRIP: A Graph-Based Reasoning Instruction Producer	❌	❌	❌	❌	✅	❌	✅	2
GRIT: Teaching MLLMs to Think with Images	❌	❌	✅	✅	✅	❌	✅	4
GSAlign: Geometric and Semantic Alignment Network for Aerial-Ground Person Re-Identification	❌	✅	✅	✅	❌	❌	✅	4
GSPN-2: Efficient Parallel Sequence Modeling	❌	❌	✅	✅	✅	❌	✅	4
GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis	✅	✅	✅	✅	✅	❌	✅	6
GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding	✅	✅	✅	✅	✅	✅	✅	7
GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization	❌	✅	✅	✅	✅	❌	✅	5
GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling	❌	✅	✅	❌	❌	❌	✅	3
GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents	✅	❌	✅	❌	❌	❌	✅	3
GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents	❌	✅	✅	❌	✅	❌	✅	4
GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior	❌	❌	✅	✅	✅	❌	✅	4
GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation	❌	✅	✅	✅	❌	❌	❌	3
GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection	❌	✅	✅	✅	❌	❌	✅	4
GVPO: Group Variance Policy Optimization for Large Language Model Post-Training	✅	✅	✅	❌	✅	❌	✅	5
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation	❌	❌	✅	❌	✅	❌	✅	3
Gains: Fine-grained Federated Domain Adaptation in Open Set	✅	✅	✅	✅	✅	❌	✅	6
Gate to the Vessel: Residual Experts Restore What SAM Overlooks	❌	❌	✅	✅	✅	❌	✅	4
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free	❌	✅	✅	❌	❌	❌	✅	3
Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models	✅	✅	✅	✅	✅	✅	✅	7
Gatekeeper: Improving Model Cascades Through Confidence Tuning	❌	❌	✅	✅	❌	❌	✅	3
GauDP: Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies	❌	✅	✅	✅	✅	❌	✅	5
GauSAM: Contour‑Guided 2D Gaussian Fields for Multi‑Scale Medical Image Segmentation with Segment Anything	❌	✅	✅	✅	✅	❌	✅	5
Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent	❌	✅	❌	❌	✅	✅	✅	4
Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS	✅	✅	✅	✅	✅	❌	✅	6
Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits	✅	❌	❌	❌	❌	❌	✅	2
Gaussian Processes for Shuffled Regression	✅	❌	✅	✅	✅	❌	✅	5
Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization	✅	✅	✅	❌	✅	✅	✅	6
Gaussian-Augmented Physics Simulation and System Identification with Complex Colliders	❌	✅	❌	❌	✅	❌	✅	3
GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving	❌	✅	✅	✅	✅	❌	✅	5
Gaze Beyond the Frame: Forecasting Egocentric 3D Visual Span	❌	✅	✅	✅	✅	✅	✅	6
Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding	✅	✅	✅	✅	✅	❌	✅	6
GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion	❌	✅	✅	✅	✅	❌	✅	5
GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals	✅	❌	❌	✅	✅	❌	✅	4
Gemstones: A Model Suite for Multi-Faceted Scaling Laws	❌	✅	✅	❌	✅	❌	✅	4
GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation	❌	✅	✅	❌	✅	❌	✅	4
GenIR: Generative Visual Feedback for Mental Image Retrieval	✅	✅	✅	✅	✅	❌	✅	6
GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders	✅	❌	✅	❌	✅	❌	✅	4
GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow	✅	✅	✅	✅	✅	❌	✅	6
GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data	❌	✅	✅	❌	✅	❌	✅	4
General-Reasoner: Advancing LLM Reasoning Across All Domains	❌	❌	✅	✅	✅	✅	✅	5
Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training	✅	✅	✅	✅	❌	❌	✅	5
Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians	❌	✅	✅	✅	✅	❌	✅	5
Generalizable Insights for Graph Transformers in Theory and Practice	❌	✅	✅	❌	✅	❌	✅	4
Generalizable Reasoning through Compositional Energy Minimization	✅	✅	✅	✅	✅	❌	✅	6
Generalizable, real-time neural decoding with hybrid state-space models	❌	✅	✅	✅	✅	❌	✅	5
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel	✅	❌	✅	❌	✅	❌	✅	4
Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity	✅	❌	✅	✅	❌	❌	✅	4
Generalization Bounds for Model-based Algorithm Configuration	✅	❌	❌	❌	✅	❌	✅	3
Generalization Bounds for Rank-sparse Neural Networks	❌	❌	✅	❌	✅	❌	✅	3
Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention	❌	✅	✅	✅	❌	❌	✅	4
Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming	✅	✅	✅	✅	✅	❌	✅	6
Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers	❌	✅	✅	✅	✅	❌	✅	5
Generalization vs Specialization under Concept Shift	❌	❌	✅	✅	❌	❌	✅	3
Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective	❌	✅	✅	✅	✅	❌	✅	5
Generalized Contrastive Learning for Universal Multimodal Retrieval	✅	❌	✅	✅	✅	✅	✅	6
Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness	✅	✅	✅	✅	✅	❌	✅	6
Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update	✅	❌	✅	❌	✅	❌	✅	4
Generalized Linear Mode Connectivity for Transformers	✅	✅	✅	✅	✅	❌	✅	6
Generalized Top-k Mallows Model for Ranked Choices	✅	✅	✅	✅	✅	❌	✅	6
Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
Generalizing Experience for Language Agents with Hierarchical MetaFlows	✅	✅	✅	✅	✅	✅	✅	7
Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection	✅	✅	✅	✅	✅	❌	✅	6
Generalizing while preserving monotonicity in comparison-based preference learning models	❌	✅	✅	✅	✅	❌	✅	5
Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling	✅	✅	✅	❌	✅	❌	✅	5
Generating Computational Cognitive models using Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Generating Creative Chess Puzzles	❌	❌	✅	✅	❌	❌	✅	3
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations	✅	✅	✅	✅	✅	❌	✅	6
Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks	✅	✅	✅	❌	❌	❌	✅	4
Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing	✅	✅	✅	✅	✅	❌	✅	6
Generating Physically Sound Designs from Text and a Set of Physical Constraints	❌	✅	❌	❌	✅	❌	✅	3
Generating and Checking DNN Verification Proofs	✅	✅	✅	✅	✅	❌	✅	6
Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization	✅	✅	✅	✅	✅	❌	✅	6
Generative Caching for Structurally Similar Prompts and Responses	✅	✅	✅	❌	✅	❌	✅	5
Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting	✅	✅	✅	✅	✅	✅	✅	7
Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning	✅	✅	✅	✅	❌	❌	✅	5
Generative Graph Pattern Machine	❌	✅	✅	✅	✅	✅	✅	6
Generative Model Inversion Through the Lens of the Manifold Hypothesis	✅	✅	✅	✅	✅	✅	✅	7
Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings	✅	✅	✅	✅	✅	✅	✅	7
Generative Perception of Shape and Material from Differential Motion	❌	✅	✅	✅	✅	✅	✅	6
Generative Pre-trained Autoregressive Diffusion Transformer	❌	✅	✅	❌	✅	❌	✅	4
Generative RLHF-V: Learning Principles from Multi-modal Human Preference	✅	✅	✅	❌	✅	❌	✅	5
Generative Trajectory Stitching through Diffusion Composition	✅	❌	✅	❌	✅	✅	✅	5
Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms	✅	❌	✅	❌	❌	❌	✅	3
Generative property enhancer: implicit guided generation through conditional density estimation	✅	✅	✅	✅	✅	❌	✅	6
Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions	✅	✅	❌	❌	✅	✅	✅	5
Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency	❌	❌	✅	✅	✅	❌	✅	4
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation	✅	✅	✅	✅	✅	❌	✅	6
GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters	❌	✅	✅	✅	✅	❌	✅	5
GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
GeoClip: Geometry-Aware Clipping for Differentially Private SGD	✅	✅	✅	✅	✅	❌	✅	6
GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion	❌	❌	✅	❌	✅	✅	✅	4
GeoDynamics: A Geometric State‑Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds	❌	✅	✅	✅	✅	❌	✅	5
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution	❌	❌	✅	❌	✅	❌	✅	3
GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data	❌	✅	✅	✅	✅	❌	✅	5
GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization	❌	✅	✅	✅	✅	❌	✅	5
GeoRemover: Removing Objects and Their Causal Visual Artifacts	❌	✅	✅	✅	✅	❌	✅	5
GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction	❌	✅	✅	✅	✅	❌	✅	5
GeoVideo: Introducing Geometric Regularization into Video Generation Model	❌	❌	✅	❌	✅	❌	✅	3
Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design	✅	❌	✅	✅	✅	✅	✅	6
Geometric Algorithms for Neural Combinatorial Optimization with Constraints	✅	✅	✅	✅	✅	✅	✅	7
Geometric Imbalance in Semi-Supervised Node Classification	✅	✅	✅	✅	✅	❌	✅	6
Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection	❌	✅	✅	✅	✅	❌	✅	5
Geometric Mixture Models for Electrolyte Conductivity Prediction	❌	✅	✅	✅	✅	❌	✅	5
Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains	❌	✅	✅	✅	✅	❌	✅	5
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts	✅	❌	❌	❌	✅	❌	✅	3
Geometry of Decision Making in Language Models	❌	✅	✅	❌	✅	❌	✅	4
Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency	✅	✅	✅	✅	❌	❌	✅	5
Geometry-Aware Edge Pooling for Graph Neural Networks	✅	✅	✅	✅	✅	✅	✅	7
Glance2Gaze: Efficient Vision-Language Models from Glance Fusion to Gaze Compression	❌	❌	✅	✅	✅	❌	✅	4
Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm	✅	❌	❌	❌	❌	❌	❌	1
Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks	✅	✅	❌	❌	❌	❌	✅	3
Global Minimizers of Sigmoid Contrastive Loss	❌	✅	✅	✅	✅	❌	✅	5
Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies	✅	✅	✅	❌	✅	❌	✅	5
Glocal Information Bottleneck for Time Series Imputation	❌	✅	✅	✅	✅	✅	✅	6
GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability	✅	✅	✅	✅	✅	❌	✅	6
Go With the Flow: Fast Diffusion for Gaussian Mixture Models	✅	✅	✅	❌	✅	❌	✅	5
GoRA: Gradient-driven Adaptive Low Rank Adaptation	✅	✅	✅	✅	✅	❌	✅	6
GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing	❌	❌	❌	❌	✅	❌	✅	2
GoalLadder: Incremental Goal Discovery with Vision-Language Models	✅	✅	✅	❌	✅	❌	✅	5
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics	❌	✅	✅	✅	✅	❌	✅	5
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning	❌	✅	✅	✅	✅	❌	✅	5
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection	❌	✅	✅	✅	✅	❌	✅	5
GradMetaNet: An Equivariant Architecture for Learning on Gradients	✅	❌	✅	✅	✅	❌	✅	5
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective	❌	✅	✅	✅	✅	❌	✅	5
Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules	❌	✅	✅	❌	❌	❌	✅	3
Gradient Multi-Normalization for Efficient LLM Training	✅	❌	✅	✅	✅	❌	✅	5
Gradient Variance Reveals Failure Modes in Flow-Based Generative Models	❌	✅	✅	✅	✅	❌	✅	5
Gradient-Guided Epsilon Constraint Method for Online Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness	✅	❌	❌	❌	❌	❌	❌	1
Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks	✅	✅	✅	✅	✅	❌	✅	6
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks	❌	✅	✅	✅	❌	✅	✅	5
Graph Alignment via Birkhoff Relaxation	❌	✅	❌	❌	❌	❌	✅	2
Graph Data Selection for Domain Adaptation: A Model-Free Approach	✅	❌	✅	✅	✅	❌	✅	5
Graph Diffusion that can Insert and Delete	✅	✅	✅	✅	✅	❌	✅	6
Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration	✅	✅	✅	✅	✅	❌	✅	6
Graph Neural Network Based Action Ranking for Planning	✅	✅	✅	✅	✅	❌	✅	6
Graph Persistence goes Spectral	❌	✅	✅	✅	✅	❌	✅	5
Graph Your Own Prompt	❌	✅	✅	✅	✅	❌	✅	5
Graph-Based Attention for Differentiable MaxSAT Solving	✅	✅	✅	✅	✅	❌	✅	6
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation	❌	✅	✅	✅	✅	✅	✅	6
Graph-based Symbolic Regression with Invariance and Constraint Encoding	✅	❌	✅	✅	✅	❌	✅	5
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining	❌	✅	✅	✅	✅	❌	✅	5
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation	✅	✅	✅	✅	✅	✅	✅	7
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments	✅	✅	✅	✅	✅	❌	✅	6
GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Graphs Help Graphs: Multi-Agent Graph Socialized Learning	✅	✅	✅	✅	✅	❌	✅	6
Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry	❌	✅	✅	✅	✅	❌	✅	5
Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges	✅	✅	✅	✅	✅	❌	✅	6
Greed is Good: A Unifying Perspective on Guided Generation	✅	✅	✅	✅	✅	❌	✅	6
Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure	❌	❌	❌	❌	❌	❌	❌	0
Greedy Sampling Is Provably Efficient For RLHF	✅	✅	❌	❌	❌	❌	✅	3
Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals	❌	✅	✅	✅	✅	❌	✅	5
Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data	✅	✅	❌	✅	❌	❌	✅	4
Grounded Reinforcement Learning for Visual Reasoning	✅	✅	✅	✅	✅	✅	✅	7
Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs	❌	✅	✅	✅	❌	❌	✅	4
Group-Level Data Selection for Efficient Pretraining	❌	✅	✅	❌	✅	✅	✅	5
Group-in-Group Policy Optimization for LLM Agent Training	✅	✅	✅	✅	✅	❌	✅	6
Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions	✅	✅	❌	❌	✅	❌	✅	4
Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes	❌	✅	✅	✅	❌	✅	✅	5
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning	❌	✅	✅	❌	✅	❌	✅	4
GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer	❌	✅	✅	✅	✅	❌	✅	5
Guided Diffusion Sampling on Function Spaces with Applications to PDEs	✅	✅	✅	✅	✅	❌	✅	6
Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment	❌	❌	✅	❌	✅	❌	✅	3
Guiding LLM Decision-Making with Fairness Reward Models	❌	✅	✅	❌	✅	❌	✅	4
GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations	❌	✅	❌	✅	✅	❌	✅	4
H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition	✅	✅	✅	✅	✅	❌	✅	6
H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting	❌	❌	✅	✅	✅	❌	✅	4
HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene	❌	❌	✅	✅	✅	❌	✅	4
HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs	❌	✅	✅	✅	✅	❌	✅	5
HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance	❌	✅	✅	✅	✅	✅	✅	6
HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs	✅	✅	✅	✅	✅	❌	✅	6
HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving	❌	❌	✅	❌	✅	❌	✅	3
HEIR: Learning Graph-Based Motion Hierarchies	❌	❌	✅	❌	✅	❌	✅	3
HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts	❌	✅	✅	❌	✅	❌	✅	4
HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery	❌	✅	✅	✅	✅	❌	✅	5
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models	✅	✅	✅	✅	✅	❌	✅	6
HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems	✅	❌	✅	❌	✅	❌	✅	4
HMVLM:Human Motion-Vision-Language Model via MoE LoRA	❌	✅	✅	✅	✅	❌	✅	5
HOComp: Interaction-Aware Human-Object Composition	❌	❌	✅	❌	✅	✅	✅	4
HOI-Dyn: Learning Interaction Dynamics for Human-Object Motion Diffusion	❌	✅	✅	✅	✅	❌	✅	5
HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation	✅	✅	✅	❌	✅	✅	✅	6
HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models	✅	✅	✅	✅	❌	❌	✅	5
HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning	✅	✅	✅	✅	✅	✅	✅	7
Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries	✅	❌	❌	❌	❌	❌	❌	1
Hadamax Encoding: Elevating Performance in Model-Free Atari	✅	✅	✅	✅	✅	❌	✅	6
HairFree: Compositional 2D Head Prior for Text-Driven 360° Bald Texture Synthesis	❌	❌	✅	❌	✅	❌	✅	3
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning	❌	✅	✅	✅	✅	❌	✅	5
Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time	✅	✅	❌	❌	❌	❌	✅	3
Hamiltonian Neural PDE Solvers through Functional Approximation	✅	✅	✅	✅	✅	✅	✅	7
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization	❌	✅	✅	✅	✅	❌	✅	5
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation	❌	✅	✅	✅	✅	✅	✅	6
Hankel Singular Value Regularization for Highly Compressible State Space Models	✅	✅	✅	✅	✅	❌	✅	6
Hardware-aligned Hierarchical Sparse Attention for Efficient Long-term Memory Access	✅	✅	✅	✅	✅	❌	✅	6
Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning	✅	✅	✅	✅	✅	❌	✅	6
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection	✅	✅	✅	✅	✅	✅	✅	7
Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability	❌	✅	✅	❌	❌	❌	✅	3
Harnessing the Universal Geometry of Embeddings	❌	✅	✅	✅	✅	❌	✅	5
Hawaii: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation	✅	❌	✅	✅	✅	❌	✅	5
Head Pursuit: Probing Attention Specialization in Multimodal Transformers	✅	✅	✅	✅	✅	❌	✅	6
Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis	❌	❌	✅	❌	✅	❌	✅	3
HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions	✅	✅	✅	❌	✅	❌	✅	5
Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation	✅	✅	✅	✅	✅	❌	✅	6
HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation	✅	✅	✅	❌	✅	❌	✅	5
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations	✅	✅	✅	✅	❌	❌	✅	5
Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points	✅	❌	❌	❌	❌	❌	✅	2
HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses	❌	✅	✅	✅	✅	❌	✅	5
Heterogeneous Adversarial Play in Interactive Environments	✅	❌	✅	❌	✅	❌	✅	4
Heterogeneous Graph Transformers for Simultaneous Mobile Multi-Robot Task Allocation and Scheduling under Temporal Constraints	✅	✅	❌	✅	✅	✅	✅	6
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems	✅	❌	✅	✅	✅	✅	✅	6
HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference	❌	✅	✅	❌	✅	✅	✅	5
HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance	✅	✅	✅	❌	✅	❌	✅	5
HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts	✅	✅	✅	✅	✅	✅	✅	7
HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data	✅	✅	✅	✅	✅	❌	✅	6
Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM	✅	❌	✅	❌	✅	❌	✅	4
Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning	❌	✅	✅	❌	✅	✅	✅	5
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation	❌	✅	✅	❌	✅	❌	✅	4
Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain	❌	✅	✅	✅	✅	❌	✅	5
Hierarchical Implicit Neural Emulators	❌	✅	✅	❌	✅	❌	✅	4
Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis	❌	✅	✅	✅	❌	❌	❌	3
Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory	✅	❌	✅	❌	✅	❌	✅	4
Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems	✅	✅	✅	❌	✅	✅	✅	6
Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe	✅	❌	✅	✅	❌	❌	✅	4
Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems	✅	❌	✅	✅	✅	❌	✅	5
Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation	❌	❌	✅	✅	✅	❌	✅	4
Hierarchical Shortest-Path Graph Kernel Network	❌	✅	✅	✅	✅	❌	✅	5
High Dynamic Range Imaging with Time-Encoding Spike Camera	❌	❌	✅	✅	✅	❌	✅	4
High Resolution UDF Meshing via Iterative Networks	❌	❌	✅	✅	✅	❌	✅	4
High-Dimensional Calibration from Swap Regret	✅	❌	❌	❌	❌	❌	❌	1
High-Order Flow Matching: Unified Framework and Sharp Statistical Rates	❌	❌	✅	❌	❌	❌	❌	1
High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search	❌	✅	✅	❌	✅	❌	✅	4
High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model	❌	✅	✅	✅	✅	❌	✅	5
High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction	✅	✅	✅	✅	✅	✅	✅	7
High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning	✅	❌	✅	✅	✅	❌	✅	5
Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings	❌	✅	✅	✅	✅	❌	✅	5
Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval	❌	✅	✅	✅	✅	❌	✅	5
Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models	❌	✅	✅	❌	✅	❌	✅	4
HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations	✅	✅	✅	✅	✅	❌	✅	6
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention	❌	✅	✅	✅	✅	❌	✅	5
HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis	❌	❌	✅	✅	✅	❌	✅	4
HoliTom: Holistic Token Merging for Fast Video Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting	❌	✅	✅	✅	✅	✅	✅	6
Holistic Order Prediction in Natural Scenes	❌	✅	✅	✅	✅	❌	✅	5
HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing	✅	✅	✅	✅	✅	❌	✅	6
HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning	❌	✅	✅	✅	✅	❌	✅	5
HoloScene: Simulation‑Ready Interactive 3D Worlds from a Single Video	❌	❌	✅	❌	✅	❌	✅	3
Homogeneous Algorithms Can Reduce Competition in Personalized Pricing	❌	✅	✅	✅	✅	❌	✅	5
Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs	❌	✅	✅	✅	✅	❌	✅	5
HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios	❌	✅	✅	✅	✅	✅	✅	6
Horizon Reduction Makes RL Scalable	✅	✅	✅	❌	✅	❌	✅	5
How Benchmark Prediction from Fewer Data Misses the Mark	✅	✅	✅	✅	❌	❌	✅	5
How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model	✅	❌	✅	✅	✅	❌	✅	5
How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs	❌	✅	✅	❌	❌	❌	✅	3
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning	✅	✅	✅	✅	✅	❌	✅	6
How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime?	✅	✅	✅	✅	❌	❌	✅	5
How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation	✅	✅	✅	✅	✅	❌	✅	6
How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective	✅	✅	✅	✅	✅	❌	✅	6
How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
How Far Are We from Optimal Reasoning Efficiency?	❌	✅	✅	❌	✅	❌	✅	4
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension	❌	❌	❌	❌	❌	❌	❌	0
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?	✅	✅	✅	✅	❌	❌	✅	5
How Memory in Optimization Algorithms Implicitly Modifies the Loss	❌	✅	✅	✅	✅	❌	✅	5
How Particle System Theory Enhances Hypergraph Message Passing	✅	✅	✅	❌	✅	❌	✅	5
How Patterns Dictate Learnability in Sequential Data	✅	✅	❌	✅	✅	❌	✅	5
How Well Can Differential Privacy Be Audited in One Run?	✅	✅	❌	❌	❌	❌	✅	3
How do Transformers Learn Implicit Reasoning?	❌	✅	❌	✅	✅	❌	✅	4
How many measurements are enough? Bayesian recovery in inverse problems with general distributions	❌	❌	❌	❌	❌	❌	❌	0
How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation	✅	❌	✅	✅	❌	❌	✅	4
How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets	✅	❌	❌	❌	✅	✅	✅	4
How to Train Your LLM Web Agent: A Statistical Diagnosis	✅	❌	✅	✅	✅	❌	✅	5
How to build a consistency model: Learning flow maps via self-distillation	✅	✅	✅	❌	✅	❌	✅	5
HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling	✅	✅	✅	✅	✅	❌	✅	6
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection	❌	✅	✅	✅	✅	❌	✅	5
Human-assisted Robotic Policy Refinement via Action Preference Optimization	✅	✅	✅	❌	✅	❌	✅	5
HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation	❌	❌	✅	✅	✅	❌	✅	4
HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning	❌	✅	✅	❌	❌	❌	✅	3
HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location	✅	✅	✅	❌	✅	❌	✅	5
HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions	✅	✅	✅	✅	✅	❌	✅	6
HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis	❌	✅	✅	❌	✅	❌	✅	4
HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis	❌	✅	✅	❌	✅	❌	✅	4
Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings	❌	✅	✅	❌	✅	❌	✅	4
Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary	❌	❌	❌	❌	❌	❌	✅	1
Hybrid Latent Reasoning via Reinforcement Learning	❌	✅	✅	✅	❌	❌	✅	4
Hybrid Latent Representations for PDE Emulation	❌	✅	❌	✅	✅	✅	✅	5
Hybrid Re-matching for Continual Learning with Parameter-Efficient Tuning	❌	✅	✅	❌	✅	❌	✅	4
Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems	❌	✅	✅	✅	✅	❌	✅	5
Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering	✅	✅	✅	✅	✅	❌	✅	6
HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization	✅	✅	✅	❌	✅	❌	✅	5
HypRL: Reinforcement Learning of Control Policies for Hyperproperties	❌	❌	✅	❌	✅	❌	✅	3
Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities	❌	❌	✅	✅	✅	❌	✅	4
HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models	❌	❌	✅	✅	✅	❌	✅	4
HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation	✅	✅	✅	✅	✅	✅	✅	7
HyperMARL: Adaptive Hypernetworks for Multi-Agent RL	✅	✅	✅	❌	✅	❌	✅	5
HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup	❌	✅	✅	✅	✅	❌	✅	5
Hyperbolic Dataset Distillation	❌	✅	✅	✅	✅	❌	✅	5
Hyperbolic Fine-Tuning for Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization	✅	✅	✅	❌	✅	❌	✅	5
Hyperparameter Transfer Enables Consistent Gains of Matrix-Preconditioned Optimizers Across Scales	❌	✅	✅	❌	✅	❌	✅	4
HypoBootstrap: A Bootstrapping Framework for Inductive Reasoning	✅	✅	✅	❌	❌	❌	✅	4
I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions	❌	✅	✅	✅	✅	❌	✅	5
IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning	✅	✅	✅	✅	✅	✅	✅	7
IBGS: Image-Based Gaussian Splatting	❌	❌	✅	✅	✅	❌	✅	4
ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination	❌	✅	✅	✅	✅	✅	✅	6
IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation	❌	✅	✅	✅	✅	❌	✅	5
IF-Guide: Influence Function-Guided Detoxification of LLMs	✅	✅	✅	✅	✅	✅	✅	7
IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation	❌	✅	✅	✅	❌	❌	✅	4
IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization	✅	✅	✅	✅	✅	❌	✅	6
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers	❌	✅	❌	✅	✅	❌	✅	4
INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning	❌	❌	✅	✅	✅	❌	✅	4
IOSTOM: Offline Imitation Learning from Observations via State Transition Occupancy Matching	✅	✅	✅	✅	✅	✅	✅	7
IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector	✅	✅	✅	✅	✅	❌	✅	6
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals	❌	✅	✅	✅	✅	❌	✅	5
IPSI: Enhancing Structural Inference with Automatically Learned Structural Priors	❌	✅	✅	✅	✅	❌	❌	4
Identifiability of Deep Polynomial Neural Networks	❌	❌	❌	❌	❌	❌	❌	0
Identifying Macro Causal Effects in C-DMGs over DMGs	❌	❌	❌	❌	❌	❌	❌	0
Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder	❌	✅	✅	✅	✅	✅	✅	6
Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings	❌	✅	✅	❌	✅	✅	✅	5
IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation	❌	❌	✅	✅	✅	❌	✅	4
Image Editing As Programs with Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Image Stitching in Adverse Condition: A Bidirectional-Consistency Learning Framework and Benchmark	❌	❌	✅	❌	✅	❌	✅	3
Image Super-Resolution with Guarantees via Conformalized Generative Models	✅	✅	✅	✅	✅	❌	❌	5
Image Token Matters: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing	✅	✅	✅	✅	✅	❌	✅	6
Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation	❌	❌	✅	❌	✅	❌	✅	3
ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression	❌	✅	✅	❌	❌	❌	✅	3
ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation	❌	✅	✅	✅	✅	❌	✅	5
Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Imagine360: Immersive 360 Video Generation from Perspective Anchor	❌	✅	✅	❌	✅	❌	✅	4
Imagined Autocurricula	✅	❌	✅	✅	✅	❌	✅	5
Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies	✅	✅	✅	✅	✅	✅	✅	7
Imitation Beyond Expectation Using Pluralistic Stochastic Dominance	✅	✅	❌	✅	✅	❌	✅	5
Imitation Learning with Temporal Logic Constraints	✅	✅	✅	✅	✅	❌	✅	6
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning	❌	✅	✅	✅	✅	❌	✅	5
Impact of Layer Norm on Memorization and Generalization in Transformers	❌	✅	✅	✅	❌	❌	✅	4
Impartial Selection with Predictions	✅	❌	❌	❌	❌	❌	❌	1
Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data	❌	✅	✅	❌	❌	❌	✅	3
Implicit Modeling for Transferability Estimation of Vision Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections	❌	❌	✅	✅	✅	❌	✅	4
Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing	✅	✅	✅	❌	✅	❌	✅	5
Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding	❌	❌	✅	❌	✅	❌	✅	3
Improved Algorithms for Fair Matroid Submodular Maximization	❌	✅	✅	❌	❌	❌	✅	3
Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach	✅	✅	✅	❌	✅	✅	✅	6
Improved Approximation Algorithms for Chromatic and Pseudometric-Weighted Correlation Clustering	✅	❌	❌	❌	❌	❌	❌	1
Improved Balanced Classification with Theoretically Grounded Loss Functions	❌	✅	✅	✅	✅	❌	✅	5
Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback	✅	❌	❌	❌	❌	❌	❌	1
Improved Bounds for Swap Multicalibration and Swap Omniprediction	✅	❌	❌	❌	❌	❌	❌	1
Improved Confidence Regions and Optimal Algorithms for Online and Offline Linear MNL Bandits	✅	❌	❌	❌	❌	❌	✅	2
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization	✅	❌	❌	❌	❌	❌	✅	2
Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality	✅	❌	❌	❌	❌	❌	❌	1
Improved Representation Steering for Language Models	❌	❌	✅	✅	✅	❌	✅	4
Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point	✅	❌	❌	❌	❌	❌	❌	1
Improved Scaling Laws in Linear Regression via Data Reuse	❌	❌	❌	❌	❌	❌	✅	1
Improved Training Technique for Shortcut Models	✅	❌	✅	✅	❌	❌	✅	4
Improving Bilinear RNN with Closed-loop Control	✅	✅	✅	❌	✅	❌	✅	5
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay	✅	✅	✅	✅	✅	❌	✅	6
Improving Decision Trees through the Lens of Parameterized Local Search	✅	✅	✅	❌	✅	✅	✅	6
Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Linear Extrapolation	✅	✅	✅	✅	✅	❌	✅	6
Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization	✅	❌	❌	✅	✅	❌	✅	4
Improving Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias	✅	✅	✅	✅	✅	✅	✅	7
Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning	✅	✅	✅	✅	✅	❌	✅	6
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking	✅	✅	✅	❌	✅	❌	✅	5
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent	✅	✅	✅	❌	✅	❌	✅	5
Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads	❌	✅	✅	❌	✅	❌	✅	4
Improving Model-Based Reinforcement Learning by Converging to Flatter Minima	❌	✅	✅	❌	❌	❌	✅	3
Improving Monte Carlo Tree Search for Symbolic Regression	✅	✅	✅	✅	✅	❌	✅	6
Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration	❌	✅	✅	✅	❌	❌	✅	4
Improving Progressive Generation with Decomposable Flow Matching	✅	❌	✅	❌	✅	❌	✅	4
Improving Regret Approximation for Unsupervised Dynamic Environment Generation	✅	✅	✅	✅	✅	❌	✅	6
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation	❌	❌	✅	✅	✅	❌	✅	4
Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting	❌	✅	✅	✅	✅	✅	✅	6
Improving Time Series Forecasting via Instance-aware Post-hoc Revision	❌	✅	✅	✅	✅	❌	✅	5
Improving Video Generation with Human Feedback	✅	✅	✅	✅	✅	❌	✅	6
Improving planning and MBRL with temporally-extended actions	✅	✅	✅	❌	✅	❌	✅	5
Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity	✅	✅	✅	✅	✅	❌	✅	6
Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference	❌	✅	✅	❌	✅	❌	✅	4
Improving the Straight-Through Estimator with Zeroth-Order Information	✅	✅	✅	✅	✅	❌	✅	6
In Search of Adam’s Secret Sauce	❌	✅	✅	✅	✅	❌	✅	5
In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain	❌	✅	✅	✅	✅	❌	✅	5
In-Context Compositional Learning vis Sparse Coding Transformer	❌	✅	✅	✅	✅	❌	✅	5
In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
In-Context Learning Strategies Emerge Rationally	❌	✅	❌	✅	✅	❌	✅	4
In-Context Learning of Stochastic Differential Equations with Foundation Inference Models	✅	✅	✅	✅	✅	❌	✅	6
In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation	❌	❌	❌	❌	❌	❌	✅	1
Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints	✅	✅	❌	❌	✅	❌	✅	4
Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty	❌	✅	✅	❌	❌	❌	✅	3
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning	❌	❌	✅	❌	✅	❌	✅	3
Incentivizing LLMs to Self-Verify Their Answers	✅	✅	✅	✅	✅	❌	✅	6
Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Incentivizing Time-Aware Fairness in Data Sharing	❌	✅	✅	✅	✅	✅	✅	6
Incentivizing Truthful Language Models via Peer Elicitation Games	✅	✅	✅	❌	✅	❌	✅	5
Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion	✅	✅	✅	❌	✅	✅	✅	6
Incomplete Multi-view Deep Clustering with Data Imputation and Alignment	✅	✅	✅	✅	✅	✅	✅	7
Increasing the Utility of Synthetic Images through Chamfer Guidance	❌	❌	✅	✅	✅	❌	✅	4
Incremental Sequence Classification with Temporal Consistency	✅	❌	✅	✅	✅	❌	✅	5
Individual Fairness In Strategic Classification	✅	✅	✅	✅	✅	❌	✅	6
Individual Regret in Cooperative Stochastic Multi-Armed Bandits	✅	❌	❌	❌	❌	❌	❌	1
Individually Fair Diversity Maximization	✅	✅	✅	❌	✅	❌	✅	5
Inductive Domain Transfer In Misspecified Simulation-Based Inference	✅	✅	✅	✅	❌	✅	✅	6
IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs	❌	❌	✅	❌	❌	❌	✅	2
Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization	✅	✅	✅	❌	✅	✅	✅	6
InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions	✅	✅	✅	✅	✅	❌	✅	6
InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction	✅	✅	✅	✅	✅	❌	✅	6
Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG	✅	❌	✅	❌	✅	❌	✅	4
Inference with correlated priors using sisters cells	❌	✅	✅	❌	✅	✅	✅	5
Inference-Time Hyper-Scaling with KV Cache Compression	❌	❌	✅	❌	✅	✅	✅	4
Inference-Time Personalized Alignment with a Few User Preference Queries	✅	✅	✅	❌	✅	❌	✅	5
Inference-Time Reward Hacking in Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing	✅	✅	✅	✅	✅	❌	✅	6
Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search	✅	✅	✅	✅	✅	❌	✅	6
Inference-time Alignment in Continuous Space	✅	✅	✅	✅	✅	❌	✅	6
Inferring stochastic dynamics with growth from cross-sectional data	✅	✅	✅	❌	✅	❌	✅	5
InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion	❌	✅	✅	❌	✅	❌	✅	4
InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding	✅	❌	✅	✅	✅	❌	✅	5
Infinite Neural Operators: Gaussian processes on functions	❌	✅	✅	✅	✅	❌	✅	5
Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs	✅	✅	❌	❌	❌	❌	✅	3
InfinityStar: Uniﬁed Spacetime AutoRegressive Modeling for Visual Generation	❌	✅	✅	❌	❌	❌	✅	3
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Influence Guided Context Selection for Effective Retrieval-Augmented Generation	❌	✅	✅	✅	✅	✅	✅	6
Information Retrieval Induced Safety Degradation in AI Agents	✅	✅	✅	✅	❌	✅	✅	6
Information Theoretic Learning for Diffusion Models with Warm Start	✅	❌	✅	✅	✅	❌	✅	5
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination	❌	❌	❌	❌	❌	❌	❌	0
Information-Driven Design of Imaging Systems	❌	✅	✅	✅	✅	❌	✅	5
Information-Theoretic Discrete Diffusion	❌	✅	✅	✅	✅	❌	✅	5
Information-Theoretic Reward Decomposition for Generalizable RLHF	✅	❌	✅	✅	✅	❌	✅	5
Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables	❌	✅	✅	✅	✅	❌	✅	5
Informed Correctors for Discrete Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Informed Initialization for Bayesian Optimization and Active Learning	❌	✅	✅	✅	✅	❌	✅	5
Infrequent Exploration in Linear Bandits	✅	✅	❌	❌	✅	❌	✅	4
Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes	❌	✅	✅	❌	✅	❌	✅	4
Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination	✅	✅	✅	✅	✅	✅	✅	7
Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets	✅	✅	✅	✅	✅	❌	✅	6
InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model	❌	❌	✅	✅	✅	❌	✅	4
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring	✅	❌	❌	❌	❌	❌	❌	1
Instance-Level Composed Image Retrieval	❌	❌	✅	✅	✅	❌	✅	4
Instance-Optimality for Private KL Distribution Estimation	✅	❌	✅	✅	✅	❌	✅	5
InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention	❌	✅	✅	❌	✅	❌	✅	4
Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks	❌	❌	✅	✅	✅	❌	✅	4
Instant4D: 4D Gaussian Splatting in Minutes	❌	❌	✅	❌	✅	❌	✅	3
InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning	❌	✅	✅	❌	✅	❌	✅	4
InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection	❌	❌	✅	✅	✅	❌	✅	4
InstructRestore: Region-Customized Image Restoration with Human Instructions	❌	✅	✅	❌	✅	❌	✅	4
InstructSAM: A Training-free Framework for Instruction-Oriented Remote Sensing Object Recognition	❌	✅	✅	✅	✅	✅	✅	6
Integral Imprecise Probability Metrics	❌	✅	✅	✅	✅	❌	✅	5
Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation	❌	✅	✅	✅	✅	✅	✅	6
Integration Matters for Learning PDEs with Backward SDEs	✅	✅	✅	✅	✅	❌	✅	6
Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation	✅	✅	✅	✅	✅	✅	✅	7
Interactive Anomaly Detection for Articulated Objects via Motion Anticipation	❌	❌	✅	✅	✅	❌	✅	4
Interactive Cross-modal Learning for Text-3D Scene Retrieval	❌	✅	✅	❌	✅	❌	✅	4
Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning	✅	✅	✅	✅	✅	✅	✅	7
Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval	❌	✅	✅	✅	❌	❌	✅	4
Interpretable Next-token Prediction via the Generalized Induction Head	❌	✅	✅	✅	✅	❌	✅	5
Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features	✅	✅	✅	✅	✅	❌	✅	6
Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions	❌	❌	✅	✅	✅	❌	✅	4
Interpreting Emergent Features in Deep Learning-based Side-channel Analysis	❌	✅	✅	✅	✅	❌	✅	5
Interpreting vision transformers via residual replacement model	❌	✅	✅	✅	✅	❌	✅	5
Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats	✅	❌	✅	✅	❌	❌	✅	4
IntrinsiX: High-Quality PBR Generation using Image Priors	❌	❌	✅	❌	✅	❌	✅	3
Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
Intrinsic Goals for Autonomous Agents: Model-Based Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-Brain Dynamics	❌	✅	✅	❌	❌	❌	✅	3
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models	✅	✅	✅	✅	✅	✅	✅	7
InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems	✅	✅	✅	❌	✅	❌	✅	5
Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems	✅	✅	✅	✅	✅	❌	✅	6
Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^\pi$-Realizable MDPs	✅	✅	✅	❌	❌	❌	✅	4
Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis	✅	❌	✅	✅	✅	✅	✅	6
Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning	❌	✅	✅	✅	✅	❌	✅	5
InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy	✅	✅	✅	❌	✅	✅	✅	6
Irrational Complex Rotations Empower Low-bit Optimizers	✅	✅	✅	✅	❌	❌	✅	5
Is Grokking a Computational Glass Relaxation?	✅	✅	❌	✅	✅	❌	✅	5
Is Limited Participant Diversity Impeding EEG-based Machine Learning?	❌	✅	✅	✅	✅	❌	✅	5
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models	❌	✅	✅	✅	✅	✅	✅	6
Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs	❌	❌	✅	❌	❌	❌	✅	2
Is Your Diffusion Model Actually Denoising?	✅	✅	✅	❌	✅	❌	✅	5
Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers	❌	❌	✅	✅	❌	❌	✅	3
Isotropic Noise in Stochastic and Quantum Convex Optimization	✅	❌	❌	❌	❌	❌	❌	1
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model	✅	✅	✅	✅	❌	❌	✅	5
Iterative Foundation Model Fine-Tuning on Multiple Rewards	✅	✅	✅	✅	✅	❌	✅	6
Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision	❌	✅	✅	✅	✅	❌	✅	5
Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers	✅	✅	✅	✅	❌	✅	✅	6
Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning	✅	✅	✅	✅	✅	❌	✅	6
It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation	✅	✅	❌	✅	❌	❌	✅	4
JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics	✅	✅	✅	❌	❌	❌	✅	4
JAFAR: Jack up Any Feature at Any Resolution	❌	❌	✅	✅	✅	❌	✅	4
JAMUN: Bridging Smoothed Molecular Dynamics and Score-Based Learning for Conformational Ensemble Generation	✅	✅	✅	✅	✅	✅	✅	7
Jacobian-Based Interpretation of Nonlinear Neural Encoding Model	❌	✅	✅	✅	✅	❌	✅	5
JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models	✅	❌	✅	❌	✅	❌	✅	4
Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence	✅	✅	✅	✅	✅	❌	✅	6
Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model	❌	✅	✅	✅	✅	❌	✅	5
JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent	❌	❌	✅	✅	✅	✅	✅	5
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation	✅	✅	✅	✅	✅	✅	✅	7
JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation	❌	✅	✅	✅	✅	❌	✅	5
Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search	❌	✅	✅	✅	✅	✅	✅	6
Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry	✅	✅	✅	❌	✅	❌	✅	5
Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model	❌	✅	✅	✅	✅	❌	✅	5
Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance	✅	✅	✅	✅	✅	❌	✅	6
Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks	❌	❌	✅	✅	❌	✅	✅	4
Joint Relational Database Generation via Graph-Conditional Diffusion Models	✅	✅	✅	✅	✅	✅	✅	7
Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling	✅	✅	✅	✅	✅	❌	✅	6
Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning	❌	✅	✅	✅	❌	❌	✅	4
Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding	❌	✅	✅	✅	✅	❌	✅	5
Just One Layer Norm Guarantees Stable Extrapolation	❌	✅	✅	✅	✅	❌	✅	5
K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling	✅	✅	✅	✅	✅	❌	✅	6
KAIROS: Scalable Model-Agnostic Data Valuation	✅	✅	✅	✅	✅	❌	✅	6
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment	✅	✅	✅	❌	❌	✅	✅	5
KGGen: Extracting Knowledge Graphs from Plain Text with Language Models	❌	✅	✅	❌	❌	❌	✅	3
KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference	✅	✅	✅	❌	✅	❌	✅	5
KL Penalty Control via Perturbation for Direct Preference Optimization	✅	✅	✅	✅	✅	❌	✅	6
KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity	✅	✅	✅	✅	✅	❌	✅	6
KLASS: KL-Guided Fast Inference in Masked Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products	✅	✅	✅	✅	✅	❌	✅	6
KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation	❌	✅	✅	✅	✅	❌	✅	5
KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis	✅	✅	✅	✅	✅	❌	✅	6
KScope: A Framework for Characterizing the Knowledge Status of Language Models	✅	✅	✅	❌	✅	❌	✅	5
KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning	✅	✅	✅	✅	✅	❌	✅	6
KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems	✅	✅	✅	❌	✅	❌	✅	5
KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows	✅	❌	✅	❌	✅	✅	✅	5
KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse	❌	✅	✅	✅	✅	❌	✅	5
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction	✅	✅	✅	❌	✅	❌	✅	5
KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing	❌	✅	✅	❌	✅	❌	✅	4
KeeA: Epistemic Exploratory A Search via Knowledge Calibration	✅	✅	✅	✅	✅	❌	✅	6
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning	✅	✅	✅	✅	✅	✅	✅	7
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy	❌	✅	✅	✅	✅	❌	✅	5
Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration	✅	❌	✅	✅	❌	❌	✅	4
Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization	✅	✅	✅	❌	❌	❌	✅	4
Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning	❌	✅	✅	✅	✅	❌	✅	5
Kernel conditional tests from learning-theoretic bounds	✅	✅	❌	❌	✅	❌	✅	4
Kernel von Mises Formula of the Influence Function	❌	✅	❌	❌	✅	❌	✅	3
Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning	❌	❌	❌	❌	❌	❌	❌	0
KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments	✅	❌	✅	✅	✅	❌	✅	5
Kinaema: a recurrent sequence model for memory and pose in motion	✅	❌	✅	✅	✅	❌	✅	5
Kinetics: Rethinking Test-Time Scaling Law	✅	✅	✅	✅	✅	❌	✅	6
Knee-Deep in C-RASP: A Transformer Depth Hierarchy	❌	✅	❌	✅	❌	❌	✅	3
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context	❌	✅	✅	✅	✅	❌	✅	5
Know What You Don't Know: Uncertainty Calibration of Process Reward Models	✅	✅	✅	✅	✅	❌	✅	6
Knowing When to Stop: Efficient Context Processing via Latent Sufficiency Signals	❌	✅	✅	✅	✅	❌	✅	5
Knowledge Distillation Detection for Open-weights Models	❌	✅	✅	❌	✅	❌	✅	4
Knowledge Distillation of Uncertainty using Deep Latent Factor Model	✅	✅	✅	✅	✅	✅	✅	7
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning	✅	❌	✅	✅	❌	❌	✅	4
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better	❌	✅	✅	❌	✅	❌	✅	4
Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation	❌	✅	✅	❌	✅	✅	✅	5
Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering	❌	✅	✅	✅	✅	❌	✅	5
KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills	❌	✅	✅	❌	✅	❌	✅	4
Kuramoto Orientation Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling	❌	✅	✅	✅	✅	❌	✅	5
L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias	❌	❌	✅	✅	❌	❌	✅	3
L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery	❌	❌	❌	✅	✅	❌	✅	3
LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process	✅	❌	✅	✅	✅	❌	✅	5
LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs	✅	✅	✅	✅	✅	❌	✅	6
LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits	✅	✅	✅	✅	✅	❌	✅	6
LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion	❌	✅	✅	❌	✅	❌	✅	4
LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model	✅	✅	✅	✅	✅	❌	✅	6
LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding	❌	✅	✅	❌	✅	❌	✅	4
LILO: Learning to Reason at the Frontier of Learnability	✅	❌	✅	❌	✅	❌	✅	4
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling	✅	✅	✅	❌	❌	❌	✅	4
LLM Interpretability with Identifiable Temporal-Instantaneous Representation	❌	✅	✅	❌	✅	❌	✅	4
LLM Layers Immediately Correct Each Other	❌	✅	✅	✅	❌	❌	✅	4
LLM Meeting Decision Trees on Tabular Data	✅	✅	✅	❌	✅	❌	❌	4
LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation	✅	✅	✅	✅	❌	❌	✅	5
LLM Query Scheduling with Prefix Reuse and Latency Constraints	✅	❌	❌	✅	✅	✅	✅	5
LLM Safety Alignment is Divergence Estimation in Disguise	❌	✅	✅	❌	✅	❌	✅	4
LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory	❌	✅	✅	❌	❌	❌	✅	3
LLM Unlearning via Neural Activation Redirection	✅	❌	✅	✅	✅	❌	✅	5
LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach	❌	❌	✅	❌	✅	❌	✅	3
LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering	❌	✅	✅	❌	✅	❌	✅	4
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding	✅	✅	✅	❌	✅	❌	✅	5
LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models	❌	✅	✅	❌	✅	✅	✅	5
LLM-PySC2: Starcraft II learning environment for Large Language Models	✅	✅	✅	❌	✅	✅	✅	6
LLMs Encode Harmfulness and Refusal Separately	❌	✅	✅	✅	✅	❌	✅	5
LMFusion: Adapting Pretrained Language Models for Multimodal Generation	❌	✅	✅	✅	✅	❌	✅	5
LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering	❌	❌	✅	✅	✅	❌	✅	4
LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models	❌	❌	✅	❌	✅	❌	✅	3
LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas	✅	❌	✅	❌	✅	❌	✅	4
LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders	✅	✅	✅	✅	✅	❌	✅	6
LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups	✅	✅	✅	❌	✅	✅	✅	6
LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis	❌	✅	✅	✅	✅	✅	✅	6
LVLM-Driven Attribute-Aware Modeling for Visible-Infrared Person Re-Identification	✅	❌	✅	✅	✅	❌	✅	5
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities	✅	✅	✅	✅	✅	✅	✅	7
LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search	✅	✅	✅	❌	✅	❌	✅	5
LaViDa: A Large Diffusion Language Model for Multimodal Understanding	❌	✅	✅	✅	✅	❌	✅	5
LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing	❌	✅	✅	✅	✅	❌	✅	5
LabelAny3D: Label Any Object 3D in the Wild	❌	✅	✅	✅	✅	❌	✅	5
LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation	❌	❌	✅	✅	✅	❌	✅	4
LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS	✅	✅	✅	❌	✅	❌	✅	5
Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale	❌	✅	✅	✅	❌	❌	✅	4
Language Modeling by Language Models	✅	✅	✅	✅	✅	❌	✅	6
Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations	❌	✅	✅	✅	✅	❌	✅	5
Language Models Can Predict Their Own Behavior	❌	✅	✅	✅	✅	❌	✅	5
Language Models can Self-Improve at State-Value Estimation for Better Search	✅	✅	✅	✅	✅	❌	✅	6
Language Ranker: A Lightweight Ranking framework for LLM Decoding	❌	❌	✅	✅	✅	❌	✅	4
Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing	❌	❌	✅	❌	❌	❌	❌	1
Large Language Bayes	✅	❌	❌	❌	✅	❌	✅	3
Large Language Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
Large Language Models Think Too Fast To Explore Effectively	❌	✅	✅	❌	✅	❌	✅	4
Large Language Models as End-to-end Combinatorial Optimization Solvers	❌	✅	✅	✅	✅	❌	✅	5
Large Language Models as Model Organisms for Human Associative Learning	❌	✅	❌	❌	✅	❌	✅	3
Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need	❌	❌	✅	✅	✅	❌	✅	4
Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression	✅	✅	✅	❌	❌	❌	✅	4
Large language models can learn and generalize steganographic chain-of-thought under process supervision	❌	✅	✅	✅	✅	✅	✅	6
Last Iterate Convergence in Monotone Mean Field Games	✅	❌	✅	❌	✅	❌	✅	4
Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria	✅	✅	✅	✅	✅	❌	✅	6
Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?	✅	❌	✅	✅	✅	✅	✅	6
Latent Chain-of-Thought for Visual Reasoning	❌	✅	✅	✅	✅	❌	✅	5
Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement	❌	❌	✅	❌	❌	❌	❌	1
Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning	✅	✅	✅	✅	✅	❌	✅	6
Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution	✅	✅	✅	✅	✅	❌	✅	6
Latent Principle Discovery for Language Model Self-Improvement	✅	❌	✅	✅	✅	❌	✅	5
Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving	✅	❌	✅	✅	✅	❌	✅	5
Latent Retrieval Augmented Generation of Cross-Domain Protein Binders	✅	✅	✅	✅	✅	❌	✅	6
Latent Space Factorization in LoRA	❌	✅	✅	✅	❌	❌	✅	4
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification	✅	✅	✅	✅	✅	❌	✅	6
Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity	❌	✅	✅	✅	✅	❌	✅	5
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation	✅	✅	✅	✅	✅	❌	✅	6
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion	❌	✅	✅	✅	✅	❌	✅	5
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning	✅	✅	✅	✅	✅	✅	✅	7
LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration	❌	✅	✅	✅	✅	❌	✅	5
LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions	✅	✅	✅	❌	✅	❌	✅	5
LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation	✅	✅	✅	✅	✅	❌	✅	6
LeVo: High-Quality Song Generation with Multi-Preference Alignment	❌	✅	✅	✅	✅	❌	✅	5
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching	✅	✅	✅	✅	✅	❌	✅	6
Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning	✅	❌	✅	❌	✅	✅	✅	5
Learn2Mix: Training Neural Networks Using Adaptive Data Integration	✅	✅	✅	✅	✅	❌	✅	6
Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing	❌	✅	✅	✅	✅	❌	✅	5
Learnable Sampler Distillation for Discrete Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Learned Prefix Caching for Efficient LLM Inference	❌	✅	✅	✅	✅	✅	✅	6
Learning (Approximately) Equivariant Networks via Constrained Optimization	✅	✅	✅	✅	✅	❌	✅	6
Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields	❌	✅	✅	✅	✅	❌	✅	5
Learning 3D Persistent Embodied World Models	✅	❌	✅	❌	✅	❌	✅	4
Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data	✅	✅	✅	❌	✅	❌	✅	5
Learning CAD Modeling Sequences via Projection and Part Awareness	❌	❌	✅	✅	✅	❌	✅	4
Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks	❌	✅	❌	❌	✅	❌	✅	3
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems	✅	✅	✅	❌	✅	✅	✅	6
Learning Counterfactual Outcomes Under Rank Preservation	❌	✅	✅	✅	❌	❌	✅	4
Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics	❌	✅	✅	✅	❌	❌	✅	4
Learning Dense Hand Contact Estimation from Imbalanced Data	❌	✅	✅	✅	✅	❌	✅	5
Learning Differential Pyramid Representation for Tone Mapping	❌	❌	✅	✅	✅	❌	✅	4
Learning Diffusion Models with Flexible Representation Guidance	❌	✅	✅	✅	✅	❌	✅	5
Learning Dynamics of RNNs in Closed-Loop Environments	❌	✅	❌	❌	❌	❌	✅	2
Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting	❌	❌	✅	✅	✅	❌	✅	4
Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning	✅	✅	❌	❌	❌	❌	✅	3
Learning Expandable and Adaptable Representations for Continual Learning	✅	✅	✅	✅	❌	❌	❌	4
Learning Generalizable Shape Completion with SIM(3) Equivariance	❌	✅	✅	❌	✅	❌	✅	4
Learning Gradient Boosted Decision Trees with Algorithmic Recourse	✅	✅	✅	✅	✅	✅	✅	7
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression	✅	✅	✅	✅	✅	✅	✅	7
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization	❌	❌	✅	✅	✅	❌	✅	4
Learning Human-Object Interaction as Groups	✅	✅	✅	✅	✅	❌	✅	6
Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks	✅	✅	❌	✅	✅	❌	✅	5
Learning Interactive World Model for Object-Centric Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
Learning Interestingness in Automated Mathematical Theory Formation	✅	✅	❌	❌	✅	❌	✅	4
Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization	✅	✅	✅	❌	✅	✅	✅	6
Learning Juntas under Markov Random Fields	✅	❌	❌	❌	❌	❌	❌	1
Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm	✅	✅	✅	✅	✅	❌	✅	6
Learning Linear Attention in Polynomial Time	✅	✅	✅	❌	❌	❌	✅	4
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling	✅	❌	✅	❌	✅	❌	✅	4
Learning Multi-Source and Robust Representations for Continual Learning	✅	✅	✅	❌	❌	❌	❌	3
Learning Neural Exposure Fields for View Synthesis	❌	❌	✅	✅	✅	❌	✅	4
Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis	✅	✅	❌	❌	✅	❌	✅	4
Learning Parameterized Skills from Demonstrations	❌	✅	✅	✅	✅	❌	✅	5
Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift	✅	✅	✅	✅	✅	❌	✅	6
Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards	✅	❌	❌	✅	❌	❌	✅	3
Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach	✅	❌	❌	✅	✅	❌	✅	4
Learning Provably Improves the Convergence of Gradient Descent	❌	✅	✅	❌	✅	✅	✅	5
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data	❌	✅	✅	✅	✅	❌	✅	5
Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics	❌	✅	✅	✅	✅	❌	✅	5
Learning Repetition-Invariant Representations for Polymer Informatics	❌	❌	✅	✅	✅	✅	✅	5
Learning Robust Spectral Dynamics for Temporal Domain Generalization	✅	✅	✅	✅	✅	❌	✅	6
Learning Robust Vision-Language Models from Natural Latent Spaces	✅	✅	✅	✅	✅	❌	✅	6
Learning Shared Representations from Unpaired Data	✅	✅	✅	✅	✅	❌	✅	6
Learning Simple Interpolants for Linear Integer Arithmetic	❌	✅	✅	✅	✅	❌	✅	5
Learning Skill-Attributes for Transferable Assessment in Video	❌	❌	✅	✅	✅	❌	✅	4
Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification	❌	✅	✅	✅	✅	❌	✅	5
Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs	✅	✅	✅	✅	✅	✅	✅	7
Learning Spatial-Aware Manipulation Ordering	❌	✅	✅	✅	✅	❌	✅	5
Learning Stochastic Multiscale Models	❌	✅	✅	✅	✅	❌	✅	5
Learning Task-Agnostic Representations through Multi-Teacher Distillation	✅	✅	✅	✅	✅	❌	✅	6
Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance	✅	✅	✅	✅	✅	❌	✅	6
Learning Theory for Kernel Bilevel Optimization	❌	✅	❌	❌	✅	❌	✅	3
Learning Urban Climate Dynamics via Physics-Guided Urban Surface–Atmosphere Interactions	❌	✅	✅	✅	✅	❌	✅	5
Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL	❌	✅	✅	❌	✅	❌	✅	4
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections	✅	✅	✅	✅	✅	✅	✅	7
Learning World Models for Interactive Video Generation	❌	❌	✅	✅	✅	❌	✅	4
Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization	✅	❌	✅	✅	✅	❌	✅	5
Learning and Planning Multi-Agent Tasks via an MoE-based World Model	✅	✅	✅	❌	✅	❌	✅	5
Learning conformational ensembles of proteins based on backbone geometry	✅	✅	✅	✅	✅	✅	✅	7
Learning from A Single Markovian Trajectory: Optimality and Variance Reduction	✅	❌	❌	❌	❌	❌	❌	1
Learning from Delayed Feedback in Games via Extra Prediction	✅	✅	❌	❌	✅	✅	✅	5
Learning from Demonstrations via Capability-Aware Goal Sampling	✅	✅	✅	✅	✅	❌	✅	6
Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering	❌	✅	✅	✅	✅	❌	✅	5
Learning from Interval Targets	❌	✅	✅	❌	❌	❌	✅	3
Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models	❌	✅	✅	✅	✅	❌	✅	5
Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors	❌	✅	✅	✅	✅	❌	✅	5
Learning from positive and unlabeled examples -Finite size sample bounds	✅	❌	❌	❌	❌	❌	❌	1
Learning in Compact Spaces with Approximately Normalized Transformer	❌	✅	✅	❌	✅	✅	✅	5
Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis	✅	✅	✅	❌	✅	❌	✅	5
Learning long range dependencies through time reversal symmetry breaking	✅	✅	✅	✅	✅	❌	✅	6
Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free	✅	✅	✅	✅	✅	❌	✅	6
Learning normalized image densities via dual score matching	❌	✅	✅	✅	✅	❌	✅	5
Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws	✅	❌	❌	❌	❌	❌	✅	2
Learning single index models via harmonic decomposition	✅	❌	❌	❌	❌	❌	❌	1
Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models	❌	✅	✅	❌	✅	❌	✅	4
Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks	✅	✅	❌	❌	❌	❌	✅	3
Learning to Better Search with Language Models via Guided Reinforced Self-Training	✅	✅	✅	✅	❌	❌	✅	5
Learning to Clean: Reinforcement Learning for Noisy Label Correction	✅	❌	✅	✅	✅	❌	✅	5
Learning to Condition: A Neural Heuristic for Scalable MPE Inference	✅	✅	✅	✅	✅	✅	✅	7
Learning to Control Free-Form Soft Swimmers	❌	✅	❌	❌	❌	❌	✅	2
Learning to Factorize Spatio-Temporal Foundation Models	✅	✅	✅	✅	❌	❌	✅	5
Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding	❌	✅	✅	✅	✅	✅	✅	6
Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning	❌	✅	✅	✅	✅	❌	✅	5
Learning to Generalize: An Information Perspective on Neural Processes	✅	✅	✅	✅	✅	✅	✅	7
Learning to Generate Human-Human-Object Interactions from Textual Descriptions	❌	❌	✅	❌	❌	✅	✅	3
Learning to Insert for Constructive Neural Vehicle Routing Solver	❌	✅	✅	✅	✅	❌	✅	5
Learning to Instruct for Visual Instruction Tuning	❌	✅	✅	❌	✅	❌	✅	4
Learning to Integrate Diffusion ODEs by Averaging the Derivatives	✅	✅	✅	✅	✅	❌	✅	6
Learning to Learn with Contrastive Meta-Objective	✅	✅	✅	✅	❌	❌	✅	5
Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making	❌	❌	✅	✅	✅	❌	✅	4
Learning to Rank for In-Context Example Retrieval	❌	✅	✅	✅	✅	❌	✅	5
Learning to Reason under Off-Policy Guidance	❌	✅	✅	✅	✅	❌	✅	5
Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction	✅	✅	❌	✅	❌	❌	❌	3
Learning to Solve Complex Problems via Dataset Decomposition	✅	❌	✅	✅	✅	❌	✅	5
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings	✅	❌	✅	✅	✅	❌	✅	5
Learning to Steer: Input-dependent Steering for Multimodal LLMs	❌	✅	✅	✅	✅	❌	✅	5
Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs	✅	✅	✅	✅	✅	❌	✅	6
Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization	✅	✅	✅	✅	✅	❌	✅	6
Learning to Zoom with Anatomical Relations for Medical Structure Detection	❌	❌	✅	✅	✅	❌	✅	4
Learning to cluster neuronal function	✅	✅	✅	✅	✅	❌	✅	6
Learning to price with resource constraints: from full information to machine-learned prices	✅	❌	❌	❌	✅	❌	✅	3
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions	✅	✅	✅	✅	❌	❌	✅	5
Learning with Statistical Equality Constraints	✅	✅	✅	✅	✅	❌	✅	6
Learning “Partner-Aware” Collaborators in Multi-Party Collaboration	✅	✅	✅	✅	✅	❌	✅	6
Learning-Augmented Algorithms for $k$-median via Online Learning	✅	✅	❌	❌	✅	❌	✅	4
Learning-Augmented Facility Location Mechanisms for Envy Ratio	✅	❌	❌	❌	❌	❌	❌	1
Learning-Augmented Online Bidding in Stochastic Settings	✅	✅	✅	❌	✅	❌	✅	5
Learning-Augmented Online Bipartite Fractional Matching	✅	✅	✅	❌	❌	❌	✅	4
Learning-Augmented Streaming Algorithms for Correlation Clustering	✅	✅	✅	❌	✅	✅	✅	6
Least squares variational inference	✅	✅	✅	❌	✅	✅	✅	6
Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Length Generalization via Auxiliary Tasks	❌	❌	❌	❌	❌	❌	✅	1
Less Greedy Equivalence Search	✅	✅	✅	❌	✅	❌	✅	5
Less Is More, but Where? Dynamic Token Compression via LLM-Guided Keyframe Prior	✅	✅	✅	✅	❌	❌	✅	5
Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting	❌	✅	✅	✅	✅	✅	✅	6
Less is More: Improving LLM Alignment via Preference Data Selection	❌	✅	✅	✅	✅	❌	✅	5
Less is More: Local Intrinsic Dimensions of Contextual Language Models	✅	✅	✅	✅	✅	❌	✅	6
Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning	✅	✅	✅	✅	✅	❌	✅	6
Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning	❌	✅	✅	✅	✅	✅	✅	6
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve	✅	✅	✅	✅	✅	❌	✅	6
Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs	✅	✅	✅	✅	❌	❌	✅	5
Let LRMs Break Free from Overthinking via Self-Braking Tuning	✅	✅	✅	✅	✅	❌	✅	6
Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones	❌	✅	✅	❌	✅	❌	✅	4
Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation	❌	❌	✅	✅	✅	❌	✅	4
Let a Neural Network be Your Invariant	❌	✅	✅	❌	✅	✅	✅	5
Let the LLM Stick to Its Strengths: Learning to Route Economical LLM	❌	✅	✅	❌	❌	❌	❌	2
Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs	✅	✅	✅	✅	✅	❌	✅	6
Leveraging Conditional Dependence for Efficient World Model Denoising	✅	✅	✅	✅	✅	❌	✅	6
Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Leveraging robust optimization for llm alignment under distribution shifts	✅	❌	✅	✅	✅	❌	✅	5
Leveraging semantic similarity for experimentation with AI-generated treatments	✅	✅	✅	✅	✅	❌	✅	6
Lie Detector: Unified Backdoor Detection via Cross-Examination Framework	✅	✅	✅	✅	✅	❌	✅	6
Lifelong Safety Alignment for Language Models	✅	✅	✅	✅	✅	✅	✅	7
Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace	❌	✅	✅	✅	✅	❌	✅	5
Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators	❌	✅	✅	✅	✅	❌	✅	5
LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders	✅	✅	✅	❌	✅	❌	✅	5
Limitations of Normalization in Attention	✅	❌	✅	✅	✅	❌	✅	5
Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis	❌	✅	✅	✅	✅	❌	✅	5
LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss	✅	❌	✅	✅	✅	❌	✅	5
LinPrim: Linear Primitives for Differentiable Volumetric Rendering	❌	❌	✅	✅	✅	❌	✅	4
Linear Attention for Efficient Bidirectional Sequence Modeling	✅	✅	✅	✅	✅	❌	✅	6
Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials	❌	✅	✅	✅	❌	❌	✅	4
Linear Mixture Distributionally Robust Markov Decision Processes	✅	✅	❌	❌	✅	❌	✅	4
Linear Transformers Implicitly Discover Unified Numerical Algorithms	✅	✅	✅	❌	❌	❌	✅	4
Linearization Explains Fine-Tuning in Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Linearly Constrained Diffusion Implicit Models	✅	✅	✅	✅	✅	❌	✅	6
List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression	✅	✅	✅	✅	✅	❌	✅	6
Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction	✅	❌	✅	✅	✅	❌	✅	5
LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans	❌	✅	✅	✅	✅	❌	✅	5
LittleBit: Ultra Low-Bit Quantization via Latent Factorization	❌	✅	✅	✅	✅	❌	✅	5
LiveStar: Live Streaming Assistant for Real-World Online Video Understanding	✅	✅	✅	✅	✅	✅	✅	7
LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation	✅	✅	✅	✅	✅	✅	✅	7
LoRA vs Full Fine-tuning: An Illusion of Equivalence	✅	✅	✅	✅	✅	❌	✅	6
LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting	✅	✅	✅	✅	✅	❌	✅	6
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers	✅	✅	✅	❌	✅	✅	✅	6
LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades	✅	✅	✅	✅	✅	❌	✅	6
LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers	❌	✅	✅	✅	✅	❌	✅	5
LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation	✅	✅	✅	✅	✅	❌	✅	6
LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks	✅	✅	✅	✅	✅	✅	✅	7
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning	❌	✅	✅	✅	✅	❌	✅	5
LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space	✅	✅	✅	✅	✅	❌	✅	6
Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent	❌	❌	✅	❌	✅	❌	✅	3
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables	✅	✅	✅	❌	✅	❌	✅	5
Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling	✅	❌	✅	✅	✅	❌	✅	5
Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives	❌	❌	✅	✅	✅	❌	✅	4
Localist Topographic Expert Routing: A Barrel Cortex-Inspired Modular Network for Sensorimotor Processing	❌	✅	✅	✅	✅	❌	✅	5
Locality in Image Diffusion Models Emerges from Data Statistics	✅	✅	✅	❌	✅	❌	✅	5
Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms	✅	✅	✅	✅	✅	✅	✅	7
Localizing Knowledge in Diffusion Transformers	❌	✅	✅	✅	✅	❌	✅	5
Locally Optimal Private Sampling: Beyond the Global Minimax	❌	✅	❌	❌	✅	❌	✅	3
Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding	✅	✅	✅	✅	✅	✅	✅	7
Logic.py: Bridging the Gap between LLMs and Constraint Solvers	✅	✅	✅	✅	✅	❌	✅	6
LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data	✅	❌	✅	✅	❌	❌	✅	4
Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization	✅	✅	✅	❌	✅	❌	✅	5
Long-Tailed Recognition via Information-Preservable Two-Stage Learning	✅	✅	✅	✅	✅	❌	✅	6
Long-tailed Recognition with Model Rebalancing	✅	❌	✅	✅	✅	✅	✅	6
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions	✅	❌	✅	❌	✅	❌	✅	4
LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization	❌	✅	✅	✅	✅	❌	✅	5
Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning	❌	✅	✅	❌	✅	❌	✅	4
Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation	❌	✅	✅	✅	✅	❌	✅	5
Look-Ahead Reasoning on Learning Platforms	❌	✅	✅	❌	❌	❌	✅	3
LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision	❌	✅	✅	✅	✅	❌	✅	5
Lookahead Routing for Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection	✅	✅	✅	✅	✅	❌	✅	6
Looking Into the Water by Unsupervised Learning of the Surface Shape	❌	✅	✅	❌	❌	❌	✅	3
Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving	✅	✅	✅	❌	✅	❌	✅	5
Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant	✅	✅	✅	✅	✅	❌	✅	6
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation	❌	✅	✅	✅	✅	❌	✅	5
Lost in Transmission: When and Why LLMs Fail to Reason Globally	❌	✅	✅	❌	❌	✅	✅	4
Low Precision Streaming PCA	✅	✅	✅	❌	✅	❌	✅	5
Low Rank Gradients and Where to Find Them	❌	✅	✅	❌	✅	❌	✅	4
Low-Rank Graphon Learning for Networks	✅	✅	✅	❌	✅	❌	✅	5
Low-Rank Head Avatar Personalization with Registers	❌	❌	✅	✅	✅	❌	✅	4
Low-degree evidence for computational transition of recovery rate in stochastic block model	✅	❌	❌	❌	❌	❌	❌	1
Lua-LLM: Learning Unstructured-Sparsity Allocation for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement	✅	✅	✅	❌	✅	✅	✅	6
LuxDiT: Lighting Estimation with Video Diffusion Transformer	❌	❌	✅	✅	✅	❌	✅	4
Lyapunov-Stable Adaptive Control for Multimodal Concept Drift	✅	✅	✅	✅	✅	❌	✅	6
MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures	❌	✅	❌	✅	✅	❌	✅	4
MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series	❌	✅	✅	✅	✅	❌	✅	5
MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks	✅	❌	❌	✅	✅	❌	✅	4
MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning	✅	✅	✅	❌	✅	❌	✅	5
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning	❌	❌	✅	✅	✅	❌	✅	4
MAP Estimation with Denoisers: Convergence Rates and Guarantees	✅	✅	❌	❌	❌	❌	✅	3
MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification	✅	❌	✅	✅	✅	✅	✅	6
MARS: A Malignity-Aware Backdoor Defense in Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching	❌	✅	✅	✅	✅	❌	✅	5
MAT-Agent: Adaptive Multi-Agent Training Optimization	❌	❌	✅	✅	✅	❌	✅	4
MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation	❌	✅	✅	✅	✅	❌	✅	5
MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control	✅	✅	❌	❌	✅	❌	✅	4
MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification	❌	✅	✅	✅	✅	✅	✅	6
MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation	❌	✅	✅	✅	✅	❌	✅	5
MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs	❌	✅	✅	✅	✅	❌	✅	5
MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs	❌	✅	✅	❌	✅	❌	✅	4
MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query	❌	✅	✅	✅	✅	❌	✅	5
MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees	✅	✅	✅	❌	✅	✅	✅	6
MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation	❌	✅	✅	✅	✅	❌	✅	5
MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework	✅	✅	✅	✅	✅	✅	✅	7
MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction	✅	✅	✅	✅	✅	✅	✅	7
MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization	✅	✅	✅	✅	✅	❌	✅	6
MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs	✅	✅	✅	✅	✅	✅	✅	7
MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning	✅	✅	✅	✅	✅	❌	✅	6
MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction	❌	✅	✅	✅	✅	❌	✅	5
MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction	❌	✅	✅	❌	✅	❌	✅	4
MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging	✅	✅	✅	✅	❌	❌	✅	5
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning	❌	✅	✅	❌	❌	❌	✅	3
MIP against Agent: Malicious Image Patches Hijacking Multimodal OS Agents	❌	✅	✅	✅	✅	❌	✅	5
MIRA: Medical Time Series Foundation Model for Real-World Health Data	✅	✅	✅	✅	✅	❌	✅	6
MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM	❌	✅	✅	✅	✅	❌	✅	5
MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling	✅	✅	✅	✅	✅	❌	✅	6
MIX: A Multi-view Time-Frequency Interactive Explanation Framework for Time Series Classification	❌	✅	✅	✅	✅	❌	✅	5
MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference	❌	✅	✅	✅	❌	❌	✅	4
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement	✅	✅	✅	✅	✅	❌	✅	6
MLEP: Multi-granularity Local Entropy Patterns for Generalized AI-generated Image Detection	❌	✅	✅	❌	✅	❌	✅	4
MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation	❌	✅	✅	✅	✅	❌	✅	5
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation	✅	✅	✅	✅	✅	✅	✅	7
MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem	❌	✅	✅	✅	❌	❌	✅	4
MMaDA: Multimodal Large Diffusion Language Models	✅	✅	✅	✅	✅	❌	✅	6
MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions	✅	✅	✅	❌	✅	❌	✅	5
MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation	✅	✅	✅	✅	✅	✅	✅	7
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery	❌	❌	✅	✅	✅	❌	✅	4
MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks	❌	✅	✅	✅	✅	❌	✅	5
MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search	✅	✅	✅	❌	❌	❌	✅	4
MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning	❌	✅	✅	✅	✅	✅	✅	6
MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference	✅	✅	✅	❌	✅	✅	✅	6
MPMAvatar: Learning 3D Gaussian Avatars with Accurate and Robust Physics-Based Dynamics	✅	❌	✅	✅	✅	❌	✅	5
MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation	❌	❌	✅	✅	✅	✅	✅	5
MR. Video: MapReduce as an Effective Principle for Long Video Understanding	❌	✅	✅	✅	✅	❌	✅	5
MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization	✅	✅	✅	❌	❌	❌	✅	4
MS-BART: Unified Modeling of Mass Spectra and Molecules for Structure Elucidation	❌	✅	✅	✅	✅	❌	✅	5
MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild	✅	❌	✅	✅	✅	❌	✅	5
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling	❌	✅	✅	✅	✅	❌	✅	5
MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver	❌	✅	✅	✅	✅	❌	✅	5
MTRec: Learning to Align with User Preferences via Mental Reward Models	✅	❌	✅	❌	✅	❌	✅	4
MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks	✅	✅	✅	✅	✅	✅	✅	7
MUSTAFAR: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference	✅	✅	✅	✅	✅	❌	✅	6
MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation	❌	❌	✅	✅	✅	❌	✅	4
MVSMamba: Multi-View Stereo with State Space Model	❌	✅	✅	✅	✅	❌	✅	5
MaNGO — Adaptable Graph Network Simulators via Meta-Learning	❌	✅	✅	✅	✅	✅	✅	6
Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework	✅	✅	✅	✅	✅	❌	✅	6
Machine Unlearning under Overparameterization	✅	✅	✅	✅	✅	❌	✅	6
Machine Unlearning via Task Simplex Arithmetic	❌	❌	✅	❌	✅	❌	✅	3
MagCache: Fast Video Generation with Magnitude-Aware Cache	❌	✅	✅	❌	✅	❌	✅	4
Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation	❌	✅	✅	✅	✅	❌	✅	5
MaintainCoder: Maintainable Code Generation Under Dynamic Requirements	❌	✅	✅	✅	❌	❌	✅	4
Majority of the Bests: Improving Best-of-N via Bootstrapping	❌	✅	✅	✅	✅	❌	✅	5
Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction	✅	✅	✅	✅	✅	❌	✅	6
Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness–Generalization Perspective	❌	✅	✅	✅	❌	❌	✅	4
Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation	❌	✅	✅	✅	✅	✅	✅	6
Mamba Modulation: On the Length Generalization of Mamba Models	✅	✅	✅	❌	✅	✅	✅	6
Mamba Only Glances Once (MOGO): A Lightweight Framework for Efficient Video Action Detection	✅	✅	✅	✅	✅	❌	✅	6
Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space	✅	❌	✅	✅	✅	❌	✅	5
Manipulating Feature Visualizations with Gradient Slingshots	❌	✅	✅	✅	✅	❌	✅	5
Many LLMs Are More Utilitarian Than One	❌	✅	✅	❌	❌	✅	✅	4
Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation	❌	✅	✅	✅	✅	✅	✅	6
Marginal-Nonuniform PAC Learnability	❌	❌	❌	❌	❌	❌	❌	0
Markov Persuasion Processes: Learning to Persuade From Scratch	✅	❌	❌	❌	❌	❌	❌	1
Martingale Posterior Neural Networks for Fast Sequential Decision Making	✅	✅	✅	❌	✅	❌	✅	5
Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning	❌	✅	✅	❌	❌	❌	✅	3
Mask Image Watermarking	✅	✅	✅	✅	✅	❌	✅	6
Masked Diffusion Models as Energy Minimization	❌	❌	✅	✅	✅	❌	✅	4
Masked Gated Linear Unit	✅	❌	✅	❌	✅	❌	✅	4
Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences	✅	✅	✅	✅	✅	❌	✅	6
Matchings Under Biased and Correlated Evaluations	❌	✅	❌	❌	❌	❌	✅	2
MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference	❌	❌	✅	❌	❌	❌	✅	2
Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs	✅	✅	✅	✅	✅	❌	✅	6
Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise	✅	❌	❌	❌	❌	❌	✅	2
MaxSup: Overcoming Representation Collapse in Label Smoothing	✅	✅	✅	✅	❌	❌	✅	5
Maximizing the Value of Predictions in Control: Accuracy Is Not Enough	✅	✅	❌	✅	✅	❌	✅	5
MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization	✅	✅	✅	❌	✅	❌	✅	5
Mean Flows for One-step Generative Modeling	✅	✅	✅	✅	✅	❌	✅	6
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning	✅	✅	❌	❌	✅	❌	✅	4
Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning	✅	✅	✅	❌	✅	❌	✅	5
Measure-Theoretic Anti-Causal Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Measuring AI Ability to Complete Long Software Tasks	❌	✅	✅	❌	✅	❌	✅	4
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks	❌	✅	❌	✅	✅	❌	✅	4
Measuring and Guiding Monosemanticity	✅	✅	✅	❌	✅	❌	✅	5
Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models	❌	❌	✅	❌	❌	❌	✅	2
Mechanism Design for LLM Fine-tuning with Multiple Reward Models	❌	✅	✅	❌	❌	❌	✅	3
Mechanism Design via the Interim Relaxation	✅	❌	❌	❌	❌	❌	❌	1
Mechanistic Interpretability of RNNs emulating Hidden Markov Models	❌	✅	❌	❌	✅	❌	✅	3
Median Selection with Noisy and Structural Information	✅	✅	❌	❌	✅	✅	✅	5
Mellow: a small audio language model for reasoning	❌	❌	✅	✅	❌	❌	✅	3
MemEIC: A Step Toward Continual and Compositional Knowledge Editing	❌	✅	✅	✅	✅	❌	✅	5
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants	❌	✅	✅	❌	❌	❌	❌	2
Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Memorization in Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Memory Injection Attacks on LLM Agents via Query-Only Interaction	✅	❌	✅	✅	✅	❌	✅	5
Memory Mosaics at scale	❌	✅	✅	❌	✅	❌	✅	4
Memory by accident: a theory of learning as a byproduct of network stabilization	❌	✅	✅	❌	❌	❌	✅	3
Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains	❌	✅	✅	❌	✅	✅	✅	5
Memory-Efficient Training with In-Place FFT Implementation	❌	✅	✅	✅	✅	❌	✅	5
Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression	❌	✅	✅	✅	✅	❌	✅	5
Memory-Enhanced Neural Solvers for Routing Problems	✅	✅	✅	✅	✅	❌	✅	6
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks	✅	❌	✅	✅	✅	❌	✅	5
Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging	✅	✅	✅	✅	✅	✅	✅	7
MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning	❌	❌	❌	✅	✅	✅	✅	4
Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting	❌	✅	✅	✅	✅	❌	✅	5
Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning	❌	❌	✅	✅	✅	❌	✅	4
MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds	❌	❌	✅	✅	✅	❌	✅	4
Meta CLIP 2: A Worldwide Scaling Recipe	✅	✅	✅	✅	❌	❌	✅	5
Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers	❌	✅	✅	✅	✅	❌	✅	5
Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data	✅	❌	✅	✅	✅	❌	✅	5
Meta-Learning Objectives for Preference Optimization	❌	✅	✅	❌	✅	❌	✅	4
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex	❌	✅	✅	✅	✅	❌	✅	5
Meta-learning how to Share Credit among Macro-Actions	✅	✅	✅	❌	✅	❌	✅	5
MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation	✅	✅	✅	❌	✅	❌	✅	5
MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene Generation	✅	❌	✅	✅	❌	❌	✅	4
MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting	✅	✅	✅	✅	✅	❌	✅	6
MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts	✅	❌	❌	✅	✅	❌	✅	4
MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems	✅	✅	✅	✅	✅	✅	✅	7
MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning	✅	✅	✅	❌	✅	❌	✅	5
Metis: A Foundation Speech Generation Model with Masked Generative Pre-training	❌	✅	✅	✅	✅	❌	✅	5
Metric Automata Theory: A Unifying Theory of RNNs	❌	✅	✅	❌	❌	❌	❌	2
Metritocracy: Representative Metrics for Lite Benchmarks	✅	✅	✅	❌	✅	❌	✅	5
Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo	✅	✅	✅	❌	✅	❌	✅	5
Metropolis-Hastings Sampling for 3D Gaussian Reconstruction	✅	✅	✅	✅	✅	❌	✅	6
MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D Scans	❌	❌	✅	✅	❌	❌	✅	3
MiCo: Multi-image Contrast for Reinforcement Visual Reasoning	✅	❌	✅	❌	✅	❌	✅	4
MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions	✅	✅	✅	✅	✅	❌	✅	6
Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning	❌	❌	✅	❌	✅	❌	✅	3
Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning	❌	❌	✅	✅	✅	❌	✅	4
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks	✅	✅	✅	✅	✅	❌	✅	6
Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules	❌	✅	✅	✅	✅	✅	✅	6
Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation	❌	✅	✅	✅	✅	❌	✅	5
MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural Learning	❌	✅	✅	❌	❌	❌	✅	3
MindJourney: Test-Time Scaling with World Models for Spatial Reasoning	✅	❌	✅	❌	✅	❌	✅	4
MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO	❌	✅	✅	✅	❌	❌	✅	4
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal	✅	✅	✅	❌	✅	❌	✅	5
Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization	❌	❌	✅	✅	✅	❌	✅	4
Minimax Adaptive Online Nonparametric Regression over Besov spaces	✅	❌	❌	❌	❌	❌	❌	1
Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap	❌	✅	❌	❌	✅	❌	✅	3
Minimizing False-Positive Attributions in Explanations of Non-Linear Models	❌	✅	✅	✅	✅	✅	✅	6
Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach	❌	❌	❌	❌	❌	❌	❌	0
Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions	❌	✅	✅	✅	✅	❌	✅	5
MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations	✅	✅	✅	✅	✅	❌	✅	6
Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities	✅	❌	✅	✅	✅	❌	✅	5
Missing Data Imputation by Reducing Mutual Information with Rectified Flows	✅	✅	✅	❌	✅	❌	❌	4
Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning	❌	✅	✅	✅	✅	❌	✅	5
Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization	❌	✅	✅	❌	✅	❌	✅	4
Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering	❌	✅	✅	✅	✅	❌	✅	5
Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics	✅	✅	✅	✅	✅	❌	✅	6
Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models	❌	✅	✅	❌	✅	❌	✅	4
Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework	✅	✅	✅	✅	✅	✅	✅	7
Mitigating Overthinking in Large Reasoning Models via Manifold Steering	❌	✅	✅	✅	✅	❌	✅	5
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling	❌	✅	✅	❌	✅	❌	✅	4
Mitigating Semantic Collapse in Partially Relevant Video Retrieval	✅	✅	✅	✅	✅	❌	✅	6
Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models	✅	✅	✅	❌	✅	✅	✅	6
Mitigating Spurious Features in Contrastive Learning with Spectral Regularization	✅	✅	✅	✅	✅	❌	✅	6
Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy	✅	✅	✅	✅	❌	❌	✅	5
Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models	✅	❌	✅	✅	✅	❌	✅	5
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging	✅	❌	✅	❌	✅	❌	✅	4
MixAT: Combining Continuous and Discrete Adversarial Training for LLMs	❌	✅	✅	✅	✅	❌	✅	5
MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation	✅	✅	✅	✅	✅	❌	✅	6
MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes	❌	✅	✅	✅	✅	✅	✅	6
Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning	✅	❌	✅	✅	✅	❌	✅	5
Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go	❌	❌	✅	❌	✅	❌	✅	3
Mixture of Inputs: Text Generation Beyond Discrete Token Sampling	✅	✅	✅	✅	❌	❌	✅	5
Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning	✅	✅	✅	✅	✅	❌	✅	6
Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants	❌	✅	✅	✅	✅	✅	✅	6
Mixture-of-Experts Meets In-Context Reinforcement Learning	✅	✅	❌	✅	✅	❌	✅	5
Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training	❌	✅	✅	✅	✅	❌	✅	5
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation	❌	✅	✅	✅	✅	❌	✅	5
Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training	✅	✅	✅	✅	✅	❌	✅	6
MoBA: Mixture of Block Attention for Long-Context LLMs	✅	✅	❌	❌	✅	❌	✅	4
MoCha: Towards Movie-Grade Talking Character Generation	❌	❌	✅	❌	✅	❌	✅	3
MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes	✅	✅	✅	✅	✅	❌	✅	6
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning	✅	✅	✅	✅	✅	❌	✅	6
MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE	✅	✅	✅	❌	✅	❌	✅	5
MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling	❌	✅	✅	✅	✅	✅	✅	6
MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details	❌	✅	✅	❌	✅	❌	✅	4
MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition	❌	❌	✅	✅	✅	❌	✅	4
MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation	❌	✅	✅	✅	✅	❌	✅	5
MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition	❌	❌	✅	✅	✅	❌	✅	4
MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding	❌	✅	✅	✅	❌	❌	✅	4
MoRIC: A Modular Region-based Implicit Codec for Image Compression	✅	✅	✅	❌	✅	✅	✅	6
MobileODE: An Extra Lightweight Network	✅	✅	✅	✅	✅	❌	✅	6
MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation	❌	✅	✅	✅	✅	❌	✅	5
ModHiFi: Identifying High Fidelity predictive components for Model Modification	✅	✅	✅	✅	✅	✅	✅	7
Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning	✅	❌	✅	❌	❌	❌	✅	3
Model Editing for Vision Transformers	✅	✅	✅	✅	✅	❌	✅	6
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Model Merging in Pre-training of Large Language Models	❌	❌	❌	❌	✅	❌	✅	2
Model Provenance Testing for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming	✅	✅	✅	❌	✅	❌	✅	5
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol	❌	✅	✅	✅	✅	❌	✅	5
Model-Based Policy Adaptation for Closed-Loop End-to-end Autonomous Driving	✅	✅	✅	✅	✅	❌	✅	6
Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation	❌	✅	✅	✅	✅	❌	✅	5
Model-Informed Flows for Bayesian Inference	✅	✅	✅	❌	✅	❌	✅	5
Modeling Cell Dynamics and Interactions with Unbalanced Mean Field Schrödinger Bridge	✅	✅	✅	✅	✅	❌	✅	6
Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors	❌	✅	✅	✅	✅	❌	✅	5
Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow	✅	✅	✅	❌	✅	❌	✅	5
Modeling Neural Activity with Conditionally Linear Dynamical Systems	❌	✅	✅	✅	✅	❌	✅	5
Modeling the Economic Impacts of AI Openness Regulation	❌	✅	✅	❌	✅	❌	✅	4
Modelling the control of offline processing with reinforcement learning	❌	✅	✅	❌	✅	❌	✅	4
Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One	❌	✅	✅	✅	✅	❌	✅	5
MokA: Multimodal Low-Rank Adaptation for MLLMs	❌	✅	✅	✅	❌	❌	✅	4
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model	❌	✅	✅	✅	✅	✅	✅	6
MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges	❌	❌	✅	✅	✅	❌	✅	4
Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models	❌	❌	✅	✅	✅	❌	✅	4
Momentum Multi-Marginal Schrödinger Bridge Matching	✅	❌	✅	✅	✅	❌	✅	5
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead	✅	✅	✅	✅	✅	❌	✅	6
MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention	✅	✅	✅	✅	✅	❌	✅	6
MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection	❌	✅	✅	❌	✅	❌	✅	4
Monitoring Risks in Test-Time Adaptation	✅	✅	✅	✅	✅	❌	✅	6
MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation	❌	❌	✅	❌	❌	❌	❌	1
Monoculture or Multiplicity: Which Is It?	❌	✅	✅	✅	✅	❌	✅	5
Monotone and Separable Set Functions: Characterizations and Neural Models	❌	✅	✅	✅	✅	❌	✅	5
MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis	❌	✅	✅	✅	✅	✅	✅	6
MoonCast: High-Quality Zero-Shot Podcast Generation	❌	✅	❌	❌	✅	❌	✅	3
More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation	❌	✅	✅	❌	✅	❌	✅	4
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models	❌	✅	✅	❌	❌	❌	✅	3
More of the Same: Persistent Representational Harms Under Increased Representation	✅	✅	✅	❌	❌	❌	✅	4
Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction	❌	❌	✅	✅	✅	❌	✅	4
Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding	❌	✅	✅	✅	❌	❌	✅	4
MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation	❌	✅	✅	✅	✅	❌	✅	5
MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation	❌	❌	✅	✅	✅	❌	✅	4
Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures	✅	✅	✅	❌	✅	❌	✅	5
MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining	❌	✅	✅	✅	✅	❌	✅	5
MuSLR: Multimodal Symbolic Logical Reasoning	✅	✅	✅	❌	❌	❌	✅	4
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search	✅	✅	✅	❌	✅	❌	✅	5
Multi-Agent Collaboration via Evolving Orchestration	❌	✅	✅	❌	✅	❌	✅	4
Multi-Agent Debate for LLM Judges with Adaptive Stability Detection	✅	❌	✅	❌	✅	❌	✅	4
Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function	✅	✅	✅	❌	✅	✅	✅	6
Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration	❌	✅	❌	❌	❌	❌	✅	2
Multi-Agent Reinforcement Learning with Communication-Constrained Priors	✅	❌	✅	❌	✅	❌	✅	4
Multi-Class Support Vector Machine with Differential Privacy	❌	✅	✅	❌	✅	❌	✅	4
Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability	✅	✅	✅	❌	✅	✅	✅	6
Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization	✅	✅	✅	✅	❌	❌	✅	5
Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration	❌	✅	✅	✅	❌	❌	✅	4
Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond	✅	❌	✅	✅	✅	❌	✅	5
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting	✅	✅	✅	✅	✅	✅	✅	7
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs	✅	✅	✅	✅	✅	❌	✅	6
Multi-Objective One-Shot Pruning for Large Language Models	✅	❌	✅	✅	✅	✅	✅	6
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach	✅	✅	✅	✅	✅	❌	✅	6
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP	❌	✅	✅	✅	✅	❌	✅	5
Multi-Token Prediction Needs Registers	❌	✅	✅	✅	✅	❌	✅	5
Multi-View Oriented GPLVM: Expressiveness and Efficiency	✅	✅	✅	✅	✅	❌	✅	6
Multi-agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game	❌	✅	✅	✅	✅	❌	✅	5
Multi-agent Markov Entanglement	✅	✅	✅	✅	✅	❌	✅	6
Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing	❌	✅	✅	✅	✅	✅	✅	6
Multi-head Temporal Latent Attention	❌	✅	✅	✅	✅	❌	✅	5
Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent	❌	❌	❌	✅	✅	❌	✅	3
Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables	❌	✅	✅	✅	❌	❌	✅	4
Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning	❌	✅	✅	✅	✅	✅	✅	6
Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration	❌	✅	✅	✅	✅	✅	✅	6
Multi-step Visual Reasoning with Visual Tokens Scaling and Verification	✅	✅	✅	❌	✅	❌	✅	5
MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification	❌	✅	✅	✅	✅	❌	✅	5
MultiScale Contextual Bandits for Long Term Objectives	✅	✅	✅	✅	✅	❌	✅	6
Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification	❌	❌	❌	❌	❌	❌	❌	0
Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare	✅	❌	❌	❌	❌	❌	❌	1
Multilevel neural simulation-based inference	✅	✅	✅	✅	✅	❌	✅	6
Multimodal 3D Genome Pre-training	❌	✅	✅	✅	✅	❌	✅	5
Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms	✅	✅	❌	❌	✅	✅	✅	5
Multimodal Causal Reasoning for UAV Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment	❌	✅	✅	✅	✅	✅	✅	6
Multimodal LiDAR-Camera Novel View Synthesis with Unified Pose-free Neural Fields	❌	✅	✅	❌	✅	❌	✅	4
Multimodal Negative Learning	✅	✅	✅	✅	✅	❌	✅	6
Multimodal Tabular Reasoning with Privileged Structured Information	❌	✅	✅	✅	✅	❌	✅	5
Multiplayer Federated Learning: Reaching Equilibrium with Less Communication	✅	✅	❌	❌	✅	❌	✅	4
Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics	✅	✅	✅	✅	✅	❌	✅	6
Multipole Attention for Efficient Long Context Reasoning	❌	✅	✅	✅	✅	❌	✅	5
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks	✅	✅	✅	❌	✅	❌	✅	5
Multiscale guidance of protein structure prediction with heterogeneous cryo-EM data	❌	❌	✅	❌	✅	❌	✅	3
Multitask Learning with Stochastic Interpolants	✅	✅	✅	✅	✅	❌	✅	6
Multivariate Latent Recalibration for Conditional Normalizing Flows	✅	✅	✅	✅	✅	❌	✅	6
Multivariate Time Series Anomaly Detection with Idempotent Reconstruction	✅	✅	✅	❌	✅	✅	✅	6
Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation	❌	✅	✅	❌	✅	❌	✅	4
MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering	❌	✅	✅	✅	✅	❌	✅	5
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection	❌	❌	✅	✅	✅	❌	✅	4
NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding	❌	✅	✅	✅	✅	❌	✅	5
NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals	✅	❌	✅	✅	✅	❌	✅	5
NEP: Autoregressive Image Editing via Next Editing Token Prediction	❌	❌	✅	✅	✅	❌	✅	4
NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering	❌	✅	✅	✅	✅	❌	✅	5
NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting	❌	❌	✅	❌	✅	❌	✅	3
NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models	❌	✅	❌	✅	✅	❌	✅	4
NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems	✅	✅	✅	✅	✅	❌	✅	6
NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache	✅	✅	✅	✅	✅	❌	✅	6
NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective	✅	✅	✅	❌	✅	❌	✅	5
NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling	❌	✅	✅	✅	✅	✅	✅	6
NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data	✅	✅	✅	✅	✅	❌	✅	6
NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints	❌	✅	✅	❌	❌	❌	✅	3
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards	✅	✅	✅	✅	✅	❌	✅	6
Native Segmentation Vision Transformers	✅	❌	✅	✅	✅	❌	✅	5
Native-Resolution Image Synthesis	✅	❌	✅	✅	✅	❌	✅	5
Natural Gradient VI: Guarantees for Non-Conjugate Models	✅	❌	✅	❌	✅	❌	✅	4
NavBench: Probing Multimodal Large Language Models for Embodied Navigation	❌	✅	✅	✅	✅	❌	✅	5
Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification	✅	✅	✅	✅	✅	✅	✅	7
NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning	✅	✅	✅	✅	❌	❌	❌	4
Near-Exponential Savings for Population Mean Estimation with Active Learning	✅	✅	❌	❌	❌	❌	✅	3
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models	❌	✅	❌	❌	✅	❌	✅	3
Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games	✅	❌	❌	❌	❌	❌	❌	1
Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets	✅	✅	❌	❌	✅	❌	✅	4
Near-Optimal Sample Complexity for Online Constrained MDPs	✅	❌	❌	❌	❌	❌	❌	1
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference	❌	❌	❌	❌	❌	❌	❌	0
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor	✅	❌	❌	❌	❌	❌	❌	1
Nearly-Linear Time and Massively Parallel Algorithms for $k$-anonymity	✅	✅	✅	❌	✅	❌	❌	4
NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables	❌	✅	✅	✅	✅	❌	✅	5
Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation	✅	✅	✅	✅	✅	❌	✅	6
NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception	❌	✅	✅	❌	✅	❌	✅	4
Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations	✅	✅	✅	✅	✅	❌	✅	6
Neighborhood Self-Dissimilarity Attention for Medical Image Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models	✅	❌	✅	❌	✅	❌	✅	4
Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection	✅	✅	✅	✅	✅	✅	✅	7
Nested Learning: The Illusion of Deep Learning Architectures	❌	❌	✅	❌	✅	❌	✅	3
NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs	✅	✅	✅	❌	✅	✅	✅	6
Network two-sample test for block models	✅	✅	✅	❌	✅	❌	✅	5
NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference	✅	✅	✅	✅	✅	❌	✅	6
NeurIPT: Foundation Model for Neural Interfaces	❌	✅	✅	✅	✅	✅	✅	6
Neural Atlas Graphs for Dynamic Scene Decomposition and Editing	❌	✅	✅	✅	❌	❌	✅	4
Neural Attention Search	✅	✅	✅	✅	✅	❌	✅	6
Neural B-frame Video Compression with Bi-directional Reference Harmonization	❌	✅	✅	✅	✅	❌	✅	5
Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model	❌	✅	✅	✅	✅	❌	✅	5
Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers	❌	❌	✅	❌	❌	❌	✅	2
Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data	❌	✅	✅	❌	❌	❌	✅	3
Neural Combinatorial Optimization for Time-Dependent Traveling Salesman Problem	✅	✅	✅	✅	✅	❌	✅	6
Neural Correlates of Serial Dependence: Synaptic Short-term Plasticity Orchestrates Repulsion and Attraction	❌	❌	❌	❌	✅	✅	✅	3
Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data	❌	✅	❌	✅	✅	❌	✅	4
Neural Entropy	❌	✅	✅	❌	✅	❌	✅	4
Neural Evolution Strategy for Black-box Pareto Set Learning	✅	✅	✅	✅	❌	❌	✅	5
Neural Fractional Attention Differential Equations	❌	✅	✅	✅	✅	❌	✅	5
Neural Green’s Functions	❌	❌	✅	✅	✅	❌	✅	4
Neural Hamiltonian Diffusions for Modeling Structured Geometric Dynamics	✅	❌	✅	✅	✅	✅	✅	6
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction	✅	✅	✅	✅	✅	❌	✅	6
Neural Mutual Information Estimation with Vector Copulas	✅	✅	✅	❌	❌	❌	✅	4
Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data	❌	✅	✅	✅	✅	❌	✅	5
Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go	❌	✅	✅	✅	✅	❌	✅	5
Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions	✅	❌	✅	✅	✅	❌	✅	5
Neural Tangent Knowledge Distillation for Optical Convolutional Networks	❌	❌	✅	✅	❌	❌	✅	3
Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning	❌	❌	✅	✅	❌	❌	✅	3
Neural-Driven Image Editing	❌	✅	✅	✅	✅	❌	✅	5
NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models	✅	❌	✅	✅	✅	✅	✅	6
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification	✅	✅	✅	✅	✅	✅	✅	7
Neuro-Spectral Architectures for Causal Physics-Informed Networks	✅	✅	✅	❌	✅	✅	✅	6
NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge	❌	✅	✅	❌	✅	❌	✅	4
NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis	❌	✅	✅	✅	✅	❌	✅	5
NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval	✅	✅	✅	✅	✅	❌	✅	6
Neurons as Detectors of Coherent Sets in Sensory Dynamics	✅	❌	❌	❌	✅	❌	✅	3
Neurosymbolic Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
New Parallel and Streaming Algorithms for Directed Densest Subgraph	✅	✅	✅	❌	✅	❌	✅	5
New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results	✅	❌	❌	❌	❌	❌	❌	1
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models	✅	✅	✅	✅	✅	❌	✅	6
No Experts, No Problem: Avoidance Learning from Bad Demonstrations	✅	✅	✅	✅	✅	✅	✅	7
No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization	✅	✅	✅	✅	❌	❌	✅	5
No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models	❌	✅	✅	✅	✅	✅	✅	6
No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!	✅	❌	❌	❌	❌	❌	❌	1
No-Regret Online Autobidding Algorithms in First-price Auctions	✅	❌	❌	❌	❌	❌	❌	1
No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes	✅	✅	❌	❌	✅	❌	✅	4
NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs without Human Poses	❌	❌	✅	✅	✅	❌	✅	4
Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls	✅	❌	❌	❌	❌	❌	✅	2
Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models	❌	✅	✅	✅	✅	❌	✅	5
Noise Matters: Optimizing Matching Noise for Diffusion Classifiers	❌	✅	✅	✅	✅	❌	✅	5
Noise-Robustness Through Noise: A Framework combining Asymmetric LoRA with Poisoning MoE	❌	✅	✅	✅	✅	✅	✅	6
Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion	✅	✅	✅	✅	✅	❌	✅	6
NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation	❌	✅	✅	❌	✅	❌	✅	4
NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation	✅	✅	✅	❌	✅	❌	✅	5
Non-Adaptive Adversarial Face Generation	✅	❌	✅	✅	✅	❌	✅	5
Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation	❌	❌	✅	❌	❌	❌	✅	2
Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes	✅	❌	❌	❌	❌	❌	❌	1
Non-Clairvoyant Scheduling with Progress Bars	✅	✅	❌	❌	❌	❌	✅	3
Non-Convex Tensor Recovery from Tube-Wise Sensing	✅	✅	❌	❌	✅	✅	✅	5
Non-Line-of-Sight 3D Reconstruction with Radar	❌	❌	❌	✅	✅	❌	✅	3
Non-Markovian Discrete Diffusion with Causal Language Models	✅	❌	✅	✅	✅	❌	✅	5
Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations	❌	✅	❌	❌	❌	❌	✅	2
Non-Stationary Lipschitz Bandits	✅	✅	❌	❌	❌	❌	✅	3
Non-Stationary Structural Causal Bandits	✅	✅	❌	❌	✅	❌	✅	4
Non-Uniform Multiclass Learning with Bandit Feedback	✅	❌	❌	❌	❌	❌	❌	1
Non-convex entropic mean-field optimization via Best Response flow	✅	❌	❌	❌	❌	❌	❌	1
Non-equilibrium Annealed Adjoint Sampler	✅	❌	✅	❌	✅	❌	✅	4
Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shift with Unlabeled Data	✅	❌	✅	✅	❌	❌	✅	4
Non-monotone Submodular Optimization: $p$-Matchoid Constraints and Fully Dynamic Setting	✅	❌	❌	❌	❌	❌	❌	1
Non-rectangular Robust MDPs with Normed Uncertainty Sets	✅	✅	❌	❌	✅	❌	✅	4
Non-stationary Bandit Convex Optimization: A Comprehensive Study	✅	❌	❌	❌	❌	❌	❌	1
Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation	❌	✅	✅	✅	✅	✅	✅	6
Nonlinear Laplacians: Tunable principal component analysis under directional prior information	❌	✅	❌	✅	✅	❌	✅	4
Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis	✅	✅	✅	❌	✅	❌	✅	5
Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks	❌	❌	✅	✅	❌	❌	✅	3
NopeRoomGS: Indoor 3D Gaussian Splatting Optimization without Camera Pose Input	❌	❌	✅	❌	❌	❌	❌	1
NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data	❌	✅	✅	✅	✅	❌	✅	5
Normal-Abnormal Guided Generalist Anomaly Detection	❌	✅	✅	✅	✅	✅	✅	6
Normalization in Attention Dynamics	❌	❌	❌	❌	❌	❌	❌	0
Normalize Filters! Classical Wisdom for Deep Vision	❌	✅	✅	✅	✅	❌	✅	5
Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Normalizing Flows are Capable Models for Continuous Control	❌	✅	✅	❌	✅	❌	✅	4
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning	❌	❌	✅	✅	❌	❌	✅	3
Novel Exploration via Orthogonality	✅	✅	❌	❌	✅	❌	✅	4
Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion	❌	❌	✅	✅	❌	❌	✅	3
Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning	❌	✅	✅	❌	✅	❌	✅	4
OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration	❌	✅	✅	✅	✅	✅	✅	6
OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction	✅	✅	✅	✅	✅	❌	✅	6
OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement	✅	✅	❌	✅	✅	❌	✅	5
ODG: Occupancy Prediction Using Dual Gaussians	✅	❌	✅	✅	✅	❌	✅	5
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain	❌	✅	✅	✅	✅	✅	✅	6
OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states	❌	✅	❌	✅	✅	❌	✅	4
OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models	❌	✅	✅	✅	✅	❌	✅	5
OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information	❌	❌	✅	✅	✅	❌	✅	4
OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization	✅	✅	✅	✅	✅	✅	✅	7
ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints	❌	✅	✅	❌	✅	❌	✅	4
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation	✅	❌	✅	❌	✅	❌	✅	4
OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates	✅	✅	✅	✅	✅	❌	✅	6
OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation	❌	✅	✅	✅	✅	❌	✅	5
OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance	✅	✅	✅	✅	✅	❌	✅	6
OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation	❌	✅	✅	✅	✅	❌	✅	5
OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation	✅	✅	✅	✅	✅	❌	✅	6
OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation	✅	✅	✅	✅	✅	❌	✅	6
OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis	❌	✅	✅	✅	✅	❌	✅	5
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation	✅	❌	✅	✅	✅	❌	✅	5
Object Concepts Emerge from Motion	✅	✅	✅	✅	❌	❌	✅	5
Object-Centric Concept-Bottlenecks	✅	✅	✅	✅	✅	❌	✅	6
Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction	❌	✅	✅	✅	✅	✅	✅	6
Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations	❌	✅	✅	✅	✅	❌	✅	5
Object-centric 3D Motion Field for Robot Learning from Human Videos	❌	❌	✅	❌	✅	❌	✅	3
Object-centric binding in Contrastive Language-Image Pretraining	✅	❌	✅	❌	✅	❌	✅	4
Objective Soups: Multilingual Multi-Task Modeling for Speech Processing	✅	✅	✅	✅	✅	❌	✅	6
Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure	✅	❌	✅	✅	✅	❌	✅	5
Off-policy Reinforcement Learning with Model-based Exploration Augmentation	✅	❌	✅	❌	✅	❌	✅	4
Offline Actor-Critic for Average Reward MDPs	✅	❌	❌	❌	❌	❌	❌	1
Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations	✅	✅	✅	✅	✅	❌	✅	6
Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies	✅	✅	✅	✅	✅	❌	✅	6
Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization	✅	❌	✅	✅	❌	❌	✅	4
Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation	✅	✅	✅	✅	✅	❌	✅	6
Omni-Mol: Multitask Molecular Model for Any-to-any Modalities	❌	✅	✅	✅	✅	✅	✅	6
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration	❌	✅	✅	✅	❌	✅	✅	5
OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales	❌	✅	✅	✅	✅	❌	✅	5
OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data	❌	✅	❌	❌	❌	✅	✅	3
OmniDraft: A cross-vocabulary, online adaptive drafter for on-device speculative decoding	✅	❌	✅	✅	✅	✅	✅	6
OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction	✅	❌	✅	✅	✅	✅	✅	6
OmniGaze: Reward-inspired Generalizable Gaze Estimation in the Wild	✅	✅	✅	✅	✅	❌	✅	6
OmniGen-AR: AutoRegressive Any-to-Image Generation	❌	❌	✅	✅	✅	✅	✅	5
OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions	❌	❌	❌	❌	✅	❌	✅	2
OmniSVG: A Unified Scalable Vector Graphics Generation Model	❌	✅	✅	✅	❌	❌	✅	4
OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers	❌	❌	✅	❌	✅	❌	✅	3
OmniTalker: One-shot Real-time Text-Driven Talking Audio-Video Generation With Multimodal Style Mimicking	❌	❌	✅	✅	✅	❌	✅	4
OmniTry: Virtual Try-On Anything without Masks	❌	✅	✅	✅	✅	❌	✅	5
OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions	❌	❌	✅	❌	✅	❌	✅	3
OmniZoom: A Universal Plug-and-Play Paradigm for Cross-Device Smooth Zoom Interpolation	❌	❌	✅	✅	❌	❌	✅	3
Omnidirectional 3D Scene Reconstruction from Single Image	❌	❌	✅	✅	✅	❌	✅	4
Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization	❌	✅	✅	✅	✅	❌	✅	5
On Agnostic PAC Learning in the Small Error Regime	✅	❌	❌	❌	❌	❌	❌	1
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders	✅	✅	✅	✅	✅	✅	✅	7
On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
On Evaluating LLM Alignment by Evaluating LLMs as Judges	❌	✅	✅	❌	❌	❌	✅	3
On Evaluating Policies for Robust POMDPs	❌	✅	✅	❌	✅	✅	✅	5
On Extending Direct Preference Optimization to Accommodate Ties	❌	✅	✅	✅	✅	❌	✅	5
On Fairness of Unified Multimodal Large Language Model for Image Generation	✅	❌	✅	✅	✅	❌	✅	5
On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation	❌	✅	✅	✅	✅	❌	✅	5
On Group Sufficiency Under Label Bias	✅	✅	✅	✅	❌	❌	✅	5
On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness	✅	❌	❌	❌	❌	❌	❌	1
On Inductive Biases That Enable Generalization in Diffusion Transformers	❌	✅	✅	✅	✅	❌	✅	5
On Learning Verifiers and Implications to Chain-of-Thought Reasoning	✅	❌	❌	❌	❌	❌	❌	1
On Linear Mode Connectivity of Mixture-of-Experts Architectures	✅	✅	✅	✅	✅	❌	✅	6
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model	❌	❌	❌	❌	❌	❌	❌	0
On Logic-based Self-Explainable Graph Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts	❌	❌	❌	❌	✅	❌	✅	2
On Optimal Steering to Achieve Exact Fairness	❌	✅	✅	✅	❌	❌	✅	4
On Reasoning Strength Planning in Large Reasoning Models	❌	✅	✅	✅	✅	❌	✅	5
On Traceability in $\ell_p$ Stochastic Convex Optimization	❌	❌	❌	❌	❌	❌	❌	0
On Transferring Transferability: Towards a Theory for Size Generalization	❌	✅	✅	✅	✅	❌	✅	5
On Union-Closedness of Language Generation	❌	❌	❌	❌	❌	❌	❌	0
On Universality Classes of Equivariant Networks	❌	❌	❌	❌	❌	❌	❌	0
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning	❌	✅	✅	✅	✅	❌	✅	5
On scalable and efficient training of diffusion samplers	✅	✅	✅	❌	❌	❌	✅	4
On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm	✅	✅	✅	✅	✅	❌	✅	6
On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study	✅	✅	✅	✅	✅	❌	✅	6
On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity	✅	✅	✅	✅	✅	❌	✅	6
On the Coexistence and Ensembling of Watermarks	✅	❌	❌	❌	❌	❌	✅	2
On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization	❌	✅	❌	❌	✅	✅	✅	4
On the Convergence of Single-Timescale Actor-Critic	✅	✅	❌	❌	❌	❌	✅	3
On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent	✅	❌	✅	✅	❌	❌	✅	4
On the Edge of Memorization in Diffusion Models	❌	✅	✅	❌	✅	✅	✅	5
On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization	✅	❌	✅	✅	✅	❌	✅	5
On the Emergence of Linear Analogies in Word Embeddings	❌	✅	✅	❌	✅	❌	✅	4
On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection	✅	✅	✅	❌	✅	❌	✅	5
On the Entropy Calibration of Language Models	✅	✅	✅	❌	✅	❌	✅	5
On the Existence and Complexity of Core-Stable Data Exchanges	✅	✅	✅	✅	✅	✅	✅	7
On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks	❌	❌	❌	❌	✅	❌	✅	2
On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
On the Hardness of Approximating Distributions with Tractable Probabilistic Models	❌	❌	❌	❌	❌	❌	❌	0
On the Hardness of Conditional Independence Testing In Practice	❌	✅	✅	✅	❌	❌	✅	4
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting	✅	✅	✅	❌	✅	✅	✅	6
On the Loss of Context Awareness in General Instruction Fine-tuning	❌	✅	✅	❌	✅	❌	✅	4
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective	❌	❌	❌	❌	❌	❌	✅	1
On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization	❌	✅	✅	❌	✅	❌	✅	4
On the Optimality of the Median-of-Means Estimator under Adversarial Contamination	❌	❌	✅	❌	❌	❌	✅	2
On the Relation between Rectified Flows and Optimal Transport	❌	❌	❌	❌	❌	❌	✅	1
On the Robustness of Transformers against Context Hijacking for Linear Classification	❌	❌	✅	❌	✅	❌	✅	3
On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks	✅	❌	✅	✅	❌	❌	✅	4
On the Role of Hidden States of Modern Hopfield Network in Transformer	❌	❌	✅	✅	✅	❌	✅	4
On the SAC-BL Algorithm for Anomaly Detection	✅	❌	✅	✅	✅	❌	✅	5
On the Sample Complexity Bounds of Bilevel Reinforcement Learning	✅	✅	✅	❌	✅	❌	❌	4
On the Sample Complexity of Differentially Private Policy Optimization	✅	❌	✅	❌	❌	❌	✅	3
On the Stability and Generalization of Meta-Learning: the Impact of Inner-Levels	✅	❌	✅	✅	❌	❌	✅	4
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective	✅	✅	✅	✅	✅	❌	✅	6
On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling	❌	✅	✅	✅	✅	❌	✅	5
On the Universal Near Optimality of Hedge in Combinatorial Settings	❌	❌	❌	❌	❌	❌	❌	0
On the VC dimension of deep group convolutional neural networks	❌	❌	❌	❌	❌	❌	❌	0
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning	❌	✅	✅	✅	✅	✅	✅	6
On the creation of narrow AI: hierarchy and nonlocality of neural network skills	❌	✅	✅	✅	✅	❌	✅	5
On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls	❌	✅	❌	❌	❌	❌	✅	2
On the rankability of visual embeddings	❌	✅	✅	✅	✅	❌	✅	5
On the sample complexity of semi-supervised multi-objective learning	✅	❌	❌	❌	✅	❌	✅	3
On topological descriptors for graph products	✅	✅	✅	✅	✅	✅	✅	7
On-Policy Optimization with Group Equivalent Preference for Multi-Programming Language Understanding	❌	❌	✅	❌	✅	❌	✅	3
Once Upon an Input: Reasoning via Per-Instance Program Synthesis	✅	✅	✅	✅	✅	❌	✅	6
One Filters All: A Generalist Filter For State Estimation	❌	✅	✅	✅	✅	✅	✅	6
One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head	❌	✅	✅	❌	✅	❌	✅	4
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models	❌	✅	✅	✅	✅	❌	✅	5
One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs	❌	✅	✅	✅	❌	❌	✅	4
One Sample is Enough to Make Conformal Prediction Robust	✅	✅	✅	✅	✅	❌	✅	6
One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting	✅	✅	✅	❌	✅	❌	✅	5
One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
One Token Embedding Is Enough to Deadlock Your Large Reasoning Model	❌	❌	✅	✅	❌	❌	✅	3
One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding	✅	✅	✅	❌	✅	❌	✅	5
One for All: Universal Topological Primitive Transfer for Graph Structure Learning	✅	✅	✅	✅	✅	❌	✅	6
One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution	❌	✅	✅	❌	✅	❌	✅	4
One-Step Diffusion-Based Image Compression with Semantic Distillation	❌	✅	✅	✅	✅	❌	✅	5
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling	✅	✅	✅	❌	✅	❌	✅	5
One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models	❌	✅	✅	❌	❌	❌	✅	3
Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time	✅	❌	❌	❌	❌	❌	✅	2
Online Experimental Design With Estimation-Regret Trade-off Under Network Interference	✅	✅	❌	❌	❌	❌	✅	3
Online Feedback Efficient Active Target Discovery in Partially Observable Environments	✅	✅	✅	❌	✅	❌	✅	5
Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion	✅	✅	✅	❌	✅	❌	✅	5
Online Inverse Linear Optimization: Efficient Logarithmic-Regret Algorithm, Robustness to Suboptimality, and Lower Bound	✅	✅	❌	❌	✅	✅	✅	5
Online Learning in the Repeated Mediated Newsvendor Problem	✅	✅	❌	❌	✅	❌	✅	4
Online Learning of Neural Networks	✅	❌	❌	❌	❌	❌	❌	1
Online Learning of Pure States is as Hard as Mixed States	❌	❌	❌	❌	❌	❌	❌	0
Online Locally Differentially Private Conformal Prediction via Binary Inquiries	✅	✅	✅	❌	✅	❌	✅	5
Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making	✅	❌	✅	❌	✅	✅	✅	5
Online Multi-Class Selection with Group Fairness Guarantee	✅	❌	✅	❌	❌	❌	✅	3
Online Optimization for Offline Safe Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Online Portfolio Selection with ML Predictions	✅	✅	✅	✅	✅	❌	✅	6
Online Prediction with Limited Selectivity	✅	❌	❌	❌	❌	❌	❌	1
Online Segment Any 3D Thing as Instance Tracking	❌	✅	✅	❌	✅	❌	✅	4
Online Strategic Classification With Noise and Partial Feedback	✅	✅	❌	❌	✅	✅	✅	5
Online Time Series Forecasting with Theoretical Guarantees	❌	✅	✅	✅	❌	❌	❌	3
Online Two-Stage Submodular Maximization	✅	✅	✅	❌	✅	✅	✅	6
Online robust locally differentially private learning for nonparametric regression	✅	✅	✅	✅	✅	❌	✅	6
OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects	❌	❌	✅	✅	✅	✅	✅	5
Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning	❌	❌	✅	❌	✅	❌	✅	3
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model	✅	✅	✅	❌	❌	❌	✅	4
Open-Vocabulary Part Segmentation via Progressive and Boundary-Aware Strategy	❌	✅	✅	✅	✅	✅	✅	6
Open-World Drone Active Tracking with Goal-Centered Rewards	✅	✅	✅	✅	✅	❌	✅	6
OpenBox: Annotate Any Bounding Boxes in 3D	❌	✅	✅	✅	✅	❌	✅	5
OpenCUA: Open Foundations for Computer-Use Agents	❌	✅	✅	✅	✅	❌	✅	5
OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model	❌	❌	✅	✅	✅	❌	✅	4
OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields	❌	❌	✅	✅	✅	✅	✅	5
OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data	❌	✅	✅	✅	✅	✅	✅	6
OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis	❌	✅	✅	✅	✅	❌	✅	5
OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles	❌	✅	✅	✅	✅	❌	✅	5
OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts	❌	✅	✅	✅	✅	❌	✅	5
Opinion Maximization in Social Networks by Modifying Internal Opinions	✅	✅	✅	❌	✅	✅	✅	6
OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization	❌	✅	❌	✅	❌	✅	✅	4
OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling	✅	✅	✅	❌	❌	❌	✅	4
Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges	❌	✅	❌	✅	✅	❌	✅	4
Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect	❌	✅	✅	❌	✅	❌	✅	4
Optimal Best Arm Identification under Differential Privacy	✅	✅	❌	❌	✅	✅	✅	5
Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency	✅	✅	✅	✅	✅	❌	✅	6
Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning	✅	❌	❌	✅	❌	❌	✅	3
Optimal Estimation of the Best Mean in Multi-Armed Bandits	✅	✅	❌	❌	✅	✅	✅	5
Optimal Graph Clustering without Edge Density Signals	✅	✅	✅	❌	❌	❌	✅	4
Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs	❌	❌	❌	❌	❌	❌	❌	0
Optimal Mistake Bounds for Transductive Online Learning	✅	❌	❌	❌	❌	❌	❌	1
Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff	❌	✅	✅	❌	✅	❌	✅	4
Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics	✅	✅	❌	✅	❌	❌	✅	4
Optimal Online Change Detection via Random Fourier Features	✅	✅	✅	✅	✅	❌	✅	6
Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification	❌	✅	✅	❌	❌	❌	✅	3
Optimal Rates in Continual Linear Regression via Increasing Regularization	✅	❌	❌	❌	❌	❌	❌	1
Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Optimal Regret of Bandits under Differential Privacy	✅	✅	❌	❌	✅	✅	✅	5
Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL	✅	❌	❌	❌	❌	❌	❌	1
Optimal Spectral Transitions in High-Dimensional Multi-Index Models	✅	❌	❌	❌	❌	❌	✅	2
Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling	✅	✅	✅	✅	❌	❌	✅	5
Optimal community detection in dense bipartite graphs	❌	❌	❌	❌	❌	❌	❌	0
Optimal kernel regression bounds under energy-bounded noise	❌	✅	❌	❌	✅	❌	✅	3
Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions	❌	✅	❌	✅	✅	❌	✅	4
Optimism Without Regularization: Constant Regret in Zero-Sum Games	✅	✅	❌	❌	❌	❌	✅	3
Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality	✅	❌	✅	❌	❌	❌	✅	3
Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search	✅	✅	✅	✅	✅	❌	✅	6
Optimization Inspired Few-Shot Adaptation for Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization	✅	✅	✅	✅	✅	❌	✅	6
Optimize the Unseen - Fast NeRF Cleanup with Free Space Prior	❌	❌	✅	✅	✅	❌	✅	4
Optimized Minimal 3D Gaussian Splatting	❌	✅	✅	❌	✅	❌	✅	4
Optimizing Anytime Reasoning via Budget Relative Policy Optimization	❌	✅	✅	✅	✅	❌	✅	5
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL	✅	❌	✅	✅	✅	❌	✅	5
Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation	✅	✅	✅	✅	✅	❌	✅	6
Optimizing Retrieval for RAG via Reinforcement Learning	❌	❌	✅	✅	✅	❌	✅	4
Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Oracle-Efficient Combinatorial Semi-Bandits	✅	✅	❌	❌	❌	❌	✅	3
OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning	❌	✅	✅	❌	✅	✅	✅	5
OrdShap: Feature Position Importance for Sequential Black-Box Models	✅	❌	✅	✅	✅	❌	✅	5
Order-Level Attention Similarity Across Language Models: A Latent Commonality	❌	✅	✅	✅	✅	❌	✅	5
Orient Anything V2: Unifying Orientation and Rotation Understanding	❌	✅	✅	✅	❌	❌	✅	4
Orientation Matters: Making 3D Generative Models Orientation-Aligned	❌	❌	✅	❌	✅	✅	✅	4
Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos	❌	✅	✅	✅	✅	❌	✅	5
Orochi: Versatile Biomedical Image Processor	❌	✅	✅	✅	✅	❌	✅	5
Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis	✅	✅	✅	✅	✅	✅	✅	7
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data	❌	✅	✅	✅	✅	❌	✅	5
Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL	✅	✅	✅	❌	✅	❌	✅	5
Out-of-Distribution Detection with Relative Angles	✅	✅	✅	✅	✅	✅	✅	7
Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup	✅	❌	✅	✅	✅	✅	✅	6
Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits	✅	❌	❌	❌	❌	❌	❌	1
Over-squashing in Spatiotemporal Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Overcoming Challenges of Long-Horizon Prediction in Driving World Models	❌	✅	✅	✅	✅	❌	✅	5
Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention	❌	✅	✅	✅	❌	❌	✅	4
Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning	❌	✅	✅	✅	✅	❌	✅	5
P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models	❌	✅	✅	✅	❌	❌	✅	4
PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders	✅	✅	✅	✅	✅	❌	✅	6
PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation	❌	✅	✅	✅	✅	❌	✅	5
PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization	❌	✅	✅	✅	✅	✅	✅	6
PANDA: Towards Generalist Video Anomaly Detection via Agentic AI Engineer	❌	✅	✅	✅	✅	✅	✅	6
PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs	✅	❌	✅	✅	✅	✅	✅	6
PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling	❌	✅	✅	❌	❌	❌	✅	3
PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization	✅	✅	✅	❌	✅	✅	✅	6
PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models	✅	✅	✅	✅	✅	❌	✅	6
PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding	❌	✅	✅	✅	❌	✅	✅	5
PASS: Path-selective State Space Model for Event-based Recognition	✅	✅	✅	✅	❌	❌	✅	5
PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors	❌	❌	✅	✅	✅	❌	✅	4
PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network	❌	✅	✅	✅	✅	❌	✅	5
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling	✅	✅	✅	✅	✅	✅	✅	7
PDPO: Parametric Density Path Optimization	✅	✅	✅	❌	✅	❌	✅	5
PID-controlled Langevin Dynamics for Faster Sampling of Generative Models	✅	✅	✅	❌	✅	❌	✅	5
PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling	❌	❌	✅	✅	✅	❌	✅	4
PINNs with Learnable Quadrature	✅	✅	❌	✅	✅	❌	✅	5
PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting	✅	✅	✅	✅	✅	❌	✅	6
PIVNO: Particle Image Velocimetry Neural Operator	❌	✅	✅	❌	❌	❌	✅	3
PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-forward Planar Splatting	❌	✅	✅	✅	✅	❌	✅	5
PLD: A Choice-Theoretic List-Wise Knowledge Distillation	✅	✅	✅	✅	✅	❌	✅	6
PLEIADES: Building Temporal Kernels with Orthogonal Polynomials	❌	✅	✅	✅	✅	❌	✅	5
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models	❌	✅	✅	✅	✅	❌	✅	5
PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series	❌	✅	✅	✅	✅	❌	✅	5
PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement	✅	❌	✅	✅	✅	❌	✅	5
POCO: Scalable Neural Forecasting through Population Conditioning	❌	✅	✅	✅	✅	❌	✅	5
PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching	✅	✅	✅	✅	✅	❌	✅	6
PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors	✅	❌	✅	❌	✅	❌	✅	4
PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation	✅	✅	✅	✅	✅	✅	✅	7
PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs	❌	✅	✅	✅	✅	❌	✅	5
PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models	❌	❌	✅	❌	✅	❌	✅	3
PROFIT: A Specialized Optimizer for Deep Fine Tuning	✅	❌	✅	✅	✅	❌	✅	5
PRSformer: Disease Prediction from Million-Scale Individual Genotypes	❌	✅	❌	✅	✅	❌	✅	4
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning	✅	✅	✅	✅	❌	✅	✅	6
PUATE: Efficient ATE Estimation from Treated (Positive) and Unlabeled Units	✅	❌	✅	✅	✅	❌	❌	4
PaTH Attention: Position Encoding via Accumulating Householder Transformations	❌	✅	✅	❌	✅	❌	✅	4
PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs	✅	✅	✅	✅	✅	❌	✅	6
PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding	✅	❌	✅	✅	✅	❌	✅	5
PairEdit: Learning Semantic Variations for Exemplar-based Image Editing	❌	✅	❌	❌	✅	✅	✅	4
Pairwise Calibrated Rewards for Pluralistic Alignment	❌	❌	✅	✅	✅	❌	✅	4
Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model	✅	✅	✅	✅	✅	❌	✅	6
Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables	❌	✅	✅	✅	✅	❌	✅	5
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation	✅	✅	✅	✅	✅	❌	✅	6
Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains	❌	❌	✅	✅	✅	❌	✅	4
PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space	❌	❌	✅	✅	✅	❌	✅	4
PanoWan: Lifting Diffusion Video Generation Models to 360$^\circ$ with Latitude/Longitude-aware Mechanisms	❌	❌	❌	❌	✅	❌	✅	2
Panoptic Captioning: An Equivalence Bridge for Image and Text	❌	❌	✅	✅	✅	❌	✅	4
Parallel Scaling Law for Language Models	❌	✅	✅	✅	❌	❌	✅	4
Parallelization of Non-linear State-Space Models: Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling	✅	✅	✅	✅	✅	❌	✅	6
Parallelizing MCMC Across the Sequence Length	✅	✅	✅	❌	✅	❌	✅	5
ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation	❌	✅	✅	✅	❌	❌	✅	4
Parameter Dynamics of Online Machine Learning and Test-time Adaptation	✅	❌	✅	✅	✅	❌	✅	5
Parameter Efficient Fine-tuning via Explained Variance Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification	✅	✅	✅	✅	✅	❌	✅	6
Parameter-free Algorithms for the Stochastically Extended Adversarial Model	✅	❌	❌	❌	❌	❌	❌	1
Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards	✅	❌	✅	❌	❌	❌	✅	3
Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies	✅	❌	✅	✅	✅	❌	✅	5
ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization	❌	✅	✅	✅	✅	❌	✅	5
Parsimonious Predictions for Strategyproof Scheduling	✅	❌	❌	❌	❌	❌	❌	1
Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection	❌	✅	✅	✅	✅	❌	✅	5
PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers	❌	✅	✅	❌	✅	❌	✅	4
Partial Correlation Network Estimation by Semismooth Newton Methods	✅	❌	✅	❌	✅	✅	✅	5
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions	✅	✅	✅	❌	✅	❌	✅	5
Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction	❌	❌	✅	✅	✅	❌	✅	4
Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery	✅	✅	✅	✅	✅	❌	✅	6
Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)	❌	✅	✅	✅	✅	✅	✅	6
Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems	✅	✅	✅	✅	✅	❌	✅	6
Path Gradients after Flow Matching	✅	✅	✅	✅	✅	❌	✅	6
Path-Enhanced Contrastive Learning for Recommendation	✅	✅	✅	✅	✅	❌	✅	6
Path-specific effects for pulse-oximetry guided decisions in critical care	❌	✅	✅	✅	✅	❌	✅	5
PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization	✅	❌	✅	✅	✅	❌	✅	5
Pattern-Guided Adaptive Prior for Structure Learning	✅	✅	✅	❌	✅	❌	✅	5
Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers	❌	✅	❌	✅	✅	❌	✅	4
Pay Attention to Small Weights	✅	✅	✅	✅	✅	❌	✅	6
PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning	✅	✅	✅	✅	✅	✅	✅	7
Per-Architecture Training-Free Metric Optimization for Neural Architecture Search	✅	✅	✅	✅	✅	❌	✅	6
Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos	❌	✅	✅	✅	✅	✅	✅	6
Perception Encoder: The best visual embeddings are not at the output of the network	❌	✅	✅	✅	❌	❌	✅	4
Perception-R1: Pioneering Perception Policy with Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding	❌	✅	✅	✅	✅	❌	✅	5
Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity	✅	✅	✅	✅	✅	❌	✅	6
Performative Validity of Recourse Explanations	❌	✅	✅	✅	✅	❌	✅	5
Periodic Skill Discovery	✅	✅	✅	❌	✅	❌	✅	5
PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Permissioned LLMs: Enforcing Access Control in Large Language Models	❌	❌	✅	✅	✅	❌	✅	4
Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation	✅	✅	✅	✅	✅	❌	✅	6
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning	✅	✅	✅	✅	❌	✅	✅	6
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing	❌	✅	✅	✅	✅	❌	✅	5
Personalized Federated Conformal Prediction with Localization	✅	✅	✅	✅	❌	❌	✅	5
Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization	❌	✅	✅	✅	✅	✅	✅	6
Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach	✅	✅	✅	✅	✅	❌	✅	6
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections	✅	✅	✅	✅	✅	❌	✅	6
Personalized Visual Content Generation in Conversational Systems	✅	✅	✅	✅	✅	❌	✅	6
Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models	✅	✅	✅	✅	✅	✅	✅	7
Perturbation Bounds for Low-Rank Inverse Approximations under Noise	❌	✅	✅	❌	❌	❌	✅	3
Pessimistic Data Integration for Policy Evaluation	❌	✅	✅	✅	✅	❌	✅	5
Photography Perspective Composition: Towards Aesthetic Perspective Recommendation	❌	❌	✅	✅	✅	❌	✅	4
PhySense: Sensor Placement Optimization for Accurate Physics Sensing	❌	✅	✅	✅	✅	✅	✅	6
PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation	❌	❌	✅	✅	✅	❌	✅	4
PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation	❌	❌	✅	✅	✅	❌	✅	4
PhysDiff-VTON: Cross-Domain Physics Modeling and Trajectory Optimization for Virtual Try-On	✅	❌	✅	❌	✅	❌	✅	4
PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection	✅	✅	✅	✅	✅	✅	✅	7
PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments	✅	✅	✅	❌	✅	✅	✅	6
PhysX-3D: Physical-Grounded 3D Asset Generation	❌	✅	✅	✅	✅	❌	✅	5
Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers	❌	✅	❌	✅	✅	❌	✅	4
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints	✅	✅	❌	✅	✅	❌	✅	5
Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection	✅	✅	✅	✅	✅	✅	✅	7
Physics-informed Neural Operator for Pansharpening	❌	✅	✅	✅	✅	✅	✅	6
Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers	✅	✅	✅	✅	✅	❌	✅	6
Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows	✅	❌	❌	❌	✅	❌	✅	3
PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation	✅	✅	✅	✅	✅	❌	✅	6
PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts	✅	❌	✅	✅	✅	❌	✅	5
Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services	✅	✅	❌	❌	✅	❌	✅	4
Pinpointing Attention-Causal Communication in Language Models	✅	✅	✅	❌	✅	❌	✅	5
PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference	❌	✅	✅	✅	✅	✅	✅	6
PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement	✅	❌	✅	✅	✅	❌	✅	5
Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers	❌	❌	✅	❌	✅	❌	✅	3
Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning	✅	✅	❌	❌	✅	❌	✅	4
PlanU: Large Language Model Reasoning through Planning under Uncertainty	✅	✅	✅	✅	✅	❌	✅	6
PlanarGS: High-Fidelity Indoor 3D Gaussian Splatting Guided by Vision-Language Planar Priors	❌	❌	✅	✅	✅	❌	✅	4
Planning and Learning in Average Risk-aware MDPs	✅	✅	❌	❌	✅	✅	✅	5
Planning with Quantized Opponent Models	✅	❌	✅	❌	✅	❌	✅	4
Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL	❌	✅	✅	✅	❌	❌	✅	4
Plasticity as the Mirror of Empowerment	❌	❌	❌	❌	✅	❌	✅	2
PlayerOne: Egocentric World Simulator	❌	❌	✅	✅	✅	❌	✅	4
Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation	✅	✅	✅	✅	✅	✅	✅	7
Plug-and-Play Context Feature Reuse for Efficient Masked Generation	❌	✅	✅	✅	✅	❌	✅	5
Plug-and-play Feature Causality Decomposition for Multimodal Representation Learning	✅	❌	✅	✅	✅	❌	✅	5
PoE-World: Compositional World Modeling with Products of Programmatic Experts	✅	✅	✅	✅	✅	✅	✅	7
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation	✅	❌	✅	✅	❌	❌	✅	4
PoLAR: Polar-Decomposed Low-Rank Adapter Representation	✅	✅	✅	✅	✅	❌	✅	6
PocketSR: The Super-Resolution Expert in Your Pocket Mobiles	❌	❌	✅	✅	✅	❌	✅	4
Point Cloud Synthesis Using Inner Product Transforms	❌	✅	✅	❌	✅	❌	✅	4
Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings	❌	✅	✅	✅	✅	❌	✅	5
Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training	❌	✅	✅	✅	✅	❌	✅	5
Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning	❌	✅	✅	✅	✅	❌	✅	5
Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory	❌	✅	✅	✅	✅	❌	✅	5
Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection	✅	❌	✅	✅	✅	❌	✅	5
PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion	✅	✅	✅	✅	✅	❌	✅	6
PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning	❌	❌	✅	✅	✅	❌	✅	4
PointTruss: K-Truss for Point Cloud Registration	✅	❌	✅	✅	✅	❌	✅	5
Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs	✅	✅	✅	✅	✅	❌	✅	6
Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity	✅	✅	✅	✅	✅	❌	✅	6
PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration	✅	✅	✅	✅	❌	❌	✅	5
Policy Compatible Skill Incremental Learning via Lazy Learning Interface	✅	✅	✅	✅	✅	✅	✅	7
Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games	❌	✅	✅	❌	✅	❌	❌	3
Policy Optimized Text-to-Image Pipeline Design	❌	❌	❌	✅	❌	❌	✅	2
PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors	✅	❌	✅	✅	✅	❌	✅	5
PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations	❌	✅	✅	✅	✅	❌	✅	5
PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement	❌	❌	✅	❌	✅	❌	✅	3
Polyline Path Masked Attention for Vision Transformer	✅	✅	✅	✅	✅	❌	✅	6
Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models	❌	✅	✅	❌	✅	❌	✅	4
Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance	❌	✅	✅	✅	✅	❌	✅	5
PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis	❌	❌	✅	❌	✅	❌	✅	3
Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks	❌	✅	✅	❌	✅	❌	✅	4
Post Hoc Regression Refinement via Pairwise Rankings	❌	✅	✅	✅	✅	❌	✅	5
Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality	❌	❌	❌	❌	❌	❌	❌	0
Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics	✅	✅	✅	✅	✅	❌	✅	6
Power Lines: Scaling laws for weight decay and batch size in LLM pre-training	✅	❌	✅	✅	✅	❌	✅	5
Practical Bayes-Optimal Membership Inference Attacks	✅	✅	✅	✅	❌	❌	✅	5
Practical Kernel Selection for Kernel-based Conditional Independence Test	✅	✅	✅	✅	✅	❌	✅	6
Practical and Effective Code Watermarking for Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference	✅	✅	✅	✅	✅	❌	✅	6
Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism	✅	✅	✅	❌	✅	❌	✅	5
Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
Pre-Trained Policy Discriminators are General Reward Models	❌	✅	✅	✅	✅	❌	✅	5
Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context	✅	✅	✅	❌	❌	❌	✅	4
PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling	❌	✅	✅	✅	✅	❌	✅	5
Precise Asymptotics and Refined Regret of Variance-Aware UCB	✅	❌	❌	❌	❌	❌	✅	2
Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models	✅	✅	✅	✅	✅	❌	✅	6
Precise Information Control in Long-Form Text Generation	✅	✅	✅	✅	✅	❌	✅	6
Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems	❌	✅	❌	❌	✅	❌	✅	3
Predictability Enables Parallelization of Nonlinear State Space Models	✅	✅	✅	❌	✅	❌	✅	5
Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs	✅	✅	✅	✅	✅	❌	✅	6
Predicting Empirical AI Research Outcomes with Language Models	❌	✅	✅	✅	❌	❌	❌	3
Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme	❌	❌	✅	❌	❌	❌	✅	2
Predicting the Performance of Black-box Language Models with Follow-up Queries	❌	✅	✅	✅	✅	❌	✅	5
Prediction with expert advice under additive noise	❌	❌	❌	❌	❌	❌	❌	0
Prediction-Powered Causal Inferences	❌	✅	✅	✅	✅	❌	✅	5
Prediction-Powered Semi-Supervised Learning with Online Power Tuning	✅	✅	✅	✅	✅	✅	✅	7
Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability	❌	✅	❌	✅	✅	❌	✅	4
Predictive Preference Learning from Human Interventions	✅	✅	✅	❌	✅	❌	✅	5
Preference Distillation via Value based Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Preference Learning with Lie Detectors can Induce Honesty or Evasion	❌	✅	✅	✅	✅	❌	✅	5
Preference Learning with Response Time: Robust Losses and Guarantees	✅	✅	✅	✅	❌	❌	✅	5
Preference Optimization by Estimating the Ratio of the Data Distribution	✅	✅	✅	✅	✅	✅	✅	7
Preference Optimization on Pareto Sets: On a Theory of Multi-Objective Optimization	✅	✅	❌	❌	❌	❌	✅	3
Preference-Based Dynamic Ranking Structure Recognition	✅	✅	✅	✅	✅	❌	✅	6
Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation	✅	✅	✅	❌	✅	❌	✅	5
Preference-Guided Diffusion for Multi-Objective Offline Optimization	✅	✅	✅	✅	✅	❌	✅	6
Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options	✅	✅	✅	❌	✅	❌	✅	5
Preference-driven Knowledge Distillation for Few-shot Node Classification	✅	✅	✅	✅	✅	✅	✅	7
PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation	✅	✅	✅	❌	✅	❌	✅	5
Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization	❌	✅	✅	✅	✅	✅	✅	6
Preserving Task-Relevant Information Under Linear Concept Removal	❌	✅	✅	✅	❌	❌	✅	4
Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Preventing Shortcuts in Adapter Training via Providing the Shortcuts	❌	❌	❌	❌	✅	❌	✅	2
Price of Parsimony: Complexity of Fourier Sparsity Testing	✅	❌	❌	❌	❌	❌	❌	1
Principled Data Augmentation for Learning to Solve Quadratic Programming Problems	✅	✅	✅	✅	✅	❌	✅	6
Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward	✅	❌	✅	✅	✅	❌	✅	5
Principled Long-Tailed Generative Modeling via Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Principled Model Routing for Unknown Mixtures of Source Domains	✅	❌	✅	❌	✅	❌	✅	4
Prior Forgetting and In-Context Overfitting	❌	✅	❌	❌	✅	❌	✅	3
Prior-Guided Diffusion Planning for Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number	✅	✅	✅	✅	✅	❌	✅	6
Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving	✅	❌	✅	✅	✅	❌	✅	5
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning	✅	✅	✅	❌	✅	❌	❌	4
Privacy Reasoning in Ambiguous Contexts	❌	❌	✅	❌	❌	✅	✅	3
Privacy amplification by random allocation	❌	✅	❌	❌	❌	❌	✅	2
Private Continual Counting of Unbounded Streams	✅	✅	❌	❌	✅	❌	✅	4
Private Evolution Converges	✅	✅	✅	❌	✅	❌	✅	5
Private Geometric Median in Nearly-Linear Time	✅	✅	❌	❌	✅	❌	✅	4
Private Hyperparameter Tuning with Ex-Post Guarantee	✅	✅	✅	❌	✅	❌	✅	5
Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings	✅	❌	❌	❌	❌	❌	❌	1
Private Set Union with Multiple Contributions	✅	❌	❌	❌	❌	❌	❌	1
Private Statistical Estimation via Truncation	✅	❌	❌	❌	❌	❌	❌	1
Private Training Large-scale Models with Efficient DP-SGD	✅	✅	✅	❌	✅	❌	✅	5
Private Zeroth-Order Optimization with Public Data	✅	✅	✅	✅	✅	❌	✅	6
Pro3D-Editor: A Progressive-Views Perspective for Consistent and Precise 3D Editing	❌	❌	❌	❌	✅	❌	✅	2
ProDAG: Projected Variational Inference for Directed Acyclic Graphs	✅	✅	✅	✅	✅	✅	✅	7
ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos	❌	❌	✅	❌	✅	❌	✅	3
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models	❌	❌	✅	✅	✅	❌	✅	4
ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods	✅	✅	✅	✅	✅	❌	✅	6
Probabilistic Reasoning with LLMs for Privacy Risk Estimation	❌	❌	❌	✅	✅	❌	✅	3
Probabilistic Stability Guarantees for Feature Attributions	✅	✅	✅	❌	✅	❌	✅	5
Probabilistic Token Alignment for Large Language Model Fusion	✅	❌	✅	✅	✅	❌	✅	5
Probably Approximately Precision and Recall Learning	✅	❌	❌	❌	❌	❌	❌	1
Probing Equivariance and Symmetry Breaking in Convolutional Networks	❌	✅	✅	✅	✅	❌	✅	5
Probing Hidden Knowledge Holes in Unlearned LLMs	❌	❌	✅	✅	✅	❌	✅	4
Probing Neural Combinatorial Optimization Models	❌	✅	✅	❌	✅	❌	❌	3
Problem-Parameter-Free Decentralized Bilevel Optimization	✅	❌	✅	✅	✅	❌	✅	5
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning	✅	✅	✅	✅	❌	❌	❌	4
Procurement Auctions with Predictions: Improved Frugality for Facility Location	✅	❌	❌	❌	❌	❌	❌	1
Product Distribution Learning with Imperfect Advice	✅	❌	❌	❌	❌	❌	❌	1
ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks	❌	❌	✅	✅	✅	❌	✅	4
Program Synthesis via Test-Time Transduction	✅	✅	✅	✅	❌	❌	✅	5
Progress Reward Model for Reinforcement Learning via Large Language Models	✅	✅	✅	❌	✅	✅	✅	6
Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster	✅	✅	✅	✅	✅	❌	✅	6
Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities	✅	✅	✅	✅	✅	❌	✅	6
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry	❌	✅	✅	✅	✅	❌	✅	5
Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion	✅	✅	✅	✅	✅	❌	❌	5
Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs	✅	✅	❌	❌	✅	❌	✅	4
Projective Equivariant Networks via Second-order Fundamental Differential Invariants	❌	✅	✅	✅	✅	❌	✅	5
Prompt Tuning Decision Transformers with Structured and Scalable Bandits	✅	✅	✅	✅	✅	❌	✅	6
Prompt Tuning Transformers for Data Memorization	❌	❌	✅	❌	✅	❌	✅	3
Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer	❌	✅	✅	✅	✅	❌	✅	5
Prompt-guided Disentangled Representation for Action Recognition	❌	✅	✅	✅	❌	❌	✅	4
Promptable 3-D Object Localization with Latent Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs	❌	✅	✅	❌	✅	❌	✅	4
Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling	✅	✅	✅	❌	✅	❌	✅	5
Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment	❌	✅	✅	✅	✅	❌	✅	5
ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search	✅	✅	✅	✅	✅	❌	✅	6
Protein Design with Dynamic Protein Vocabulary	❌	✅	✅	✅	❌	❌	✅	4
Protein Inverse Folding From Structure Feedback	❌	✅	✅	❌	✅	❌	✅	4
ProtoPairNet: Interpretable Regression through Prototypical Pair Reasoning	✅	✅	✅	✅	✅	✅	✅	7
Protocols for Verifying Smooth Strategies in Bandits and Games	✅	❌	❌	❌	❌	❌	❌	1
Provable Gradient Editing of Deep Neural Networks	❌	❌	✅	✅	✅	❌	✅	4
Provable Meta-Learning with Low-Rank Adaptations	✅	✅	✅	✅	✅	❌	✅	6
Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents	❌	✅	✅	✅	✅	❌	✅	5
Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning	❌	❌	✅	✅	❌	❌	✅	3
Provable Scaling Laws for the Test-Time Compute of Large Language Models	✅	✅	✅	❌	❌	❌	✅	4
Provable Watermarking for Data Poisoning Attacks	✅	✅	✅	✅	✅	❌	✅	6
Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations	✅	✅	✅	❌	❌	❌	✅	4
Provably Efficient Online RLHF with One-Pass Reward Modeling	✅	✅	✅	✅	❌	❌	✅	5
Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation	✅	✅	❌	❌	✅	❌	✅	4
Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO	❌	❌	✅	❌	❌	❌	✅	2
Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control	✅	✅	✅	❌	✅	❌	✅	5
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs	✅	✅	✅	✅	✅	❌	✅	6
Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization	✅	✅	✅	✅	✅	✅	✅	7
Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths	❌	✅	✅	✅	✅	❌	✅	5
PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Pseudo-Riemannian Graph Transformer	✅	✅	✅	✅	✅	❌	✅	6
PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture	✅	✅	✅	✅	✅	✅	✅	7
Puppeteer: Rig and Animate Your 3D Models	❌	✅	✅	✅	✅	❌	✅	5
Purest Quantum State Identification	✅	❌	❌	❌	❌	❌	✅	2
Purifying Approximate Differential Privacy with Randomized Post-processing	✅	❌	❌	❌	❌	❌	❌	1
Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner	✅	✅	✅	❌	✅	❌	✅	5
Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability	✅	✅	✅	✅	✅	❌	✅	6
PurpCode: Reasoning for Safer Code Generation	❌	✅	✅	✅	✅	✅	✅	6
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning	✅	✅	✅	✅	✅	❌	✅	6
Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction	❌	✅	✅	✅	✅	❌	✅	5
PyraMotion: Attentional Pyramid-Structured Motion Integration for Co-Speech 3D Gesture Synthesis	❌	❌	✅	✅	✅	✅	✅	5
Q-Insight: Understanding Image Quality via Visual Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment	❌	✅	✅	✅	✅	✅	✅	6
Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training	✅	✅	✅	✅	✅	❌	✅	6
QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution	✅	✅	✅	✅	✅	❌	✅	6
QFFT, Question-Free Fine-Tuning for Adaptive Reasoning	❌	✅	✅	✅	❌	❌	✅	4
QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation	❌	✅	✅	❌	✅	❌	✅	4
QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation	✅	✅	✅	✅	✅	❌	✅	6
QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation	❌	✅	✅	✅	✅	✅	✅	6
QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code	❌	❌	✅	✅	❌	❌	✅	3
QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation	❌	✅	✅	❌	✅	❌	✅	4
QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training	❌	✅	✅	✅	✅	❌	✅	5
QuARI: Query Adaptive Retrieval Improvement	❌	❌	✅	❌	✅	❌	✅	3
QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning	✅	❌	✅	✅	✅	❌	✅	5
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction	❌	✅	✅	✅	✅	❌	✅	5
Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models	❌	✅	✅	✅	✅	❌	✅	5
QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification	✅	✅	✅	✅	✅	❌	✅	6
Quantifying Cross-Modality Memorization in Vision-Language Models	❌	❌	✅	✅	✅	❌	✅	4
Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization	❌	✅	✅	✅	✅	❌	✅	5
Quantifying Elicitation of Latent Capabilities in Language Models	✅	✅	✅	✅	✅	❌	✅	6
Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference	❌	✅	✅	✅	✅	❌	✅	5
Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations	❌	✅	✅	✅	✅	❌	✅	5
Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers	✅	✅	✅	❌	❌	❌	❌	3
Quantifying Uncertainty in the Presence of Distribution Shifts	✅	✅	✅	✅	✅	✅	✅	7
Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting	❌	❌	✅	✅	✅	❌	✅	4
Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions	✅	✅	✅	✅	✅	❌	✅	6
Quantitative convergence of trained neural networks to Gaussian processes	❌	✅	❌	❌	❌	✅	✅	3
Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization	❌	✅	✅	✅	✅	❌	✅	5
Quantization-Free Autoregressive Action Transformer	✅	✅	✅	✅	✅	❌	✅	6
Quantum Doubly Stochastic Transformers	❌	❌	✅	✅	✅	✅	✅	5
Quantum Speedups for Minimax Optimization and Beyond	✅	❌	❌	❌	❌	❌	❌	1
Quantum Visual Fields with Neural Amplitude Encoding	✅	❌	✅	❌	✅	❌	✅	4
Quantum speedup of non-linear Monte Carlo problems	✅	❌	❌	❌	❌	❌	❌	1
Quartet: Native FP4 Training Can Be Optimal for Large Language Models	✅	✅	✅	✅	✅	✅	✅	7
Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights	✅	✅	✅	❌	✅	✅	✅	6
Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph	❌	❌	❌	❌	❌	❌	❌	0
R$^2$ec: Towards Large Recommender Models with Reasoning	✅	✅	✅	✅	✅	✅	✅	7
R-KV: Redundancy-aware KV Cache Compression for Reasoning Models	✅	✅	✅	✅	✅	❌	✅	6
R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO	❌	✅	✅	✅	✅	❌	✅	5
R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing	✅	✅	✅	✅	✅	❌	✅	6
RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis	✅	✅	✅	✅	✅	❌	✅	6
RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning	❌	✅	❌	✅	✅	❌	✅	4
RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation	❌	✅	✅	❌	✅	✅	✅	5
RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models	❌	✅	✅	✅	✅	❌	✅	5
RANK++LETR: Learn to Rank and Optimize Candidates for Line Segment Detection	❌	✅	✅	✅	✅	❌	✅	5
RAPID Hand: Robust, Affordable, Perception-Integrated, Dexterous Manipulation Platform for Embodied Intelligence	❌	✅	❌	❌	✅	❌	✅	3
RAPTR: Radar-based 3D Pose Estimation using Transformer	❌	✅	✅	✅	✅	✅	✅	6
RAST: Reasoning Activation in LLMs via Small-model Transfer	❌	✅	✅	✅	✅	❌	✅	5
RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling	✅	✅	✅	✅	✅	❌	✅	6
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget	✅	✅	✅	✅	✅	✅	✅	7
RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks	✅	✅	✅	✅	✅	❌	✅	6
REASONING COMPILER: LLM-Guided Optimizations for Efficient Model Serving	❌	✅	✅	❌	✅	✅	✅	5
REArtGS: Reconstructing and Generating Articulated Objects via 3D Gaussian Splatting with Geometric and Motion Constraints	❌	✅	✅	❌	✅	❌	✅	4
REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning	❌	✅	✅	✅	✅	❌	✅	5
REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing	❌	✅	✅	✅	✅	❌	✅	5
REINFORCE Converges to Optimal Policies with Any Learning Rate	✅	❌	✅	❌	❌	❌	✅	3
REMI: Reconstructing Episodic Memory During Internally Driven Path Planning	❌	✅	✅	✅	✅	❌	✅	5
REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders	❌	✅	✅	✅	✅	❌	✅	5
REOrdering Patches Improves Vision Models	✅	✅	✅	✅	✅	❌	✅	6
REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training	✅	❌	✅	❌	✅	❌	✅	4
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation	✅	❌	✅	✅	✅	❌	✅	5
RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis	❌	✅	✅	✅	✅	❌	✅	5
REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects	❌	✅	✅	✅	✅	❌	✅	5
RF-Agent: Automated Reward Function Design via Language Agent Tree Search	✅	✅	✅	❌	✅	❌	✅	5
RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching	❌	✅	✅	✅	❌	❌	❌	3
RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes	❌	❌	✅	✅	✅	❌	✅	4
RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees	✅	✅	✅	✅	✅	❌	✅	6
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility	✅	✅	✅	✅	✅	❌	✅	6
RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains	❌	✅	✅	✅	✅	❌	✅	5
RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning	✅	✅	✅	✅	❌	❌	✅	5
RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation	❌	❌	✅	✅	✅	❌	✅	4
RLVR-World: Training World Models with Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
RLZero: Direct Policy Inference from Language Without In-Domain Supervision	✅	✅	✅	❌	✅	❌	✅	5
RNNs perform task computations by dynamically warping neural representations	❌	✅	❌	❌	✅	❌	✅	3
RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models	✅	✅	✅	❌	✅	❌	✅	5
ROGR: Relightable 3D Objects using Generative Relighting	❌	❌	✅	✅	✅	❌	✅	4
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge	✅	✅	✅	❌	✅	❌	✅	5
ROSE: Remove Objects with Side Effects in Videos	❌	✅	✅	✅	✅	✅	✅	6
ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks	✅	✅	✅	✅	✅	✅	✅	7
RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization	❌	❌	✅	✅	✅	❌	✅	4
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards	❌	✅	✅	✅	✅	❌	✅	5
RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator	✅	✅	✅	✅	✅	❌	✅	6
RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality	✅	✅	✅	✅	✅	❌	✅	6
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability	❌	✅	✅	✅	✅	❌	✅	5
RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts	❌	✅	✅	✅	✅	❌	✅	5
Radial Attention: $\mathcal{O}(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation	❌	✅	✅	❌	✅	✅	✅	5
Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays	❌	✅	✅	✅	✅	❌	✅	5
Random Forest Autoencoders for Guided Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Random Search Neural Networks for Efficient and Expressive Graph Learning	✅	✅	✅	✅	✅	❌	✅	6
Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2	❌	✅	✅	✅	✅	❌	✅	5
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels	❌	❌	✅	✅	✅	❌	✅	4
RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation	✅	✅	✅	✅	✅	❌	✅	6
Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback	✅	✅	✅	✅	✅	❌	✅	6
Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion	✅	✅	✅	✅	✅	❌	✅	6
Rao-Blackwellised Reparameterisation Gradients	✅	✅	✅	✅	✅	❌	✅	6
Rare Text Semantics Were Always There in Your Diffusion Transformer	❌	❌	✅	✅	✅	❌	✅	4
Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow	✅	✅	✅	✅	✅	❌	✅	6
Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning	✅	✅	✅	✅	✅	✅	✅	7
Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)	✅	✅	✅	✅	✅	❌	✅	6
RayFusion: Ray Fusion Enhanced Collaborative Visual Perception	❌	✅	✅	❌	✅	❌	✅	4
RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion	❌	❌	✅	✅	✅	❌	✅	4
Re-coding for Uncertainties: Edge-awareness Semantic Concordance for Resilient Event-RGB Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape	❌	✅	✅	✅	❌	❌	✅	4
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding	✅	✅	✅	✅	✅	❌	✅	6
ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents	✅	❌	✅	✅	❌	✅	✅	5
ReCon-GS: Continuum-Preserved Gaussian Streaming for Fast and Compact Reconstruction of Dynamic Scenes	❌	✅	✅	❌	✅	❌	✅	4
ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection	✅	✅	✅	✅	✅	✅	✅	7
ReDi: Rectified Discrete Flow	✅	✅	✅	✅	✅	❌	✅	6
ReDit: Reward Dithering for Improved LLM Policy Optimization	✅	✅	✅	✅	✅	❌	✅	6
ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model	❌	✅	✅	✅	✅	❌	✅	5
ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG	✅	✅	✅	✅	✅	❌	✅	6
RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models	❌	✅	✅	❌	✅	❌	✅	4
RePO: Understanding Preference Learning Through ReLU-Based Optimization	❌	✅	✅	❌	✅	❌	✅	4
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
ReSim: Reliable World Simulation for Autonomous Driving	❌	✅	✅	✅	✅	❌	✅	5
Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets	✅	✅	✅	✅	✅	❌	✅	6
Reading Recognition in the Wild	❌	❌	✅	❌	❌	❌	✅	2
Real-DRL: Teach and Learn at Runtime	✅	✅	❌	❌	✅	❌	✅	4
Real-Time Execution of Action Chunking Flow Policies	✅	✅	❌	❌	✅	❌	✅	4
Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection	❌	❌	✅	❌	✅	❌	✅	3
Real-World Adverse Weather Image Restoration via Dual-Level Reinforcement Learning with High-Quality Cold Start	❌	✅	✅	❌	✅	❌	✅	4
Real-World Reinforcement Learning of Active Perception Behaviors	✅	❌	✅	❌	❌	❌	✅	3
Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models	❌	✅	✅	✅	✅	❌	✅	5
ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs	❌	✅	✅	❌	✅	❌	✅	4
Reasoning Beyond Points: A Visual Introspective Approach for Few-Shot 3D Segmentation	❌	❌	✅	✅	❌	❌	✅	3
Reasoning Is Not a Race: When Stopping Early Beats Going Deeper	❌	❌	✅	❌	❌	❌	✅	2
Reasoning Models Better Express Their Confidence	❌	✅	✅	✅	✅	❌	✅	5
Reasoning Models Hallucinate More: Factuality-Aware Reinforcement Learning for Large Reasoning Models	❌	✅	✅	✅	✅	❌	✅	5
Reasoning Models Sometimes Output Illegible Chains of Thought	❌	✅	✅	❌	❌	❌	✅	3
Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning	✅	✅	✅	❌	✅	✅	✅	6
Reasoning Planning for Language Models	❌	✅	✅	✅	✅	❌	✅	5
Reasoning as an Adaptive Defense for Safety	❌	✅	✅	✅	✅	❌	✅	5
Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought	✅	✅	✅	✅	✅	❌	✅	6
Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling	✅	✅	✅	✅	✅	❌	✅	6
Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval	✅	✅	✅	✅	✅	❌	✅	6
Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Reconciling Geospatial Prediction and Retrieval via Sparse Representations	✅	✅	✅	✅	✅	❌	✅	6
Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos	❌	✅	✅	✅	✅	❌	✅	5
Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery	❌	❌	✅	❌	✅	❌	✅	3
Reconstruction and Secrecy under Approximate Distance Queries	❌	❌	❌	❌	❌	❌	❌	0
Rectified CFG++ for Flow Based Models	✅	✅	✅	✅	✅	✅	✅	7
Rectified Point Flow: Generic Point Cloud Pose Estimation	❌	✅	✅	✅	✅	❌	✅	5
Rectifying Shortcut Behaviors in Preference-based Reward Learning	✅	✅	✅	❌	✅	❌	✅	5
Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation	❌	❌	✅	✅	✅	❌	✅	4
Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs	✅	❌	✅	✅	✅	❌	✅	5
Recurrent Memory for Online Interdomain Gaussian Processes	✅	✅	✅	✅	✅	❌	✅	6
Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians	❌	❌	✅	✅	✅	❌	✅	4
Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems	✅	❌	✅	✅	✅	❌	✅	5
Recursive Transformer: Boosting Reasoning Ability with State Stack	❌	✅	✅	✅	❌	❌	✅	4
Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling	❌	✅	✅	❌	✅	❌	✅	4
Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation	✅	✅	✅	❌	✅	❌	✅	5
Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference	✅	✅	✅	✅	✅	❌	✅	6
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning	✅	✅	✅	✅	✅	❌	✅	6
Redundancy-Aware Test-Time Graph Out-of-Distribution Detection	✅	✅	✅	✅	✅	✅	✅	7
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models	✅	✅	✅	✅	✅	❌	✅	6
Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses	✅	❌	❌	❌	❌	❌	❌	1
Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Reframing Gaussian Splatting Densification with Complexity-Density Consistency of Primitives	✅	❌	✅	❌	✅	❌	✅	4
Refusal Direction is Universal Across Safety-Aligned Languages	❌	✅	✅	✅	❌	❌	✅	4
Regional Explanations: Bridging Local and Global Variable Importance	❌	❌	✅	✅	✅	❌	✅	4
Register and [CLS] tokens induce a decoupling of local and global features in large ViTs	❌	✅	✅	✅	❌	❌	✅	4
Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection	❌	✅	✅	✅	✅	❌	✅	5
Regression Trees Know Calculus	✅	✅	✅	✅	✅	❌	✅	6
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values	✅	✅	✅	❌	✅	❌	❌	4
Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach	✅	❌	❌	❌	❌	❌	❌	1
Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback	✅	❌	❌	❌	❌	❌	❌	1
Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems	❌	❌	❌	❌	❌	❌	❌	0
Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning	✅	✅	❌	❌	✅	❌	✅	4
Regularized least squares learning with heavy-tailed noise is minimax optimal	❌	✅	❌	❌	✅	❌	✅	3
ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Reinforced Active Learning for Large-Scale Virtual Screening with Learnable Policy Model	✅	✅	✅	✅	✅	❌	✅	6
Reinforced Context Order Recovery for Adaptive Reasoning and Planning	✅	❌	✅	✅	✅	❌	✅	5
Reinforcement Learning Finetunes Small Subnetworks in Large Language Models	❌	✅	✅	❌	❌	❌	✅	3
Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation	❌	✅	✅	✅	✅	❌	✅	5
Reinforcement Learning Teachers of Test Time Scaling	❌	✅	✅	✅	✅	❌	✅	5
Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding	❌	✅	✅	✅	✅	✅	✅	6
Reinforcement Learning for Reasoning in Large Language Models with One Training Example	❌	✅	✅	✅	✅	❌	✅	5
Reinforcement Learning with Action Chunking	✅	✅	✅	✅	✅	❌	✅	6
Reinforcement Learning with Backtracking Feedback	❌	❌	✅	❌	❌	❌	❌	1
Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach	✅	✅	✅	❌	❌	❌	✅	4
Reinforcement learning for one-shot DAG scheduling with comparability identification and dense reward	❌	✅	✅	❌	✅	❌	✅	4
Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing	❌	✅	✅	✅	✅	❌	✅	5
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models	✅	✅	✅	✅	✅	❌	✅	6
RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers	❌	✅	✅	✅	✅	❌	✅	5
Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering	❌	❌	❌	❌	❌	❌	❌	0
ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search	✅	❌	✅	✅	✅	✅	✅	6
Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation	❌	✅	✅	✅	✅	✅	✅	6
Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance	✅	❌	✅	✅	✅	❌	✅	5
Reliably detecting model failures in deployment without labels	✅	✅	✅	✅	✅	❌	✅	6
Relieving the Over-Aggregating Effect in Graph Transformers	✅	✅	✅	❌	✅	❌	✅	5
Remarkable Robustness of LLMs: Stages of Inference?	❌	✅	✅	❌	✅	❌	✅	4
Remasking Discrete Diffusion Models with Inference-Time Scaling	✅	✅	✅	✅	❌	❌	✅	5
Removing Concepts from Text-to-Image Models with Only Negative Samples	✅	❌	✅	✅	✅	✅	✅	6
Rendering-Aware Reinforcement Learning for Vector Graphics Generation	❌	❌	✅	✅	✅	❌	✅	4
RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation	✅	✅	✅	✅	✅	❌	✅	6
Reparameterized LLM Training via Orthogonal Equivalence Transformation	✅	❌	✅	❌	✅	❌	✅	4
ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization	❌	✅	✅	✅	✅	✅	✅	6
Replicable Distribution Testing	✅	❌	❌	❌	❌	❌	❌	1
Replicable Online Learning	✅	❌	❌	❌	❌	❌	❌	1
Replicable Online pricing	✅	❌	❌	❌	❌	❌	❌	1
Repo2Run: Automated Building Executable Environment for Code Repository at Scale	❌	✅	✅	✅	❌	✅	✅	5
RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving	✅	✅	✅	✅	❌	❌	✅	5
Representation Consistency for Accurate and Coherent LLM Answer Aggregation	❌	❌	✅	✅	✅	❌	✅	4
Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think	❌	✅	✅	❌	✅	❌	✅	4
Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition	✅	✅	✅	✅	❌	❌	✅	5
Representational Difference Explanations	✅	❌	✅	✅	✅	❌	✅	5
Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis	❌	❌	❌	❌	❌	❌	❌	0
Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design	✅	✅	✅	✅	✅	❌	✅	6
Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues	❌	✅	✅	✅	✅	❌	✅	5
Rescaled Influence Functions: Accurate Data Attribution in High Dimension	❌	✅	✅	✅	✅	✅	✅	6
ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains	✅	✅	✅	✅	✅	❌	✅	6
Residual Stream Analysis of Overfitting And Structural Disruptions	❌	✅	✅	✅	✅	❌	✅	5
Resolution of Simpson's paradox via the common cause principle	❌	❌	✅	❌	❌	❌	✅	2
Resounding Acoustic Fields with Reciprocity	❌	❌	✅	✅	✅	❌	✅	4
Resource-Constrained Federated Continual Learning: What Does Matter?	❌	❌	✅	✅	✅	❌	✅	4
RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation	✅	❌	✅	✅	✅	❌	✅	5
ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning	❌	✅	✅	✅	✅	❌	✅	5
Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video	❌	❌	✅	✅	✅	❌	✅	4
Restoring Pruned Large Language Models via Lost Component Compensation	❌	✅	✅	✅	✅	❌	✅	5
Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification	❌	✅	✅	✅	✅	✅	✅	6
Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions	✅	✅	❌	❌	✅	❌	✅	4
Rethinking Approximate Gaussian Inference in Classification	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates	✅	✅	✅	❌	❌	❌	✅	4
Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality	✅	❌	✅	✅	❌	❌	✅	4
Rethinking Fair Federated Learning from Parameter and Client View	✅	✅	✅	✅	✅	❌	✅	6
Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning	❌	❌	✅	✅	✅	❌	✅	4
Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator	✅	❌	✅	❌	✅	❌	✅	4
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation	❌	✅	✅	❌	❌	❌	✅	3
Rethinking Losses for Diffusion Bridge Samplers	✅	✅	✅	❌	❌	❌	✅	4
Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion	✅	✅	✅	✅	✅	❌	✅	6
Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Nighttime Image Deraining via Learnable Color Space Transformation	✅	✅	✅	✅	✅	❌	✅	6
Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling	✅	✅	✅	✅	✅	✅	✅	7
Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics	✅	✅	✅	✅	✅	❌	✅	6
Rethinking PCA Through Duality	✅	✅	✅	✅	✅	✅	✅	7
Rethinking Residual Distribution in Locate-then-Edit Model Editing	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Tokenized Graph Transformers for Node Classification	✅	✅	✅	✅	✅	✅	✅	7
Rethinking Verification for LLM Code Generation: From Generation to Testing	✅	✅	✅	✅	✅	✅	✅	7
Rethinking the Role of Verbatim Memorization in LLM Privacy	❌	❌	❌	✅	✅	❌	✅	3
Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization	✅	✅	✅	✅	✅	❌	✅	6
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval	✅	✅	✅	❌	✅	❌	✅	5
Retro-R1: LLM-based Agentic Retrosynthesis	❌	✅	✅	✅	✅	❌	✅	5
Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs	✅	✅	✅	✅	✅	❌	✅	6
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval	❌	❌	✅	✅	✅	❌	✅	4
Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks	❌	✅	✅	✅	✅	❌	✅	5
Revealing Multimodal Causality with Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Reverse Diffusion Sequential Monte Carlo Samplers	✅	✅	✅	✅	✅	❌	✅	6
Reverse Engineering Human Preferences with Reinforcement Learning	❌	❌	✅	✅	✅	❌	✅	4
Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design	✅	❌	❌	❌	❌	❌	✅	2
Revising and Falsifying Sparse Autoencoder Feature Explanations	✅	✅	✅	✅	✅	❌	✅	6
Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency	✅	✅	✅	✅	✅	❌	✅	6
Revisiting Agnostic Boosting	✅	❌	❌	❌	❌	❌	❌	1
Revisiting Bi-Linear State Transitions in Recurrent Neural Networks	❌	❌	❌	✅	✅	❌	✅	3
Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity	❌	✅	❌	❌	❌	❌	✅	2
Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology	❌	✅	✅	✅	✅	❌	✅	5
Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems	❌	✅	❌	❌	❌	❌	❌	1
Revisiting Frank-Wolfe for Structured Nonconvex Optimization	✅	✅	✅	❌	✅	✅	✅	6
Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws	✅	✅	✅	❌	✅	❌	✅	5
Revisiting Glorot Initialization for Long-Range Linear Recurrences	❌	✅	✅	❌	✅	❌	✅	4
Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability	❌	✅	✅	❌	✅	❌	❌	3
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection	❌	✅	✅	✅	✅	✅	✅	6
Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective	✅	✅	✅	❌	✅	❌	✅	5
Revisiting Orbital Minimization Method for Neural Operator Decomposition	✅	✅	✅	✅	✅	❌	✅	6
Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks	✅	✅	✅	✅	✅	❌	✅	6
Revisiting Semi-Supervised Learning in the Era of Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening	❌	✅	✅	✅	✅	✅	✅	6
Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models	❌	✅	✅	✅	✅	✅	✅	6
Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN	❌	❌	✅	✅	✅	❌	✅	4
Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Reward Reasoning Models	❌	✅	✅	❌	✅	❌	✅	4
Reward-Aware Proto-Representations in Reinforcement Learning	✅	✅	❌	❌	❌	❌	✅	3
Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation	✅	❌	✅	❌	✅	❌	✅	4
Reward-oriented Causal Representation Learning	✅	✅	❌	❌	✅	❌	✅	4
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions	✅	✅	✅	✅	✅	✅	✅	7
RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents	❌	❌	❌	❌	❌	❌	✅	1
RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching	✅	✅	✅	✅	✅	❌	✅	6
Ridge Boosting is Both Robust and Efficient	❌	✅	✅	✅	✅	❌	✅	5
RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models	✅	✅	✅	✅	❌	❌	✅	5
Riemannian Consistency Model	✅	❌	✅	✅	✅	❌	✅	5
Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry	✅	✅	✅	✅	✅	❌	✅	6
Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds	✅	✅	❌	❌	✅	❌	✅	4
Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction	❌	❌	✅	✅	✅	❌	✅	4
RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Data	✅	❌	✅	✅	✅	❌	✅	5
Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization	✅	✅	✅	✅	✅	❌	✅	6
Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI	✅	✅	✅	✅	✅	✅	✅	7
Rising from Ashes: Generalized Federated Learning via Dynamic Parameter Reset	✅	✅	✅	❌	✅	❌	✅	5
Risk Bounds For Distributional Regression	❌	✅	✅	✅	❌	❌	✅	4
Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents	✅	✅	✅	✅	✅	❌	✅	6
Risk-Averse Total-Reward Reinforcement Learning	✅	✅	✅	❌	✅	❌	❌	4
Risk-aware Direct Preference Optimization under Nested Risk Measure	✅	✅	✅	❌	✅	❌	✅	5
RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting	❌	✅	✅	✅	✅	❌	✅	5
RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing	❌	❌	✅	✅	✅	❌	✅	4
RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains	❌	✅	✅	✅	✅	✅	✅	6
RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers	✅	✅	✅	❌	✅	❌	✅	5
RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo	❌	✅	✅	❌	✅	❌	✅	4
RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics	❌	❌	❌	✅	✅	❌	✅	3
RoboScape: Physics-informed Embodied World Model	❌	✅	✅	✅	✅	❌	✅	5
Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics	❌	✅	✅	❌	✅	❌	✅	4
RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills	❌	❌	❌	❌	✅	❌	✅	2
Robust Contextual Pricing	✅	❌	❌	❌	❌	❌	❌	1
Robust Cross-modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding	❌	✅	✅	❌	❌	❌	❌	2
Robust Distortion-Free Watermark for Autoregressive Audio Generation Models	✅	✅	✅	✅	✅	❌	✅	6
Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means	✅	✅	✅	❌	✅	❌	✅	5
Robust Ego-Exo Correspondence with Long-Term Memory	❌	✅	✅	✅	✅	❌	✅	5
Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention	❌	❌	✅	✅	✅	✅	✅	5
Robust Equilibria in Continuous Games: From Strategic to Dynamic Robustness	❌	❌	❌	❌	❌	❌	❌	0
Robust Estimation Under Heterogeneous Corruption Rates	✅	✅	❌	❌	❌	❌	✅	3
Robust Explanations of Graph Neural Networks via Graph Curvatures	❌	✅	✅	❌	❌	❌	✅	3
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA	✅	✅	✅	✅	✅	❌	✅	6
Robust Graph Condensation via Classification Complexity Mitigation	✅	✅	✅	✅	✅	❌	✅	6
Robust Hallucination Detection in LLMs via Adaptive Token Selection	❌	✅	✅	✅	✅	✅	✅	6
Robust Hyperbolic Learning with Curvature-Aware Optimization	✅	✅	✅	✅	✅	❌	✅	6
Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits	✅	✅	✅	✅	❌	❌	✅	5
Robust LLM Alignment via Distributionally Robust Direct Preference Optimization	✅	✅	✅	✅	✅	❌	✅	6
Robust Label Proportions Learning	✅	❌	✅	✅	✅	❌	✅	5
Robust Minimax Boosting with Performance Guarantees	✅	✅	✅	✅	❌	❌	✅	5
Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting	✅	❌	✅	✅	✅	❌	✅	5
Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption	✅	✅	✅	✅	✅	❌	✅	6
Robust Regression of General ReLUs with Queries	✅	❌	❌	❌	❌	❌	❌	1
Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets	✅	✅	✅	✅	✅	✅	✅	7
Robust Sampling for Active Statistical Inference	✅	✅	✅	❌	❌	❌	✅	4
Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks	✅	✅	❌	❌	❌	❌	✅	3
Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models	❌	❌	✅	✅	❌	❌	✅	3
Robust and Computation-Aware Gaussian Processes	✅	✅	✅	✅	✅	❌	✅	6
Robust and Diverse Multi-Agent Learning via Rational Policy Gradient	✅	✅	✅	❌	✅	❌	✅	5
Robust and Scalable Autonomous Reinforcement Learning in Irreversible Environments	✅	✅	✅	❌	✅	✅	✅	6
Robust learning of halfspaces under log-concave marginals	✅	❌	❌	❌	❌	❌	❌	1
RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness	✅	✅	✅	✅	✅	❌	✅	6
Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency	✅	✅	✅	❌	❌	❌	✅	4
Robustly Learning Monotone Single-Index Models	✅	❌	❌	❌	❌	❌	❌	1
Robustness in Both Domains: CLIP Needs a Robust Text Encoder	✅	✅	✅	✅	✅	❌	✅	6
Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate Decomposition	❌	❌	✅	✅	✅	❌	✅	4
Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control	✅	✅	✅	❌	✅	✅	✅	6
Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods	✅	✅	✅	❌	❌	❌	✅	4
RoomEditor: High-Fidelity Furniture Synthesis with Parameter-Sharing U-Net	❌	✅	✅	✅	✅	❌	✅	5
Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping	✅	✅	✅	❌	✅	❌	✅	5
Root Cause Analysis of Outliers with Missing Structural Knowledge	✅	✅	✅	✅	✅	❌	✅	6
Rope to Nope and Back Again: A New Hybrid Attention Strategy	❌	❌	✅	✅	❌	❌	✅	3
Rotary Masked Autoencoders are Versatile Learners	❌	✅	✅	✅	✅	❌	✅	5
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection	❌	✅	✅	❌	✅	❌	✅	4
RrED: Black-box Unsupervised Domain Adaptation via Rectifying-reasoning Errors of Diffusion	✅	✅	✅	✅	✅	❌	✅	6
RvLLM: LLM Runtime Verification with Domain Knowledge	❌	✅	✅	❌	✅	❌	✅	4
S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection	❌	✅	✅	✅	✅	❌	✅	5
S$^2$NN: Sub-bit Spiking Neural Networks	✅	✅	✅	✅	✅	✅	✅	7
S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning	❌	✅	✅	✅	✅	❌	✅	5
S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation	✅	✅	❌	✅	✅	✅	✅	6
S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models	✅	❌	✅	❌	❌	❌	✅	3
SAD Neural Networks: Divergent Gradient Flows and Asymptotic Optimality via o-minimal Structures	❌	✅	✅	✅	✅	❌	✅	5
SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders	✅	✅	✅	✅	❌	❌	✅	5
SAFE: Multitask Failure Detection for Vision-Language-Action Models	❌	✅	✅	✅	✅	❌	✅	5
SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment	❌	✅	✅	✅	✅	❌	✅	5
SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification	❌	✅	✅	✅	✅	❌	✅	5
SAGE: A Unified Framework for Generalizable Object State Recognition with State-Action Graph Embedding	❌	✅	✅	✅	✅	✅	✅	6
SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering	❌	❌	✅	❌	✅	✅	✅	4
SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation	❌	❌	✅	❌	✅	✅	✅	4
SALS: Sparse Attention in Latent Space for KV Cache Compression	✅	❌	✅	✅	✅	❌	✅	5
SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater	✅	✅	✅	✅	✅	❌	✅	6
SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning	❌	❌	✅	✅	✅	❌	✅	4
SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis	❌	✅	✅	✅	✅	❌	✅	5
SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models	✅	❌	✅	❌	✅	❌	✅	4
SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation	❌	✅	✅	✅	✅	❌	✅	5
SAO-Instruct: Free-form Audio Editing using Natural Language Instructions	❌	✅	✅	✅	✅	❌	✅	5
SAP: Exact Sorting in Splatting via Screen-Aligned Primitives	❌	❌	✅	✅	✅	❌	✅	4
SAS: Simulated Attention Score	✅	✅	✅	❌	❌	❌	✅	4
SATURN: SAT-based Reinforcement Learning to Unleash LLMs Reasoning	✅	✅	✅	✅	✅	❌	✅	6
SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing	✅	❌	❌	❌	✅	❌	✅	3
SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning	❌	✅	✅	❌	✅	❌	✅	4
SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs	✅	✅	✅	✅	✅	❌	✅	6
SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought	❌	❌	✅	✅	✅	❌	✅	4
SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories	✅	✅	✅	✅	✅	❌	✅	6
SD-KDE: Score-Debiased Kernel Density Estimation	✅	✅	✅	❌	✅	✅	✅	6
SD-VLM: Spatial Measuring and Understanding with Depth-Encoded Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization	❌	✅	✅	✅	✅	❌	✅	5
SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction	❌	✅	✅	✅	✅	❌	✅	5
SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents	❌	✅	✅	✅	✅	❌	✅	5
SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
SEAL: Semantic-Aware Hierarchical Learning for Generalized Category Discovery	✅	❌	✅	✅	✅	❌	✅	5
SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks	✅	✅	✅	✅	❌	✅	✅	6
SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations	✅	✅	✅	❌	✅	❌	✅	5
SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents	✅	❌	✅	✅	✅	❌	✅	5
SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision	✅	✅	✅	✅	✅	❌	✅	6
SEMPO: Lightweight Foundation Models for Time Series Forecasting	❌	✅	✅	✅	✅	✅	✅	6
SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval	❌	❌	✅	✅	✅	❌	✅	4
SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification	✅	❌	✅	✅	✅	✅	✅	6
SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification	❌	✅	✅	✅	✅	❌	✅	5
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism	✅	❌	❌	❌	❌	❌	❌	1
SHAP values via sparse Fourier representation	❌	✅	✅	✅	✅	❌	✅	5
SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries	✅	✅	✅	✅	✅	❌	✅	6
SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation	✅	❌	✅	✅	✅	✅	✅	6
SHGR: A Generalized Maximal Correlation Coefficient	✅	✅	✅	✅	✅	❌	✅	6
SIFusion: A Unified Fusion Framework for Multi-granularity Arctic Sea Ice Forecasting	❌	✅	✅	✅	❌	❌	❌	3
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation	❌	✅	✅	✅	✅	❌	✅	5
SING: SDE Inference via Natural Gradients	❌	✅	✅	❌	✅	❌	✅	4
SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment	✅	✅	✅	✅	✅	❌	✅	6
SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning	❌	✅	❌	✅	❌	❌	✅	3
SNAP: Low-Latency Test-Time Adaptation with Sparse Updates	✅	✅	✅	✅	✅	❌	✅	6
SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation	❌	✅	✅	✅	✅	❌	✅	5
SOMBRL: Scalable and Optimistic Model-Based RL	❌	❌	✅	❌	✅	❌	✅	3
SONAR: Long-Range Graph Propagation Through Information Waves	❌	✅	✅	✅	✅	❌	✅	5
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration	✅	✅	✅	✅	✅	❌	✅	6
SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models	✅	❌	✅	❌	✅	❌	✅	4
SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score	✅	✅	✅	✅	✅	❌	✅	6
SPARTAN: A Sparse Transformer World Model Attending to What Matters	❌	✅	✅	❌	✅	❌	✅	4
SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding	❌	✅	✅	✅	✅	✅	✅	6
SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning	❌	✅	✅	✅	❌	❌	✅	4
SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts	✅	✅	✅	✅	✅	❌	✅	6
SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding	✅	✅	✅	✅	✅	❌	✅	6
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding	❌	✅	✅	✅	✅	❌	✅	5
SPMDM: Enhancing Masked Diffusion Models through Simplifying Sampling Path	✅	❌	✅	✅	✅	❌	✅	5
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation	✅	✅	✅	✅	✅	❌	✅	6
SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes	✅	✅	✅	❌	❌	❌	✅	4
SPRINT: Enabling Interleaved Planning and Parallelized Execution in Reasoning Models	❌	✅	✅	✅	✅	❌	✅	5
SPRO: Improving Image Generation via Self-Play	❌	✅	✅	✅	✅	❌	✅	5
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer	✅	✅	✅	✅	✅	❌	✅	6
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL	✅	❌	✅	✅	❌	✅	✅	5
SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving	❌	❌	✅	✅	❌	❌	✅	3
SRHand: Super-Resolving Hand Images and 3D Shapes via View/Pose-aware Neural Image Representations and Explicit Meshes	✅	✅	✅	✅	❌	❌	❌	4
SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning	❌	❌	✅	❌	✅	❌	✅	3
SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning	❌	✅	✅	✅	✅	❌	✅	5
SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization	❌	✅	✅	✅	✅	✅	✅	6
SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning	❌	❌	✅	✅	✅	❌	✅	4
SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs	❌	✅	✅	✅	✅	❌	✅	5
ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation	❌	✅	✅	✅	✅	❌	✅	5
STACI: Spatio-Temporal Aleatoric Conformal Inference	❌	✅	✅	✅	✅	❌	✅	5
STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals	✅	✅	❌	❌	❌	❌	✅	3
STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization	✅	✅	✅	❌	❌	❌	✅	4
STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking	❌	✅	✅	✅	✅	❌	✅	5
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis	✅	✅	✅	✅	✅	❌	✅	6
STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model	✅	✅	✅	✅	❌	❌	✅	5
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation	✅	✅	✅	❌	✅	❌	✅	5
STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem	✅	✅	❌	❌	✅	❌	✅	4
STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization	✅	✅	✅	✅	✅	❌	✅	6
STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds	❌	✅	✅	✅	❌	✅	✅	5
STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization	❌	✅	✅	❌	❌	❌	✅	3
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data	✅	✅	✅	✅	✅	❌	✅	6
STree: Speculative Tree Decoding for Hybrid State Space Models	✅	✅	✅	❌	✅	❌	✅	5
SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training	✅	✅	✅	✅	✅	❌	✅	6
SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios	✅	❌	✅	✅	✅	❌	✅	5
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution	❌	✅	✅	✅	✅	❌	✅	5
SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications	✅	✅	✅	✅	✅	✅	✅	7
SYMPHONY: Synergistic Multi-agent Planning with Heterogeneous Language Model Assembly	✅	✅	✅	✅	✅	❌	✅	6
SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation	❌	❌	✅	✅	✅	❌	✅	4
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models	✅	✅	✅	❌	❌	❌	❌	3
Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback	❌	✅	✅	❌	❌	❌	✅	3
Safe and Stable Control via Lyapunov-Guided Diffusion Models	✅	✅	❌	❌	✅	❌	✅	4
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking	✅	✅	✅	✅	✅	❌	✅	6
SafePTR: Token-Level Jailbreak Defense in Multimodal LLMs via Prune-then-Restore Mechanism	❌	✅	✅	❌	✅	❌	✅	4
SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning	✅	✅	✅	✅	✅	✅	✅	7
Safely Learning Controlled Stochastic Dynamics	✅	✅	❌	❌	✅	❌	✅	4
Safety Depth in Large Language Models: A Markov Chain Perspective	✅	✅	✅	✅	✅	❌	✅	6
Safety Pretraining: Toward the Next Generation of Safe AI	✅	✅	✅	❌	✅	✅	✅	6
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training	✅	✅	✅	❌	✅	❌	✅	5
Salient Concept-Aware Generative Data Augmentation	❌	❌	✅	✅	✅	❌	✅	4
Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs	❌	✅	✅	✅	✅	❌	✅	5
Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures	✅	❌	✅	❌	✅	❌	✅	4
Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function	❌	❌	❌	❌	❌	❌	❌	0
Sample-Adaptivity Tradeoff in On-Demand Sampling	✅	❌	❌	❌	❌	❌	❌	1
Sample-Conditional Coverage in Split-Conformal Prediction	❌	✅	✅	✅	❌	❌	✅	4
Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning	✅	✅	❌	❌	✅	✅	✅	5
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions	✅	✅	✅	✅	✅	❌	✅	6
Sampled Estimators For Softmax Must Be Biased	❌	❌	❌	❌	❌	❌	❌	0
Sampling 3D Molecular Conformers with Diffusion Transformers	✅	✅	✅	✅	✅	❌	✅	6
Sampling by averaging: A multiscale approach to score estimation	✅	✅	✅	❌	✅	❌	✅	5
Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion	❌	❌	❌	❌	❌	❌	✅	1
Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding	❌	✅	✅	✅	✅	❌	✅	5
Scaffolding Dexterous Manipulation with Vision-Language Models	❌	✅	✅	❌	✅	❌	✅	4
Scalable Best-of-N Selection for Large Language Models via Self-Certainty	❌	✅	✅	✅	✅	❌	✅	5
Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity	✅	❌	✅	✅	✅	❌	✅	5
Scalable Evaluation and Neural Models for Compositional Generalization	✅	✅	✅	✅	✅	✅	✅	7
Scalable Exploration via Ensemble++	✅	✅	✅	❌	✅	❌	✅	5
Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning	✅	✅	✅	✅	✅	✅	✅	7
Scalable Fingerprinting of Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
Scalable In-context Ranking with Generative Models	❌	✅	✅	✅	✅	❌	✅	5
Scalable Neural Incentive Design with Parameterized Mean-Field Approximation	✅	✅	❌	❌	✅	❌	✅	4
Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation	✅	❌	✅	✅	✅	❌	✅	5
Scalable Policy-Based RL Algorithms for POMDPs	✅	✅	✅	❌	❌	❌	✅	4
Scalable Signature Kernel Computations via Local Neumann Series Expansions	✅	✅	✅	❌	✅	❌	✅	5
Scalable Valuation of Human Feedback through Provably Robust Model Alignment	✅	✅	✅	✅	✅	❌	✅	6
Scalable and Cost-Efficient de Novo Template-Based Molecular Generation	✅	✅	✅	❌	✅	❌	✅	5
Scalable and adaptive prediction bands with kernel sum-of-squares	❌	✅	✅	❌	❌	❌	✅	3
Scalable inference of functional neural connectivity at submillisecond timescales	❌	✅	✅	❌	❌	❌	✅	3
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching	✅	✅	✅	✅	✅	✅	✅	7
Scale-invariant attention	❌	✅	✅	✅	✅	✅	✅	6
ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion	✅	❌	✅	❌	✅	❌	✅	4
Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning	❌	✅	✅	✅	✅	❌	✅	5
Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Scaling Diffusion Transformers Efficiently via $\mu$P	✅	✅	✅	❌	✅	❌	✅	5
Scaling Embedding Layers in Language Models	✅	❌	✅	❌	✅	❌	✅	4
Scaling Epidemic Inference on Contact Networks: Theory and Algorithms	✅	✅	✅	❌	✅	❌	✅	5
Scaling Image Geo-Localization to Continent Level	❌	✅	❌	✅	✅	❌	✅	4
Scaling Language-centric Omnimodal Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
Scaling Law with Learning Rate Annealing	❌	❌	✅	❌	✅	❌	✅	3
Scaling Laws For Scalable Oversight	✅	✅	✅	❌	❌	❌	✅	4
Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf’s Law	❌	✅	✅	❌	❌	❌	✅	3
Scaling Laws for Optimal Data Mixtures	❌	❌	✅	✅	❌	❌	✅	3
Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets	❌	✅	✅	✅	✅	❌	✅	5
Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization	❌	❌	✅	❌	✅	❌	✅	3
Scaling Offline RL via Efficient and Expressive Shortcut Models	✅	✅	✅	✅	✅	❌	✅	6
Scaling RL to Long Videos	❌	✅	✅	✅	✅	❌	✅	5
Scaling Speculative Decoding with Lookahead Reasoning	✅	✅	✅	✅	✅	✅	✅	7
Scaling Unlocks Broader Generation and Deeper Functional Understanding of Proteins	❌	✅	❌	✅	✅	❌	✅	4
Scaling Up Active Testing to Large Language Models	✅	✅	✅	✅	❌	❌	✅	5
Scaling Up Parameter Generation: A Recurrent Diffusion Approach	❌	✅	✅	✅	✅	❌	✅	5
Scaling and context steer LLMs along the same computational path as the human brain	❌	❌	✅	✅	✅	❌	✅	4
Scaling can lead to compositional generalization	✅	✅	❌	✅	✅	❌	✅	5
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach	❌	✅	✅	❌	✅	✅	✅	5
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection	❌	✅	✅	✅	✅	❌	✅	5
SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency	✅	✅	❌	❌	✅	❌	✅	4
SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation	✅	✅	✅	✅	✅	❌	✅	6
SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions	✅	✅	✅	✅	❌	✅	✅	6
SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agent	❌	❌	✅	❌	✅	✅	✅	4
Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging	❌	✅	✅	✅	✅	✅	✅	6
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres	✅	✅	✅	✅	✅	✅	✅	7
Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures	❌	✅	✅	✅	✅	❌	✅	5
Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery	✅	✅	✅	❌	✅	❌	✅	5
Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation	✅	✅	✅	❌	✅	✅	✅	6
SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG	✅	❌	✅	❌	✅	❌	✅	4
SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data	❌	✅	✅	✅	✅	❌	✅	5
Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning	❌	✅	✅	✅	✅	❌	✅	5
Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection	✅	✅	✅	✅	✅	❌	✅	6
Searching Latent Program Spaces	✅	✅	✅	✅	✅	❌	✅	6
Second-Order Convergence in Private Stochastic Non-Convex Optimization	✅	❌	✅	❌	❌	❌	❌	2
Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits	✅	❌	❌	❌	❌	❌	✅	2
Secure and Confidential Certificates of Online Fairness	✅	✅	✅	❌	✅	❌	✅	5
Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins	✅	✅	✅	✅	✅	❌	✅	6
See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction	❌	✅	✅	✅	✅	❌	✅	5
See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model	✅	✅	✅	✅	✅	❌	✅	6
Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models	✅	❌	✅	✅	❌	✅	✅	5
Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization	❌	✅	✅	✅	✅	❌	✅	5
Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation	❌	✅	✅	✅	✅	❌	✅	5
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models	✅	❌	✅	✅	❌	❌	✅	4
Seeing the Arrow of Time in Large Multimodal Models	❌	❌	✅	✅	✅	❌	✅	4
Seeing the Wind from a Falling Leaf	❌	❌	✅	❌	❌	❌	❌	1
Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation	✅	✅	✅	✅	✅	❌	✅	6
Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies	✅	✅	✅	✅	✅	❌	✅	6
SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling	✅	✅	✅	❌	✅	❌	✅	5
Seg-VAR:Image Segmentation with Visual Autoregressive Modeling	❌	❌	✅	✅	✅	❌	✅	4
Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control	❌	❌	✅	❌	✅	❌	✅	3
Seg4Diff: Unveiling Open-Vocabulary Semantic Segmentation in Text-to-Image Diffusion Transformers	❌	✅	✅	✅	✅	❌	✅	5
SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation	❌	✅	✅	✅	✅	❌	✅	5
SegMASt3R: Geometry Grounded Segment Matching	❌	❌	✅	✅	✅	❌	✅	4
Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective	❌	❌	✅	✅	✅	❌	✅	4
Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting	❌	✅	✅	❌	✅	❌	✅	4
Selective Learning for Deep Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Selective Omniprediction and Fair Abstention	❌	✅	❌	✅	✅	❌	✅	4
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion	✅	✅	✅	❌	✅	❌	✅	5
Self Iterative Label Refinement via Robust Unlabeled Learning	❌	✅	✅	✅	✅	❌	✅	5
Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential	❌	✅	✅	✅	❌	❌	✅	4
Self-Adapting Language Models	✅	✅	✅	✅	✅	❌	✅	6
Self-Assembling Graph Perceptrons	❌	✅	✅	❌	✅	❌	✅	4
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing	❌	❌	✅	✅	✅	❌	✅	4
Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels	✅	✅	✅	✅	✅	❌	✅	6
Self-Challenging Language Model Agents	❌	❌	✅	✅	✅	❌	✅	4
Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs	❌	❌	✅	✅	✅	❌	✅	4
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks	✅	✅	✅	✅	✅	❌	✅	6
Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents	✅	❌	✅	❌	✅	❌	✅	4
Self-Improving Embodied Foundation Models	✅	❌	✅	❌	✅	❌	✅	4
Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection	✅	✅	✅	✅	❌	❌	✅	5
Self-Refining Language Model Anonymizers via Adversarial Distillation	✅	✅	✅	✅	✅	✅	✅	7
Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning	❌	✅	✅	✅	✅	❌	✅	5
Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Self-Supervised Learning of Graph Representations for Network Intrusion Detection	❌	✅	✅	✅	✅	✅	✅	6
Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals	❌	✅	✅	❌	✅	❌	✅	4
Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration	✅	✅	✅	✅	✅	❌	✅	6
Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation	✅	✅	✅	❌	✅	❌	✅	5
Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training	❌	❌	✅	❌	❌	❌	✅	2
Self-Verifying Reflection Helps Transformers with CoT Reasoning	✅	✅	✅	✅	✅	✅	✅	7
Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization	✅	✅	✅	✅	✅	❌	✅	6
Self-diffusion for Solving Inverse Problems	✅	✅	✅	✅	✅	❌	✅	6
Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction	❌	✅	✅	✅	✅	❌	✅	5
Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation	❌	✅	✅	✅	✅	✅	✅	6
Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens	❌	✅	✅	✅	✅	❌	✅	5
SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens	❌	✅	✅	✅	✅	✅	✅	6
Semantic Representation Attack against Aligned Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation	✅	✅	✅	✅	✅	✅	✅	7
Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology	✅	❌	✅	✅	✅	❌	✅	5
Semantic-guided Diverse Decoding for Large Language Model	✅	✅	✅	❌	✅	❌	✅	5
Semi-Supervised Regression with Heteroscedastic Pseudo-Labels	✅	✅	✅	✅	✅	❌	✅	6
Semi-infinite Nonconvex Constrained Min-Max Optimization	✅	✅	✅	❌	✅	✅	✅	6
Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning	✅	❌	✅	✅	❌	❌	✅	4
Semi-supervised Graph Anomaly Detection via Robust Homophily Learning	✅	✅	✅	✅	✅	✅	✅	7
Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis	✅	✅	✅	❌	❌	❌	✅	4
SensorLM: Learning the Language of Wearable Sensors	❌	✅	❌	✅	✅	❌	✅	4
Separating the 'what' and 'how' of compositional computation to enable reuse and continual learning	✅	✅	❌	✅	❌	❌	✅	4
Sequence Modeling with Spectral Mean Flows	❌	✅	✅	✅	✅	❌	✅	5
Sequential Attention-based Sampling for Histopathological Analysis	✅	✅	✅	✅	✅	❌	✅	6
Sequential Monte Carlo for Policy Optimization in Continuous POMDPs	✅	✅	✅	❌	✅	❌	✅	5
Sequential Multi-Agent Dynamic Algorithm Configuration	✅	✅	✅	✅	❌	❌	✅	5
Sequentially Auditing Differential Privacy	✅	✅	❌	✅	✅	❌	✅	5
Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization	✅	❌	❌	❌	❌	❌	❌	1
Set-LLM: A Permutation-Invariant LLM	✅	✅	✅	✅	✅	❌	✅	6
Shallow Diffuse: Robust and Invisible Watermarking through Low-Dim Subspaces in Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis	✅	✅	✅	✅	✅	❌	✅	6
Shape it Up! Restoring LLM Safety during Finetuning	❌	✅	✅	✅	✅	❌	✅	5
Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders	✅	✅	✅	❌	✅	❌	✅	5
ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D Modeling	✅	❌	✅	✅	❌	✅	✅	5
ShapeEmbed: a self-supervised learning framework for 2D contour quantification	❌	✅	✅	✅	✅	❌	✅	5
ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding	❌	✅	✅	❌	✅	❌	✅	4
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models	❌	✅	✅	✅	✅	❌	✅	5
Shaping Sequence Attractor Schema in Recurrent Neural Networks	❌	❌	✅	❌	✅	❌	✅	3
Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors	✅	✅	✅	✅	✅	✅	✅	7
Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents	✅	✅	❌	❌	✅	❌	✅	4
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF	✅	❌	❌	❌	❌	❌	✅	2
Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs	✅	❌	❌	❌	❌	❌	❌	1
Sharp Gaussian approximations for Decentralized Federated Learning	✅	✅	✅	❌	❌	❌	✅	4
Sharp Matrix Empirical Bernstein Inequalities	❌	✅	❌	❌	❌	❌	✅	2
SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes	✅	✅	✅	✅	✅	❌	✅	6
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings	✅	✅	❌	❌	❌	❌	✅	3
Sherlock: Self-Correcting Reasoning in Vision-Language Models	✅	✅	✅	✅	✅	❌	✅	6
ShiQ: Bringing back Bellman to LLMs	❌	❌	✅	✅	❌	❌	✅	3
Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning	❌	✅	✅	❌	❌	❌	✅	3
ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On	❌	❌	✅	✅	✅	✅	✅	5
Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence	❌	✅	✅	✅	❌	❌	✅	4
ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation	✅	✅	✅	✅	❌	❌	✅	5
Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More	❌	❌	✅	✅	✅	❌	✅	4
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens	❌	✅	✅	✅	✅	✅	✅	6
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch	✅	✅	✅	✅	✅	❌	✅	6
ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning	❌	✅	✅	✅	✅	❌	✅	5
ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models	❌	✅	✅	✅	✅	✅	✅	6
Show-o2: Improved Native Unified Multimodal Models	❌	✅	✅	❌	✅	❌	✅	4
Siegel Neural Networks	❌	❌	✅	❌	❌	❌	✅	2
Sign-In to the Lottery: Reparameterizing Sparse Training	✅	✅	✅	✅	✅	❌	✅	6
SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction	❌	✅	✅	✅	✅	❌	✅	5
Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation	❌	✅	✅	❌	✅	❌	✅	4
Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator	✅	❌	✅	❌	❌	❌	✅	3
SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse	✅	✅	✅	✅	✅	❌	✅	6
SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation	❌	✅	✅	✅	✅	❌	✅	5
SimWorld-Robotics: Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration	✅	❌	❌	✅	✅	✅	✅	5
SimWorld: An Open-ended Simulator for Agents in Physical and Social Worlds	✅	✅	❌	❌	❌	❌	✅	3
Simple Distillation for One-Step Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Simple and Effective Specialized Representations for Fair Classifiers	✅	✅	✅	❌	✅	❌	✅	5
Simple and Efficient Heterogeneous Temporal Graph Neural Network	❌	✅	✅	✅	✅	✅	✅	6
Simple and Optimal Sublinear Algorithms for Mean Estimation	✅	✅	✅	❌	✅	❌	✅	5
SimpleStrat: Diversifying Language Model Generation with Stratification	❌	✅	✅	✅	✅	❌	✅	5
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning	❌	✅	✅	✅	✅	❌	✅	5
SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation	❌	✅	✅	❌	✅	❌	✅	4
Simulation-Based Inference for Adaptive Experiments	✅	✅	✅	❌	✅	❌	✅	5
Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression	✅	❌	✅	✅	✅	❌	✅	5
Simultaneous Statistical Inference for Off-Policy Evaluation in Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Simultaneous Swap Regret Minimization via KL-Calibration	✅	❌	❌	❌	❌	❌	❌	1
SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference	❌	❌	✅	✅	✅	✅	✅	5
Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis	✅	✅	✅	✅	✅	✅	✅	7
Single-Step Operator Learning for Conditioned Time-Series Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity	❌	✅	✅	✅	✅	❌	✅	5
Single-pass Adaptive Image Tokenization for Minimum Program Search	✅	✅	✅	❌	✅	❌	✅	5
Sinusoidal Initialization, Time for a New Start	❌	✅	✅	✅	✅	❌	✅	5
SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning	✅	✅	✅	✅	❌	❌	✅	5
Size-adaptive Hypothesis Testing for Fairness	✅	✅	✅	✅	✅	❌	✅	6
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks	✅	✅	✅	✅	✅	✅	✅	7
SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches	✅	✅	✅	❌	✅	✅	✅	6
Sketched Adaptive Distributed Deep Learning: A Sharp Convergence Analysis	✅	✅	✅	✅	✅	❌	✅	6
Sketched Gaussian Mechanism for Private Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Skill-Driven Neurosymbolic State Abstractions	✅	✅	✅	❌	✅	❌	✅	5
Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling	✅	❌	✅	❌	✅	❌	✅	4
SkyLadder: Better and Faster Pretraining via Context Window Scheduling	✅	✅	✅	❌	✅	❌	✅	5
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families	❌	✅	✅	✅	✅	✅	✅	6
Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks	✅	✅	❌	❌	❌	✅	✅	4
Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation is Wasteful	❌	✅	✅	❌	✅	❌	✅	4
Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators	❌	❌	❌	❌	❌	❌	❌	0
Small Singular Values Matter: A Random Matrix Analysis of Transformer Models	❌	✅	✅	❌	✅	❌	✅	4
SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference	✅	✅	✅	✅	✅	✅	✅	7
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints	✅	✅	❌	✅	✅	❌	✅	5
SmartCache: Context-aware Semantic Cache for Efficient Multi-turn LLM Inference	✅	❌	✅	✅	✅	✅	✅	6
Smooth Quadratic Prediction Markets	❌	✅	❌	❌	❌	❌	✅	2
Smooth Regularization for Efficient Video Recognition	❌	✅	✅	❌	✅	❌	✅	4
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations	✅	✅	✅	✅	✅	✅	✅	7
Smooth and Flexible Camera Movement Synthesis via Temporal Masked Generative Modeling	❌	❌	✅	✅	✅	❌	✅	4
Smoothed Agnostic Learning of Halfspaces over the Hypercube	✅	❌	❌	❌	❌	❌	❌	1
Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations	✅	✅	✅	❌	✅	❌	✅	5
SnapMoGen: Human Motion Generation from Expressive Texts	❌	❌	✅	✅	✅	❌	✅	4
SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation	❌	✅	✅	✅	✅	❌	✅	5
SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization	✅	❌	✅	✅	✅	❌	✅	5
SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement	❌	✅	✅	✅	✅	❌	✅	5
Social World Model-Augmented Mechanism Design Policy Learning	✅	❌	✅	❌	✅	❌	✅	4
Soft Task-Aware Routing of Experts for Equivariant Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space	✅	✅	✅	❌	✅	✅	✅	6
Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths	✅	❌	✅	✅	✅	✅	✅	6
Solver-Free Decision-Focused Learning for Linear Optimization Problems	✅	✅	✅	✅	✅	✅	✅	7
Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling	❌	✅	✅	✅	✅	❌	✅	5
SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search	❌	✅	✅	✅	❌	❌	✅	4
Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics	✅	❌	❌	❌	✅	❌	✅	3
Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization	✅	✅	✅	❌	❌	❌	✅	4
Solving Inverse Problems with FLAIR	✅	✅	✅	✅	✅	❌	✅	6
Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics	❌	❌	❌	❌	❌	❌	❌	0
Solving Partial Differential Equations via Radon Neural Operator	❌	✅	✅	✅	✅	❌	✅	5
Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes	❌	✅	❌	❌	❌	❌	✅	2
Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation	✅	❌	✅	❌	✅	❌	✅	4
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness	❌	✅	✅	✅	✅	❌	✅	5
SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement	❌	✅	❌	❌	✅	❌	✅	3
Sound Logical Explanations for Mean Aggregation Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
SpEx: A Spectral Approach to Explainable Clustering	✅	✅	✅	✅	❌	❌	✅	5
Space Group Equivariant Crystal Diffusion	✅	✅	✅	✅	✅	❌	✅	6
SpaceServe: Spatial Multiplexing of Complementary Encoders and Decoders for Multimodal LLMs	✅	✅	✅	❌	✅	✅	✅	6
Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling	❌	❌	✅	❌	✅	❌	✅	3
Spark Transformer: Reactivating Sparsity in Transformer FFN and Attention	❌	❌	❌	❌	✅	❌	✅	2
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems	❌	✅	✅	✅	❌	❌	✅	4
Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited	❌	✅	✅	✅	✅	❌	✅	5
Sparse Image Synthesis via Joint Latent and RoI Flow	❌	❌	✅	✅	✅	❌	✅	4
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning	✅	✅	✅	❌	✅	❌	✅	5
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations	✅	❌	✅	✅	❌	❌	✅	4
Sparse Optimistic Information Directed Sampling	❌	✅	❌	❌	✅	❌	✅	3
Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation	✅	❌	✅	❌	✅	❌	✅	4
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation	❌	✅	✅	❌	✅	✅	✅	5
SparseDiT: Token Sparsification for Efficient Diffusion Transformer	❌	✅	✅	✅	✅	❌	✅	5
SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering	✅	✅	✅	❌	✅	✅	✅	6
Sparta Alignment: Collectively Aligning Multiple Language Models through Combat	✅	✅	✅	✅	✅	❌	✅	6
Spatial Understanding from Videos: Structured Prompts Meet Simulation Data	❌	✅	✅	✅	✅	❌	✅	5
Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems	✅	✅	✅	✅	✅	✅	✅	7
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence	✅	❌	✅	✅	✅	❌	✅	5
SpatialLM: Training Large Language Models for Structured Indoor Modeling	❌	✅	✅	✅	✅	❌	✅	5
SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning	❌	✅	✅	✅	✅	✅	✅	6
Spatially-aware Weights Tokenization for NeRF-Language Models	✅	❌	✅	✅	✅	❌	✅	5
Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search	✅	✅	✅	✅	✅	❌	✅	6
SpecEM: Training-Free LLM Ensembling via Iterative Drafting, Verification, and Online Feedback	❌	✅	✅	✅	✅	❌	✅	5
SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs	❌	✅	✅	❌	✅	❌	✅	4
SpecMAS: A Multi-Agent System for Self-Verifying System Generation via Formal Model Checking	✅	✅	✅	❌	✅	❌	✅	5
SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding	✅	✅	✅	❌	✅	❌	✅	5
SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning	❌	✅	✅	❌	✅	✅	✅	5
SpectraLDS: Provable Distillation for Linear Dynamical Systems	✅	✅	✅	❌	✅	❌	✅	5
Spectral Analysis of Diffusion Models with Application to Schedule Design	❌	❌	✅	❌	❌	❌	❌	1
Spectral Analysis of Representational Similarity with Limited Neurons	✅	✅	✅	❌	✅	❌	✅	5
Spectral Compressive Imaging via Chromaticity-Intensity Decomposition	❌	✅	✅	✅	✅	❌	✅	5
Spectral Conditioning of Attention Improves Transformer Performance	❌	❌	✅	✅	✅	❌	✅	4
Spectral Convolutional Conditional Neural Processes	❌	✅	✅	✅	✅	❌	✅	5
Spectral Estimation with Free Decompression	✅	✅	✅	✅	✅	❌	✅	6
Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold	✅	❌	✅	✅	✅	❌	✅	5
Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum	❌	✅	✅	✅	❌	❌	✅	4
Spectral Learning for Infinite-Horizon Average-Reward POMDPs	✅	✅	❌	❌	✅	❌	✅	4
Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy	❌	✅	✅	❌	❌	❌	✅	3
Speculate Deep and Accurate: Lossless and Training-Free Acceleration for Offloaded LLMs via Substitute Speculative Decoding	❌	✅	✅	❌	✅	❌	✅	4
Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation	❌	❌	✅	✅	✅	❌	✅	4
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping	✅	✅	✅	✅	✅	❌	✅	6
SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries	❌	✅	✅	✅	✅	❌	✅	5
Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields	❌	✅	✅	✅	❌	❌	✅	4
Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks	❌	❌	✅	✅	✅	❌	✅	4
Spike-timing-dependent Hebbian learning as noisy gradient descent	✅	✅	❌	❌	❌	❌	✅	3
Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array	❌	❌	❌	❌	✅	❌	✅	2
Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Spiking Neural Networks Need High-Frequency Information	❌	✅	✅	✅	✅	❌	✅	5
SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding	❌	✅	✅	✅	✅	❌	✅	5
Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding	❌	✅	✅	✅	✅	❌	✅	5
SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography	❌	✅	✅	✅	✅	❌	✅	5
Split Gibbs Discrete Diffusion Posterior Sampling	✅	✅	✅	❌	✅	❌	✅	5
Split conformal classification with unsupervised calibration	✅	✅	✅	✅	❌	❌	✅	5
SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing	❌	✅	✅	❌	❌	❌	✅	3
Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation	❌	✅	✅	✅	✅	❌	✅	5
Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval	✅	✅	✅	✅	✅	❌	✅	6
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection	✅	✅	✅	✅	✅	❌	✅	6
Squared families are useful conjugate priors	✅	✅	✅	✅	✅	❌	✅	6
Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios	✅	✅	✅	✅	❌	❌	✅	5
Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions	✅	✅	✅	✅	✅	❌	✅	6
Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$	❌	❌	❌	❌	❌	❌	❌	0
Stabilizing LTI Systems under Partial Observability: Sample Complexity and Fundamental Limits	✅	✅	❌	❌	❌	❌	✅	3
Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation	❌	❌	❌	✅	❌	✅	✅	3
Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes	✅	✅	✅	✅	✅	❌	✅	6
Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning	❌	❌	✅	❌	✅	❌	✅	3
Stable Matching with Ties: Approximation Ratios and Learning	✅	❌	❌	❌	❌	❌	❌	1
Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon	❌	❌	❌	❌	❌	❌	✅	1
Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation	❌	❌	❌	❌	✅	❌	✅	2
Stable Port-Hamiltonian Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Stackelberg Learning with Outcome-based Payment	✅	❌	❌	❌	❌	❌	❌	1
Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment	✅	✅	✅	✅	✅	❌	✅	6
Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training	✅	❌	❌	❌	✅	❌	✅	3
State Entropy Regularization for Robust Reinforcement Learning	❌	✅	❌	❌	✅	❌	✅	3
State Size Independent Statistical Error Bound for Discrete Diffusion Models	✅	❌	❌	❌	❌	❌	✅	2
State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding	❌	✅	✅	✅	✅	❌	✅	5
State-Covering Trajectory Stitching for Diffusion Planners	✅	✅	✅	✅	✅	❌	✅	6
StateSpaceDiffuser: Bringing Long Context to Diffusion World Models	❌	❌	✅	❌	✅	❌	✅	3
Statistical Analysis of an Adversarial Bayesian Weak Supervision Method	❌	✅	✅	✅	✅	✅	✅	6
Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation	✅	✅	✅	❌	✅	✅	✅	6
Statistical Guarantees for High-Dimensional Stochastic Gradient Descent	❌	❌	❌	❌	❌	❌	❌	0
Statistical Inference for Gradient Boosting Regression	✅	✅	✅	✅	✅	❌	✅	6
Statistical Inference under Performativity	❌	✅	✅	❌	✅	❌	✅	4
Statistical Parity with Exponential Weights	✅	❌	❌	❌	❌	❌	❌	1
Statistical inference for Linear Stochastic Approximation with Markovian Noise	❌	✅	❌	❌	✅	❌	✅	3
Statistics Caching Test-Time Adaptation for Vision-Language Models	❌	❌	✅	✅	✅	❌	✅	4
Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification	✅	✅	✅	✅	✅	❌	✅	6
SteerConf: Steering LLMs for Confidence Elicitation	❌	✅	✅	❌	❌	❌	✅	3
Steering Generative Models with Experimental Data for Protein Fitness Optimization	✅	✅	✅	✅	✅	❌	✅	6
Steering Information Utility in Key-Value Memory for Language Model Post-Training	❌	✅	✅	❌	✅	❌	✅	4
Steering When Necessary: Flexible Steering Large Language Models with Backtracking	✅	❌	✅	❌	✅	❌	✅	4
StegoZip: Enhancing Linguistic Steganography Payload in Practice with Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold	✅	✅	✅	❌	✅	❌	✅	5
Stepsize anything: A unified learning rate schedule for budgeted-iteration training	❌	✅	✅	✅	✅	✅	✅	6
Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding	✅	❌	✅	✅	✅	❌	✅	5
Stochastic Forward-Forward Learning through Representational Dimensionality Compression	❌	✅	✅	✅	✅	❌	✅	5
Stochastic Gradients under Nuisances	❌	✅	✅	❌	❌	❌	✅	3
Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization	✅	✅	✅	✅	✅	❌	✅	6
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate	✅	✅	❌	❌	❌	❌	✅	3
Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies	✅	❌	❌	❌	❌	❌	❌	1
Stochastic Process Learning via Operator Flow Matching	✅	✅	✅	✅	✅	❌	✅	6
Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization	✅	✅	✅	❌	❌	❌	✅	4
Stochastic Shortest Path with Sparse Adversarial Costs	✅	❌	❌	❌	❌	❌	❌	1
Stochastically Dominant Peer Prediction	❌	✅	✅	❌	❌	❌	✅	3
Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning	❌	✅	✅	❌	❌	❌	✅	3
Storyboard-guided Alignment for Fine-grained Video Action Recognition	❌	❌	✅	✅	❌	❌	✅	3
Straight-Line Diffusion Model for Efficient 3D Molecular Generation	✅	✅	✅	✅	✅	❌	✅	6
Strassen Attention, Split VC Dimension and Compositionality in Transformers	✅	✅	✅	✅	✅	✅	✅	7
Strategic Classification with Non-Linear Classifiers	❌	✅	❌	❌	❌	❌	✅	2
Strategic Cost Selection in Participatory Budgeting	✅	✅	✅	❌	✅	❌	✅	5
Strategic Costs of Perceived Bias in Fair Selection	✅	✅	✅	❌	❌	❌	✅	4
Strategic Hypothesis Testing	❌	✅	✅	❌	✅	❌	✅	4
Strategyproof Reinforcement Learning from Human Feedback	✅	❌	❌	❌	❌	❌	✅	2
Stratify or Die: Rethinking Data Splits in Image Segmentation	✅	✅	✅	✅	✅	❌	✅	6
StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs	❌	✅	❌	❌	✅	❌	✅	3
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant	✅	✅	✅	❌	✅	❌	✅	5
StreamFlow: Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching	❌	❌	✅	✅	✅	❌	✅	4
StreamForest: Efficient Online Video Understanding with Persistent Event Memory	❌	✅	✅	✅	✅	❌	✅	5
Streaming Attention Approximation via Discrepancy Theory	✅	✅	✅	✅	✅	❌	✅	6
Streaming Federated Learning with Markovian Data	✅	✅	✅	✅	✅	❌	✅	6
Streaming Stochastic Submodular Maximization with On-Demand User Requests	✅	✅	✅	✅	✅	❌	✅	6
StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization	✅	✅	✅	✅	✅	❌	✅	6
Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs	✅	✅	✅	✅	✅	❌	✅	6
Structural Causal Bandits under Markov Equivalence	✅	✅	❌	❌	✅	❌	✅	4
Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs	❌	✅	✅	❌	✅	❌	✅	4
Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Structure Matters: Dynamic Policy Gradient	✅	✅	❌	❌	❌	❌	✅	3
Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models	❌	✅	✅	✅	❌	✅	✅	5
Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Structure-Aware Spectral Sparsification via Uniform Edge Sampling	❌	✅	✅	❌	✅	❌	✅	4
Structured Initialization for Vision Transformers	✅	✅	✅	✅	✅	❌	✅	6
Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models	✅	✅	✅	✅	✅	❌	✅	6
Structured Reinforcement Learning for Combinatorial Decision-Making	✅	✅	✅	✅	✅	❌	✅	6
Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models	❌	✅	✅	✅	✅	✅	✅	6
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation	❌	✅	✅	✅	❌	❌	✅	4
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection	❌	❌	✅	✅	✅	✅	✅	5
Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles	❌	❌	✅	❌	✅	❌	✅	3
StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations	✅	✅	✅	✅	✅	❌	✅	6
SubTrack++ : Gradient Subspace Tracking for Scalable LLM Training	✅	✅	✅	❌	✅	❌	✅	5
Subgraph Federated Learning via Spectral Methods	✅	✅	✅	✅	✅	❌	✅	6
Subsampled Ensemble Can Improve Generalization Tail Exponentially	✅	✅	✅	✅	❌	❌	✅	5
Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism	❌	✅	✅	✅	✅	❌	✅	5
Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control	❌	❌	✅	✅	❌	❌	✅	3
SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications	✅	✅	✅	❌	✅	❌	✅	5
Sum Estimation under Personalized Local Differential Privacy	✅	✅	✅	❌	✅	❌	✅	5
SuperCLIP: CLIP with Simple Classification Supervision	❌	❌	✅	✅	❌	❌	✅	3
Superposition Yields Robust Neural Scaling	❌	✅	✅	✅	✅	❌	✅	5
Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP	✅	✅	✅	✅	✅	❌	✅	6
Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion	❌	❌	✅	✅	❌	❌	✅	3
SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction	✅	❌	✅	✅	✅	❌	✅	5
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning	✅	✅	✅	❌	✅	❌	✅	5
Switchable Token-Specific Codebook Quantization For Face Image Compression	❌	❌	✅	❌	✅	❌	✅	3
SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning	✅	✅	❌	✅	✅	❌	✅	5
SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning	✅	✅	✅	❌	❌	✅	✅	5
Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning	✅	✅	✅	✅	❌	❌	✅	5
SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking	❌	✅	✅	✅	✅	❌	✅	5
SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond	❌	✅	✅	✅	❌	❌	✅	4
SyncHuman: Synchronizing 2D and 3D Generative Models for Single-view Human Reconstruction	❌	❌	✅	✅	✅	✅	✅	5
Synergistic Tensor and Pipeline Parallelism	❌	✅	✅	❌	✅	❌	✅	4
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers	✅	❌	✅	✅	✅	❌	✅	5
Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning	✅	❌	✅	✅	✅	✅	✅	6
Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries	✅	✅	✅	❌	✅	❌	✅	5
Synthetic Series-Symbol Data Generation for Time Series Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Synthetic-powered predictive inference	✅	✅	✅	✅	✅	✅	✅	7
System Prompt Optimization with Meta-Learning	✅	✅	✅	✅	✅	✅	✅	7
System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts	❌	❌	✅	✅	✅	❌	✅	4
System-Embedded Diffusion Bridge Models	✅	✅	✅	✅	✅	❌	✅	6
Systematic Reward Gap Optimization for Mitigating VLM Hallucinations	✅	✅	✅	✅	✅	❌	✅	6
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning	✅	❌	✅	✅	✅	❌	✅	5
T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning	✅	✅	✅	✅	✅	❌	✅	6
T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints	✅	✅	✅	✅	✅	❌	✅	6
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT	❌	✅	✅	✅	✅	❌	✅	5
T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models	❌	✅	✅	✅	✅	✅	✅	6
T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks	❌	✅	✅	❌	✅	❌	✅	4
TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics	✅	✅	✅	❌	❌	❌	✅	4
TAI3: Testing Agent Integrity in Interpreting User Intent	❌	❌	✅	❌	❌	❌	✅	2
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction	❌	✅	✅	✅	✅	✅	✅	6
TANDEM: Bi-Level Data Mixture Optimization with Twin Networks	✅	❌	✅	❌	✅	❌	✅	4
TAPIP3D: Tracking Any Point in Persistent 3D Geometry	❌	❌	✅	✅	✅	❌	✅	4
TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE	❌	✅	✅	❌	✅	❌	❌	3
TC-Light: Temporally Coherent Generative Rendering for Realistic World Transfer	❌	❌	✅	✅	✅	❌	✅	4
TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles	✅	✅	✅	✅	✅	❌	✅	6
TF-MAS: Training-free Mamba2 Architecture Search	✅	✅	✅	❌	✅	❌	✅	5
TGA: True-to-Geometry Avatar Dynamic Reconstruction	✅	❌	✅	❌	✅	❌	✅	4
THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations	✅	✅	✅	❌	✅	✅	✅	6
TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE	✅	✅	❌	❌	✅	❌	✅	4
TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning	❌	❌	✅	✅	✅	❌	✅	4
TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making	❌	✅	✅	✅	✅	❌	✅	5
TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding	✅	✅	✅	✅	✅	❌	✅	6
TRACE: Contrastive learning for multi-trial time series data in neuroscience	❌	✅	✅	❌	✅	❌	✅	4
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval	❌	✅	✅	✅	✅	❌	✅	5
TRAP: Targeted Redirecting of Agentic Preferences	✅	✅	✅	✅	✅	✅	✅	7
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception	❌	❌	✅	✅	✅	❌	✅	4
TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence	✅	✅	✅	✅	✅	❌	✅	6
TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming	✅	✅	✅	✅	✅	❌	✅	6
TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses	✅	✅	✅	✅	✅	❌	✅	6
TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning	✅	❌	✅	✅	✅	❌	✅	5
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models	❌	✅	✅	❌	✅	❌	✅	4
TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition	✅	✅	✅	✅	✅	❌	✅	6
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster	❌	✅	✅	✅	✅	❌	✅	5
TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks	✅	✅	✅	✅	✅	❌	✅	6
TTRL: Test-Time Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation	✅	✅	✅	✅	✅	❌	✅	6
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation	❌	✅	✅	✅	✅	✅	✅	6
TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling	❌	✅	✅	✅	✅	❌	✅	5
TabDPT: Scaling Tabular Foundation Models on Real Data	✅	✅	✅	❌	✅	❌	✅	5
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields	❌	✅	✅	✅	✅	❌	✅	5
Table as a Modality for Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models	❌	✅	✅	✅	✅	❌	✅	5
Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics	❌	✅	✅	❌	❌	❌	✅	3
Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation	❌	❌	✅	✅	✅	❌	✅	4
Tackling Biased Evaluators in Dueling Bandits	✅	✅	❌	❌	✅	❌	✅	4
Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces	✅	✅	✅	✅	✅	❌	✅	6
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation	✅	✅	✅	✅	✅	❌	✅	6
Tail-Optimized Caching for LLM Inference	✅	✅	✅	❌	✅	❌	✅	5
Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras	❌	✅	✅	✅	✅	❌	✅	5
Taming Adversarial Constraints in CMDPs	✅	❌	❌	❌	❌	❌	❌	1
Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining	✅	✅	✅	❌	✅	❌	✅	5
Taming generative video models for zero-shot optical flow extraction	❌	❌	✅	✅	❌	❌	✅	3
Tapered Off-Policy REINFORCE - Stable and efficient reinforcement learning for large language models	✅	❌	✅	✅	✅	❌	✅	5
Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments	✅	✅	✅	✅	✅	❌	✅	6
Targeted Maximum Likelihood Learning: An Optimization Perspective	✅	❌	❌	❌	❌	❌	❌	1
Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain	✅	✅	✅	✅	✅	❌	✅	6
Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations	✅	❌	✅	✅	✅	❌	✅	5
Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack	✅	✅	✅	✅	✅	❌	✅	6
Taxonomy of reduction matrices for Graph Coarsening	✅	✅	✅	✅	❌	❌	✅	5
Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment	❌	✅	✅	✅	✅	❌	✅	5
Teaching Language Models to Reason with Tools	✅	✅	✅	✅	✅	❌	✅	6
Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error	❌	✅	✅	✅	✅	❌	✅	5
Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context	❌	✅	❌	❌	✅	❌	✅	3
TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs	❌	✅	✅	✅	✅	❌	✅	5
Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes	❌	❌	✅	❌	❌	❌	✅	2
Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization	✅	❌	✅	✅	✅	✅	✅	6
Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames	❌	❌	✅	❌	✅	❌	✅	3
Temporal In‑Context Fine‑Tuning with Temporal Reasoning for Versatile Control of Video Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving	✅	❌	✅	❌	❌	❌	✅	3
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following	✅	✅	✅	✅	✅	❌	✅	6
Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting	❌	✅	✅	❌	✅	❌	✅	4
Temporal-Difference Variational Continual Learning	❌	✅	✅	✅	✅	❌	✅	5
Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations	❌	✅	✅	✅	✅	❌	✅	5
Tensor Product Attention Is All You Need	✅	✅	✅	✅	✅	❌	✅	6
Tensor-Parallelism with Partially Synchronized Activations	❌	✅	✅	❌	✅	❌	✅	4
TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search	✅	✅	✅	❌	✅	❌	✅	5
Test Time Scaling for Neural Processes	✅	✅	✅	✅	✅	✅	✅	7
Test-Time Adaptation by Causal Trimming	❌	✅	✅	✅	✅	✅	✅	6
Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation	❌	✅	✅	❌	✅	❌	✅	4
Test-Time Adaptive Object Detection with Foundation Model	❌	✅	✅	✅	✅	❌	✅	5
Test-Time Scaling of Diffusion Models via Noise Trajectory Search	✅	✅	✅	❌	✅	❌	✅	5
Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Test3R: Learning to Reconstruct 3D at Test Time	❌	✅	✅	✅	❌	❌	❌	3
Text to Sketch Generation with Multi-Styles	❌	✅	✅	❌	✅	❌	✅	4
Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders	❌	✅	✅	✅	✅	❌	✅	5
Text-to-Code Generation for Modular Building Layouts in Building Information Modeling	❌	✅	✅	✅	✅	✅	✅	6
Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision	✅	✅	✅	✅	✅	❌	✅	6
The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control	❌	✅	✅	✅	✅	❌	✅	5
The Adaptive Complexity of Minimizing Relative Fisher Information	✅	❌	❌	❌	❌	❌	❌	1
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation	❌	✅	✅	✅	✅	❌	✅	5
The Best Instruction-Tuning Data are Those That Fit	❌	❌	✅	❌	✅	❌	✅	3
The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective	❌	✅	❌	❌	✅	❌	✅	3
The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective	❌	✅	✅	✅	✅	❌	✅	5
The Burden of Interactive Alignment with Inconsistent Preferences	❌	❌	❌	❌	❌	❌	❌	0
The Complexity of Correlated Equilibria in Generalized Games	❌	❌	❌	❌	❌	❌	❌	0
The Complexity of Finding Local Optima in Contrastive Learning	❌	✅	❌	❌	❌	❌	❌	1
The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games	❌	❌	❌	❌	❌	❌	❌	0
The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets	✅	✅	❌	❌	❌	❌	✅	3
The Computational Complexity of Counting Linear Regions in ReLU Neural Networks	✅	❌	❌	❌	❌	❌	❌	1
The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation	✅	❌	❌	❌	❌	❌	✅	2
The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets	❌	❌	❌	❌	❌	❌	❌	0
The Curse of Depth in Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
The Dual Nature of Plasticity Loss in Deep Continual Learning: Dissection and Mitigation	✅	❌	✅	✅	✅	✅	✅	6
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model	✅	✅	✅	❌	✅	❌	❌	4
The Emergence of Abstract Thought in Large Language Models Beyond Any Language	✅	✅	✅	✅	✅	❌	✅	6
The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models	❌	✅	✅	✅	❌	❌	✅	4
The Flood Complex: Large-Scale Persistent Homology on Millions of Points	❌	✅	✅	✅	✅	✅	✅	6
The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition	❌	✅	✅	❌	✅	❌	✅	4
The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization	❌	✅	✅	❌	✅	❌	✅	4
The Future Unmarked: Watermark Removal in AI-Generated Images via Next-Frame Prediction	❌	✅	✅	✅	✅	✅	✅	6
The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches	✅	✅	✅	✅	✅	❌	✅	6
The Generative Leap: Tight Sample Complexity for Efficiently Learning Gaussian Multi-Index Models	✅	❌	❌	❌	❌	❌	❌	1
The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses	✅	❌	❌	❌	❌	❌	❌	1
The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis	❌	✅	✅	✅	✅	❌	✅	5
The Hawthorne Effect in Reasoning Models: Evaluating and Steering Test Awareness	✅	✅	✅	✅	✅	❌	✅	6
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity	✅	❌	✅	❌	✅	✅	✅	5
The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels	❌	✅	✅	✅	✅	✅	✅	6
The Indra Representation Hypothesis for Multimodal Alignment	❌	✅	✅	✅	❌	❌	❌	3
The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement	✅	✅	✅	✅	✅	❌	✅	6
The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics	❌	❌	❌	❌	❌	❌	❌	0
The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control	✅	✅	✅	❌	✅	❌	✅	5
The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?	❌	✅	✅	✅	✅	❌	✅	5
The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models	❌	✅	✅	✅	✅	❌	✅	5
The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability?	✅	✅	✅	✅	✅	❌	✅	6
The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks	✅	✅	❌	❌	❌	❌	✅	3
The Omni-Expert: A Computationally Efficient Approach to Achieve a Mixture of Experts in a Single Expert Model	❌	❌	✅	✅	✅	❌	✅	4
The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training	❌	✅	✅	❌	✅	❌	✅	4
The Parameterized Complexity of Computing the VC-Dimension	❌	❌	❌	❌	❌	❌	❌	0
The Persistence of Neural Collapse Despite Low-Rank Bias	❌	❌	✅	✅	❌	❌	✅	3
The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination	✅	❌	❌	❌	❌	❌	❌	1
The Price of Opportunity Fairness in Matroid Allocation Problems	❌	❌	❌	❌	❌	❌	❌	0
The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements	❌	❌	❌	❌	❌	❌	❌	0
The Primacy of Magnitude in Low-Rank Adaptation	✅	❌	✅	✅	✅	❌	✅	5
The Promise of RL for Autoregressive Image Editing	✅	✅	✅	❌	✅	❌	✅	5
The Quest for Universal Master Key Filters in DS-CNNs	✅	✅	✅	✅	✅	❌	✅	6
The Quotient Bayesian Learning Rule	✅	✅	✅	✅	✅	✅	✅	7
The Rich and the Simple: On the Implicit Bias of Adam and SGD	❌	❌	✅	✅	✅	❌	✅	4
The Rise of Parameter Specialization for Knowledge Storage in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
The Structural Complexity of Matrix-Vector Multiplication	✅	✅	❌	❌	✅	❌	✅	4
The Structure of Relation Decoding Linear Operators in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning	❌	✅	✅	✅	✅	❌	✅	5
The Underappreciated Power of Vision Models for Graph Structural Understanding	✅	✅	✅	✅	✅	❌	✅	6
The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning	✅	✅	✅	✅	✅	❌	✅	6
The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples	✅	❌	✅	✅	✅	❌	✅	5
The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense	❌	❌	✅	❌	❌	❌	❌	1
The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis	❌	✅	❌	❌	❌	❌	✅	2
The emergence of sparse attention: impact of data distribution and benefits of repetition	❌	✅	❌	❌	✅	❌	✅	3
The quest for the GRAph Level autoEncoder (GRALE)	❌	✅	✅	✅	✅	❌	✅	5
The third pillar of causal analysis? A measurement perspective on causal representations	✅	✅	✅	❌	✅	❌	✅	5
Theoretical Benefit and Limitation of Diffusion Language Model	✅	❌	❌	✅	✅	❌	✅	4
Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms	✅	✅	❌	❌	✅	❌	✅	4
Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization	✅	❌	✅	❌	✅	❌	✅	4
Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach	✅	✅	✅	✅	✅	❌	✅	6
Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning	❌	❌	✅	✅	✅	❌	✅	4
ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation	❌	✅	✅	✅	✅	❌	✅	5
Think Only When You Need with Large Hybrid-Reasoning Models	✅	✅	✅	❌	✅	❌	✅	5
Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains	❌	✅	✅	✅	✅	❌	✅	5
Think before Recommendation: Autonomous Reasoning-enhanced Recommender	✅	✅	✅	❌	✅	✅	✅	6
Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens	❌	✅	✅	❌	❌	❌	✅	3
Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models	✅	✅	✅	✅	✅	❌	✅	6
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models	❌	✅	✅	❌	✅	❌	✅	4
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning	❌	❌	✅	✅	✅	❌	✅	4
ThinkSound: Chain-of-Thought Reasoning in Multimodal LLMs for Audio Generation and Editing	❌	✅	✅	✅	✅	❌	✅	5
Thinker: Learning to Think Fast and Slow	✅	✅	✅	❌	✅	❌	✅	5
Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning	✅	✅	✅	✅	✅	❌	✅	6
Thinking vs. Doing: Improving Agent Reasoning by Scaling Test-Time Interaction	✅	✅	✅	✅	✅	❌	✅	6
Thinkless: LLM Learns When to Think	❌	✅	✅	❌	✅	❌	✅	4
This Time is Different: An Observability Perspective on Time Series Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
Thompson Sampling for Multi-Objective Linear Contextual Bandit	✅	✅	❌	❌	✅	✅	✅	5
Thompson Sampling in Function Spaces via Neural Operators	✅	✅	✅	❌	✅	❌	✅	5
Thought Communication in Multiagent Collaboration	❌	❌	✅	✅	✅	❌	❌	3
Thoughts Are All Over the Place: On the Underthinking of Long Reasoning Models	❌	✅	✅	✅	❌	❌	✅	4
Thresholds for sensitive optimality and Blackwell optimality in stochastic games	❌	❌	❌	❌	❌	❌	❌	0
Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training	✅	✅	✅	✅	✅	❌	✅	6
Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining	❌	✅	✅	✅	✅	❌	✅	5
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning	✅	✅	✅	✅	✅	❌	✅	6
Tight Asymptotics of Extreme Order Statistics	❌	✅	❌	❌	❌	❌	✅	2
Tight Bounds for Answering Adaptively Chosen Concentrated Queries	✅	❌	❌	❌	❌	❌	❌	1
Tight Bounds for Maximum Weight Matroid Independent Set and Matching in the Zero Communication Model	✅	❌	❌	❌	❌	❌	❌	1
Tight Bounds on the Distortion of Randomized and Deterministic Distributed Voting	❌	❌	❌	❌	❌	❌	❌	0
Tight Generalization Bounds for Large-Margin Halfspaces	❌	❌	❌	❌	❌	❌	❌	0
Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions	✅	❌	✅	✅	✅	❌	✅	5
Tight Lower Bounds and Improved Convergence in Performative Prediction	❌	✅	✅	❌	✅	❌	✅	4
Tight analyses of first-order methods with error feedback	✅	✅	❌	❌	✅	✅	✅	5
Tightening Regret Lower and Upper Bounds in Restless Rising Bandits	✅	✅	❌	❌	✅	❌	✅	4
Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization	❌	❌	❌	❌	❌	❌	❌	0
Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels	✅	✅	✅	❌	✅	✅	✅	6
Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach	✅	✅	✅	✅	✅	❌	✅	6
Time-Embedded Algorithm Unrolling for Computational MRI	✅	✅	✅	✅	✅	❌	✅	6
Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity	❌	✅	✅	✅	✅	❌	✅	5
Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding	✅	✅	✅	✅	✅	❌	✅	6
Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding	❌	❌	✅	✅	❌	❌	✅	3
Time-o1: Time-Series Forecasting Needs Transformed Label Alignment	✅	✅	✅	✅	✅	❌	✅	6
Time-uniform and Asymptotic Confidence Sequence of Quantile under Local Differential Privacy	✅	✅	✅	❌	✅	❌	✅	5
TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting	✅	✅	✅	✅	✅	✅	✅	7
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
TimeWak: Temporal Chained-Hashing Watermark for Time Series Data	❌	✅	✅	✅	✅	✅	✅	6
TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop	✅	✅	✅	✅	✅	✅	✅	7
Timely Clinical Diagnosis through Active Test Selection	✅	✅	✅	❌	❌	✅	✅	5
Titans: Learning to Memorize at Test Time	❌	❌	✅	✅	❌	❌	✅	3
To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable RL	❌	❌	✅	✅	✅	❌	✅	4
To Think or Not To Think: A Study of Thinking in Rule-Based Visual Reinforcement Fine-Tuning	❌	✅	✅	✅	✅	❌	✅	5
ToF-IP: Time-of-Flight Enhanced Sparse Inertial Poser for Real-time Human Motion Capture	❌	❌	❌	❌	✅	✅	✅	3
TokMan:Tokenize Manhattan Mask Optimization for Inverse Lithography	❌	❌	✅	✅	✅	❌	✅	4
Token Bottleneck: One Token to Remember Dynamics	❌	✅	✅	✅	❌	❌	✅	4
Token Embeddings Violate the Manifold Hypothesis	✅	✅	✅	❌	✅	❌	✅	5
Token Perturbation Guidance for Diffusion Models	✅	✅	✅	✅	❌	❌	✅	5
Token-Level Self-Play with Importance-Aware Guidance for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs	❌	✅	✅	❌	✅	❌	✅	4
TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs	✅	✅	✅	✅	✅	❌	✅	6
Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval	❌	✅	✅	✅	✅	❌	✅	5
Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task	✅	✅	✅	✅	✅	✅	✅	7
ToolRL: Reward is All Tool Learning Needs	✅	✅	✅	❌	✅	❌	✅	5
Top-H Decoding: Adapting the Creativity and Coherence with Bounded Entropy in Text Generation	✅	✅	✅	✅	✅	✅	✅	7
TopER: Topological Embeddings in Graph Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving	✅	✅	✅	❌	✅	❌	✅	5
Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties	✅	✅	✅	✅	✅	❌	✅	6
Topology-Aware Conformal Prediction for Stream Networks	✅	✅	✅	✅	✅	❌	✅	6
Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve	❌	✅	✅	✅	✅	❌	✅	5
Topology-aware Graph Diffusion Model with Persistent Homology	✅	❌	✅	✅	✅	❌	✅	5
Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration	✅	✅	✅	✅	✅	❌	✅	6
Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper	❌	✅	✅	✅	❌	❌	✅	4
Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies	❌	✅	✅	✅	✅	❌	✅	5
Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts	✅	✅	✅	✅	✅	❌	✅	6
Toward Human Deictic Gesture Target Estimation	❌	✅	✅	✅	✅	❌	✅	5
Toward Interpretable Evaluation Measures for Time Series Segmentation	✅	✅	✅	❌	✅	❌	✅	5
Toward Relative Positional Encoding in Spiking Transformers	❌	✅	✅	✅	✅	❌	✅	5
Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction	❌	✅	✅	✅	✅	❌	✅	5
Towards 3D Objectness Learning in an Open World	✅	❌	✅	❌	✅	❌	✅	4
Towards Accurate Time Series Forecasting via Implicit Decoding	✅	✅	✅	✅	✅	✅	✅	7
Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy	❌	✅	✅	✅	✅	❌	✅	5
Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models	✅	❌	✅	❌	✅	❌	✅	4
Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs	❌	✅	✅	✅	✅	❌	✅	5
Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients	✅	✅	✅	✅	❌	✅	✅	6
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery	❌	❌	✅	✅	✅	❌	✅	4
Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement	❌	✅	✅	✅	✅	✅	✅	6
Towards Fully FP8 GEMM LLM Training at Scale	❌	✅	✅	❌	✅	❌	✅	4
Towards General Continuous Memory for Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge	❌	❌	✅	✅	✅	❌	✅	4
Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes	❌	✅	✅	✅	✅	❌	✅	5
Towards Generalizable Detector for Generated Image	❌	✅	✅	✅	✅	❌	✅	5
Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling	✅	❌	✅	✅	✅	❌	✅	5
Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors	❌	✅	✅	✅	✅	❌	✅	5
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs	❌	✅	✅	✅	✅	❌	✅	5
Towards Identifiability of Hierarchical Temporal Causal Representation Learning	❌	✅	✅	✅	❌	❌	✅	4
Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era	❌	❌	✅	✅	✅	❌	✅	4
Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders	❌	✅	✅	✅	✅	❌	✅	5
Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few	✅	✅	✅	✅	❌	❌	✅	5
Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search	❌	✅	✅	❌	✅	✅	✅	5
Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds	✅	✅	✅	✅	✅	❌	✅	6
Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration	✅	✅	✅	✅	✅	❌	✅	6
Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration	❌	❌	✅	❌	❌	❌	✅	2
Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs	❌	✅	✅	✅	✅	❌	✅	5
Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach	✅	❌	❌	✅	✅	❌	✅	4
Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study	✅	✅	✅	✅	✅	❌	✅	6
Towards Pre-trained Graph Condensation via Optimal Transport	✅	✅	✅	✅	✅	✅	✅	7
Towards Predicting Any Human Trajectory In Context	❌	✅	✅	✅	✅	❌	✅	5
Towards Principled Unsupervised Multi-Agent Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport	✅	✅	✅	✅	✅	❌	✅	6
Towards Provable Emergence of In-Context Reinforcement Learning	✅	✅	❌	✅	✅	❌	✅	5
Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology	❌	✅	✅	✅	✅	❌	✅	5
Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning	✅	✅	✅	❌	✅	✅	✅	6
Towards Reliable Identification of Diffusion-based Image Manipulations	❌	❌	✅	✅	✅	✅	✅	5
Towards Reliable LLM-based Robots Planning via Combined Uncertainty Estimation	❌	✅	✅	❌	✅	❌	✅	4
Towards Reliable and Holistic Visual In-Context Learning Prompt Selection	✅	✅	✅	✅	❌	❌	✅	5
Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning	✅	✅	✅	✅	✅	❌	✅	6
Towards Robust Parameter-Efficient Fine-Tuning for Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective	✅	❌	✅	✅	✅	❌	✅	5
Towards Robust Uncertainty Calibration for Composed Image Retrieval	❌	❌	✅	✅	✅	❌	✅	4
Towards Robust Zero-Shot Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Towards Self-Refinement of Vision-Language Models with Triangular Consistency	✅	✅	✅	✅	✅	❌	✅	6
Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts	❌	✅	✅	✅	✅	✅	✅	6
Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach	✅	✅	✅	❌	✅	❌	✅	5
Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions	✅	✅	✅	✅	✅	❌	✅	6
Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning	❌	✅	✅	✅	✅	❌	✅	5
Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons	✅	✅	✅	✅	✅	❌	✅	6
Towards Understanding Transformers in Learning Random Walks	❌	❌	❌	✅	❌	❌	✅	2
Towards Understanding the Mechanisms of Classifier-Free Guidance	❌	❌	✅	❌	✅	❌	✅	3
Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization	❌	✅	✅	❌	✅	❌	✅	4
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling	✅	✅	✅	✅	✅	❌	✅	6
Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming	✅	✅	✅	✅	✅	✅	✅	7
Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN	✅	✅	✅	✅	✅	❌	✅	6
Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models	❌	✅	✅	❌	✅	❌	✅	4
Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds	✅	✅	✅	✅	✅	❌	✅	6
Towards a Geometric Understanding of Tensor Learning via the t-Product	❌	✅	✅	❌	❌	❌	❌	2
Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations	✅	✅	✅	❌	✅	❌	✅	5
Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement	❌	❌	✅	✅	❌	❌	✅	3
Towards foundational LiDAR world models with efficient latent flow matching	❌	✅	✅	✅	✅	❌	✅	5
Towards the Resistance of Neural Network Fingerprinting to Fine-tuning	❌	✅	✅	❌	✅	❌	✅	4
ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training	✅	✅	✅	✅	✅	❌	✅	6
Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning	✅	❌	✅	✅	✅	❌	✅	5
Tracing the Representation Geometry of Language Models from Pretraining to Post-training	❌	❌	✅	✅	✅	❌	✅	4
Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution	✅	✅	✅	✅	✅	❌	✅	6
Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling	❌	❌	❌	❌	✅	❌	✅	2
Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding	❌	❌	✅	❌	✅	❌	✅	3
Tracking and Understanding Object Transformations	❌	✅	✅	✅	✅	✅	✅	6
TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels	❌	✅	✅	❌	✅	❌	❌	3
Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities	✅	✅	✅	✅	✅	❌	✅	6
TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks	✅	✅	✅	✅	✅	❌	✅	6
Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning	✅	❌	❌	❌	❌	❌	❌	1
Train on Pins and Test on Obstacles for Rectilinear Steiner Minimum Tree	✅	✅	✅	✅	✅	❌	✅	6
Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks	❌	✅	✅	✅	✅	❌	✅	5
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression	❌	✅	❌	✅	✅	❌	✅	4
Training Language Models to Generate Quality Code with Program Analysis Feedback	❌	✅	✅	✅	✅	❌	✅	5
Training Language Models to Reason Efficiently	❌	✅	✅	❌	✅	❌	✅	4
Training Robust Graph Neural Networks by Modeling Noise Dependencies	✅	✅	✅	✅	✅	❌	✅	6
Training a Scientific Reasoning Model for Chemistry	✅	✅	✅	✅	✅	❌	✅	6
Training the Untrainable: Introducing Inductive Bias via Representational Alignment	✅	✅	✅	✅	✅	❌	✅	6
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Training-Free Constrained Generation With Stable Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Training-Free Efficient Video Generation via Dynamic Token Carving	✅	❌	✅	✅	✅	❌	✅	5
Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models	✅	✅	✅	❌	✅	❌	✅	5
Training-Free Safe Denoisers for Safe Use of Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models	✅	✅	✅	✅	✅	✅	✅	7
Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models	❌	❌	✅	✅	✅	❌	✅	4
Training-free Detection of AI-generated images via Cropping Robustness	✅	❌	✅	✅	✅	❌	✅	5
Training-free Online Video Step Grounding	❌	✅	✅	✅	✅	❌	✅	5
TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration	❌	✅	✅	❌	✅	❌	✅	4
TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model	❌	✅	✅	✅	✅	❌	✅	5
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training	❌	✅	✅	✅	✅	✅	✅	6
Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning	✅	✅	✅	✅	✅	❌	✅	6
Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design	✅	❌	✅	❌	✅	❌	✅	4
TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems	✅	✅	✅	✅	✅	❌	✅	6
TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup	❌	✅	✅	❌	✅	❌	✅	4
Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness	✅	✅	✅	✅	✅	❌	✅	6
Transductive Conformal Inference for Full Ranking	✅	✅	✅	✅	❌	❌	✅	5
Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift	✅	✅	❌	❌	✅	❌	✅	4
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression	✅	✅	❌	✅	✅	❌	✅	5
Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model	✅	✅	✅	✅	❌	❌	✅	5
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability	❌	✅	✅	✅	✅	❌	✅	5
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models	❌	✅	✅	✅	✅	❌	✅	5
Transferring Causal Effects using Proxies	❌	✅	✅	❌	❌	❌	✅	3
Transferring Linear Features Across Language Models With Model Stitching	❌	✅	✅	✅	✅	❌	✅	5
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning	✅	✅	✅	✅	✅	❌	✅	6
Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders	❌	✅	✅	✅	✅	❌	✅	5
Transformer brain encoders explain human high-level visual responses	❌	✅	✅	✅	✅	❌	✅	5
Transformers Learn Faster with Semantic Focus	❌	✅	✅	✅	✅	✅	✅	6
Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization	✅	❌	✅	✅	❌	❌	✅	4
Transformers are almost optimal metalearners for linear classification	❌	❌	❌	❌	✅	❌	✅	2
Transformers for Mixed-type Event Sequences	✅	✅	✅	✅	✅	✅	✅	7
Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones	✅	✅	✅	✅	✅	❌	✅	6
Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection	❌	✅	✅	✅	✅	❌	✅	5
Transition Matching: Scalable and Flexible Generative Modeling	✅	❌	✅	✅	✅	❌	✅	5
Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models	❌	✅	✅	❌	✅	❌	✅	4
Traversal Verification for Speculative Tree Decoding	✅	❌	✅	✅	✅	❌	✅	5
Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers	❌	❌	✅	❌	✅	✅	✅	4
Treatment Effect Estimation for Optimal Decision-Making	✅	✅	✅	✅	✅	❌	✅	6
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm	❌	✅	✅	✅	✅	❌	✅	5
Tree of Preferences for Diversified Recommendation	❌	✅	✅	✅	✅	✅	✅	6
Tree-Based Premise Selection for Lean4	❌	✅	✅	✅	✅	❌	✅	5
Tree-Guided Diffusion Planner	✅	✅	✅	❌	✅	❌	✅	5
Tree-Sliced Entropy Partial Transport	✅	✅	✅	✅	✅	❌	✅	6
TreeGen: A Bayesian Generative Model for Hierarchies	✅	✅	✅	✅	✅	❌	✅	6
TreeSplat: Mergeable Tree for Deformable Gaussian Splatting	❌	✅	✅	✅	✅	❌	✅	5
TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning	✅	✅	✅	✅	✅	✅	✅	7
Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs	✅	❌	✅	❌	✅	❌	✅	4
Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms	✅	✅	❌	✅	✅	❌	✅	5
Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs	✅	✅	✅	❌	✅	✅	✅	6
True Impact of Cascade Length in Contextual Cascading Bandits	✅	✅	✅	❌	✅	❌	✅	5
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics	❌	✅	✅	✅	✅	❌	✅	5
Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference	✅	❌	✅	✅	✅	❌	✅	5
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm	✅	✅	✅	❌	✅	❌	✅	5
Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards	✅	✅	✅	✅	✅	✅	✅	7
Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection	❌	✅	✅	✅	✅	❌	✅	5
Truthful Aggregation of LLMs with an Application to Online Advertising	✅	✅	✅	❌	✅	✅	✅	6
Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project	✅	✅	✅	✅	✅	✅	✅	7
Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound	✅	✅	✅	❌	✅	❌	✅	5
Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning	✅	✅	✅	❌	✅	❌	✅	5
TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets	✅	✅	✅	❌	❌	✅	✅	5
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training	❌	✅	✅	✅	✅	✅	✅	6
Two Heads are Better than One: Simulating Large Transformers with Small Ones	❌	❌	❌	❌	❌	❌	❌	0
Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising	✅	❌	✅	❌	✅	❌	✅	4
Two‑Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion	✅	✅	❌	❌	✅	❌	✅	4
Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization	✅	❌	✅	✅	✅	❌	✅	5
U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching	❌	✅	✅	✅	❌	❌	❌	3
U-REPA: Aligning Diffusion U-Nets to ViTs	❌	✅	✅	❌	✅	❌	✅	4
UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations	❌	✅	❌	✅	✅	❌	✅	4
UFM: A Simple Path towards Unified Dense Correspondence with Flow	❌	✅	✅	❌	✅	❌	✅	4
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection	❌	✅	✅	✅	✅	❌	✅	5
UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface	❌	✅	✅	✅	✅	❌	✅	5
UFT: Unifying Supervised and Reinforcement Fine-Tuning	✅	✅	✅	❌	❌	❌	✅	4
UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification	❌	✅	✅	✅	✅	❌	✅	5
UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss	✅	❌	❌	✅	✅	❌	✅	4
UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights	✅	✅	✅	✅	✅	❌	✅	6
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents	❌	✅	✅	✅	✅	❌	✅	5
UMA: A Family of Universal Models for Atoms	❌	✅	✅	✅	✅	✅	✅	6
UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis	✅	❌	✅	✅	✅	❌	✅	5
UMoE: Unifying Attention and FFN with Shared Experts	✅	✅	✅	❌	✅	❌	✅	5
URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model	❌	✅	✅	✅	✅	❌	✅	5
URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training	❌	❌	✅	❌	✅	❌	✅	3
Ultra-high Resolution Watermarking Framework Resistant to Extreme Cropping and Scaling	❌	❌	✅	❌	✅	❌	✅	3
UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset	❌	✅	❌	✅	✅	❌	✅	4
UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes	❌	✅	✅	❌	✅	✅	✅	5
Ultrametric Cluster Hierarchies: I Want ‘em All!	✅	✅	✅	❌	✅	✅	✅	6
UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems	✅	✅	✅	❌	❌	❌	✅	4
Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems	❌	✅	❌	❌	❌	❌	✅	2
Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification	❌	✅	✅	❌	✅	❌	✅	4
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning	❌	✅	✅	❌	✅	❌	✅	4
Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning	✅	✅	✅	✅	✅	❌	✅	6
Uncertainty Estimation by Flexible Evidential Deep Learning	✅	✅	✅	✅	✅	❌	✅	6
Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations	❌	❌	✅	✅	✅	✅	✅	5
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows	✅	✅	✅	✅	❌	❌	✅	5
Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference	✅	✅	✅	❌	❌	❌	✅	4
Uncertainty Quantification with the Empirical Neural Tangent Kernel	✅	✅	✅	✅	✅	❌	✅	6
Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design	✅	✅	✅	✅	✅	❌	✅	6
Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations	✅	✅	✅	✅	✅	❌	✅	6
Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands	❌	✅	✅	✅	❌	❌	✅	4
Uncertainty-Guided Exploration for Efficient AlphaZero Training	✅	✅	✅	❌	✅	❌	✅	5
Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data	✅	✅	✅	✅	✅	❌	✅	6
Uncertainty-Sensitive Privileged Learning	✅	✅	❌	❌	✅	❌	✅	4
Uncertainty-aware Preference Alignment for Diffusion Policies	✅	✅	✅	✅	✅	❌	✅	6
Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding	❌	✅	✅	✅	✅	❌	✅	5
Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback	✅	✅	❌	❌	✅	❌	✅	4
Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game	✅	✅	✅	✅	✅	❌	✅	6
Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks	✅	✅	❌	✅	✅	❌	✅	5
Uncovering the Spectral Bias in Diagonal State Space Models	❌	✅	✅	❌	❌	❌	✅	3
Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection	❌	❌	✅	✅	✅	❌	✅	4
Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation	❌	✅	✅	✅	❌	❌	✅	4
Understanding Adam Requires Better Rotation Dependent Assumptions	✅	❌	✅	✅	✅	❌	✅	5
Understanding Bias Terms in Neural Representations	❌	✅	✅	❌	✅	❌	✅	4
Understanding Contrastive Learning via Gaussian Mixture Models	❌	❌	✅	❌	❌	❌	❌	1
Understanding Data Influence in Reinforcement Finetuning	✅	❌	✅	❌	✅	❌	✅	4
Understanding Differential Transformer Unchains Pretrained Self-Attentions	✅	❌	✅	❌	✅	❌	✅	4
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis	✅	✅	✅	✅	✅	❌	❌	5
Understanding Generalization in Physics Informed Models through Affine Variety Dimensions	❌	❌	❌	❌	✅	❌	✅	2
Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws	❌	✅	✅	✅	✅	❌	✅	5
Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration	✅	❌	✅	✅	❌	❌	✅	4
Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models	❌	❌	✅	❌	✅	❌	✅	3
Understanding Prompt Tuning and In-Context Learning via Meta-Learning	❌	✅	❌	❌	✅	❌	✅	3
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling	❌	❌	✅	✅	✅	❌	✅	4
Understanding Softmax Attention Layers:\\ Exact Mean-Field Analysis on a Toy Problem	❌	❌	❌	❌	✅	❌	✅	2
Understanding and Enhancing Mask-Based Pretraining towards Universal Representations	❌	✅	✅	✅	✅	❌	✅	5
Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix	✅	✅	✅	✅	✅	❌	✅	6
Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits	❌	✅	✅	✅	✅	❌	✅	5
Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations	✅	✅	✅	✅	✅	❌	✅	6
Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference	❌	✅	✅	❌	✅	❌	✅	4
Understanding and Rectifying Safety Perception Distortion in VLMs	❌	✅	✅	✅	❌	❌	✅	4
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness	✅	✅	✅	✅	✅	✅	✅	7
Understanding protein function with a multimodal retrieval-augmented foundation model	✅	❌	✅	✅	✅	❌	✅	5
Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability	❌	✅	✅	❌	✅	✅	✅	5
Understanding the Gain from Data Filtering in Multimodal Contrastive Learning	✅	❌	❌	✅	✅	❌	✅	4
Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Understanding while Exploring: Semantics-driven Active Mapping	❌	✅	✅	✅	✅	✅	✅	6
Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization	❌	❌	✅	❌	✅	❌	✅	3
Unfolding the Black Box of Recurrent Neural Networks for Path Integration	❌	✅	❌	❌	❌	❌	✅	2
Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction	✅	❌	✅	❌	❌	❌	✅	3
Uni-LoRA: One Vector is All You Need	✅	✅	✅	✅	✅	❌	✅	6
Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition	❌	✅	✅	✅	✅	❌	✅	5
Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization	✅	✅	✅	✅	❌	❌	✅	5
UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens	❌	❌	✅	❌	✅	❌	✅	3
UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning	❌	✅	✅	❌	✅	✅	✅	5
UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains	❌	✅	✅	✅	✅	❌	✅	5
UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation	❌	✅	✅	❌	✅	❌	✅	4
UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression	❌	❌	✅	❌	❌	❌	✅	2
UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback	✅	✅	✅	✅	✅	❌	✅	6
UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation	❌	❌	✅	✅	✅	❌	✅	4
UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning	❌	✅	✅	✅	✅	❌	✅	5
UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning	❌	✅	✅	✅	✅	✅	✅	6
UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting	❌	❌	✅	✅	✅	❌	✅	4
UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection	✅	✅	✅	✅	✅	❌	✅	6
UniTok: a Unified Tokenizer for Visual Generation and Understanding	❌	✅	✅	❌	✅	❌	✅	4
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces	✅	✅	✅	✅	✅	❌	✅	6
UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition	✅	❌	✅	❌	✅	❌	✅	4
UniViT: Unifying Image and Video Understanding in One Vision Encoder	❌	❌	✅	❌	✅	❌	✅	3
UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge	✅	✅	✅	✅	✅	❌	✅	6
Unified 2D-3D Discrete Priors for Noise-Robust and Calibration-Free Multiview 3D Human Pose Estimation	❌	❌	✅	✅	✅	❌	✅	4
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning	❌	✅	✅	✅	✅	❌	✅	5
Unified Reinforcement and Imitation Learning for Vision-Language Models	✅	❌	✅	❌	✅	❌	✅	4
Unified Scaling Laws for Compressed Representations	✅	✅	✅	❌	✅	❌	✅	5
Unified Transferability Metrics for Time Series Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
Unified all-atom molecule generation with neural fields	❌	✅	✅	✅	✅	✅	✅	6
Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization	✅	❌	❌	❌	❌	❌	❌	1
Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting	❌	✅	✅	✅	✅	❌	✅	5
Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning	❌	✅	✅	✅	✅	❌	✅	5
Unifying Proportional Fairness in Centroid and Non-Centroid Clustering	✅	✅	✅	❌	❌	❌	✅	4
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy	❌	✅	✅	✅	✅	❌	✅	5
Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification	❌	✅	✅	✅	✅	❌	✅	5
Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization	❌	✅	✅	✅	✅	❌	✅	5
Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework	✅	✅	✅	✅	✅	❌	✅	6
UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems	❌	✅	✅	✅	✅	❌	✅	5
Universal Causal Inference in a Topos	❌	❌	❌	❌	❌	❌	❌	0
Universal Cross-Tokenizer Distillation via Approximate Likelihood Matching	❌	✅	✅	❌	✅	❌	✅	4
Universal Few-shot Spatial Control for Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
Universal Sequence Preconditioning	✅	❌	✅	❌	❌	❌	✅	3
Universal Video Temporal Grounding with Generative Multi-modal Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
Universal Visuo-Tactile Video Understanding for Embodied Interaction	❌	❌	❌	✅	✅	❌	❌	2
Universally Invariant Learning in Equivariant GNNs	✅	✅	✅	✅	✅	❌	✅	6
Unlabeled Data Can Provably Enhance In-Context Learning of Transformers	❌	✅	❌	❌	✅	❌	✅	3
Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs	✅	✅	✅	❌	✅	❌	✅	5
Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM	❌	✅	✅	✅	✅	❌	✅	5
Unlearning-Aware Minimization	✅	✅	✅	✅	✅	❌	✅	6
Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations	❌	✅	✅	✅	✅	❌	✅	5
Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains	❌	✅	✅	✅	✅	✅	✅	6
Unleashing Hour-Scale Video Training for Long Video-Language Understanding	❌	✅	✅	✅	✅	❌	✅	5
Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding	✅	❌	✅	✅	✅	❌	✅	5
Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator	❌	✅	✅	✅	✅	❌	✅	5
Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data	✅	✅	✅	✅	✅	✅	✅	7
Unlocking Dataset Distillation with Diffusion Models	✅	✅	✅	✅	✅	✅	✅	7
Unlocking Multimodal Mathematical Reasoning via Process Reward Model	✅	✅	✅	✅	✅	✅	✅	7
Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation	✅	✅	✅	✅	✅	❌	✅	6
Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time	✅	✅	✅	❌	❌	❌	✅	4
Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing	❌	✅	✅	✅	✅	❌	✅	5
Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning	❌	✅	✅	✅	❌	❌	✅	4
Unsupervised Federated Graph Learning	✅	❌	✅	✅	❌	❌	✅	4
Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs	❌	✅	✅	✅	✅	❌	✅	5
Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs	❌	❌	✅	✅	✅	❌	✅	4
Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards	✅	✅	✅	✅	✅	❌	✅	6
Unveiling Concept Attribution in Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization	✅	✅	✅	❌	❌	✅	✅	5
Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random	✅	✅	✅	✅	✅	❌	✅	6
Unveiling Transformer Perception by Exploring Input Manifolds	✅	✅	✅	❌	✅	✅	✅	6
Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise	✅	❌	✅	✅	✅	❌	✅	5
Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model	❌	✅	✅	✅	✅	❌	✅	5
Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study	❌	✅	✅	✅	✅	❌	✅	5
Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training	✅	❌	✅	✅	✅	❌	✅	5
Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Unveiling the Uncertainty in Embodied and Operational Carbon of Large AI Models through a Probabilistic Carbon Accounting Model	❌	❌	✅	❌	✅	❌	✅	3
User-Instructed Disparity-aware Defocus Control	✅	❌	✅	✅	❌	❌	✅	4
UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs	✅	✅	✅	✅	✅	❌	✅	6
V-CECE: Visual Counterfactual Explanations via Conceptual Edits	❌	✅	✅	❌	✅	❌	✅	4
V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation	❌	✅	✅	✅	❌	❌	✅	4
VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment	❌	✅	✅	✅	✅	❌	✅	5
VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree	✅	✅	✅	✅	✅	❌	✅	6
VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents	✅	✅	✅	❌	✅	✅	✅	6
VASA-3D: Lifelike Audio-Driven Gaussian Head Avatars from a Single Image	❌	❌	✅	✅	✅	✅	✅	5
VCM: Vision Concept Modeling with Adaptive Vision Token Compression via Instruction Fine-Tuning	✅	✅	✅	✅	✅	❌	✅	6
VERA: Variational Inference Framework for Jailbreaking Large Language Models	✅	❌	✅	❌	✅	❌	✅	4
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers	✅	✅	✅	❌	✅	❌	✅	5
VFRTok: Variable Frame Rates Video Tokenizer with Duration-Proportional Information Assumption	❌	✅	✅	✅	✅	❌	✅	5
VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold	❌	✅	✅	✅	✅	❌	✅	5
VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR	❌	✅	✅	✅	✅	❌	✅	5
VIKING: Deep variational inference with stochastic projections	✅	✅	✅	✅	❌	❌	✅	5
VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion	✅	✅	✅	✅	✅	❌	✅	6
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction	❌	✅	✅	✅	❌	❌	✅	4
VITA-Audio: Fast Interleaved Audio-Text Token Generation for Efficient Large Speech-Language Model	❌	✅	✅	✅	❌	❌	✅	4
VITRIX-CLIPIN: Enhancing Fine-Grained Visual Understanding in CLIP via Instruction-Editing Data and Long Captions	❌	✅	✅	✅	✅	❌	✅	5
VITRIX-UniViTAR: Unified Vision Transformer with Native Resolution	❌	✅	✅	✅	✅	❌	✅	5
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set	❌	✅	✅	✅	✅	❌	✅	5
VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion	❌	❌	✅	✅	✅	❌	✅	4
VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching	✅	✅	✅	✅	✅	❌	✅	6
VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models	❌	✅	✅	✅	✅	❌	✅	5
VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models	❌	❌	❌	✅	✅	❌	✅	3
VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking	✅	✅	✅	✅	✅	❌	✅	6
VLM-R³: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought	❌	❌	✅	❌	✅	❌	✅	3
VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture	✅	✅	❌	✅	✅	✅	✅	6
VLMs can Aggregate Scattered Training Patches	❌	✅	✅	❌	❌	❌	✅	3
VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs	❌	✅	✅	✅	✅	✅	✅	6
VORTA: Efficient Video Diffusion via Routing Sparse Attention	✅	✅	✅	❌	✅	❌	✅	5
VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information	❌	❌	✅	❌	✅	❌	✅	3
VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation	❌	✅	✅	✅	✅	✅	✅	6
VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting	❌	❌	✅	✅	✅	❌	✅	4
VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning	✅	✅	✅	✅	✅	❌	✅	6
VTON-VLLM: Aligning Virtual Try-On Models with Human Preferences	❌	✅	✅	✅	❌	✅	✅	5
VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models	❌	❌	✅	✅	✅	❌	✅	4
Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought	✅	✅	✅	✅	✅	❌	✅	6
Valid Inference with Imperfect Synthetic Data	✅	✅	✅	✅	✅	❌	✅	6
Valid Selection among Conformal Sets	✅	✅	✅	✅	✅	✅	✅	7
Validating LLM-as-a-Judge Systems under Rating Indeterminacy	❌	✅	✅	✅	❌	❌	✅	4
Value Diffusion Reinforcement Learning	✅	❌	✅	✅	✅	❌	✅	5
Value Gradient Guidance for Flow Matching Alignment	✅	✅	✅	❌	❌	❌	✅	4
Value Improved Actor Critic Algorithms	✅	✅	✅	✅	✅	❌	✅	6
Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings	✅	✅	✅	✅	✅	❌	✅	6
Value-Guided KV Compression for LLMs via Approximated CUR Decomposition	✅	✅	✅	❌	✅	❌	✅	5
Value-Guided Search for Efficient Chain-of-Thought Reasoning	✅	✅	✅	✅	✅	❌	✅	6
Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2	❌	✅	✅	✅	✅	❌	✅	5
VaporTok: RL-Driven Adaptive Video Tokenizer with Prior & Task Awareness	❌	✅	✅	❌	✅	❌	✅	4
VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching	✅	❌	✅	✅	❌	❌	✅	4
Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits	✅	✅	❌	❌	❌	❌	✅	3
Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation	✅	✅	✅	❌	✅	❌	✅	5
Variational Inference with Mixtures of Isotropic Gaussians	✅	✅	✅	✅	✅	❌	✅	6
Variational Learning Finds Flatter Solutions at the Edge of Stability	❌	✅	✅	✅	❌	❌	✅	4
Variational Pólya Tree	✅	✅	✅	✅	✅	❌	✅	6
Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action	✅	✅	✅	✅	✅	❌	✅	6
Variational Supervised Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
Variational Task Vector Composition	❌	✅	✅	✅	✅	❌	✅	5
Variational Transdimensional Inference	✅	✅	✅	❌	✅	❌	✅	5
Variational Uncertainty Decomposition for In-Context Learning	✅	✅	✅	✅	✅	❌	✅	6
Vector Database Watermarking	✅	✅	✅	❌	✅	❌	✅	5
Vector Quantization in the Brain: Grid-like Codes in World Models	✅	✅	✅	❌	✅	❌	✅	5
Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models	✅	✅	✅	✅	✅	❌	✅	6
VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code	❌	✅	✅	✅	✅	❌	✅	5
VeriThinker: Learning to Verify Makes Reasoning Model Efficient	❌	✅	✅	✅	✅	❌	✅	5
Versatile Transferable Unlearnable Example Generator	✅	✅	✅	✅	✅	❌	✅	6
Vertical Federated Feature Screening	✅	✅	✅	✅	✅	❌	✅	6
Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding	❌	✅	✅	✅	✅	❌	✅	5
ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs	❌	✅	✅	❌	✅	❌	✅	4
ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs	❌	❌	✅	✅	✅	❌	✅	4
ViSPLA: Visual Iterative Self-Prompting for Language-Guided 3D Affordance Learning	❌	❌	✅	✅	✅	❌	✅	4
ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding	❌	✅	✅	❌	❌	❌	✅	3
Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation	❌	✅	✅	✅	✅	❌	✅	5
Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Vid-SME: Membership Inference Attacks against Large Video Understanding Models	❌	✅	✅	✅	✅	❌	✅	5
VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models	❌	✅	✅	✅	❌	❌	✅	4
Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision	✅	❌	✅	✅	✅	❌	✅	5
Video Perception Models for 3D Scene Synthesis	✅	❌	✅	❌	✅	❌	✅	4
Video World Models with Long-term Spatial Memory	❌	❌	✅	✅	✅	❌	✅	4
Video-R1: Reinforcing Video Reasoning in MLLMs	❌	✅	✅	❌	✅	❌	✅	4
Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension	❌	✅	✅	✅	✅	❌	✅	5
VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception	❌	❌	✅	❌	❌	❌	✅	2
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding	❌	✅	✅	✅	✅	❌	✅	5
VideoLucy: Deep Memory Backtracking for Long Video Understanding	✅	❌	✅	✅	✅	❌	✅	5
VideoMAR: Autoregressive Video Generation with Continuous Tokens	❌	❌	❌	❌	✅	❌	✅	2
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models	❌	✅	✅	❌	✅	❌	✅	4
VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning	❌	✅	✅	❌	✅	❌	✅	4
VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory	❌	✅	✅	✅	✅	❌	✅	5
VideoVLA: Video Generators Can Be Generalizable Robot Manipulators	❌	✅	✅	✅	✅	❌	✅	5
Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations	✅	✅	✅	❌	✅	❌	✅	5
ViewCraft3D: High-fidelity and View-Consistent 3D Vector Graphics Synthesis	✅	❌	❌	❌	✅	❌	✅	3
ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models	❌	❌	✅	❌	✅	❌	✅	3
VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models	❌	✅	✅	✅	✅	❌	✅	5
Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image	❌	❌	✅	❌	✅	❌	✅	3
Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data	❌	✅	✅	❌	✅	❌	✅	4
VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction, Characterization and Recognition	❌	✅	✅	✅	✅	❌	✅	5
Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Generation	❌	✅	✅	✅	❌	❌	✅	4
Vision Function Layer in Multimodal LLMs	❌	❌	✅	✅	✅	✅	✅	5
Vision Transformers Don't Need Trained Registers	✅	✅	✅	✅	❌	❌	✅	5
Vision Transformers with Self-Distilled Registers	✅	✅	✅	✅	✅	❌	✅	6
Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations	❌	✅	✅	✅	❌	❌	✅	4
Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It	❌	✅	✅	✅	✅	❌	✅	5
Vision-centric Token Compression in Large Language Model	❌	✅	✅	✅	✅	❌	✅	5
VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning	❌	✅	✅	❌	❌	❌	✅	3
Vision‑Language‑Vision Auto‑Encoder: Scalable Knowledge Distillation from Diffusion Models	❌	❌	✅	✅	✅	❌	✅	4
Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models	❌	❌	❌	❌	✅	❌	✅	2
Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection	❌	✅	✅	✅	✅	❌	✅	5
Visual Instruction Bottleneck Tuning	✅	✅	✅	✅	✅	❌	✅	6
Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting	❌	❌	✅	✅	✅	✅	✅	5
Visual Structures Help Visual Reasoning: Addressing the Binding Problem in LVLMs	❌	✅	✅	✅	❌	❌	✅	4
Visual Sync: Multi‑Camera Synchronization via Cross‑View Object Motion	❌	❌	✅	❌	✅	❌	✅	3
Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought	❌	❌	✅	❌	✅	❌	✅	3
VisualLens: Personalization through Task-Agnostic Visual History	✅	❌	✅	✅	✅	❌	✅	5
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank	❌	❌	✅	✅	✅	❌	✅	4
VividFace: A Robost and High-Fidelity Video Face Swapping Framework	❌	❌	✅	❌	✅	❌	✅	3
Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding	❌	❌	❌	❌	❌	❌	❌	0
Vocabulary-Guided Gait Recognition	❌	❌	✅	✅	❌	❌	✅	3
Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization	❌	✅	✅	✅	✅	✅	✅	6
VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection	✅	✅	✅	✅	✅	❌	✅	6
Vulnerable Data-Aware Adversarial Training	✅	✅	✅	✅	✅	❌	✅	6
WALL-E: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents	✅	✅	✅	✅	✅	❌	✅	6
WEDGE: Synthesizing Performance Constraints for Evaluating and Improving Code Efficiency	❌	✅	✅	✅	✅	✅	✅	6
WHAT MAKES MATH PROBLEMS HARD FOR REINFORCEMENT LEARNING: A CASE STUDY	❌	✅	✅	✅	❌	❌	✅	4
WISA: World simulator assistant for physics-aware text-to-video generation	❌	❌	❌	❌	✅	❌	✅	2
WKV-sharing embraced random shuffle RWKV high-order modeling for pan-sharpening	❌	❌	✅	❌	❌	❌	❌	1
WMCopier: Forging Invisible Watermarks on Arbitrary Images	✅	✅	✅	❌	✅	❌	✅	5
WaLRUS: Wavelets for Long range Representation Using State Space Methods	❌	✅	✅	❌	❌	❌	✅	3
Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation	❌	✅	✅	✅	✅	❌	✅	5
Walking the Tightrope: Autonomous Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning	❌	✅	✅	✅	✅	❌	✅	5
Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance	❌	✅	✅	❌	✅	❌	✅	4
WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting	❌	✅	✅	✅	✅	❌	✅	5
Wasserstein Convergence of Critically Damped Langevin Diffusions	✅	✅	✅	✅	❌	❌	✅	5
Wasserstein Transfer Learning	✅	✅	✅	✅	❌	❌	✅	5
Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM	❌	✅	✅	✅	✅	✅	✅	6
Watermarking Autoregressive Image Generation	❌	✅	✅	✅	✅	❌	✅	5
WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction	❌	❌	✅	✅	❌	❌	✅	3
Wavelet Canonical Coherence for Nonstationary Signals	✅	✅	❌	❌	✅	❌	✅	4
Wavy Transformer	❌	✅	✅	✅	✅	❌	✅	5
Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer	❌	❌	✅	✅	❌	❌	✅	3
Weak-to-Strong Generalization under Distribution Shifts	✅	✅	✅	✅	✅	❌	✅	6
WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization	❌	✅	✅	✅	✅	❌	✅	5
Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification	❌	✅	✅	✅	✅	✅	✅	6
Web-Shepherd: Advancing PRMs for Reinforcing Web Agents	❌	✅	✅	✅	✅	❌	✅	5
WebDancer: Towards Autonomous Information Seeking Agency	❌	✅	✅	✅	✅	✅	✅	6
WebThinker: Empowering Large Reasoning Models with Deep Research Capability	❌	✅	✅	✅	❌	❌	✅	4
WhAM: Towards A Translative Model of Sperm Whale Vocalization	❌	❌	✅	✅	✅	❌	✅	4
What Can RL Bring to VLA Generalization? An Empirical Study	❌	✅	✅	✅	✅	✅	✅	6
What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization	✅	❌	❌	❌	❌	❌	❌	1
What Do Latent Action Models Actually Learn?	❌	✅	❌	❌	❌	❌	✅	2
What Does It Take to Build a Performant Selective Classifier?	✅	✅	✅	✅	✅	❌	✅	6
What Expressivity Theory Misses: Message Passing Complexity for GNNs	✅	✅	✅	✅	✅	❌	✅	6
What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers	❌	✅	✅	✅	✅	❌	✅	5
What Makes a Reward Model a Good Teacher? An Optimization Perspective	❌	✅	✅	✅	✅	❌	✅	5
What Matters in Data for DPO?	✅	✅	✅	✅	✅	❌	✅	6
What Moves the Eyes: Doubling Mechanistic Model Performance Using Deep Networks to Discover and Test Cognitive Hypotheses	❌	✅	✅	✅	✅	❌	✅	5
What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains	✅	✅	❌	❌	✅	❌	✅	4
What Really is a Member? Discrediting Membership Inference via Poisoning	✅	✅	✅	✅	✅	❌	✅	6
What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers	❌	✅	✅	✅	✅	❌	✅	5
What are you sinking? A geometric approach on attention sink	❌	✅	✅	❌	✅	❌	✅	4
What do you know? Bayesian knowledge inference for navigating agents	✅	✅	✅	❌	✅	❌	✅	5
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions	✅	✅	✅	✅	✅	❌	✅	6
What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models	❌	✅	✅	✅	✅	❌	✅	5
When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery	✅	✅	✅	✅	✅	✅	✅	7
When Are Concepts Erased From Diffusion Models?	❌	✅	✅	✅	✅	✅	✅	6
When Can Model-Free Reinforcement Learning be Enough for Thinking?	❌	✅	❌	❌	✅	✅	✅	4
When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions	✅	✅	❌	❌	✅	❌	✅	4
When Data Can't Meet: Estimating Correlation Across Privacy Barriers	❌	✅	✅	❌	✅	❌	✅	4
When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective	❌	✅	❌	❌	❌	❌	✅	2
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective	✅	✅	✅	✅	✅	✅	✅	7
When Does Curriculum Learning Help? A Theoretical Perspective	✅	✅	✅	✅	✅	❌	✅	6
When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product	✅	✅	✅	✅	✅	❌	✅	6
When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners	✅	✅	✅	✅	✅	❌	✅	6
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses	✅	✅	❌	❌	✅	❌	✅	4
When Models Don’t Collapse: On the Consistency of Iterative MLE	✅	❌	❌	❌	❌	❌	✅	2
When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration	❌	✅	✅	✅	❌	❌	✅	4
When One Moment Isn't Enough: Multi-Moment Retrieval with Cross-Moment Interactions	❌	✅	✅	❌	✅	❌	✅	4
When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding	❌	✅	✅	✅	✅	❌	✅	5
When Thinking Drifts: Evidential Grounding for Robust Video Reasoning	❌	❌	✅	❌	✅	✅	✅	4
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs	❌	✅	✅	✅	✅	❌	✅	5
When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization	❌	❌	✅	✅	✅	❌	✅	4
When and How Unlabeled Data Provably Improve In-Context Learning	✅	✅	✅	✅	❌	❌	✅	5
When and how can inexact generative models still sample from the data manifold?	❌	✅	✅	❌	❌	❌	✅	3
When majority rules, minority loses: bias amplification of gradient descent	❌	✅	✅	✅	✅	❌	✅	5
Where Does It Exist from the Low-Altitude: Spatial Aerial Video Grounding	❌	✅	✅	✅	✅	❌	✅	5
Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts	❌	✅	✅	✅	✅	❌	✅	5
Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models	✅	✅	✅	✅	✅	❌	✅	6
Which Algorithms Have Tight Generalization Bounds?	❌	❌	✅	❌	❌	❌	✅	2
Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions	❌	✅	✅	❌	✅	❌	❌	3
Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems	✅	✅	✅	✅	✅	❌	✅	6
Who Reasons in the Large Language Models?	❌	❌	✅	✅	✅	❌	✅	4
Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers	✅	❌	✅	✅	✅	✅	✅	6
Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation	✅	✅	✅	✅	✅	✅	✅	7
Whole-Body Conditioned Egocentric Video Prediction	❌	❌	✅	✅	✅	❌	✅	4
Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning	❌	❌	✅	✅	✅	❌	✅	4
Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering	✅	✅	✅	✅	✅	✅	✅	7
Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training	❌	✅	✅	✅	❌	❌	✅	4
Why Do Some Language Models Fake Alignment While Others Don't?	❌	✅	✅	❌	✅	❌	✅	4
Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation	❌	✅	❌	✅	✅	❌	✅	4
Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion	✅	✅	✅	❌	✅	❌	✅	5
Why Playing Against Diverse and Challenging Opponents Speeds Up Coevolution: A Theoretical Analysis on Combinatorial Games	✅	❌	✅	❌	✅	❌	✅	4
Why Popular MOEAs Are Popular: Proven Advantages in Approximating the Pareto Front	✅	❌	❌	❌	❌	❌	❌	1
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations	✅	✅	✅	✅	✅	❌	✅	6
Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints	✅	❌	✅	❌	✅	❌	✅	4
Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search	✅	✅	✅	✅	✅	❌	✅	6
WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild	❌	❌	✅	✅	✅	❌	✅	4
Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs	✅	✅	✅	❌	✅	❌	✅	5
Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting	❌	✅	✅	✅	✅	❌	✅	5
With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You	✅	❌	✅	✅	✅	❌	✅	5
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration	✅	✅	✅	❌	✅	❌	✅	5
Word-Level Emotional Expression Control in Zero-Shot Text-to-Speech Synthesis	❌	✅	✅	✅	✅	❌	✅	5
World Models as Reference Trajectories for Rapid Motor Adaptation	✅	✅	✅	❌	✅	❌	✅	5
World-aware Planning Narratives Enhance Large Vision-Language Model Planner	❌	✅	✅	❌	✅	❌	✅	4
WorldMem: Long-term Consistent World Simulation with Memory	✅	❌	✅	✅	❌	❌	✅	4
WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception	❌	✅	✅	❌	✅	❌	✅	4
Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models	❌	✅	✅	✅	✅	❌	✅	5
X-Field: A Physically Informed Representation for 3D X-ray Reconstruction	✅	✅	✅	✅	✅	❌	✅	6
X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection	❌	✅	✅	❌	✅	❌	✅	4
X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability	✅	✅	✅	✅	✅	✅	✅	7
X2-DFD: A framework for explainable and extendable Deepfake Detection	❌	✅	✅	✅	✅	✅	✅	6
XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation	❌	✅	✅	❌	✅	❌	✅	4
YEAST: Yet Another Sequential Test	✅	✅	✅	✅	✅	❌	✅	6
YOLOv12: Attention-Centric Real-Time Object Detectors	❌	✅	✅	✅	✅	❌	✅	5
Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding	❌	❌	✅	❌	✅	✅	❌	3
You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering	✅	✅	✅	✅	✅	❌	✅	6
You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM	✅	✅	✅	✅	✅	❌	✅	6
You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network	❌	✅	✅	✅	✅	✅	✅	6
Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator	❌	✅	✅	✅	✅	❌	✅	5
ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding	❌	✅	✅	✅	✅	❌	✅	5
ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data	❌	✅	✅	✅	❌	❌	✅	4
ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS	✅	✅	✅	✅	✅	❌	✅	6
ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention	✅	❌	❌	❌	✅	❌	✅	3
Zebra-Llama: Towards Extremely Efficient Hybrid Models	✅	✅	✅	✅	✅	❌	✅	6
Zero-Shot Blind-Spot Image Denoising via Cross-Scale Non-Local Pixel Refilling	❌	✅	✅	✅	✅	✅	✅	6
Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts	✅	✅	✅	❌	✅	✅	✅	6
Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model	✅	✅	✅	✅	✅	❌	✅	6
Zero-Shot Performance Prediction for Probabilistic Scaling Laws	❌	❌	✅	✅	✅	❌	✅	4
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks	✅	✅	✅	❌	✅	❌	✅	5
Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework	✅	✅	✅	❌	✅	❌	✅	5
Zero-shot World Models via Search in Memory	❌	✅	✅	❌	✅	❌	✅	4
Zero-shot protein stability prediction by inverse folding models: a free energy interpretation	❌	✅	✅	❌	❌	❌	✅	3
ZeroPatcher: Training-free Sampler for Video Inpainting and Editing	✅	❌	✅	✅	✅	❌	✅	5
ZeroS: Zero‑Sum Linear Attention for Efficient Transformers	❌	✅	✅	✅	✅	❌	✅	5
ZeroSep: Separate Anything in Audio with Zero Training	❌	❌	✅	✅	✅	❌	✅	4
Zeroth-Order Optimization Finds Flat Minima	✅	✅	✅	✅	✅	❌	✅	6
ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding	✅	✅	✅	❌	✅	❌	✅	5
Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs	❌	✅	✅	✅	✅	❌	✅	5
$\varepsilon$-Optimally Solving Two-Player Zero-Sum POSGs	✅	✅	✅	❌	❌	❌	✅	4
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
dKV-Cache: The Cache for Diffusion Language Models	✅	✅	✅	✅	✅	❌	✅	6
iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning	❌	❌	✅	✅	✅	❌	✅	4
macOSWorld: A Multilingual Interactive Benchmark for GUI Agents	✅	✅	✅	✅	✅	✅	✅	7
metaTextGrad: Automatically optimizing language model optimizers	✅	✅	✅	✅	❌	❌	✅	5
miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward	❌	❌	✅	✅	✅	✅	✅	5
msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML	❌	✅	✅	❌	✅	✅	✅	5
pLSTM: parallelizable Linear Source Transition Mark networks	❌	✅	✅	✅	✅	✅	✅	6
rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset	✅	✅	✅	❌	✅	❌	✅	5
scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration	❌	✅	✅	✅	✅	❌	✅	5
scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery	❌	✅	✅	❌	✅	❌	✅	4
scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy	❌	✅	✅	❌	✅	❌	✅	4
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models	❌	✅	✅	✅	✅	❌	✅	5
un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP	❌	✅	✅	✅	✅	❌	✅	5
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories	❌	✅	✅	✅	✅	✅	✅	6
zip2zip: Inference-Time Adaptive Tokenization via Online Compression	❌	✅	✅	❌	✅	✅	✅	5
🎧MOSPA: Human Motion Generation Driven by Spatial Audio	❌	❌	❌	✅	✅	❌	✅	3