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..

International Conference on Machine Learning (ICML) - 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
ICML	2025	3330	0.61	4.42	94.95%	36.69%

Search Papers

	Pseudocode	Open Source Code	Open Datasets	Dataset Splits	Hardware Specification	Software Dependencies	Experiment Setup
"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift	❌	✅	✅	✅	❌	❌	✅	4
"Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence	✅	✅	✅	✅	❌	❌	✅	5
$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting	❌	✅	✅	✅	✅	✅	✅	6
$S^2$FGL: Spatial Spectral Federated Graph Learning	❌	✅	✅	✅	❌	❌	✅	4
$\mathcalVista\mathcalDPO$: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models	❌	✅	✅	❌	✅	❌	✅	4
$\mathrmμ$nit Scaling: Simple and Scalable FP8 LLM Training	❌	❌	❌	❌	✅	❌	✅	2
$\textttI$^2$MoE$: Interpretable Multimodal Interaction-aware Mixture-of-Experts	✅	✅	✅	✅	✅	❌	✅	6
$∞$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation	❌	✅	✅	✅	❌	❌	✅	4
(How) Can Transformers Predict Pseudo-Random Numbers?	❌	✅	❌	✅	✅	❌	✅	4
(How) Do Language Models Track State?	✅	✅	✅	✅	❌	❌	✅	5
3D Question Answering via only 2D Vision-Language Models	❌	✅	✅	✅	❌	❌	✅	4
3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors	✅	❌	✅	✅	✅	❌	✅	5
A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints	❌	❌	✅	✅	❌	❌	✅	3
A Bregman Proximal Viewpoint on Neural Operators	❌	✅	✅	✅	❌	❌	✅	4
A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment	✅	✅	✅	✅	❌	❌	✅	5
A Certified Unlearning Approach without Access to Source Data	✅	✅	✅	✅	❌	❌	✅	5
A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing	❌	✅	✅	✅	✅	❌	✅	5
A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment	✅	✅	✅	✅	❌	❌	❌	4
A Classification View on Meta Learning Bandits	✅	✅	❌	❌	❌	❌	✅	3
A Closer Look at Backdoor Attacks on CLIP	✅	❌	✅	✅	❌	❌	✅	4
A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection	✅	❌	✅	✅	❌	❌	✅	4
A Closer Look at Multimodal Representation Collapse	❌	❌	✅	✅	❌	❌	✅	3
A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle	❌	✅	✅	✅	❌	❌	❌	3
A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD	✅	❌	❌	❌	❌	❌	❌	1
A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs	✅	❌	❌	❌	❌	❌	❌	1
A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features	✅	❌	✅	❌	✅	❌	✅	4
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks	❌	❌	✅	❌	❌	❌	❌	1
A First-order Generative Bilevel Optimization Framework for Diffusion Models	✅	✅	✅	❌	✅	✅	✅	6
A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control	❌	✅	✅	❌	❌	❌	✅	3
A General Framework for Inference-time Scaling and Steering of Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition	❌	✅	✅	✅	✅	❌	✅	5
A General Representation-Based Approach to Multi-Source Domain Adaptation	❌	❌	✅	❌	✅	❌	✅	3
A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments	❌	✅	✅	✅	✅	❌	✅	5
A Generalization Result for Convergence in Learning-to-Optimize	❌	✅	❌	✅	❌	❌	✅	3
A Generalization Theory for Zero-Shot Prediction	❌	✅	✅	✅	✅	❌	✅	5
A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity	✅	✅	✅	✅	❌	❌	❌	4
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings	✅	✅	✅	✅	✅	❌	✅	6
A Hitchhiker’s Guide to Scaling Law Estimation	❌	✅	✅	✅	❌	❌	✅	4
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks	❌	✅	✅	✅	✅	❌	✅	5
A Lens into Interpretable Transformer Mistakes via Semantic Dependency	✅	❌	✅	✅	❌	❌	❌	3
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models	❌	❌	✅	✅	❌	❌	✅	3
A Machine Learning Approach to Duality in Statistical Physics	✅	✅	❌	❌	❌	❌	✅	3
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks	❌	❌	✅	✅	✅	❌	✅	4
A Market for Accuracy: Classification Under Competition	❌	✅	✅	✅	✅	❌	✅	5
A Mathematical Framework for AI-Human Integration in Work	❌	❌	✅	❌	❌	❌	✅	2
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
A Meta-learner for Heterogeneous Effects in Difference-in-Differences	❌	❌	✅	❌	❌	❌	✅	2
A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver	❌	✅	✅	✅	✅	❌	✅	5
A Mixture-Based Framework for Guiding Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
A Model of Place Field Reorganization During Reward Maximization	❌	✅	❌	❌	❌	❌	✅	2
A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making	❌	❌	❌	❌	❌	❌	✅	1
A Near Linear Query Lower Bound for Submodular Maximization	✅	❌	❌	❌	❌	❌	❌	1
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization	✅	❌	✅	✅	✅	❌	✅	5
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability	❌	❌	✅	❌	❌	❌	✅	2
A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning	✅	❌	❌	❌	❌	❌	❌	1
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations	❌	❌	❌	✅	✅	❌	✅	3
A Non-isotropic Time Series Diffusion Model with Moving Average Transitions	❌	✅	✅	❌	✅	❌	✅	4
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators	❌	✅	✅	✅	❌	❌	✅	4
A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization	✅	❌	✅	❌	❌	❌	✅	3
A Parametric Contextual Online Learning Theory of Brokerage	✅	❌	❌	❌	❌	❌	❌	1
A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method	✅	❌	✅	❌	✅	✅	✅	5
A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data	✅	✅	✅	✅	✅	✅	✅	7
A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems	✅	❌	❌	❌	✅	❌	✅	3
A Reasoning-Based Approach to Cryptic Crossword Clue Solving	✅	✅	✅	✅	❌	✅	✅	6
A Recipe for Causal Graph Regression: Confounding Effects Revisited	❌	✅	✅	✅	❌	❌	✅	4
A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward	✅	❌	✅	❌	❌	❌	✅	3
A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents	✅	✅	❌	❌	❌	❌	✅	3
A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations	❌	✅	✅	✅	✅	✅	✅	6
A Sample Efficient Conditional Independence Test in the Presence of Discretization	✅	✅	✅	❌	❌	❌	✅	4
A Selective Learning Method for Temporal Graph Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach	✅	❌	❌	❌	❌	❌	❌	1
A Simple Model of Inference Scaling Laws	❌	❌	✅	✅	❌	❌	✅	3
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning	✅	✅	✅	✅	✅	✅	✅	7
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models	✅	✅	✅	✅	❌	❌	✅	5
A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering	✅	✅	❌	❌	❌	❌	✅	3
A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?	❌	❌	✅	❌	❌	❌	✅	2
A Theoretical Framework For Overfitting In Energy-based Modeling	❌	❌	✅	❌	❌	❌	✅	2
A Theoretical Justification for Asymmetric Actor-Critic Algorithms	✅	❌	❌	❌	❌	❌	❌	1
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization	❌	❌	✅	❌	❌	❌	✅	2
A Theory for Conditional Generative Modeling on Multiple Data Sources	❌	✅	✅	❌	✅	❌	✅	4
A Trichotomy for List Transductive Online Learning	✅	❌	❌	❌	❌	❌	❌	1
A Two-Stage Learning-to-Defer Approach for Multi-Task Learning	✅	✅	✅	✅	✅	❌	✅	6
A Unified Approach to Routing and Cascading for LLMs	✅	✅	✅	✅	❌	❌	✅	5
A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression	❌	✅	✅	✅	✅	❌	✅	5
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization	✅	✅	✅	❌	❌	❌	✅	4
A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features	❌	✅	✅	✅	❌	❌	✅	4
A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO	✅	❌	❌	✅	❌	❌	✅	3
A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation	❌	❌	❌	❌	❌	❌	✅	1
A Variational Framework for Improving Naturalness in Generative Spoken Language Models	❌	✅	✅	✅	✅	❌	✅	5
A Variational Information Theoretic Approach to Out-of-Distribution Detection	✅	❌	✅	✅	✅	❌	✅	5
A Variational Perspective on Generative Protein Fitness Optimization	✅	✅	✅	❌	❌	❌	✅	4
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss	❌	✅	✅	✅	✅	❌	✅	5
A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games	✅	❌	✅	❌	✅	❌	✅	4
AAAR-1.0: Assessing AI’s Potential to Assist Research	❌	❌	✅	❌	✅	✅	✅	4
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence	✅	✅	✅	✅	✅	❌	✅	6
ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning	✅	✅	✅	❌	✅	❌	✅	5
ADDQ: Adaptive distributional double Q-learning	✅	✅	✅	❌	✅	❌	✅	5
ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization	❌	✅	✅	✅	❌	❌	❌	3
ADIOS: Antibody Development via Opponent Shaping	✅	✅	✅	❌	✅	❌	✅	5
AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation	✅	❌	✅	✅	❌	❌	✅	4
AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment	❌	✅	✅	✅	✅	❌	✅	5
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N	✅	✅	✅	❌	❌	✅	✅	5
AKORN: Adaptive Knots generated Online for RegressioN splines	✅	✅	❌	❌	❌	❌	✅	3
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings	❌	✅	✅	✅	✅	❌	✅	5
ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling	✅	❌	✅	✅	✅	❌	✅	5
AMPO: Active Multi Preference Optimization for Self-play Preference Selection	✅	❌	✅	❌	❌	❌	✅	3
ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning	✅	❌	✅	❌	✅	❌	✅	4
AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation	❌	❌	❌	✅	✅	✅	✅	4
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$	❌	✅	✅	✅	✅	✅	✅	6
Accelerated Diffusion Models via Speculative Sampling	✅	❌	✅	❌	❌	❌	✅	3
Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies	✅	✅	✅	❌	✅	❌	✅	5
Accelerating Large Language Model Reasoning via Speculative Search	✅	✅	✅	❌	❌	❌	✅	4
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity	❌	✅	✅	✅	✅	✅	✅	6
Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators	✅	✅	❌	✅	✅	❌	✅	5
Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach	✅	❌	❌	❌	❌	❌	❌	1
Accelerating Spectral Clustering under Fairness Constraints	✅	❌	✅	❌	✅	❌	✅	4
Accelerating Unbiased LLM Evaluation via Synthetic Feedback	✅	✅	✅	✅	✅	❌	✅	6
Accurate Identification of Communication Between Multiple Interacting Neural Populations	❌	❌	✅	✅	❌	❌	✅	3
Accurate and Efficient World Modeling with Masked Latent Transformers	❌	❌	✅	✅	✅	❌	✅	4
Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks	✅	❌	✅	❌	❌	❌	✅	3
Action Dubber: Timing Audible Actions via Inflectional Flow	❌	✅	✅	✅	✅	✅	✅	6
Action-Constrained Imitation Learning	✅	✅	✅	❌	❌	❌	✅	4
Action-Dependent Optimality-Preserving Reward Shaping	❌	❌	✅	❌	✅	❌	✅	3
Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional	✅	❌	✅	✅	✅	❌	✅	5
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation	✅	✅	✅	✅	✅	❌	✅	6
Activation Space Interventions Can Be Transferred Between Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss	✅	✅	✅	✅	❌	❌	✅	5
Active Evaluation Acquisition for Efficient LLM Benchmarking	✅	❌	✅	✅	❌	❌	✅	4
Active Fine-Tuning of Multi-Task Policies	✅	✅	✅	❌	❌	❌	✅	4
Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations	❌	✅	✅	✅	✅	❌	✅	5
Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes	✅	✅	✅	✅	❌	✅	✅	6
Active Learning with Selective Time-Step Acquisition for PDEs	✅	✅	❌	✅	✅	❌	✅	5
Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment	✅	✅	✅	✅	❌	❌	✅	5
Active Treatment Effect Estimation via Limited Samples	✅	✅	✅	✅	❌	❌	✅	5
Active feature acquisition via explainability-driven ranking	✅	✅	✅	❌	❌	❌	✅	4
Actor-Critics Can Achieve Optimal Sample Efficiency	✅	✅	✅	❌	❌	❌	✅	4
Ad Hoc Teamwork via Offline Goal-Based Decision Transformers	✅	❌	❌	✅	❌	❌	✅	3
Ad-Hoc Human-AI Coordination Challenge	❌	✅	✅	✅	❌	❌	✅	4
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism	✅	✅	✅	✅	✅	❌	✅	6
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting	❌	✅	✅	✅	❌	❌	✅	4
AdaSplash: Adaptive Sparse Flash Attention	✅	✅	✅	❌	✅	❌	✅	5
AdaWorld: Learning Adaptable World Models with Latent Actions	❌	❌	✅	✅	✅	❌	✅	4
Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation	❌	❌	✅	✅	✅	❌	✅	4
Adapting Precomputed Features for Efficient Graph Condensation	❌	✅	✅	✅	✅	❌	✅	5
Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation	❌	✅	✅	✅	✅	❌	✅	5
Adapting to Evolving Adversaries with Regularized Continual Robust Training	❌	✅	✅	✅	❌	❌	✅	4
Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning	✅	❌	✅	❌	❌	❌	❌	2
Adaptive Data Collection for Robust Learning Across Multiple Distributions	✅	❌	✅	✅	❌	❌	✅	4
Adaptive Elicitation of Latent Information Using Natural Language	❌	✅	✅	✅	❌	❌	✅	4
Adaptive Estimation and Learning under Temporal Distribution Shift	✅	❌	✅	✅	❌	❌	✅	4
Adaptive Exploration for Multi-Reward Multi-Policy Evaluation	✅	✅	✅	❌	❌	❌	✅	4
Adaptive Flow Matching for Resolving Small-Scale Physics	✅	❌	✅	✅	✅	❌	✅	5
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection	✅	❌	✅	❌	❌	❌	✅	3
Adaptive Localization of Knowledge Negation for Continual LLM Unlearning	✅	✅	✅	✅	❌	❌	✅	5
Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time	✅	❌	✅	✅	✅	❌	✅	5
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching	❌	✅	✅	✅	❌	❌	✅	4
Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection	❌	✅	✅	✅	❌	❌	✅	4
Adaptive Partitioning Schemes for Optimistic Optimization	✅	✅	✅	❌	✅	❌	✅	5
Adaptive Sample Sharing for Multi Agent Linear Bandits	✅	✅	✅	❌	✅	❌	✅	5
Adaptive Self-improvement LLM Agentic System for ML Library Development	✅	✅	❌	❌	❌	❌	✅	3
Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Adaptive kernel predictors from feature-learning infinite limits of neural networks	✅	❌	✅	❌	❌	❌	✅	3
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence	❌	✅	✅	✅	❌	❌	✅	4
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization	❌	✅	✅	✅	✅	❌	✅	5
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts	✅	✅	✅	✅	✅	❌	✅	6
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration	✅	❌	✅	✅	✅	❌	✅	5
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching	✅	✅	✅	✅	❌	✅	✅	6
Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?	✅	✅	✅	✅	✅	✅	✅	7
Adjustment for Confounding using Pre-Trained Representations	❌	✅	✅	✅	✅	❌	✅	5
AdvAgent: Controllable Blackbox Red-teaming on Web Agents	✅	✅	✅	✅	❌	✅	✅	6
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models	✅	✅	✅	✅	❌	❌	✅	5
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs	✅	✅	✅	✅	✅	❌	✅	6
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations	✅	✅	✅	❌	❌	❌	✅	4
Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge	❌	✅	❌	✅	✅	❌	❌	3
Adversarial Combinatorial Semi-bandits with Graph Feedback	✅	❌	❌	❌	❌	❌	❌	1
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets	❌	✅	✅	✅	✅	❌	✅	5
Adversarial Inception Backdoor Attacks against Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Adversarial Inputs for Linear Algebra Backends	✅	✅	✅	✅	✅	✅	✅	7
Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian	❌	✅	✅	✅	❌	✅	✅	5
Adversarial Reasoning at Jailbreaking Time	✅	✅	✅	❌	✅	❌	✅	5
Adversarial Robust Generalization of Graph Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees	✅	✅	✅	✅	✅	❌	✅	6
Adversarial Robustness via Deformable Convolution with Stochasticity	✅	✅	✅	✅	✅	❌	✅	6
Adversaries Can Misuse Combinations of Safe Models	❌	❌	✅	❌	✅	✅	✅	4
Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks	✅	✅	✅	✅	✅	❌	✅	6
AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
AffinityFlow: Guided Flows for Antibody Affinity Maturation	❌	❌	✅	✅	✅	❌	✅	4
Agent Reviewers: Domain-specific Multimodal Agents with Shared Memory for Paper Review	❌	✅	✅	✅	❌	✅	✅	5
Agent Workflow Memory	❌	✅	✅	✅	❌	✅	✅	5
Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Agent-as-a-Judge: Evaluate Agents with Agents	❌	✅	✅	❌	❌	✅	✅	4
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block	❌	✅	✅	✅	✅	❌	✅	5
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders	✅	✅	✅	✅	✅	❌	✅	6
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction	❌	✅	✅	✅	✅	❌	✅	5
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery	✅	✅	✅	✅	❌	❌	✅	5
Algorithm Development in Neural Networks: Insights from the Streaming Parity Task	✅	✅	❌	✅	❌	❌	✅	4
Algorithmic Recourse for Long-Term Improvement	✅	✅	✅	✅	✅	✅	✅	7
Algorithms and Hardness for Active Learning on Graphs	✅	✅	✅	❌	❌	❌	✅	4
Algorithms with Calibrated Machine Learning Predictions	✅	✅	✅	❌	❌	❌	❌	3
Aligned Multi Objective Optimization	✅	✅	❌	❌	❌	❌	✅	3
Aligning LLMs by Predicting Preferences from User Writing Samples	✅	✅	✅	✅	❌	❌	✅	5
Aligning Multimodal Representations through an Information Bottleneck	❌	✅	✅	❌	❌	❌	✅	3
Aligning Protein Conformation Ensemble Generation with Physical Feedback	✅	❌	✅	✅	✅	❌	✅	5
Aligning Spoken Dialogue Models from User Interactions	❌	❌	✅	✅	❌	❌	✅	3
Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance	✅	❌	❌	❌	❌	❌	❌	1
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials	✅	✅	✅	✅	✅	❌	✅	6
All-atom inverse protein folding through discrete flow matching	✅	✅	✅	✅	❌	❌	❌	4
Almost Optimal Fully Dynamic $k$-Center Clustering with Recourse	✅	❌	❌	❌	❌	❌	❌	1
Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search	✅	✅	✅	✅	✅	❌	✅	6
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization	❌	✅	✅	❌	✅	❌	✅	4
AlphaPO: Reward Shape Matters for LLM Alignment	❌	❌	✅	❌	✅	❌	✅	3
AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning	✅	✅	❌	✅	❌	❌	✅	4
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement	✅	✅	✅	❌	✅	❌	✅	5
An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures	✅	✅	✅	✅	✅	❌	✅	6
An All-Atom Generative Model for Designing Protein Complexes	❌	✅	✅	✅	✅	❌	✅	5
An Analysis for Reasoning Bias of Language Models with Small Initialization	❌	❌	✅	✅	❌	❌	✅	3
An Architecture Search Framework for Inference-Time Techniques	❌	✅	✅	✅	❌	❌	✅	4
An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale	✅	✅	✅	❌	✅	✅	✅	6
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning	❌	❌	✅	✅	✅	❌	✅	4
An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective	✅	✅	✅	❌	✅	❌	✅	5
An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
An Efficient Private GPT Never Autoregressively Decodes	✅	❌	✅	❌	❌	❌	❌	2
An Efficient Pruner for Large Language Model with Theoretical Guarantee	✅	❌	✅	✅	✅	❌	✅	5
An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data	❌	✅	✅	❌	❌	❌	✅	3
An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs’ Sentimental Perception Capability	❌	❌	✅	✅	✅	❌	✅	4
An End-to-End Model for Logits-Based Large Language Models Watermarking	❌	✅	✅	✅	✅	❌	✅	5
An Error Analysis of Flow Matching for Deep Generative Modeling	❌	❌	❌	❌	❌	❌	❌	0
An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning	❌	❌	✅	❌	✅	❌	✅	3
An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer	✅	❌	❌	❌	✅	❌	✅	3
An Instrumental Value for Data Production and its Application to Data Pricing	✅	❌	❌	❌	✅	✅	✅	4
An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks	✅	✅	✅	❌	❌	❌	✅	4
An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions	✅	❌	❌	❌	❌	❌	✅	2
An Online Statistical Framework for Out-of-Distribution Detection	✅	❌	✅	❌	❌	❌	❌	2
An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints	✅	❌	❌	❌	❌	❌	✅	2
An analytic theory of creativity in convolutional diffusion models	❌	✅	✅	❌	❌	❌	✅	3
An in depth look at the Procrustes-Wasserstein distance: properties and barycenters	✅	✅	✅	❌	❌	❌	✅	4
AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery through Lightweight Graph Modeling	✅	✅	✅	✅	✅	❌	✅	6
Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction	✅	❌	✅	✅	✅	✅	✅	6
Analytical Lyapunov Function Discovery: An RL-based Generative Approach	✅	✅	❌	❌	✅	❌	✅	4
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models	❌	❌	✅	✅	❌	❌	✅	3
Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation	✅	✅	✅	❌	❌	❌	✅	4
Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions	✅	✅	✅	❌	✅	❌	✅	5
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack	✅	❌	✅	❌	✅	❌	✅	4
AnyEdit: Edit Any Knowledge Encoded in Language Models	❌	✅	✅	❌	✅	❌	✅	4
Anytime-Constrained Equilibria in Polynomial Time	✅	❌	❌	❌	❌	❌	❌	1
Approximate Differential Privacy of the $\ell_2$ Mechanism	✅	✅	❌	❌	❌	❌	✅	3
Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees	✅	❌	✅	❌	✅	✅	✅	5
Approximately Correct Label Distribution Learning	✅	✅	✅	✅	❌	❌	✅	5
Approximating Latent Manifolds in Neural Networks via Vanishing Ideals	✅	✅	✅	✅	❌	❌	✅	5
Approximation to Smooth Functions by Low-Rank Swish Networks	❌	❌	✅	✅	❌	❌	✅	3
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation	✅	✅	✅	✅	✅	❌	✅	6
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models	✅	✅	✅	✅	❌	❌	✅	5
Are High-Quality AI-Generated Images More Difficult for Models to Detect?	❌	✅	✅	❌	❌	❌	❌	2
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle	❌	✅	✅	✅	❌	❌	✅	4
Are Large Brainwave Foundation Models Capable Yet ? Insights from Fine-Tuning	❌	❌	✅	✅	❌	❌	✅	3
Are Large Language Models Ready for Multi-Turn Tabular Data Analysis?	✅	✅	✅	❌	❌	❌	✅	4
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing	❌	❌	✅	✅	❌	❌	✅	3
Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster	✅	❌	✅	❌	❌	❌	✅	3
ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior	✅	✅	✅	✅	✅	✅	✅	7
Arrow: Accelerator for Time Series Causal Discovery with Time Weaving	✅	✅	✅	❌	✅	❌	✅	5
Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
AssistanceZero: Scalably Solving Assistance Games	❌	✅	✅	❌	✅	❌	✅	4
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration	❌	✅	✅	❌	✅	❌	✅	4
Asymmetric Decision-Making in Online Knowledge Distillation: Unifying Consensus and Divergence	❌	❌	✅	✅	❌	❌	✅	3
AtlasD: Automatic Local Symmetry Discovery	✅	✅	✅	❌	❌	❌	✅	4
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data	❌	✅	✅	❌	❌	❌	✅	3
Attention-Level Speculation	✅	✅	✅	✅	✅	✅	✅	7
Attention-Only Transformers via Unrolled Subspace Denoising	❌	❌	✅	✅	❌	❌	✅	3
Attributes Shape the Embedding Space of Face Recognition Models	❌	✅	✅	✅	❌	❌	✅	4
AuPair: Golden Example Pairs for Code Repair	✅	❌	✅	✅	❌	❌	✅	4
Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities	✅	✅	✅	✅	✅	❌	✅	6
Auditing $f$-differential privacy in one run	✅	✅	✅	❌	❌	❌	✅	4
Auditing Prompt Caching in Language Model APIs	❌	✅	✅	❌	❌	❌	✅	3
Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving	❌	✅	❌	❌	✅	✅	✅	4
AutoAL: Automated Active Learning with Differentiable Query Strategy Search	✅	✅	✅	✅	✅	❌	✅	6
AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses	❌	✅	✅	✅	❌	❌	✅	4
AutoCATE: End-to-End, Automated Treatment Effect Estimation	❌	✅	✅	✅	✅	❌	✅	5
AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling	❌	✅	✅	✅	✅	✅	✅	6
AutoEval Done Right: Using Synthetic Data for Model Evaluation	✅	✅	✅	✅	✅	❌	✅	6
AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization	✅	❌	✅	✅	✅	✅	✅	6
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML	✅	✅	✅	✅	✅	✅	✅	7
AutoStep: Locally adaptive involutive MCMC	✅	✅	✅	❌	❌	❌	✅	4
Autoencoder-Based Hybrid Replay for Class-Incremental Learning	✅	✅	✅	✅	❌	❌	❌	4
Autoformulation of Mathematical Optimization Models Using LLMs	❌	✅	✅	❌	❌	❌	✅	3
Automated Benchmark Generation for Repository-Level Coding Tasks	❌	✅	✅	❌	❌	✅	❌	3
Automated Hypothesis Validation with Agentic Sequential Falsifications	✅	✅	✅	✅	❌	❌	✅	5
Automated Red Teaming with GOAT: the Generative Offensive Agent Tester	✅	❌	✅	❌	❌	❌	✅	3
Automatic Differentiation of Optimization Algorithms with Time-Varying Updates	✅	❌	✅	❌	❌	❌	✅	3
Automatic Reward Shaping from Confounded Offline Data	✅	❌	✅	❌	✅	❌	✅	4
Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios	✅	✅	✅	❌	✅	❌	✅	5
Automatically Interpreting Millions of Features in Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
Autonomy-of-Experts Models	✅	✅	✅	✅	✅	❌	✅	6
Average Certified Radius is a Poor Metric for Randomized Smoothing	✅	✅	✅	✅	❌	❌	✅	5
Average Sensitivity of Hierarchical $k$-Median Clustering	✅	❌	✅	✅	✅	❌	✅	5
Avoiding Catastrophe in Online Learning by Asking for Help	✅	❌	❌	❌	❌	❌	❌	1
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts	❌	✅	✅	✅	✅	✅	✅	6
Avoiding spurious sharpness minimization broadens applicability of SAM	✅	✅	✅	❌	❌	❌	✅	4
AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders	❌	✅	✅	✅	❌	❌	✅	4
B-score: Detecting biases in large language models using response history	❌	✅	✅	❌	❌	❌	✅	3
BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training	✅	✅	✅	✅	✅	❌	✅	6
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization	❌	✅	✅	❌	✅	✅	✅	5
BARNN: A Bayesian Autoregressive and Recurrent Neural Network	✅	✅	✅	✅	✅	❌	✅	6
BAnG: Bidirectional Anchored Generation for Conditional RNA Design	✅	✅	✅	✅	✅	❌	✅	6
BCE vs. CE in Deep Feature Learning	❌	✅	✅	❌	❌	❌	✅	3
BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition	❌	❌	✅	✅	✅	❌	✅	4
BECAME: Bayesian Continual Learning with Adaptive Model Merging	✅	✅	✅	✅	✅	❌	✅	6
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute	✅	❌	✅	✅	✅	❌	✅	5
BILBO: BILevel Bayesian Optimization	✅	✅	✅	❌	✅	❌	✅	5
BOOD: Boundary-based Out-Of-Distribution Data Generation	✅	❌	✅	✅	❌	✅	✅	5
BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization	✅	✅	✅	✅	✅	❌	✅	6
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling	✅	✅	✅	✅	✅	❌	✅	6
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning	❌	❌	✅	❌	✅	❌	✅	3
BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing	✅	✅	✅	❌	✅	✅	✅	6
BSO: Binary Spiking Online Optimization Algorithm	✅	✅	✅	✅	❌	❌	✅	5
BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach	✅	❌	✅	✅	✅	✅	✅	6
BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation	✅	❌	✅	❌	✅	❌	✅	4
BackSlash: Rate Constrained Optimized Training of Large Language Models	✅	❌	✅	❌	❌	❌	❌	2
Backdoor Attacks in Token Selection of Attention Mechanism	❌	❌	✅	✅	❌	❌	✅	3
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing	❌	✅	✅	✅	✅	❌	✅	5
Balanced Learning for Domain Adaptive Semantic Segmentation	✅	✅	✅	❌	✅	❌	✅	5
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality	✅	✅	✅	✅	✅	❌	✅	6
Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach	✅	✅	❌	✅	❌	❌	✅	4
Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data	✅	✅	✅	✅	❌	❌	✅	5
Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing	✅	✅	✅	❌	❌	❌	✅	4
Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data	❌	❌	✅	✅	❌	❌	✅	3
BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms	✅	✅	✅	✅	✅	❌	✅	6
Banyan: Improved Representation Learning with Explicit Structure	✅	✅	✅	❌	✅	❌	✅	5
Batch List-Decodable Linear Regression via Higher Moments	✅	❌	❌	❌	❌	❌	❌	1
BaxBench: Can LLMs Generate Correct and Secure Backends?	❌	✅	✅	❌	❌	✅	✅	4
Bayesian Active Learning for Bivariate Causal Discovery	✅	❌	❌	❌	✅	❌	✅	3
Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models	❌	✅	✅	✅	✅	❌	✅	5
Bayesian Inference for Correlated Human Experts and Classifiers	✅	✅	✅	❌	✅	❌	✅	5
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks	❌	✅	✅	✅	✅	❌	✅	5
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds	✅	✅	✅	❌	✅	❌	✅	5
Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments	✅	❌	✅	✅	✅	❌	✅	5
Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning	✅	❌	✅	❌	✅	❌	✅	4
Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders	❌	✅	✅	❌	❌	❌	❌	2
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning	✅	❌	✅	✅	❌	❌	✅	4
Behavioral Exploration: Learning to Explore via In-Context Adaptation	❌	❌	✅	✅	✅	❌	✅	4
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation	✅	❌	❌	❌	❌	❌	❌	1
Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective	❌	✅	✅	✅	✅	❌	✅	5
Benchmarking Quantum Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression	❌	❌	❌	❌	❌	❌	❌	0
Benign Overfitting in Token Selection of Attention Mechanism	❌	✅	✅	✅	❌	❌	✅	4
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety	❌	✅	✅	✅	✅	❌	✅	5
Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination	✅	✅	✅	✅	❌	❌	✅	5
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models	❌	❌	✅	✅	❌	❌	❌	2
Best of Both Worlds: Regret Minimization versus Minimax Play	✅	✅	✅	❌	❌	❌	✅	4
Better to Teach than to Give: Domain Generalized Semantic Segmentation via Agent Queries with Diffusion Model Guidance	❌	✅	✅	✅	❌	✅	✅	5
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling	❌	❌	✅	✅	✅	❌	✅	4
Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment	❌	✅	✅	❌	✅	❌	✅	4
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning	✅	✅	❌	❌	❌	❌	✅	3
Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning	✅	❌	✅	❌	✅	❌	✅	4
Beyond Confidence: Exploiting Homogeneous Pattern for Semi-Supervised Semantic Segmentation	✅	❌	✅	✅	✅	❌	✅	5
Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts	✅	✅	✅	✅	✅	❌	✅	6
Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation	❌	✅	✅	✅	✅	❌	✅	5
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence	❌	✅	✅	❌	❌	❌	✅	3
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance	❌	❌	❌	❌	❌	❌	❌	0
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning	✅	✅	✅	✅	✅	✅	✅	7
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation	❌	❌	✅	✅	✅	❌	✅	4
Beyond Message Passing: Neural Graph Pattern Machine	❌	✅	✅	✅	✅	✅	✅	6
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity	✅	❌	✅	❌	❌	❌	✅	3
Beyond One-Hot Labels: Semantic Mixing for Model Calibration	❌	✅	✅	✅	✅	❌	✅	5
Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms?	✅	❌	❌	❌	❌	❌	✅	2
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs	✅	❌	✅	❌	❌	❌	✅	3
Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions	❌	❌	❌	✅	✅	❌	✅	3
Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning	❌	❌	✅	✅	✅	❌	✅	4
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC	❌	✅	✅	✅	✅	✅	✅	6
Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective	❌	✅	✅	✅	✅	✅	✅	6
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics	❌	✅	✅	✅	❌	❌	✅	4
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion	✅	✅	✅	✅	✅	✅	✅	7
Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security	✅	❌	✅	✅	✅	❌	✅	5
BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly	❌	❌	✅	✅	✅	❌	❌	3
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution	❌	✅	✅	✅	✅	❌	✅	5
BiMark: Unbiased Multilayer Watermarking for Large Language Models	✅	✅	✅	❌	❌	❌	✅	4
Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead	✅	❌	✅	❌	❌	❌	✅	3
Binary Hypothesis Testing for Softmax Models and Leverage Score Models	❌	❌	❌	❌	❌	❌	❌	0
BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models	✅	❌	✅	✅	✅	❌	✅	5
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation	❌	❌	✅	✅	❌	❌	✅	3
Bivariate Causal Discovery with Proxy Variables: Integral Solving and Beyond	❌	✅	❌	❌	❌	❌	✅	2
Black-Box Adversarial Attacks on LLM-Based Code Completion	✅	✅	✅	✅	❌	❌	✅	5
Blink of an eye: a simple theory for feature localization in generative models	❌	✅	✅	❌	❌	❌	✅	3
BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference	❌	✅	✅	❌	✅	❌	✅	4
BoA: Attention-aware Post-training Quantization without Backpropagation	✅	❌	✅	✅	✅	❌	✅	5
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?	❌	✅	✅	❌	✅	❌	✅	4
Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation	❌	✅	✅	❌	✅	❌	✅	4
Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training	✅	❌	✅	✅	✅	❌	✅	5
Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners	❌	✅	✅	✅	✅	❌	✅	5
Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples	✅	❌	✅	✅	✅	❌	✅	5
Boosting Protein Graph Representations through Static-Dynamic Fusion	❌	✅	✅	✅	❌	✅	✅	5
Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark	✅	✅	❌	✅	❌	❌	❌	3
Bootstrapping Self-Improvement of Language Model Programs for Zero-Shot Schema Matching	✅	✅	✅	✅	✅	✅	✅	7
BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization	✅	✅	✅	✅	✅	❌	✅	6
Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time	✅	❌	✅	❌	❌	❌	✅	3
BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare	❌	✅	✅	✅	✅	❌	✅	5
Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO*	✅	✅	✅	✅	✅	❌	✅	6
Breaking Barriers: Combinatorial Algorithms for Non-Monotone Submodular Maximization with Sublinear Adaptivity and $1/e$ Approximation	✅	✅	✅	❌	❌	❌	✅	4
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Breaking the $n^1.5$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition	✅	❌	❌	❌	❌	❌	❌	1
Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks	❌	✅	✅	✅	✅	❌	✅	5
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Breaking the Quadratic Barrier: Robust Cardinality Sketches for Adaptive Queries	✅	❌	❌	❌	❌	❌	✅	2
Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach	✅	✅	❌	✅	❌	❌	❌	3
Bridging Layout and RTL: Knowledge Distillation based Timing Prediction	❌	✅	✅	✅	✅	❌	✅	5
Bridging Protein Sequences and Microscopy Images with Unified Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging	❌	✅	✅	✅	❌	❌	✅	4
Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition	✅	❌	✅	✅	✅	❌	✅	5
Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning	✅	❌	✅	❌	❌	❌	✅	3
C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation	✅	✅	✅	✅	❌	❌	✅	5
C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging	✅	✅	✅	✅	✅	✅	✅	7
CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation	✅	✅	✅	✅	❌	❌	✅	5
CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing	❌	✅	✅	✅	✅	❌	✅	5
CALM: Consensus-Aware Localized Merging for Multi-Task Learning	✅	✅	✅	❌	✅	❌	✅	5
CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning	❌	❌	✅	❌	✅	❌	✅	3
CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models	❌	✅	✅	❌	✅	✅	✅	5
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging	✅	❌	✅	✅	✅	✅	✅	6
CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models	❌	✅	✅	✅	❌	❌	✅	4
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition	✅	✅	✅	✅	✅	❌	✅	6
CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning	❌	❌	✅	❌	❌	❌	✅	2
CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models	❌	✅	✅	✅	✅	❌	✅	5
CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling	❌	✅	✅	✅	✅	✅	✅	6
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation	❌	✅	✅	❌	✅	❌	✅	4
CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries	✅	✅	✅	❌	❌	❌	✅	4
CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
CLOVER: Cross-Layer Orthogonal Vectors Pruning	❌	✅	✅	✅	✅	❌	✅	5
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations	✅	✅	✅	✅	✅	❌	✅	6
COExpander: Adaptive Solution Expansion for Combinatorial Optimization	✅	✅	✅	✅	✅	✅	✅	7
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning	❌	❌	✅	❌	✅	❌	✅	3
COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering	✅	❌	✅	❌	✅	❌	✅	4
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse	✅	✅	✅	✅	❌	❌	✅	5
COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation	✅	✅	✅	✅	✅	✅	✅	7
CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models	❌	❌	✅	✅	✅	❌	✅	4
CRANE: Reasoning with constrained LLM generation	✅	❌	✅	✅	✅	❌	✅	5
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization	✅	✅	✅	❌	✅	❌	✅	5
CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs	✅	❌	✅	✅	❌	❌	✅	4
CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features	❌	✅	✅	✅	✅	❌	✅	5
CSV-Occ: Fusing Multi-frame Alignment for Occupancy Prediction with Temporal Cross State Space Model and Central Voting Mechanism	❌	✅	✅	✅	✅	❌	✅	5
CTBench: A Library and Benchmark for Certified Training	❌	✅	✅	✅	✅	❌	✅	5
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty	❌	❌	✅	✅	✅	❌	✅	4
CVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities	❌	✅	✅	❌	❌	✅	✅	4
Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing	❌	✅	✅	✅	✅	❌	✅	5
CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention	❌	✅	✅	❌	✅	❌	✅	4
Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models	✅	✅	✅	✅	✅	✅	✅	7
Calibrated Language Models and How to Find Them with Label Smoothing	✅	❌	✅	✅	✅	✅	✅	6
Calibrated Physics-Informed Uncertainty Quantification	✅	✅	❌	✅	✅	❌	✅	5
Calibrated Value-Aware Model Learning with Probabilistic Environment Models	❌	✅	✅	❌	❌	❌	✅	3
Calibrating Video Watch-time Predictions with Credible Prototype Alignment	❌	❌	✅	✅	✅	❌	✅	4
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example	❌	✅	✅	❌	✅	✅	✅	5
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence	❌	✅	✅	✅	✅	❌	✅	5
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression	❌	✅	✅	✅	❌	❌	✅	4
Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios?	✅	❌	✅	✅	✅	✅	✅	6
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?	❌	❌	✅	✅	✅	❌	✅	4
Can Large Language Models Understand Intermediate Representations in Compilers?	❌	✅	✅	❌	✅	✅	✅	5
Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark	❌	❌	✅	✅	❌	✅	✅	4
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective	✅	✅	✅	✅	✅	❌	✅	6
Can Transformers Learn Full Bayesian Inference in Context?	✅	✅	✅	✅	✅	❌	✅	6
Can Transformers Reason Logically? A Study in SAT Solving	✅	✅	❌	✅	❌	❌	✅	4
Can We Predict Performance of Large Models across Vision-Language Tasks?	❌	✅	✅	✅	✅	❌	✅	5
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs	❌	❌	✅	❌	❌	❌	✅	2
Canonical Rank Adaptation: An Efficient Fine-Tuning Strategy for Vision Transformers	❌	✅	✅	✅	✅	❌	✅	5
Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy	✅	❌	✅	✅	✅	❌	✅	5
Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation	❌	✅	✅	✅	✅	❌	✅	5
Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation	✅	✅	✅	❌	✅	✅	✅	6
CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration	✅	❌	✅	✅	✅	❌	✅	5
Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics	❌	❌	✅	❌	❌	✅	✅	3
Categorical Schrödinger Bridge Matching	✅	✅	✅	✅	✅	❌	✅	6
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards	✅	❌	❌	❌	❌	❌	❌	1
Causal Abstraction Inference under Lossy Representations	✅	✅	✅	❌	❌	❌	❌	3
Causal Abstraction Learning based on the Semantic Embedding Principle	✅	✅	✅	❌	❌	❌	✅	4
Causal Attribution Analysis for Continuous Outcomes	❌	❌	✅	❌	❌	❌	❌	1
Causal Discovery from Conditionally Stationary Time Series	❌	✅	✅	✅	✅	❌	✅	5
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants	✅	✅	✅	❌	❌	❌	✅	4
Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
Causal Logistic Bandits with Counterfactual Fairness Constraints	✅	✅	❌	❌	❌	❌	❌	2
Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel	✅	❌	✅	✅	❌	✅	✅	5
Causality Inspired Federated Learning for OOD Generalization	✅	❌	✅	✅	❌	❌	✅	4
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection	❌	✅	✅	✅	✅	❌	✅	5
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention	❌	❌	✅	✅	❌	❌	✅	3
CellFlux: Simulating Cellular Morphology Changes via Flow Matching	✅	❌	✅	❌	✅	❌	✅	4
Censor Dependent Variational Inference	❌	✅	✅	✅	❌	❌	✅	4
Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts	✅	✅	✅	✅	❌	❌	✅	5
Certification for Differentially Private Prediction in Gradient-Based Training	✅	✅	✅	❌	✅	❌	✅	5
Certified Unlearning for Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning	✅	✅	✅	❌	✅	❌	✅	5
Channel Normalization for Time Series Channel Identification	✅	✅	✅	✅	❌	❌	✅	5
Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction	✅	❌	✅	✅	✅	❌	✅	5
Chip Placement with Diffusion Models	❌	❌	✅	❌	✅	❌	✅	3
Circumventing Backdoor Space via Weight Symmetry	✅	✅	✅	✅	✅	❌	✅	6
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off	✅	✅	✅	❌	✅	❌	✅	5
Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies	✅	❌	✅	✅	✅	❌	✅	5
Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed	✅	✅	✅	✅	❌	❌	✅	5
Clone-Robust AI Alignment	❌	❌	❌	❌	❌	❌	✅	1
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling	✅	✅	✅	✅	❌	❌	✅	5
Closed-form Solutions: A New Perspective on Solving Differential Equations	✅	✅	✅	❌	✅	❌	✅	5
Clustering Items through Bandit Feedback: Finding the Right Feature out of Many	✅	✅	❌	❌	❌	❌	✅	3
Clustering Properties of Self-Supervised Learning	✅	✅	✅	✅	✅	❌	✅	6
Clustering via Self-Supervised Diffusion	❌	❌	✅	✅	❌	❌	✅	3
CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization	❌	✅	✅	✅	❌	❌	✅	4
CoDy: Counterfactual Explainers for Dynamic Graphs	✅	✅	✅	❌	✅	❌	✅	5
CoMemo: LVLMs Need Image Context with Image Memory	✅	❌	✅	❌	✅	❌	✅	4
CoPINN: Cognitive Physics-Informed Neural Networks	✅	✅	❌	❌	✅	❌	✅	4
CoSER: Coordinating LLM-Based Persona Simulation of Established Roles	❌	✅	✅	✅	❌	✅	✅	5
CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes	❌	✅	✅	✅	✅	❌	✅	5
Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction	✅	✅	✅	✅	✅	❌	✅	6
CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction	❌	✅	✅	❌	❌	❌	✅	3
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance	❌	✅	✅	✅	✅	❌	✅	5
CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale	❌	✅	✅	✅	✅	❌	✅	5
CogMath: Assessing LLMs’ Authentic Mathematical Ability from a Human Cognitive Perspective	❌	✅	✅	✅	❌	❌	✅	4
CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention	❌	✅	✅	✅	✅	✅	✅	6
CollabLLM: From Passive Responders to Active Collaborators	❌	✅	✅	❌	❌	❌	✅	3
Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution	✅	❌	❌	❌	❌	❌	❌	1
Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World	❌	❌	✅	❌	❌	❌	✅	2
Collapse-Proof Non-Contrastive Self-Supervised Learning	✅	❌	✅	✅	✅	❌	✅	5
CombiMOTS: Combinatorial Multi-Objective Tree Search for Dual-Target Molecule Generation	✅	✅	✅	✅	✅	❌	✅	6
Combinatorial Reinforcement Learning with Preference Feedback	✅	❌	✅	❌	❌	❌	✅	3
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation	✅	✅	✅	✅	✅	❌	✅	6
CommVQ: Commutative Vector Quantization for KV Cache Compression	✅	✅	✅	❌	✅	❌	✅	5
Communicating Activations Between Language Model Agents	❌	❌	✅	✅	❌	❌	✅	3
Commute Graph Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Compact Matrix Quantum Group Equivariant Neural Networks	✅	❌	❌	❌	❌	❌	❌	1
Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries	✅	❌	✅	❌	✅	❌	✅	4
Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method	✅	✅	✅	❌	✅	❌	✅	5
Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training	✅	✅	✅	✅	❌	❌	✅	5
Competing Bandits in Matching Markets via Super Stability	✅	❌	❌	❌	❌	❌	✅	2
Competitively Consistent Clustering	❌	❌	✅	❌	❌	❌	✅	2
Complete-Tree Space Favors Data-Efficient Link Prediction	✅	✅	✅	✅	❌	❌	✅	5
Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Componential Prompt-Knowledge Alignment for Domain Incremental Learning	✅	✅	✅	✅	✅	❌	✅	6
Compositional Causal Reasoning Evaluation in Language Models	✅	✅	❌	❌	✅	❌	✅	4
Compositional Condition Question Answering in Tabular Understanding	❌	✅	✅	❌	✅	❌	✅	4
Compositional Flows for 3D Molecule and Synthesis Pathway Co-design	✅	✅	✅	✅	✅	❌	✅	6
Compositional Generalization via Forced Rendering of Disentangled Latents	❌	✅	✅	✅	❌	❌	✅	4
Compositional Risk Minimization	✅	✅	✅	✅	❌	❌	✅	5
Compositional Scene Understanding through Inverse Generative Modeling	✅	✅	✅	✅	✅	❌	✅	6
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead	✅	❌	✅	✅	✅	❌	✅	5
Compressed Image Generation with Denoising Diffusion Codebook Models	❌	✅	✅	✅	❌	✅	✅	5
Compressing tree ensembles through Level-wise Optimization and Pruning	✅	✅	✅	✅	✅	❌	✅	6
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data	❌	❌	✅	✅	✅	❌	✅	4
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders	❌	❌	✅	✅	❌	❌	✅	3
Compute or Load KV Cache? Why Not Both?	✅	❌	✅	❌	✅	✅	✅	5
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows	✅	✅	✅	❌	✅	❌	✅	5
Computing Voting Rules with Improvement Feedback	❌	✅	❌	❌	❌	❌	✅	2
ConText: Driving In-context Learning for Text Removal and Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Concentration Distribution Learning from Label Distributions	❌	✅	✅	✅	✅	❌	✅	5
Concept Reachability in Diffusion Models: Beyond Dataset Constraints	❌	✅	✅	❌	❌	❌	✅	3
Concept-Based Unsupervised Domain Adaptation	✅	✅	✅	❌	❌	❌	✅	4
Concept-Centric Token Interpretation for Vector-Quantized Generative Models	❌	✅	✅	✅	❌	❌	✅	4
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features	✅	✅	✅	✅	❌	❌	✅	5
Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration	✅	✅	❌	❌	❌	❌	✅	3
Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Conditioning Diffusions Using Malliavin Calculus	✅	❌	✅	❌	❌	❌	✅	3
ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization	❌	✅	✅	✅	✅	❌	✅	5
Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification	❌	❌	✅	✅	❌	❌	✅	3
Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention	✅	✅	✅	❌	❌	❌	❌	3
Conformal Anomaly Detection in Event Sequences	✅	✅	✅	✅	✅	❌	✅	6
Conformal Prediction as Bayesian Quadrature	❌	✅	✅	✅	❌	❌	✅	4
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach	✅	❌	✅	✅	❌	❌	✅	4
Conformal Tail Risk Control for Large Language Model Alignment	✅	✅	✅	✅	✅	❌	✅	6
Conformity Score Averaging for Classification	✅	✅	✅	✅	❌	❌	✅	5
Confounder-Free Continual Learning via Recursive Feature Normalization	❌	✅	✅	✅	✅	❌	✅	5
Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret	✅	❌	❌	❌	✅	❌	✅	3
Consensus Based Stochastic Optimal Control	✅	✅	✅	✅	❌	❌	✅	5
Consensus Is All You Get: The Role of Attention in Transformers	❌	✅	✅	❌	❌	❌	✅	3
Conservative Offline Goal-Conditioned Implicit V-Learning	✅	✅	✅	❌	❌	❌	✅	4
Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability	✅	❌	✅	✅	❌	❌	✅	4
Constrain Alignment with Sparse Autoencoders	❌	❌	✅	❌	✅	❌	✅	3
Constrained Belief Updates Explain Geometric Structures in Transformer Representations	❌	❌	❌	❌	❌	❌	✅	1
Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium	✅	✅	❌	❌	❌	❌	✅	3
Constrained Online Convex Optimization with Polyak Feasibility Steps	✅	✅	❌	❌	❌	❌	✅	3
Constrained Pareto Set Identification with Bandit Feedback	✅	❌	✅	❌	✅	✅	✅	5
Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images	✅	✅	✅	✅	❌	❌	✅	5
Context is Key: A Benchmark for Forecasting with Essential Textual Information	❌	✅	✅	✅	✅	❌	✅	5
Context-Informed Neural ODEs Unexpectedly Identify Broken Symmetries: Insights from the Poincaré–Hopf Theorem	✅	❌	❌	✅	❌	❌	✅	3
Contextual Bandits for Unbounded Context Distributions	✅	❌	✅	❌	❌	❌	✅	3
Contextual Linear Bandits with Delay as Payoff	✅	❌	❌	❌	❌	❌	✅	2
Contextual Online Decision Making with Infinite-Dimensional Functional Regression	✅	❌	❌	❌	❌	❌	❌	1
Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach	❌	❌	❌	❌	❌	❌	✅	1
Contextures: Representations from Contexts	❌	✅	✅	✅	❌	❌	✅	4
Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective	✅	✅	✅	✅	✅	❌	✅	6
Continual Reinforcement Learning by Planning with Online World Models	✅	✅	✅	❌	✅	✅	✅	6
Continuous Bayesian Model Selection for Multivariate Causal Discovery	✅	✅	✅	❌	✅	❌	✅	5
Continuous Semi-Implicit Models	✅	✅	✅	✅	✅	❌	✅	6
Continuous Visual Autoregressive Generation via Score Maximization	❌	✅	✅	❌	✅	❌	✅	4
Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games	✅	❌	✅	❌	❌	❌	✅	3
Continuously Updating Digital Twins using Large Language Models	❌	❌	✅	✅	❌	✅	✅	4
Contour Integration Underlies Human-Like Vision	❌	❌	✅	✅	✅	❌	✅	4
Contract Design Under Approximate Best Responses	✅	❌	❌	❌	❌	❌	❌	1
Contradiction Retrieval via Contrastive Learning with Sparsity	❌	❌	✅	✅	✅	❌	✅	4
Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification	✅	❌	✅	✅	✅	❌	✅	5
Contrastive Localized Language-Image Pre-Training	✅	❌	✅	✅	✅	❌	✅	5
Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion	✅	✅	✅	✅	❌	❌	✅	5
Contrastive Visual Data Augmentation	❌	✅	✅	✅	✅	❌	✅	5
Control and Realism: Best of Both Worlds in Layout-to-Image without Training	❌	❌	✅	❌	❌	❌	✅	2
Controllable Data Generation with Hierarchical Neural Representations	❌	❌	✅	✅	✅	❌	✅	4
Controlled Generation with Equivariant Variational Flow Matching	✅	❌	✅	❌	❌	❌	❌	2
Controlling Large Language Model with Latent Action	✅	✅	✅	❌	❌	❌	✅	4
Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning	❌	✅	✅	✅	✅	❌	✅	5
Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration	✅	✅	✅	❌	✅	✅	✅	6
Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity	✅	✅	✅	❌	✅	❌	✅	5
Convergence of Consistency Model with Multistep Sampling under General Data Assumptions	✅	❌	❌	❌	❌	❌	✅	2
Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization	✅	❌	❌	❌	❌	❌	❌	1
Convergence of Policy Mirror Descent Beyond Compatible Function Approximation	✅	❌	❌	❌	❌	❌	❌	1
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Cooperation of Experts: Fusing Heterogeneous Information with Large Margin	❌	✅	✅	✅	✅	✅	✅	6
Copilot Arena: A Platform for Code LLM Evaluation in the Wild	❌	✅	✅	✅	❌	❌	✅	4
Core Context Aware Transformers for Long Context Language Modeling	✅	✅	✅	✅	✅	❌	✅	6
Core Knowledge Deficits in Multi-Modal Language Models	❌	❌	✅	❌	✅	❌	✅	3
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models	✅	✅	✅	❌	✅	❌	✅	5
Correlated Errors in Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
Correlation Clustering Beyond the Pivot Algorithm	✅	❌	✅	❌	❌	❌	✅	3
Cost-efficient Collaboration between On-device and Cloud Language Models	✅	❌	✅	✅	✅	❌	✅	5
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering	❌	✅	✅	✅	✅	❌	✅	5
Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation	✅	❌	✅	✅	❌	❌	✅	4
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making	✅	✅	❌	❌	✅	✅	✅	5
Counterfactual Graphical Models: Constraints and Inference	✅	❌	❌	❌	❌	❌	❌	1
Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation	❌	❌	✅	❌	❌	❌	❌	1
Counting atoms faster: policy-based nuclear magnetic resonance pulse sequencing for atomic abundance measurement	✅	❌	❌	❌	❌	❌	✅	2
Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers	❌	✅	❌	✅	❌	✅	✅	4
Cover learning for large-scale topology representation	✅	✅	✅	❌	✅	❌	✅	5
Covered Forest: Fine-grained generalization analysis of graph neural networks	❌	✅	✅	✅	✅	❌	✅	5
Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems	✅	✅	✅	❌	❌	❌	✅	4
Cradle: Empowering Foundation Agents towards General Computer Control	✅	✅	✅	❌	✅	✅	✅	6
Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments	❌	✅	❌	❌	✅	❌	✅	3
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM’s Reasoning Capability	❌	❌	✅	✅	❌	❌	✅	3
Cross-City Latent Space Alignment for Consistency Region Embedding	❌	✅	✅	✅	❌	❌	✅	4
Cross-Modal Alignment via Variational Copula Modelling	✅	✅	✅	✅	✅	✅	✅	7
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination	✅	✅	❌	✅	❌	❌	✅	4
Cross-regularization: Adaptive Model Complexity through Validation Gradients	✅	❌	✅	✅	❌	❌	✅	4
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning	❌	❌	✅	❌	✅	❌	✅	3
Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing	✅	✅	✅	✅	✅	❌	✅	6
Curse of High Dimensionality Issue in Transformer for Long Context Modeling	✅	✅	✅	❌	✅	❌	✅	5
CursorCore: Assist Programming through Aligning Anything	❌	✅	✅	❌	✅	✅	✅	5
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection	✅	✅	✅	✅	✅	❌	✅	6
Curvature Enhanced Data Augmentation for Regression	✅	✅	✅	✅	✅	❌	✅	6
Curvature-aware Graph Attention for PDEs on Manifolds	❌	✅	❌	✅	✅	✅	✅	5
Customizing the Inductive Biases of Softmax Attention using Structured Matrices	❌	✅	✅	❌	❌	❌	✅	3
Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning	✅	✅	✅	✅	❌	❌	✅	5
D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples	✅	✅	✅	✅	✅	❌	✅	6
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs	✅	✅	✅	❌	✅	❌	✅	5
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning	❌	✅	✅	✅	❌	❌	✅	4
DCBM: Data-Efficient Visual Concept Bottleneck Models	✅	✅	✅	✅	✅	❌	✅	6
DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space	✅	✅	✅	❌	✅	❌	✅	5
DEALing with Image Reconstruction: Deep Attentive Least Squares	❌	✅	✅	✅	✅	❌	✅	5
DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts	✅	✅	✅	✅	✅	❌	✅	6
DIME: Diffusion-Based Maximum Entropy Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning	❌	✅	✅	❌	✅	❌	✅	4
DIS-CO: Discovering Copyrighted Content in VLMs Training Data	❌	✅	✅	✅	✅	✅	✅	6
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction	❌	❌	✅	✅	✅	✅	✅	5
DLP: Dynamic Layerwise Pruning in Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing	✅	❌	✅	✅	✅	❌	✅	5
DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis	✅	❌	✅	✅	✅	❌	✅	5
DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning	✅	✅	✅	✅	✅	❌	✅	6
DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation	✅	✅	✅	✅	❌	❌	✅	5
DPO Meets PPO: Reinforced Token Optimization for RLHF	✅	✅	✅	❌	✅	❌	✅	5
DRAG: Data Reconstruction Attack using Guided Diffusion	✅	✅	✅	✅	✅	❌	✅	6
DS-VLM: Diffusion Supervision Vision Language Model	❌	❌	✅	✅	❌	❌	✅	3
DSBRouter: End-to-end Global Routing via Diffusion Schrödinger Bridge	✅	✅	✅	✅	✅	❌	✅	6
DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers	❌	❌	❌	❌	✅	❌	✅	2
DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence	✅	❌	✅	❌	✅	❌	✅	4
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications	❌	✅	✅	✅	✅	❌	✅	5
DVI:A Derivative-based Vision Network for INR	❌	✅	✅	✅	✅	❌	✅	5
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models	✅	❌	✅	❌	✅	❌	✅	4
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models	✅	✅	✅	❌	✅	❌	❌	4
Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development	❌	✅	✅	✅	✅	❌	✅	5
Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects	✅	❌	❌	❌	❌	❌	✅	2
DataDecide: How to Predict Best Pretraining Data with Small Experiments	❌	❌	✅	✅	✅	❌	✅	4
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference	✅	✅	✅	❌	✅	❌	✅	5
David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training	✅	✅	✅	✅	❌	❌	✅	5
De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks	❌	✅	✅	✅	✅	❌	✅	5
De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs	❌	❌	❌	✅	✅	❌	✅	3
De-mark: Watermark Removal in Large Language Models	✅	❌	✅	❌	❌	✅	✅	4
DeFoG: Discrete Flow Matching for Graph Generation	✅	✅	✅	✅	✅	❌	✅	6
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets	❌	✅	✅	✅	✅	✅	✅	6
Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making	✅	✅	✅	✅	✅	❌	✅	6
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents	✅	❌	✅	✅	❌	❌	❌	3
Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention	✅	✅	✅	✅	❌	❌	✅	5
Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization	❌	❌	❌	❌	❌	❌	✅	1
Decomposition of Graphic Design with Unified Multimodal Model	❌	✅	✅	✅	✅	❌	✅	5
Decoupled SGDA for Games with Intermittent Strategy Communication	✅	❌	✅	✅	✅	❌	✅	5
Deep Bayesian Filter for Bayes-Faithful Data Assimilation	❌	✅	✅	✅	✅	❌	✅	5
Deep Electromagnetic Structure Design Under Limited Evaluation Budgets	✅	❌	❌	❌	❌	❌	✅	2
Deep Fuzzy Multi-view Learning for Reliable Classification	✅	✅	✅	✅	✅	❌	✅	6
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer	❌	❌	❌	❌	❌	❌	✅	1
Deep Neural Cellular Potts Models	✅	✅	✅	❌	❌	❌	✅	4
Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction	✅	❌	✅	✅	✅	❌	✅	5
Deep Reinforcement Learning from Hierarchical Preference Design	❌	❌	✅	❌	✅	❌	✅	3
Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines	❌	❌	❌	❌	❌	❌	❌	0
Deep Streaming View Clustering	✅	❌	✅	❌	❌	✅	✅	4
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions	✅	✅	✅	✅	❌	❌	✅	5
Deep Unsupervised Hashing via External Guidance	✅	✅	✅	✅	❌	❌	✅	5
DeepCrossAttention: Supercharging Transformer Residual Connections	❌	❌	✅	✅	✅	❌	✅	4
DeepLayout: Learning Neural Representations of Circuit Placement Layout	✅	❌	✅	✅	❌	❌	✅	4
Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision	❌	✅	✅	❌	❌	❌	✅	3
Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph	❌	❌	✅	✅	✅	❌	✅	4
Deliberation in Latent Space via Differentiable Cache Augmentation	❌	❌	✅	❌	❌	❌	✅	2
Delta Decompression for MoE-based LLMs Compression	✅	✅	✅	❌	✅	❌	✅	5
Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate	❌	❌	✅	✅	✅	❌	✅	4
Demonstration Selection for In-Context Learning via Reinforcement Learning	✅	❌	✅	❌	❌	❌	❌	2
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector	❌	✅	✅	❌	✅	❌	✅	4
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs	✅	❌	✅	✅	✅	❌	✅	5
Demystifying Long Chain-of-Thought Reasoning	✅	✅	✅	✅	❌	❌	✅	5
Demystifying Singular Defects in Large Language Models	❌	✅	✅	✅	❌	❌	❌	3
Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation	❌	❌	✅	❌	❌	❌	✅	2
Dendritic Localized Learning: Toward Biologically Plausible Algorithm	✅	✅	✅	✅	❌	❌	✅	5
Density Ratio Estimation with Conditional Probability Paths	❌	✅	✅	✅	✅	❌	✅	5
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning	✅	❌	✅	✅	✅	❌	✅	5
Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation	✅	✅	✅	❌	❌	❌	✅	4
Design Considerations in Offline Preference-based RL	❌	❌	✅	❌	❌	❌	✅	2
Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling	✅	❌	✅	✅	✅	✅	✅	6
Detecting Strategic Deception with Linear Probes	❌	✅	✅	✅	❌	❌	✅	4
Determinant Estimation under Memory Constraints and Neural Scaling Laws	✅	✅	✅	❌	✅	❌	✅	5
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective	✅	✅	✅	✅	✅	❌	✅	6
Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap	✅	❌	❌	❌	❌	❌	❌	1
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models	✅	✅	✅	❌	❌	❌	✅	4
DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control	❌	❌	✅	✅	✅	✅	✅	5
DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation	✅	✅	✅	❌	✅	❌	✅	5
DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models	✅	✅	❌	❌	❌	❌	✅	3
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation	✅	❌	✅	❌	✅	❌	✅	4
Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation	❌	✅	✅	❌	✅	❌	✅	4
Dialogue Without Limits: Constant-Sized KV Caches for Extended Response in LLMs	✅	✅	✅	❌	✅	❌	✅	5
Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts	❌	✅	✅	❌	❌	❌	✅	3
DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples	✅	❌	✅	✅	✅	❌	✅	5
DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra	❌	✅	✅	❌	✅	❌	✅	4
Differentiable Quadratic Optimization For the Maximum Independent Set Problem	✅	✅	✅	❌	✅	❌	✅	5
Differentiable Solver Search for Fast Diffusion Sampling	✅	❌	✅	❌	✅	❌	✅	4
Differentiable Structure Learning with Ancestral Constraints	✅	❌	✅	❌	✅	❌	✅	4
Differential Coding for Training-Free ANN-to-SNN Conversion	✅	✅	✅	❌	❌	❌	✅	4
Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms	❌	❌	❌	❌	❌	❌	❌	0
Differential Privacy Under Class Imbalance: Methods and Empirical Insights	✅	❌	✅	❌	✅	❌	✅	4
Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference	❌	❌	✅	✅	❌	❌	✅	3
Differentially Private Boxplots	✅	✅	✅	❌	✅	❌	✅	5
Differentially Private Federated $k$-Means Clustering with Server-Side Data	✅	✅	✅	❌	❌	❌	✅	4
Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model	✅	❌	❌	❌	❌	❌	❌	1
Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces	✅	✅	✅	✅	❌	❌	✅	5
Diffusion Adversarial Post-Training for One-Step Video Generation	❌	❌	✅	❌	✅	❌	✅	3
Diffusion Counterfactual Generation with Semantic Abduction	✅	✅	✅	✅	✅	❌	✅	6
Diffusion Instruction Tuning	✅	✅	✅	✅	✅	❌	✅	6
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation	✅	❌	✅	✅	✅	❌	✅	5
Diffusion Sampling Correction via Approximately 10 Parameters	✅	✅	✅	✅	✅	❌	✅	6
Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors	❌	❌	✅	❌	❌	❌	✅	2
Diffusion on Language Model Encodings for Protein Sequence Generation	❌	✅	✅	❌	✅	❌	✅	4
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain	✅	✅	✅	✅	❌	❌	✅	5
DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression	❌	✅	✅	❌	✅	❌	✅	4
Dimension-Free Adaptive Subgradient Methods with Frequent Directions	✅	❌	✅	✅	✅	❌	✅	5
Dimension-Independent Rates for Structured Neural Density Estimation	❌	❌	✅	❌	❌	❌	❌	1
Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights	❌	✅	❌	❌	❌	❌	✅	2
DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy	❌	❌	❌	❌	❌	❌	✅	1
Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models	❌	❌	✅	❌	❌	❌	✅	2
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator	❌	✅	✅	✅	✅	❌	✅	5
Direct Motion Models for Assessing Generated Videos	❌	✅	✅	✅	❌	❌	✅	4
Direct Prediction Set Minimization via Bilevel Conformal Classifier Training	✅	✅	✅	✅	❌	❌	✅	5
Directed Graph Grammars for Sequence-based Learning	✅	✅	✅	✅	❌	❌	✅	5
Directly Forecasting Belief for Reinforcement Learning with Delays	✅	✅	✅	❌	❌	❌	✅	4
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
Discovering Latent Causal Graphs from Spatiotemporal Data	❌	✅	✅	✅	❌	❌	✅	4
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning	❌	✅	❌	✅	✅	❌	✅	4
Discovering Spoofing Attempts on Language Model Watermarks	❌	❌	✅	✅	❌	❌	✅	3
Discovering Symbolic Cognitive Models from Human and Animal Behavior	✅	❌	✅	✅	❌	✅	✅	5
Discovering a Zero (Zero-Vector Class of Machine Learning)	❌	✅	✅	❌	❌	❌	❌	2
Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension	❌	❌	✅	✅	❌	❌	✅	3
Discrepancy Minimization in Input-Sparsity Time	✅	✅	❌	❌	❌	❌	✅	3
Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions	✅	❌	✅	❌	✅	❌	✅	4
Discrete Neural Algorithmic Reasoning	✅	✅	✅	✅	✅	❌	✅	6
Discrete and Continuous Difference of Submodular Minimization	✅	✅	❌	❌	❌	✅	✅	4
Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data	✅	✅	✅	✅	✅	❌	✅	6
Discriminative Policy Optimization for Token-Level Reward Models	✅	✅	✅	✅	✅	❌	✅	6
Disentangled Graph Spectral Domain Adaptation	❌	✅	✅	❌	✅	❌	✅	4
Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts	✅	❌	✅	✅	✅	✅	✅	6
Disentangling and Integrating Relational and Sensory Information in Transformer Architectures	✅	✅	✅	✅	❌	❌	✅	5
Disparate Conditional Prediction in Multiclass Classifiers	✅	✅	✅	❌	❌	❌	✅	4
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms	❌	✅	✅	✅	❌	❌	✅	4
Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies	✅	✅	✅	❌	❌	❌	✅	4
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs	✅	✅	✅	✅	✅	❌	✅	6
Distillation Scaling Laws	✅	❌	✅	✅	❌	✅	✅	5
Distillation of Discrete Diffusion through Dimensional Correlations	❌	✅	✅	❌	✅	❌	✅	4
Distilling the Knowledge in Data Pruning	❌	❌	✅	✅	❌	❌	✅	3
Distinguishing Cause from Effect with Causal Velocity Models	❌	✅	✅	✅	✅	❌	✅	5
Distributed Conformal Prediction via Message Passing	✅	✅	✅	✅	❌	❌	✅	5
Distributed Differentially Private Data Analytics via Secure Sketching	✅	❌	✅	❌	✅	✅	✅	5
Distributed Event-Based Learning via ADMM	✅	❌	✅	✅	❌	❌	✅	4
Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal	❌	❌	❌	❌	❌	❌	❌	0
Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning	✅	❌	✅	✅	✅	❌	✅	5
Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold	✅	❌	✅	✅	❌	❌	✅	4
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective	❌	✅	✅	✅	✅	✅	✅	6
Distributional Diffusion Models with Scoring Rules	✅	❌	✅	❌	✅	❌	✅	4
Distributionally Robust Active Learning for Gaussian Process Regression	✅	❌	✅	❌	❌	❌	✅	3
Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping	✅	❌	❌	❌	✅	❌	✅	3
Distributionally Robust Policy Learning under Concept Drifts	✅	✅	✅	✅	✅	❌	✅	6
Diverging Preferences: When do Annotators Disagree and do Models Know?	❌	❌	✅	✅	✅	❌	✅	4
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift	✅	✅	✅	✅	✅	❌	✅	6
Diversified Flow Matching with Translation Identifiability	✅	❌	✅	❌	❌	✅	✅	4
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity	✅	✅	❌	❌	✅	❌	✅	4
Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization	✅	✅	✅	❌	✅	❌	✅	5
Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering	❌	❌	✅	✅	❌	❌	✅	3
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning	✅	✅	✅	✅	❌	✅	✅	6
Divide and Conquer: Learning Label Distribution with Subtasks	✅	✅	✅	✅	✅	❌	✅	6
Diving into Self-Evolving Training for Multimodal Reasoning	❌	✅	✅	✅	❌	❌	✅	4
Do Bayesian Neural Networks Actually Behave Like Bayesian Models?	❌	✅	✅	✅	❌	✅	✅	5
Do Multiple Instance Learning Models Transfer?	❌	✅	✅	✅	✅	❌	✅	5
Do NOT Think That Much for 2+3=? On the Overthinking of Long Reasoning Models	❌	✅	✅	❌	❌	❌	❌	2
Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech	❌	❌	✅	✅	❌	❌	✅	3
Do Vision-Language Models Really Understand Visual Language?	❌	✅	✅	✅	❌	❌	✅	4
Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective	✅	❌	❌	❌	❌	❌	❌	1
Do We Really Need Message Passing in Brain Network Modeling?	❌	✅	✅	✅	✅	❌	✅	5
DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning	✅	❌	✅	❌	✅	❌	✅	4
DocVXQA: Context-Aware Visual Explanations for Document Question Answering	❌	✅	✅	❌	❌	❌	✅	3
Does Data Scaling Lead to Visual Compositional Generalization?	✅	✅	✅	✅	❌	❌	✅	5
Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion	✅	❌	✅	✅	❌	❌	✅	4
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis	❌	✅	✅	❌	❌	❌	✅	3
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?	❌	✅	✅	❌	✅	❌	✅	4
Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Does learning the right latent variables necessarily improve in-context learning?	❌	❌	✅	✅	✅	❌	✅	4
Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space	✅	❌	✅	✅	❌	❌	✅	4
Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training	✅	❌	✅	✅	❌	❌	✅	4
Don’t Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters	✅	❌	✅	✅	✅	✅	✅	6
Double Machine Learning for Causal Inference under Shared-State Interference	✅	✅	❌	❌	❌	❌	❌	2
Double-Filter: Efficient Fine-tuning of Pre-trained Vision-Language Models via Patch&Layer Filtering	✅	❌	✅	✅	✅	✅	✅	6
Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials	✅	❌	❌	✅	❌	❌	❌	2
Doubly Robust Conformalized Survival Analysis with Right-Censored Data	✅	✅	✅	✅	❌	❌	✅	5
Doubly Robust Fusion of Many Treatments for Policy Learning	✅	❌	❌	✅	❌	❌	✅	3
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model	✅	✅	✅	❌	✅	❌	✅	5
DragSolver: A Multi-Scale Transformer for Real-World Automotive Drag Coefficient Estimation	❌	❌	✅	✅	✅	❌	✅	4
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization	✅	✅	✅	❌	✅	❌	✅	5
DriveGPT: Scaling Autoregressive Behavior Models for Driving	❌	❌	✅	✅	✅	❌	✅	4
Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning	✅	✅	✅	❌	✅	❌	✅	5
Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant	✅	✅	✅	✅	❌	✅	✅	6
Dueling Convex Optimization with General Preferences	✅	❌	❌	❌	❌	❌	❌	1
DyCodeEval: Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination	✅	✅	✅	✅	❌	✅	✅	6
DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation	❌	❌	✅	✅	✅	❌	✅	4
DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making	❌	❌	✅	✅	✅	❌	✅	4
Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning	✅	❌	✅	✅	✅	❌	✅	5
Dynamic Similarity Graph Construction with Kernel Density Estimation	✅	✅	✅	✅	✅	❌	✅	6
Dynamic Sparse Training of Diagonally Sparse Networks	❌	✅	✅	✅	✅	❌	✅	5
Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data	❌	✅	✅	✅	✅	❌	✅	5
Dynamical phases of short-term memory mechanisms in RNNs	❌	✅	✅	❌	✅	❌	✅	4
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time	✅	✅	✅	❌	❌	❌	✅	4
EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification	❌	✅	✅	✅	✅	✅	✅	6
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization	✅	❌	✅	✅	✅	❌	✅	5
EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph	❌	✅	✅	❌	❌	❌	✅	3
EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping	❌	✅	✅	✅	✅	✅	✅	6
EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation	❌	✅	✅	✅	❌	❌	✅	4
EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation	✅	✅	✅	✅	✅	❌	✅	6
ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics	✅	❌	✅	❌	✅	❌	✅	4
ELITE: Enhanced Language-Image Toxicity Evaluation for Safety	❌	❌	❌	❌	❌	❌	❌	0
ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces	✅	✅	✅	✅	✅	❌	✅	6
ELoRA: Low-Rank Adaptation for Equivariant GNNs	❌	❌	✅	✅	❌	✅	✅	4
ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks	❌	❌	✅	✅	❌	❌	✅	3
ENSUR: Equitable and Statistically Unbiased Recommendation	✅	✅	✅	✅	❌	❌	✅	5
EPIC: Efficient Position-Independent Caching for Serving Large Language Models	❌	✅	✅	❌	✅	✅	✅	5
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling	❌	✅	✅	✅	✅	❌	✅	5
ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models	✅	❌	✅	✅	✅	❌	✅	5
ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans	✅	✅	✅	✅	❌	❌	✅	5
ETTA: Elucidating the Design Space of Text-to-Audio Models	❌	✅	✅	✅	✅	✅	✅	6
EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration	❌	✅	✅	❌	❌	❌	✅	3
Earley-Driven Dynamic Pruning for Efficient Structured Decoding	❌	✅	✅	❌	✅	✅	✅	5
EasyInv: Toward Fast and Better DDIM Inversion	✅	✅	✅	✅	✅	❌	✅	6
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM	❌	❌	✅	✅	❌	❌	✅	3
EcoMapper: Generative Modeling for Climate-Aware Satellite Imagery	❌	✅	✅	✅	❌	❌	✅	4
Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges	✅	✅	✅	❌	✅	❌	✅	5
EditLord: Learning Code Transformation Rules for Code Editing	✅	❌	✅	✅	✅	❌	✅	5
Editable Concept Bottleneck Models	✅	✅	✅	✅	✅	❌	❌	5
Editable Noise Map Inversion: Encoding Target-image into Noise For High-Fidelity Image Manipulation	✅	❌	✅	❌	✅	✅	✅	5
EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction	❌	❌	✅	✅	✅	❌	✅	4
Effective and Efficient Masked Image Generation Models	❌	✅	✅	❌	✅	❌	✅	4
EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning	❌	✅	✅	❌	✅	✅	✅	5
Efficient ANN-SNN Conversion with Error Compensation Learning	❌	❌	✅	❌	❌	❌	✅	2
Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set	✅	✅	✅	✅	✅	❌	✅	6
Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization	✅	❌	✅	✅	❌	❌	✅	4
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization	✅	❌	✅	✅	✅	❌	✅	5
Efficient Diffusion Models for Symmetric Manifolds	✅	✅	❌	✅	✅	❌	✅	5
Efficient Distributed Optimization under Heavy-Tailed Noise	✅	✅	✅	✅	❌	❌	✅	5
Efficient Federated Incomplete Multi-View Clustering	✅	✅	✅	❌	✅	❌	✅	5
Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation	✅	✅	✅	✅	✅	❌	✅	6
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance	✅	❌	✅	✅	✅	✅	✅	6
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens	✅	❌	✅	❌	✅	❌	✅	4
Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation	❌	✅	✅	✅	✅	✅	✅	6
Efficient Heterogeneity-Aware Federated Active Data Selection	✅	❌	✅	✅	❌	❌	✅	4
Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling	✅	✅	✅	❌	✅	✅	✅	6
Efficient LiDAR Reflectance Compression via Scanning Serialization	❌	❌	✅	✅	✅	✅	✅	5
Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment	✅	✅	✅	✅	✅	❌	✅	6
Efficient Long Context Fine-tuning with Chunk Flow	✅	❌	✅	❌	✅	❌	✅	4
Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow	✅	✅	✅	✅	✅	❌	✅	6
Efficient Motion Prompt Learning for Robust Visual Tracking	❌	✅	✅	✅	✅	❌	✅	5
Efficient Multi-modal Long Context Learning for Training-free Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination	✅	❌	❌	❌	❌	❌	❌	1
Efficient Network Automatic Relevance Determination	✅	❌	✅	✅	✅	❌	✅	5
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions	✅	✅	✅	✅	✅	❌	✅	6
Efficient Online Reinforcement Learning for Diffusion Policy	✅	✅	✅	✅	✅	❌	✅	6
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method	✅	✅	✅	✅	✅	❌	✅	6
Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity	✅	❌	✅	❌	✅	❌	✅	4
Efficient Personalized Adaptation for Physiological Signal Foundation Model	✅	❌	✅	✅	❌	❌	✅	4
Efficient Quantification of Multimodal Interaction at Sample Level	✅	✅	✅	❌	❌	❌	❌	3
Efficient Robotic Policy Learning via Latent Space Backward Planning	❌	❌	✅	❌	✅	❌	✅	3
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks	✅	❌	✅	✅	✅	❌	✅	5
Efficient Skill Discovery via Regret-Aware Optimization	✅	✅	✅	❌	✅	✅	✅	6
Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization	✅	❌	✅	❌	✅	❌	✅	4
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging	❌	❌	✅	✅	✅	❌	✅	4
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs	❌	✅	✅	✅	✅	❌	✅	5
Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity	❌	✅	✅	✅	✅	✅	✅	6
Efficient and Separate Authentication Image Steganography Network	❌	✅	✅	✅	✅	❌	✅	5
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space	✅	✅	✅	❌	✅	❌	✅	5
Efficiently Serving Large Multimodal Models Using EPD Disaggregation	❌	✅	✅	✅	✅	✅	✅	6
Efficiently Vectorized MCMC on Modern Accelerators	✅	✅	✅	❌	✅	❌	✅	5
EgoPrivacy: What Your First-Person Camera Says About You?	❌	✅	✅	✅	✅	❌	✅	5
Ehrenfeucht-Haussler Rank and Chain of Thought	❌	❌	❌	❌	❌	❌	❌	0
Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel	❌	❌	✅	❌	❌	❌	✅	2
Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias	❌	✅	✅	✅	✅	❌	✅	5
Eliciting Language Model Behaviors with Investigator Agents	✅	❌	✅	✅	✅	❌	✅	5
Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers	❌	❌	✅	❌	❌	❌	✅	2
Elucidating the Design Space of Multimodal Protein Language Models	❌	✅	✅	✅	✅	❌	✅	5
Elucidating the design space of language models for image generation	❌	❌	✅	❌	✅	❌	✅	3
Embedding Safety into RL: A New Take on Trust Region Methods	✅	✅	✅	❌	❌	❌	✅	4
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents	❌	✅	✅	✅	❌	✅	✅	5
Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective	❌	❌	✅	✅	✅	❌	✅	4
Emergence in non-neural models: grokking modular arithmetic via average gradient outer product	✅	❌	❌	✅	✅	❌	✅	4
Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs	❌	❌	✅	❌	❌	❌	✅	2
Emergent Response Planning in LLMs	❌	❌	✅	✅	❌	❌	✅	3
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph	✅	✅	✅	✅	✅	❌	✅	6
Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection	✅	✅	✅	❌	❌	❌	❌	3
Emotional Face-to-Speech	❌	❌	✅	✅	✅	❌	✅	4
Empirical Privacy Variance	✅	✅	✅	✅	✅	✅	✅	7
Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks	✅	✅	✅	✅	✅	❌	✅	6
Empowering World Models with Reflection for Embodied Video Prediction	✅	❌	✅	❌	✅	❌	✅	4
EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities	❌	✅	✅	✅	❌	❌	✅	4
Enabling Optimal Decisions in Rehearsal Learning under CARE Condition	✅	❌	✅	❌	✅	❌	✅	4
EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption	❌	✅	✅	❌	✅	❌	✅	4
End-to-End Learning Framework for Solving Non-Markovian Optimal Control	❌	✅	❌	❌	✅	❌	✅	3
Energy-Based Flow Matching for Generating 3D Molecular Structure	✅	✅	✅	✅	✅	❌	✅	6
Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model	❌	❌	✅	✅	✅	❌	✅	4
Enforcing Idempotency in Neural Networks	✅	❌	✅	❌	❌	❌	✅	3
Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation	✅	✅	✅	✅	✅	✅	✅	7
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration	✅	✅	✅	❌	✅	❌	✅	5
Enhancing Decision-Making of Large Language Models via Actor-Critic	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story	✅	❌	❌	❌	❌	❌	✅	2
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Foundation Models with Federated Domain Knowledge Infusion	✅	✅	✅	✅	✅	✅	✅	7
Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance	❌	❌	✅	✅	✅	✅	✅	5
Enhancing Graph Invariant Learning from a Negative Inference Perspective	✅	❌	✅	✅	✅	✅	✅	6
Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization	❌	❌	✅	✅	✅	❌	✅	4
Enhancing Logits Distillation with Plug&Play Kendall’s $τ$ Ranking Loss	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Parallelism in Decentralized Stochastic Convex Optimization	✅	❌	✅	❌	❌	❌	✅	3
Enhancing Performance of Explainable AI Models with Constrained Concept Refinement	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models	✅	✅	✅	❌	❌	❌	✅	4
Enhancing Spectral GNNs: From Topology and Perturbation Perspectives	❌	❌	✅	✅	✅	✅	✅	5
Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing	✅	✅	✅	✅	❌	✅	✅	6
Enhancing Target-unspecific Tasks through a Features Matrix	❌	❌	✅	✅	❌	❌	✅	3
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Visual Localization with Cross-Domain Image Generation	❌	✅	✅	✅	✅	❌	✅	5
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks	✅	✅	✅	✅	❌	❌	✅	5
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification	✅	✅	✅	❌	❌	❌	❌	3
Ensemble Distribution Distillation via Flow Matching	✅	❌	✅	✅	✅	❌	✅	5
Ensemble Learned Bloom Filters: Two Oracles are Better than One	✅	❌	✅	✅	✅	❌	✅	5
EpiCoder: Encompassing Diversity and Complexity in Code Generation	✅	✅	✅	❌	❌	✅	✅	5
Epsilon-VAE: Denoising as Visual Decoding	❌	❌	✅	✅	✅	❌	✅	4
EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations	✅	✅	✅	❌	❌	❌	✅	4
Equivalence is All: A Unified View for Self-supervised Graph Learning	❌	❌	✅	✅	✅	❌	✅	4
Equivariant Neural Tangent Kernels	❌	✅	✅	❌	❌	❌	✅	3
Equivariant Polynomial Functional Networks	✅	❌	✅	✅	✅	❌	✅	5
EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers	✅	❌	✅	❌	❌	❌	✅	3
Ergodic Generative Flows	✅	❌	✅	❌	❌	❌	✅	3
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems	✅	✅	✅	✅	✅	✅	✅	7
EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams	✅	❌	❌	✅	✅	❌	✅	4
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators	❌	✅	✅	❌	✅	❌	✅	4
Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving	❌	✅	✅	✅	❌	❌	✅	4
Evaluating Neuron Explanations: A Unified Framework with Sanity Checks	❌	✅	✅	✅	❌	❌	✅	4
Event-Customized Image Generation	❌	❌	✅	❌	✅	✅	✅	4
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition	✅	❌	❌	❌	❌	❌	❌	1
EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control	✅	❌	✅	✅	✅	❌	✅	5
EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions	❌	❌	✅	✅	✅	❌	✅	4
EvoPress: Accurate Dynamic Model Compression via Evolutionary Search	✅	✅	✅	✅	✅	❌	✅	6
Evolving Minds: Logic-Informed Inference from Temporal Action Patterns	✅	❌	✅	✅	✅	❌	✅	5
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective	✅	✅	✅	✅	✅	❌	✅	6
Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models	❌	❌	✅	✅	✅	❌	✅	4
ExLM: Rethinking the Impact of $\texttt[MASK]$ Tokens in Masked Language Models	❌	✅	✅	✅	✅	❌	✅	5
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts	✅	✅	✅	✅	✅	❌	✅	6
Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements	✅	❌	❌	❌	❌	❌	❌	1
Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs	✅	❌	✅	✅	❌	❌	✅	4
Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects	❌	✅	✅	❌	✅	❌	✅	4
Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence	❌	✅	✅	❌	✅	❌	✅	4
Exogenous Isomorphism for Counterfactual Identifiability	✅	✅	❌	✅	❌	❌	✅	4
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs	✅	✅	✅	❌	✅	✅	✅	6
Expected Variational Inequalities	✅	❌	❌	❌	❌	❌	❌	1
Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts	✅	❌	✅	❌	❌	❌	✅	3
Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks’ Internal Representations	✅	✅	✅	❌	✅	✅	✅	6
Explaining the role of Intrinsic Dimensionality in Adversarial Training	✅	✅	✅	✅	✅	❌	✅	6
Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations	✅	❌	✅	✅	❌	❌	✅	4
Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization	❌	✅	✅	✅	✅	❌	✅	5
Explicit Discovery of Nonlinear Symmetries from Dynamic Data	✅	✅	✅	✅	❌	❌	✅	5
Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Explicit Preference Optimization: No Need for an Implicit Reward Model	❌	✅	✅	❌	✅	❌	✅	4
Exploiting Curvature in Online Convex Optimization with Delayed Feedback	✅	✅	✅	❌	❌	❌	✅	4
Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization	✅	❌	✅	❌	❌	❌	✅	3
Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning	✅	✅	✅	✅	✅	✅	✅	7
Exploring Invariance in Images through One-way Wave Equations	❌	❌	✅	✅	✅	❌	✅	4
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling	✅	✅	✅	❌	❌	❌	✅	4
Exploring Representations and Interventions in Time Series Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding	❌	❌	✅	✅	✅	❌	✅	4
Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards	❌	❌	✅	✅	❌	✅	✅	4
Exponential Family Variational Flow Matching for Tabular Data Generation	❌	❌	✅	✅	✅	❌	✅	4
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs	✅	✅	✅	✅	✅	✅	✅	7
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization	✅	✅	✅	✅	❌	❌	✅	5
ExtPose: Robust and Coherent Pose Estimation by Extending ViTs	❌	❌	✅	❌	✅	❌	✅	3
Extracting Rare Dependence Patterns via Adaptive Sample Reweighting	✅	✅	✅	✅	❌	❌	✅	5
Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts	❌	✅	✅	✅	❌	❌	✅	4
Extreme Value Policy Optimization for Safe Reinforcement Learning	✅	✅	✅	❌	✅	✅	✅	6
FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference	✅	✅	✅	✅	✅	❌	✅	6
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems	✅	✅	✅	✅	✅	✅	✅	7
FDGen: A Fairness-Aware Graph Generation Model	❌	❌	✅	❌	❌	❌	❌	1
FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation	❌	❌	✅	✅	✅	❌	✅	4
FG-CLIP: Fine-Grained Visual and Textual Alignment	❌	✅	✅	✅	✅	❌	✅	5
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint	✅	❌	✅	✅	✅	✅	✅	6
FLAM: Frame-Wise Language-Audio Modeling	❌	❌	✅	✅	❌	❌	✅	3
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models	✅	✅	✅	✅	❌	❌	✅	5
FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making	❌	❌	✅	❌	✅	❌	✅	3
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training	✅	✅	✅	✅	❌	❌	✅	5
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation	✅	✅	✅	❌	✅	❌	✅	5
FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees	❌	✅	✅	✅	✅	❌	✅	5
Fair Clustering via Alignment	✅	✅	✅	❌	✅	❌	✅	5
FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation	✅	❌	✅	✅	❌	✅	✅	5
FairPFN: A Tabular Foundation Model for Causal Fairness	✅	✅	✅	✅	✅	❌	✅	6
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective	❌	❌	✅	❌	❌	❌	❌	1
Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness	❌	❌	✅	❌	❌	❌	❌	1
Falcon: Fast Visuomotor Policies via Partial Denoising	✅	✅	✅	✅	❌	❌	✅	5
False Coverage Proportion Control for Conformal Prediction	✅	✅	✅	❌	✅	❌	✅	5
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms	✅	✅	✅	❌	❌	❌	✅	4
Fast Estimation of Partial Dependence Functions using Trees	✅	✅	✅	✅	✅	✅	✅	7
Fast Exact Unlearning for In-Context Learning Data for LLMs	✅	❌	✅	❌	✅	❌	✅	4
Fast Incomplete Multi-view Clustering by Flexible Anchor Learning	✅	❌	✅	❌	✅	❌	✅	4
Fast Inference with Kronecker-Sparse Matrices	✅	✅	❌	❌	✅	✅	✅	5
Fast Large Language Model Collaborative Decoding via Speculation	✅	✅	✅	❌	✅	❌	✅	5
Fast Min-$ε$ Segmented Regression using Constant-Time Segment Merging	❌	✅	✅	❌	✅	❌	✅	4
Fast Tensor Completion via Approximate Richardson Iteration	✅	✅	✅	✅	✅	✅	✅	7
Fast Video Generation with Sliding Tile Attention	✅	✅	✅	❌	✅	❌	✅	5
Fast and Low-Cost Genomic Foundation Models via Outlier Removal	❌	✅	✅	❌	✅	❌	✅	4
Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity	✅	❌	❌	❌	✅	❌	✅	3
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments	✅	✅	✅	✅	✅	❌	✅	6
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization	✅	✅	✅	✅	❌	✅	✅	6
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Faster Approximation Algorithms for k-Center via Data Reduction	✅	✅	✅	❌	✅	✅	✅	6
Faster Global Minimum Cut with Predictions	✅	✅	✅	❌	❌	❌	✅	4
Faster Rates for Private Adversarial Bandits	✅	❌	❌	❌	❌	❌	❌	1
Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching	✅	❌	✅	✅	❌	❌	✅	4
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation	✅	✅	✅	✅	✅	❌	✅	6
Feasible Action Search for Bandit Linear Programs via Thompson Sampling	✅	❌	✅	❌	✅	❌	✅	4
FeatSharp: Your Vision Model Features, Sharper	❌	✅	✅	❌	✅	❌	✅	4
Feature Importance Metrics in the Presence of Missing Data	❌	❌	❌	✅	❌	❌	✅	2
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry	✅	✅	✅	✅	❌	❌	✅	5
Feature Shift Localization Network	❌	✅	✅	✅	✅	❌	✅	5
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions	❌	❌	✅	❌	❌	❌	✅	2
Feature out! Let Raw Image as Your Condition for Blind Face Restoration	✅	❌	✅	✅	✅	❌	✅	5
Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions	❌	✅	❌	✅	❌	❌	✅	3
Features are fate: a theory of transfer learning in high-dimensional regression	❌	✅	❌	❌	❌	❌	✅	2
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble	✅	✅	✅	✅	✅	❌	✅	6
FedClean: A General Robust Label Noise Correction for Federated Learning	✅	❌	✅	✅	❌	❌	✅	4
FedECADO: A Dynamical System Model of Federated Learning	✅	❌	✅	❌	❌	❌	✅	3
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning	✅	✅	✅	✅	❌	❌	✅	5
FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation	✅	✅	✅	✅	✅	✅	✅	7
FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates	✅	✅	✅	✅	✅	✅	✅	7
FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence	✅	❌	✅	✅	✅	❌	✅	5
Federated Causal Structure Learning with Non-identical Variable Sets	✅	❌	✅	❌	❌	❌	✅	3
Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation	✅	✅	✅	❌	❌	❌	✅	4
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework	✅	✅	✅	✅	❌	❌	✅	5
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality	✅	❌	✅	✅	❌	❌	✅	4
Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance	✅	✅	✅	❌	❌	❌	✅	4
Federated Learning for Feature Generalization with Convex Constraints	✅	❌	✅	✅	✅	❌	✅	5
Federated Node-Level Clustering Network with Cross-Subgraph Link Mending	✅	❌	✅	✅	✅	✅	✅	6
Federated Oriented Learning: A Practical One-Shot Personalized Federated Learning Framework	✅	❌	✅	✅	✅	❌	✅	5
Feedforward Few-shot Species Range Estimation	❌	✅	✅	✅	✅	❌	✅	5
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models	✅	✅	✅	✅	❌	❌	✅	5
Few-Shot Learner Generalizes Across AI-Generated Image Detection	✅	✅	✅	✅	✅	❌	✅	6
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts	❌	✅	✅	❌	✅	❌	✅	4
FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks	✅	❌	✅	❌	✅	✅	✅	5
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data	✅	✅	✅	❌	✅	❌	✅	5
Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness	✅	❌	✅	❌	✅	✅	✅	5
Fine-Grained Captioning of Long Videos through Scene Graph Consolidation	✅	❌	✅	✅	✅	✅	✅	6
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games	✅	❌	❌	❌	❌	❌	✅	2
Finite-Time Analysis of Discrete-Time Stochastic Interpolants	❌	❌	✅	❌	❌	❌	✅	2
Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents	✅	✅	✅	❌	❌	❌	✅	4
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing	✅	❌	✅	✅	✅	❌	✅	5
FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain	✅	✅	✅	❌	❌	❌	❌	3
Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator	❌	❌	✅	✅	✅	❌	✅	4
Fixed-Confidence Multiple Change Point Identification under Bandit Feedback	✅	❌	❌	❌	❌	❌	✅	2
Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function	❌	✅	✅	✅	✅	❌	✅	5
Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification	✅	❌	❌	❌	❌	❌	✅	2
FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials	✅	✅	✅	❌	✅	✅	✅	6
Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape	❌	✅	✅	✅	✅	❌	✅	5
FlatQuant: Flatness Matters for LLM Quantization	❌	✅	✅	✅	✅	❌	✅	5
Fleet of Agents: Coordinated Problem Solving with Large Language Models	✅	✅	✅	✅	❌	❌	✅	5
Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation	❌	❌	✅	❌	✅	❌	✅	3
FlexControl: Computation-Aware Conditional Control with Differentiable Router for Text-to-Image Generation	✅	❌	✅	✅	✅	❌	✅	5
FlexTok: Resampling Images into 1D Token Sequences of Flexible Length	❌	❌	✅	✅	✅	❌	✅	4
FlexiClip: Locality-Preserving Free-Form Character Animation	❌	❌	✅	❌	✅	❌	✅	3
FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification	❌	❌	✅	✅	✅	❌	✅	4
Flexibility-conditioned protein structure design with flow matching	❌	✅	✅	✅	✅	✅	✅	6
Flexible Tails for Normalizing Flows	✅	✅	✅	✅	❌	❌	✅	5
Flexible and Efficient Grammar-Constrained Decoding	✅	❌	✅	❌	❌	❌	❌	2
Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning	✅	✅	✅	✅	✅	✅	✅	7
FlipAttack: Jailbreak LLMs via Flipping	❌	✅	✅	❌	✅	❌	✅	4
FloE: On-the-Fly MoE Inference on Memory-constrained GPU	✅	❌	✅	❌	✅	❌	✅	4
Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions	❌	❌	❌	❌	❌	❌	❌	0
Flopping for FLOPs: Leveraging Equivariance for Computational Efficiency	❌	✅	✅	✅	✅	✅	✅	6
Flow Matching for Denoised Social Recommendation	✅	❌	✅	✅	✅	❌	✅	5
Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics	✅	❌	✅	✅	✅	❌	✅	5
Flow Q-Learning	✅	✅	✅	❌	✅	❌	✅	5
Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples	✅	✅	✅	✅	✅	❌	✅	6
Flow-based Domain Randomization for Learning and Sequencing Robotic Skills	✅	✅	❌	❌	❌	❌	✅	3
Flow-field inference from neural data using deep recurrent networks	❌	✅	✅	✅	❌	❌	✅	4
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options	❌	✅	✅	✅	❌	❌	✅	4
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching	❌	✅	✅	❌	❌	❌	✅	3
FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields	✅	❌	✅	❌	❌	✅	✅	4
Flowing Datasets with Wasserstein over Wasserstein Gradient Flows	❌	✅	✅	✅	✅	❌	✅	5
Fluctuations of the largest eigenvalues of transformed spiked Wigner matrices	❌	❌	❌	❌	❌	❌	✅	1
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification	✅	❌	✅	✅	✅	❌	✅	5
Focus On This, Not That! Steering LLMs with Adaptive Feature Specification	✅	✅	✅	✅	❌	❌	✅	5
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning	✅	❌	✅	✅	✅	❌	✅	5
Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection	❌	✅	✅	✅	❌	❌	✅	4
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages	❌	✅	✅	✅	❌	❌	✅	4
Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization	✅	✅	✅	❌	✅	❌	✅	5
FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining	❌	❌	✅	✅	✅	❌	✅	4
Fragments to Facts: Partial-Information Fragment Inference from LLMs	✅	✅	✅	✅	❌	❌	✅	5
FrameBridge: Improving Image-to-Video Generation with Bridge Models	✅	❌	✅	✅	❌	❌	✅	4
Fraud-Proof Revenue Division on Subscription Platforms	❌	✅	✅	❌	❌	❌	✅	3
Free Process Rewards without Process Labels	❌	❌	✅	✅	✅	❌	✅	4
FreeMesh: Boosting Mesh Generation with Coordinates Merging	✅	❌	✅	❌	✅	❌	✅	4
Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM	❌	❌	✅	❌	❌	❌	✅	2
From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models	❌	❌	✅	✅	❌	❌	✅	3
From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning	✅	✅	✅	❌	❌	❌	✅	4
From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline	❌	✅	✅	❌	❌	✅	✅	4
From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium	✅	✅	✅	✅	❌	❌	✅	5
From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models	❌	✅	✅	✅	❌	❌	✅	4
From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms	✅	✅	✅	✅	❌	❌	✅	5
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set	✅	❌	✅	✅	❌	❌	✅	4
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning	✅	✅	✅	✅	❌	❌	✅	5
From Language Models over Tokens to Language Models over Characters	✅	✅	✅	❌	✅	❌	✅	5
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection	✅	✅	✅	✅	✅	❌	✅	6
From Logits to Hierarchies: Hierarchical Clustering made Simple	✅	✅	✅	✅	❌	❌	✅	5
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications	✅	✅	✅	✅	✅	❌	✅	6
From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models	❌	✅	✅	✅	❌	❌	✅	4
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?	❌	✅	✅	✅	❌	❌	✅	4
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection	❌	✅	✅	✅	❌	❌	✅	4
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering	✅	❌	✅	❌	❌	❌	✅	3
From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers	❌	✅	✅	✅	✅	❌	✅	5
From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs	❌	❌	✅	✅	✅	❌	✅	4
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining	❌	✅	✅	✅	✅	❌	✅	5
From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control	✅	✅	❌	✅	✅	❌	✅	5
From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control	❌	✅	✅	✅	✅	❌	✅	5
Fully Dynamic Embedding into $\ell_p$ Spaces	✅	❌	❌	❌	❌	❌	❌	1
Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time	✅	✅	✅	❌	✅	❌	✅	5
Fully Heteroscedastic Count Regression with Deep Double Poisson Networks	❌	✅	✅	✅	✅	❌	✅	5
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch	✅	❌	✅	✅	❌	❌	✅	4
Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces	✅	❌	✅	✅	❌	❌	✅	4
Function-Space Learning Rates	✅	✅	✅	❌	❌	❌	✅	4
Function-to-Style Guidance of LLMs for Code Translation	❌	❌	✅	❌	✅	❌	✅	3
Functional Alignment Can Mislead: Examining Model Stitching	✅	✅	✅	✅	❌	❌	✅	5
Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton	❌	❌	✅	❌	❌	❌	✅	2
Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities	✅	❌	❌	❌	❌	❌	❌	1
Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds	✅	✅	✅	❌	✅	❌	✅	5
FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks	✅	✅	✅	✅	✅	❌	✅	6
Fusing Reward and Dueling Feedback in Stochastic Bandits	✅	❌	❌	❌	❌	❌	✅	2
G-Adaptivity: optimised graph-based mesh relocation for finite element methods	❌	✅	✅	✅	❌	✅	✅	5
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks	✅	✅	✅	✅	❌	✅	✅	6
G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration	✅	✅	❌	✅	✅	❌	✅	5
GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model	❌	✅	✅	✅	✅	✅	✅	6
GCAL: Adapting Graph Models to Evolving Domain Shifts	❌	✅	✅	✅	❌	❌	✅	4
GEFA: A General Feature Attribution Framework Using Proxy Gradient Estimation	✅	✅	✅	✅	✅	✅	✅	7
GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention	✅	✅	✅	✅	✅	✅	✅	7
GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation	✅	✅	✅	❌	❌	❌	✅	4
GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras	❌	✅	❌	❌	❌	❌	✅	2
GMAIL: Generative Modality Alignment for generated Image Learning	✅	❌	✅	✅	✅	❌	✅	5
GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning	✅	❌	✅	✅	❌	❌	✅	4
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration	✅	✅	✅	✅	✅	✅	✅	7
GRADEO: Towards Human-Like Evaluation for Text-to-Video Generation via Multi-Step Reasoning	❌	❌	✅	✅	✅	❌	✅	4
GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code	✅	✅	✅	✅	✅	❌	✅	6
GRAM: A Generative Foundation Reward Model for Reward Generalization	❌	✅	✅	✅	✅	❌	✅	5
GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs	✅	✅	✅	✅	✅	✅	✅	7
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models	❌	✅	✅	❌	✅	❌	✅	4
GSM-$∞$: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length?	✅	✅	✅	✅	❌	❌	✅	5
GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning	✅	✅	✅	✅	✅	✅	✅	7
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities	❌	✅	✅	✅	✅	❌	✅	5
Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition	✅	✅	✅	✅	❌	❌	✅	5
Gandalf the Red: Adaptive Security for LLMs	✅	✅	✅	❌	❌	❌	✅	4
Gap-Dependent Bounds for Federated $Q$-Learning	✅	✅	❌	❌	✅	❌	❌	3
GaussMark: A Practical Approach for Structural Watermarking of Language Models	✅	❌	✅	✅	✅	❌	✅	5
GaussMarker: Robust Dual-Domain Watermark for Diffusion Models	❌	❌	✅	✅	✅	❌	✅	4
Gaussian Mixture Flow Matching Models	✅	✅	✅	✅	✅	❌	✅	6
GenMol: A Drug Discovery Generalist with Discrete Diffusion	✅	❌	✅	✅	✅	❌	✅	5
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder	❌	✅	✅	✅	✅	❌	✅	5
General agents need world models	✅	❌	❌	❌	❌	❌	✅	2
General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization	✅	❌	❌	❌	❌	❌	❌	1
Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks	✅	❌	✅	❌	✅	❌	✅	4
Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning	✅	❌	✅	✅	❌	❌	✅	4
Generalization Analysis for Controllable Learning	❌	❌	❌	❌	❌	❌	❌	0
Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings	❌	❌	✅	❌	❌	❌	❌	1
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks	✅	✅	✅	✅	✅	❌	✅	6
Generalization Performance of Ensemble Clustering: From Theory to Algorithm	✅	✅	✅	❌	❌	❌	✅	4
Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Generalization and Robustness of the Tilted Empirical Risk	❌	❌	❌	❌	❌	❌	✅	1
Generalization in Federated Learning: A Conditional Mutual Information Framework	❌	❌	✅	✅	✅	❌	✅	4
Generalization of noisy SGD in unbounded non-convex settings	❌	❌	❌	❌	❌	❌	❌	0
Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization	❌	✅	✅	✅	✅	❌	✅	5
Generalized Interpolating Discrete Diffusion	✅	✅	✅	✅	✅	❌	✅	6
Generalized Random Forests Using Fixed-Point Trees	✅	✅	✅	✅	❌	✅	✅	6
Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level	✅	❌	✅	✅	❌	❌	✅	4
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction	✅	✅	✅	✅	❌	❌	❌	4
Generalized additive models via direct optimization of regularized decision stump forests	✅	❌	✅	✅	✅	✅	✅	6
Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments	❌	✅	✅	✅	✅	✅	✅	6
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?	✅	✅	✅	❌	❌	❌	✅	4
Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series	❌	✅	✅	✅	✅	❌	✅	5
Generation from Noisy Examples	✅	❌	❌	❌	❌	❌	❌	1
Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction	❌	❌	✅	❌	✅	❌	✅	3
Generative Data Mining with Longtail-Guided Diffusion	✅	❌	✅	✅	✅	✅	✅	6
Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion	✅	❌	✅	✅	✅	❌	✅	5
Generative Intervention Models for Causal Perturbation Modeling	❌	✅	✅	✅	❌	❌	✅	4
Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning	✅	✅	✅	✅	✅	❌	✅	6
Generative Point Cloud Registration	❌	✅	✅	✅	✅	❌	✅	5
Generative Social Choice: The Next Generation	✅	✅	✅	❌	✅	✅	✅	6
GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing	❌	✅	✅	✅	✅	❌	✅	5
Geometric Algebra Planes: Convex Implicit Neural Volumes	❌	✅	✅	✅	❌	❌	✅	4
Geometric Contact Flows: Contactomorphisms for Dynamics and Control	✅	✅	✅	❌	✅	❌	✅	5
Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning	❌	✅	✅	✅	✅	❌	✅	5
Geometric Generative Modeling with Noise-Conditioned Graph Networks	✅	✅	✅	✅	❌	❌	✅	5
Geometric Hyena Networks for Large-scale Equivariant Learning	✅	❌	✅	✅	✅	✅	✅	6
Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data	✅	✅	✅	❌	✅	❌	✅	5
Geometric Representation Condition Improves Equivariant Molecule Generation	✅	✅	✅	✅	✅	❌	✅	6
Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems	✅	✅	❌	❌	✅	✅	✅	5
Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates	❌	✅	✅	✅	✅	❌	✅	5
Geometry Informed Tokenization of Molecules for Language Model Generation	❌	✅	✅	✅	✅	❌	✅	5
Geometry-Informed Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
Global Context-aware Representation Learning for Spatially Resolved Transcriptomics	✅	✅	✅	❌	✅	✅	✅	6
Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $μ$ Parametrization	✅	❌	✅	❌	❌	❌	✅	3
Global Optimization with a Power-Transformed Objective and Gaussian Smoothing	✅	✅	✅	✅	❌	❌	✅	5
Global curvature for second-order optimization of neural networks	✅	✅	❌	✅	❌	❌	✅	4
Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables	✅	✅	✅	❌	✅	❌	✅	5
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction	✅	❌	✅	✅	❌	❌	✅	4
Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning	✅	❌	✅	✅	✅	✅	✅	6
Going Deeper into Locally Differentially Private Graph Neural Networks	✅	❌	✅	✅	❌	❌	✅	4
GradPS: Resolving Futile Neurons in Parameter Sharing Network for Multi-Agent Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Gradient Aligned Regression via Pairwise Losses	✅	✅	✅	✅	✅	❌	✅	6
Gradient Boosting Reinforcement Learning	❌	✅	✅	❌	✅	✅	✅	5
Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes	❌	❌	❌	❌	❌	❌	✅	1
Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs	❌	❌	❌	❌	❌	❌	✅	1
Gradient Inversion of Multimodal Models	✅	❌	✅	❌	❌	❌	✅	3
Gradient-based Explanations for Deep Learning Survival Models	❌	✅	✅	✅	✅	✅	✅	6
Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning	❌	✅	✅	❌	❌	❌	✅	3
Grammar-Forced Translation of Natural Language to Temporal Logic using LLMs	✅	❌	✅	❌	✅	❌	✅	4
Graph Adaptive Autoregressive Moving Average Models	❌	✅	✅	✅	✅	❌	✅	5
Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models	❌	✅	✅	✅	✅	❌	✅	5
Graph Diffusion for Robust Multi-Agent Coordination	✅	❌	✅	❌	✅	❌	✅	4
Graph Generative Pre-trained Transformer	✅	✅	✅	✅	✅	❌	✅	6
Graph Inverse Style Transfer for Counterfactual Explainability	✅	✅	✅	✅	✅	❌	✅	6
Graph Minimum Factorization Distance and Its Application to Large-Scale Graph Data Clustering	✅	✅	✅	✅	✅	❌	✅	6
Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation	✅	✅	✅	✅	✅	❌	✅	6
Graph World Model	❌	✅	✅	✅	✅	❌	✅	5
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Graph-Based Algorithms for Diverse Similarity Search	✅	✅	✅	✅	✅	❌	✅	6
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization	❌	✅	✅	✅	✅	❌	✅	5
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Graph4MM: Weaving Multimodal Learning with Structural Information	❌	✅	✅	✅	✅	❌	✅	5
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation	❌	✅	✅	✅	✅	❌	✅	5
GraphGPT: Generative Pre-trained Graph Eulerian Transformer	❌	✅	✅	✅	✅	❌	✅	5
Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents	❌	✅	✅	❌	❌	❌	✅	3
Great Models Think Alike and this Undermines AI Oversight	❌	❌	✅	✅	❌	❌	✅	3
Gridded Transformer Neural Processes for Spatio-Temporal Data	❌	✅	✅	✅	✅	❌	✅	5
Griffin: Towards a Graph-Centric Relational Database Foundation Model	❌	✅	✅	✅	✅	❌	✅	5
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers	❌	✅	✅	✅	✅	❌	✅	5
Grokking Beyond the Euclidean Norm of Model Parameters	❌	✅	✅	✅	❌	❌	✅	4
Grokking at the Edge of Linear Separability	❌	❌	❌	✅	❌	❌	✅	2
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers	✅	❌	✅	❌	✅	❌	✅	4
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery	✅	✅	✅	❌	✅	✅	✅	6
GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning	❌	❌	✅	❌	❌	❌	✅	2
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics	❌	✅	✅	✅	✅	❌	✅	5
Guided Search Strategies in Non-Serializable Environments with Applications to Software Engineering Agents	✅	❌	✅	❌	❌	❌	✅	3
Guided Structural Inference: Leveraging Priors with Soft Gating Mechanisms	✅	✅	✅	✅	✅	❌	✅	6
Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions	✅	❌	✅	✅	✅	✅	✅	6
GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance	✅	✅	✅	✅	✅	✅	✅	7
Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding	❌	✅	✅	❌	✅	❌	✅	4
H-Tuning: Toward Low-Cost and Efficient ECG-based Cardiovascular Disease Detection with Pre-Trained Models	✅	✅	✅	✅	✅	❌	✅	6
HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training	✅	✅	✅	✅	✅	❌	✅	6
HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs	✅	✅	❌	✅	✅	❌	✅	5
HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport	❌	❌	✅	❌	✅	❌	✅	3
HPS: Hard Preference Sampling for Human Preference Alignment	❌	✅	✅	❌	✅	❌	✅	4
HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Habitizing Diffusion Planning for Efficient and Effective Decision Making	❌	✅	✅	✅	✅	❌	✅	5
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin	✅	✅	✅	✅	❌	❌	✅	5
HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding	✅	✅	✅	✅	✅	❌	✅	6
Hardware and Software Platform Inference	❌	✅	✅	✅	✅	❌	✅	5
HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration	✅	✅	✅	❌	✅	❌	✅	5
Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres	✅	❌	✅	✅	✅	❌	✅	5
Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference	✅	✅	✅	✅	✅	❌	✅	6
HashAttention: Semantic Sparsity for Faster Inference	❌	✅	✅	✅	✅	❌	✅	5
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
Heads up! Large Language Models Can Perform Tasks Without Your Instruction via Selective Attention Head Masking	❌	✅	✅	✅	✅	❌	✅	5
HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation	✅	✅	✅	❌	❌	❌	✅	4
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update	✅	❌	❌	❌	❌	❌	✅	2
Hessian Geometry of Latent Space in Generative Models	❌	✅	❌	✅	✅	❌	✅	4
HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion	❌	❌	✅	✅	✅	❌	✅	4
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources	✅	❌	❌	❌	❌	❌	✅	2
Heterogeneous Label Shift: Theory and Algorithm	✅	❌	✅	❌	❌	❌	✅	3
Heterogeneous Sufficient Dimension Reduction and Subspace Clustering	✅	✅	✅	✅	❌	❌	✅	5
Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees	✅	✅	✅	✅	❌	❌	✅	5
Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering	❌	✅	✅	✅	❌	❌	✅	4
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models	❌	❌	❌	❌	✅	✅	✅	3
Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series	✅	✅	✅	✅	✅	❌	✅	6
HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks	✅	❌	❌	❌	✅	✅	✅	4
Hidden No More: Attacking and Defending Private Third-Party LLM Inference	✅	✅	✅	✅	✅	❌	✅	6
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It	✅	❌	✅	✅	❌	❌	❌	3
Hierarchical Equivariant Policy via Frame Transfer	❌	✅	✅	✅	❌	❌	✅	4
Hierarchical Graph Tokenization for Molecule-Language Alignment	❌	✅	✅	✅	✅	✅	✅	6
Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots	❌	✅	✅	✅	✅	❌	✅	5
Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability	✅	✅	✅	❌	✅	❌	✅	5
Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification	❌	✅	✅	❌	❌	❌	✅	3
Hierarchical Refinement: Optimal Transport to Infinity and Beyond	✅	✅	✅	✅	✅	❌	✅	6
Hierarchical Reinforcement Learning with Targeted Causal Interventions	✅	✅	✅	❌	✅	❌	✅	5
Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals	✅	❌	✅	❌	❌	❌	✅	3
High Dynamic Range Novel View Synthesis with Single Exposure	❌	✅	❌	✅	❌	❌	✅	3
High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions	✅	❌	❌	❌	❌	❌	✅	2
High-Dimensional Prediction for Sequential Decision Making	✅	❌	❌	❌	❌	❌	❌	1
High-Dimensional Tensor Regression With Oracle Properties	✅	❌	✅	✅	❌	❌	✅	4
High-Fidelity Simultaneous Speech-To-Speech Translation	❌	✅	✅	✅	✅	❌	✅	5
Highly Compressed Tokenizer Can Generate Without Training	✅	✅	✅	✅	✅	❌	✅	6
History-Guided Video Diffusion	✅	❌	✅	✅	✅	❌	✅	5
Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space	❌	✅	✅	✅	✅	❌	✅	5
Homophily Enhanced Graph Domain Adaptation	✅	❌	✅	❌	✅	❌	✅	4
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained	❌	❌	✅	❌	✅	❌	✅	3
How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence	❌	✅	✅	✅	✅	❌	✅	5
How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective	❌	❌	✅	❌	✅	✅	✅	4
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
How Do Large Language Monkeys Get Their Power (Laws)?	✅	❌	✅	❌	❌	✅	✅	4
How Do Transformers Learn Variable Binding in Symbolic Programs?	❌	❌	❌	✅	❌	❌	✅	2
How Effective Can Dropout Be in Multiple Instance Learning ?	✅	✅	✅	✅	✅	✅	✅	7
How Expressive are Knowledge Graph Foundation Models?	✅	✅	✅	✅	✅	❌	✅	6
How Far Is Video Generation from World Model: A Physical Law Perspective	❌	❌	✅	✅	✅	❌	✅	4
How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees	✅	✅	✅	✅	✅	✅	✅	7
How Much Can We Forget about Data Contamination?	❌	✅	✅	✅	✅	❌	✅	5
How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias	✅	❌	❌	❌	✅	❌	✅	3
How Transformers Learn Structured Data: Insights From Hierarchical Filtering	❌	✅	✅	❌	❌	✅	✅	4
How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction	❌	❌	✅	❌	✅	❌	✅	3
How to Evaluate and Mitigate IP Infringement in Visual Generative AI?	✅	✅	✅	❌	❌	❌	✅	4
How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects	❌	✅	✅	✅	✅	❌	✅	5
How to Synthesize Text Data without Model Collapse?	✅	✅	✅	❌	✅	❌	✅	5
How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies	❌	✅	✅	❌	✅	❌	✅	4
How to set AdamW’s weight decay as you scale model and dataset size	❌	✅	✅	✅	✅	❌	✅	5
Human Body Restoration with One-Step Diffusion Model and A New Benchmark	❌	✅	✅	✅	✅	❌	✅	5
Human Cognition-Inspired Hierarchical Fuzzy Learning Machine	✅	❌	✅	✅	✅	❌	✅	5
Human-Aligned Image Models Improve Visual Decoding from the Brain	❌	✅	✅	✅	❌	❌	✅	4
Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning	✅	✅	✅	❌	❌	❌	✅	4
Hybrid Quantum-Classical Multi-Agent Pathfinding	✅	❌	✅	✅	✅	✅	✅	6
Hybrid Spiking Vision Transformer for Object Detection with Event Cameras	❌	❌	✅	❌	✅	❌	✅	3
HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder	❌	✅	✅	✅	✅	✅	✅	6
Hyper-Transforming Latent Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting	❌	✅	✅	✅	✅	✅	✅	6
HyperIV: Real-time Implied Volatility Smoothing	✅	✅	❌	✅	✅	❌	✅	5
HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking	✅	❌	✅	✅	❌	✅	✅	5
Hyperband-based Bayesian Optimization for Black-box Prompt Selection	✅	❌	✅	✅	❌	❌	✅	4
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations	❌	✅	✅	✅	✅	❌	✅	5
Hyperspherical Normalization for Scalable Deep Reinforcement Learning	✅	✅	✅	✅	❌	❌	✅	5
Hypo3D: Exploring Hypothetical Reasoning in 3D	❌	✅	✅	❌	❌	❌	✅	3
Hypothesis Testing for Generalized Thurstone Models	❌	❌	✅	✅	❌	❌	✅	3
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck	❌	✅	✅	❌	❌	❌	✅	3
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks	❌	❌	✅	❌	❌	❌	✅	2
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic	✅	✅	✅	✅	❌	❌	✅	5
IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling	❌	❌	✅	✅	✅	❌	✅	4
IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction	❌	✅	✅	✅	✅	❌	✅	5
INRFlow: Flow Matching for INRs in Ambient Space	❌	❌	✅	❌	❌	❌	✅	2
IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models	❌	❌	✅	✅	✅	❌	✅	4
IT$^3$: Idempotent Test-Time Training	❌	✅	✅	❌	❌	❌	✅	3
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks	❌	✅	✅	❌	✅	✅	✅	5
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset	❌	✅	✅	✅	✅	❌	✅	5
Identifiable Object Representations under Spatial Ambiguities	✅	❌	✅	❌	✅	❌	✅	4
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations	✅	❌	✅	❌	❌	❌	✅	3
Identifying Causal Direction via Variational Bayesian Compression	✅	❌	✅	❌	✅	❌	✅	4
Identifying Metric Structures of Deep Latent Variable Models	❌	✅	✅	❌	❌	❌	✅	3
Identifying Neural Dynamics Using Interventional State Space Models	❌	✅	✅	✅	❌	❌	✅	4
Identifying and Understanding Cross-Class Features in Adversarial Training	✅	✅	✅	✅	❌	❌	✅	5
Identifying biological perturbation targets through causal differential networks	❌	✅	✅	✅	✅	❌	✅	5
Idiosyncrasies in Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
Imagine While Reasoning in Space: Multimodal Visualization-of-Thought	❌	❌	❌	✅	✅	✅	✅	4
Imitation Learning from a Single Temporally Misaligned Video	✅	❌	✅	✅	❌	❌	✅	4
Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks	❌	❌	❌	❌	❌	❌	❌	0
Implicit Language Models are RNNs: Balancing Parallelization and Expressivity	❌	✅	✅	✅	✅	❌	✅	5
Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent	❌	✅	❌	❌	✅	✅	✅	4
Implicit Riemannian Optimism with Applications to Min-Max Problems	✅	❌	❌	❌	❌	❌	✅	2
Implicit Subgraph Neural Network	✅	✅	✅	❌	✅	❌	✅	5
Implicit degree bias in the link prediction task	✅	✅	✅	✅	❌	✅	✅	6
Importance Corrected Neural JKO Sampling	✅	✅	✅	❌	✅	❌	✅	5
Importance Sampling for Nonlinear Models	❌	✅	✅	❌	❌	❌	✅	3
Impossible Videos	❌	❌	✅	✅	❌	❌	✅	3
Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation	✅	✅	✅	✅	✅	❌	✅	6
Improved Approximations for Hard Graph Problems using Predictions	✅	❌	✅	❌	✅	✅	✅	5
Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions	✅	✅	✅	✅	❌	❌	✅	5
Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme	❌	❌	❌	❌	❌	❌	❌	0
Improved Expressivity of Hypergraph Neural Networks through High-Dimensional Generalized Weisfeiler-Leman Algorithms	✅	✅	✅	✅	✅	❌	✅	6
Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization	✅	❌	❌	❌	❌	❌	❌	1
Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves	✅	✅	✅	✅	✅	❌	✅	6
Improved Lower Bounds for First-order Stochastic Non-convex Optimization under Markov Sampling	✅	❌	❌	❌	❌	❌	❌	1
Improved Off-policy Reinforcement Learning in Biological Sequence Design	✅	✅	✅	✅	❌	❌	✅	5
Improved Online Confidence Bounds for Multinomial Logistic Bandits	✅	❌	❌	❌	❌	❌	✅	2
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance	✅	❌	❌	❌	❌	❌	❌	1
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization	✅	❌	❌	❌	❌	❌	❌	1
Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint	✅	✅	✅	❌	❌	❌	❌	3
Improved and Oracle-Efficient Online $\ell_1$-Multicalibration	✅	❌	❌	❌	❌	❌	❌	1
Improving Compositional Generation with Diffusion Models Using Lift Scores	✅	✅	✅	✅	❌	❌	✅	5
Improving Consistency Models with Generator-Augmented Flows	✅	✅	✅	✅	✅	❌	✅	6
Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers	❌	✅	✅	✅	❌	❌	✅	4
Improving Diversity in Language Models: When Temperature Fails, Change the Loss	✅	❌	✅	✅	✅	❌	✅	5
Improving Flow Matching by Aligning Flow Divergence	❌	✅	✅	✅	✅	❌	✅	5
Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging	✅	✅	✅	❌	❌	❌	✅	4
Improving Generalization with Flat Hilbert Bayesian Inference	✅	❌	✅	✅	✅	❌	✅	5
Improving LLM Safety Alignment with Dual-Objective Optimization	❌	✅	✅	✅	✅	❌	✅	5
Improving LLM Video Understanding with 16 Frames Per Second	❌	✅	✅	✅	✅	❌	✅	5
Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens	❌	✅	✅	✅	✅	❌	✅	5
Improving Memory Efficiency for Training KANs via Meta Learning	✅	✅	✅	✅	❌	❌	✅	5
Improving Model Alignment Through Collective Intelligence of Open-Source Models	❌	❌	✅	✅	✅	❌	✅	4
Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques	✅	❌	✅	✅	❌	❌	✅	4
Improving Multimodal Learning Balance and Sufficiency through Data Remixing	✅	❌	✅	✅	✅	❌	✅	5
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration	✅	✅	✅	✅	✅	❌	❌	5
Improving Out-of-Distribution Detection with Markov Logic Networks	✅	✅	✅	✅	✅	❌	✅	6
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces	✅	❌	✅	❌	✅	❌	✅	4
Improving Rationality in the Reasoning Process of Language Models through Self-playing Game	✅	✅	✅	✅	❌	❌	✅	5
Improving Reward Model Generalization from Adversarial Process Enhanced Preferences	✅	✅	✅	❌	✅	❌	✅	5
Improving Soft Unification with Knowledge Graph Embedding Methods	✅	❌	✅	✅	✅	❌	✅	5
Improving Transformer World Models for Data-Efficient RL	✅	❌	✅	✅	✅	✅	✅	6
Improving Value Estimation Critically Enhances Vanilla Policy Gradient	❌	✅	✅	❌	❌	❌	✅	3
Improving Your Model Ranking on Chatbot Arena by Vote Rigging	✅	✅	✅	✅	✅	❌	✅	6
Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices	❌	❌	✅	✅	✅	❌	✅	4
Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Improving the Diffusability of Autoencoders	❌	✅	✅	✅	✅	❌	✅	5
Improving the Effective Receptive Field of Message-Passing Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Improving the Scaling Laws of Synthetic Data with Deliberate Practice	✅	❌	✅	✅	❌	❌	✅	4
Improving the Statistical Efficiency of Cross-Conformal Prediction	❌	✅	✅	✅	❌	❌	✅	4
Improving the Variance of Differentially Private Randomized Experiments through Clustering	✅	❌	✅	❌	❌	❌	✅	3
In-Context Adaptation to Concept Drift for Learned Database Operations	✅	✅	✅	✅	✅	✅	✅	7
In-Context Deep Learning via Transformer Models	❌	❌	❌	✅	✅	❌	✅	3
In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval	❌	✅	❌	❌	❌	❌	✅	2
In-Context Fine-Tuning for Time-Series Foundation Models	❌	❌	✅	✅	✅	❌	✅	4
In-Context Learning and Occam’s Razor	❌	✅	❌	✅	✅	❌	✅	4
In-Context Learning as Conditioned Associative Memory Retrieval	❌	❌	✅	✅	✅	❌	✅	4
In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention	❌	✅	❌	❌	✅	❌	✅	3
In-Context Reinforcement Learning From Suboptimal Historical Data	✅	❌	❌	✅	✅	❌	✅	4
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games	✅	❌	❌	❌	❌	❌	❌	1
Incorporating Arbitrary Matrix Group Equivariance into KANs	❌	✅	✅	✅	✅	❌	✅	5
Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems	✅	❌	✅	❌	❌	❌	✅	3
Independence Tests for Language Models	✅	✅	✅	❌	❌	❌	✅	4
Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations	✅	✅	✅	❌	❌	❌	✅	4
Inductive Moment Matching	✅	❌	✅	✅	❌	❌	✅	4
InfAlign: Inference-aware language model alignment	✅	❌	✅	✅	❌	❌	✅	4
Inference-Time Alignment of Diffusion Models with Direct Noise Optimization	✅	❌	❌	❌	✅	❌	✅	3
Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models	✅	✅	✅	❌	❌	✅	✅	5
Info-Coevolution: An Efficient Framework for Data Model Coevolution	❌	✅	✅	✅	✅	❌	✅	5
InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory	❌	✅	✅	✅	✅	✅	✅	6
InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective	✅	✅	✅	✅	❌	❌	✅	5
InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference	❌	❌	✅	✅	❌	❌	✅	3
Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting	✅	✅	✅	✅	✅	✅	✅	7
Instance Correlation Graph-based Naive Bayes	✅	✅	✅	✅	❌	❌	✅	5
Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms	✅	❌	❌	❌	✅	✅	✅	4
Instruct2See: Learning to Remove Any Obstructions Across Distributions	✅	✅	✅	✅	✅	✅	✅	7
Instruction-Following Pruning for Large Language Models	❌	❌	✅	❌	✅	✅	✅	4
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Integer Programming for Generalized Causal Bootstrap Designs	✅	❌	✅	✅	❌	❌	✅	4
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
Integration-free Kernels for Equivariant Gaussian Process Modelling	❌	✅	✅	✅	✅	✅	✅	6
Interaction-Aware Gaussian Weighting for Clustered Federated Learning	✅	✅	✅	✅	❌	❌	✅	5
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence	❌	✅	✅	✅	✅	✅	✅	6
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors	❌	✅	✅	✅	❌	❌	✅	4
Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems	✅	✅	❌	❌	✅	❌	✅	4
Interpreting CLIP with Hierarchical Sparse Autoencoders	❌	✅	✅	✅	✅	❌	✅	5
Interpreting the Repeated Token Phenomenon in Large Language Models	✅	✅	✅	❌	❌	❌	❌	3
Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces	✅	❌	❌	❌	❌	❌	✅	2
Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion	✅	❌	✅	✅	✅	❌	✅	5
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning	❌	✅	✅	✅	❌	❌	✅	4
Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency	❌	❌	✅	✅	✅	✅	✅	5
Inverse Bridge Matching Distillation	✅	✅	✅	✅	✅	❌	✅	6
Inverse Flow and Consistency Models	✅	✅	✅	✅	✅	✅	✅	7
Inverse Optimization via Learning Feasible Regions	✅	❌	✅	✅	❌	✅	✅	5
Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo	✅	❌	✅	✅	✅	❌	✅	5
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors	✅	✅	✅	✅	✅	❌	✅	6
Inverse problems with experiment-guided AlphaFold	✅	❌	✅	❌	✅	❌	✅	4
Investigating Non-Transitivity in LLM-as-a-Judge	✅	✅	✅	❌	❌	❌	✅	4
Investigating the Overlooked Hessian Structure: From CNNs to LLMs	❌	❌	✅	❌	✅	❌	✅	3
Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment	✅	❌	✅	✅	❌	❌	✅	4
Is Complex Query Answering Really Complex?	❌	✅	✅	✅	❌	❌	✅	4
Is Noise Conditioning Necessary for Denoising Generative Models?	❌	❌	✅	✅	✅	❌	✅	4
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs	❌	❌	✅	❌	❌	❌	✅	2
Isolated Causal Effects of Natural Language	❌	✅	✅	✅	❌	✅	✅	5
Iterative Vectors: In-Context Gradient Steering without Backpropagation	✅	✅	✅	✅	✅	❌	✅	6
It’s My Data Too: Private ML for Datasets with Multi-User Training Examples	✅	❌	✅	✅	❌	❌	✅	4
Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations	❌	✅	✅	✅	✅	❌	✅	5
Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning	✅	❌	✅	✅	✅	❌	✅	5
Joint Learning of Energy-based Models and their Partition Function	✅	❌	✅	✅	❌	❌	✅	4
Joint Localization and Activation Editing for Low-Resource Fine-Tuning	❌	✅	✅	✅	✅	❌	✅	5
Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization	✅	✅	✅	✅	❌	❌	✅	5
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient	❌	✅	✅	❌	✅	❌	✅	4
Joker: Joint Optimization Framework for Lightweight Kernel Machines	✅	✅	✅	✅	✅	❌	✅	6
Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning	✅	❌	✅	✅	✅	❌	✅	5
K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes	❌	✅	✅	✅	✅	✅	✅	6
KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems	❌	❌	✅	✅	✅	❌	✅	4
KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks	❌	✅	✅	✅	❌	❌	✅	4
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search	✅	✅	✅	✅	✅	❌	✅	6
KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies	✅	❌	✅	❌	❌	❌	✅	3
KGMark: A Diffusion Watermark for Knowledge Graphs	✅	❌	✅	❌	✅	❌	✅	4
KIND: Knowledge Integration and Diversion for Training Decomposable Models	✅	❌	✅	✅	❌	❌	✅	4
KV Shifting Attention Enhances Language Modeling	✅	✅	✅	✅	✅	❌	✅	6
KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference	❌	✅	✅	✅	❌	✅	✅	5
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage	✅	❌	✅	✅	❌	❌	✅	4
Kernel Quantile Embeddings and Associated Probability Metrics	✅	✅	✅	✅	❌	❌	✅	5
Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models	❌	✅	✅	✅	✅	❌	✅	5
KernelBench: Can LLMs Write Efficient GPU Kernels?	❌	✅	✅	✅	✅	✅	✅	6
KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors	❌	✅	✅	✅	✅	✅	✅	6
Kinetic Langevin Diffusion for Crystalline Materials Generation	✅	✅	✅	✅	✅	❌	✅	6
Knowledge Retention in Continual Model-Based Reinforcement Learning	✅	✅	✅	✅	❌	❌	✅	5
Knowledge Swapping via Learning and Unlearning	❌	✅	✅	✅	✅	✅	✅	6
Knowledge-Guided Wasserstein Distributionally Robust Optimization	❌	❌	✅	✅	❌	❌	✅	3
KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis	✅	✅	✅	✅	✅	❌	✅	6
Kona: An Efficient Privacy-Preservation Framework for KNN Classification by Communication Optimization	✅	✅	✅	✅	✅	❌	✅	6
KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling	✅	❌	✅	❌	❌	❌	✅	3
L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation	❌	✅	✅	❌	❌	❌	✅	3
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning	✅	✅	✅	❌	❌	❌	✅	4
LADA: Scalable Label-Specific CLIP Adapter for Continual Learning	❌	✅	✅	✅	✅	❌	✅	5
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models	❌	✅	✅	❌	✅	✅	✅	5
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence	✅	❌	✅	❌	✅	❌	❌	3
LASER: Attention with Exponential Transformation	✅	❌	✅	✅	✅	❌	✅	5
LAST SToP for Modeling Asynchronous Time Series	❌	✅	✅	✅	❌	❌	✅	4
LAuReL: Learned Augmented Residual Layer	❌	❌	✅	❌	✅	❌	✅	3
LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation	✅	❌	✅	✅	✅	❌	✅	5
LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models	✅	✅	✅	✅	✅	❌	✅	6
LEAPS: A discrete neural sampler via locally equivariant networks	✅	✅	✅	❌	❌	❌	✅	4
LEMoN: Label Error Detection using Multimodal Neighbors	✅	✅	✅	✅	✅	❌	✅	6
LETS Forecast: Learning Embedology for Time Series Forecasting	❌	✅	✅	✅	❌	❌	✅	4
LEVIS: Large Exact Verifiable Input Spaces for Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
LGDM: Latent Guidance in Diffusion Models for Perceptual Evaluations	✅	❌	✅	✅	✅	✅	✅	6
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning	✅	✅	✅	✅	❌	❌	✅	5
LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning	✅	❌	✅	✅	❌	❌	✅	4
LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces	✅	❌	✅	✅	✅	❌	✅	5
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective	✅	❌	✅	✅	❌	❌	✅	4
LLM Data Selection and Utilization via Dynamic Bi-level Optimization	❌	❌	✅	✅	❌	❌	✅	3
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification	❌	✅	✅	✅	✅	❌	✅	5
LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination	❌	✅	✅	❌	❌	❌	✅	3
LLM-Augmented Chemical Synthesis and Design Decision Programs	✅	✅	✅	❌	❌	❌	✅	4
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
LLMScan: Causal Scan for LLM Misbehavior Detection	❌	✅	✅	✅	✅	❌	✅	5
LLMs Can Reason Faster Only If We Let Them	❌	❌	✅	✅	✅	❌	✅	4
LLMs can see and hear without any training	❌	✅	✅	✅	❌	❌	✅	4
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws	❌	❌	✅	❌	❌	❌	✅	2
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification	❌	✅	✅	✅	✅	❌	✅	5
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations	✅	✅	✅	✅	❌	✅	✅	6
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models	❌	✅	✅	✅	❌	✅	✅	5
LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data	❌	✅	✅	✅	✅	❌	✅	5
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D	❌	✅	✅	✅	✅	❌	✅	5
LOGO — Long cOntext aliGnment via efficient preference Optimization	❌	❌	✅	❌	✅	❌	✅	3
LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers	❌	❌	✅	✅	✅	❌	✅	4
LSCD: Lomb–Scargle Conditioned Diffusion for Time series Imputation	✅	✅	✅	✅	✅	❌	✅	6
LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse Activation	✅	❌	✅	✅	✅	❌	✅	5
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation	❌	✅	✅	✅	✅	✅	✅	6
LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing	❌	✅	✅	✅	❌	❌	✅	4
Label Distribution Propagation-based Label Completion for Crowdsourcing	✅	✅	✅	❌	❌	❌	✅	4
Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping	✅	❌	✅	❌	✅	❌	✅	4
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation	✅	✅	✅	✅	✅	❌	✅	6
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization	✅	✅	✅	✅	✅	❌	✅	6
Language Models May Verbatim Complete Text They Were Not Explicitly Trained On	✅	❌	✅	✅	✅	✅	✅	6
Language Models as Implicit Tree Search	✅	❌	✅	✅	❌	❌	✅	4
Language Models over Canonical Byte-Pair Encodings	✅	✅	✅	✅	❌	❌	✅	5
LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection	✅	✅	✅	✅	❌	❌	✅	5
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups	✅	✅	✅	✅	❌	❌	✅	5
Large Continual Instruction Assistant	✅	✅	✅	❌	❌	❌	✅	4
Large Displacement Motion Transfer with Unsupervised Anytime Interpolation	❌	❌	✅	❌	✅	❌	✅	3
Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems	✅	✅	✅	✅	❌	✅	✅	6
Large Language Models are Demonstration Pre-Selectors for Themselves	✅	❌	✅	✅	✅	❌	✅	5
Large Language Models to Diffusion Finetuning	✅	✅	✅	✅	❌	❌	✅	5
Large Language-Geometry Model: When LLM meets Equivariance	❌	❌	✅	✅	✅	❌	✅	4
Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?	✅	✅	✅	✅	❌	❌	✅	5
Latent Action Learning Requires Supervision in the Presence of Distractors	❌	✅	✅	✅	✅	❌	✅	5
Latent Diffusion Planning for Imitation Learning	✅	✅	✅	✅	❌	❌	✅	5
Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing	❌	✅	✅	✅	✅	❌	✅	5
Latent Mamba Operator for Partial Differential Equations	✅	✅	✅	✅	✅	❌	✅	6
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes	❌	❌	✅	✅	❌	❌	✅	3
Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data	✅	✅	✅	✅	❌	❌	✅	5
Latent Thought Models with Variational Bayes Inference-Time Computation	✅	❌	✅	✅	✅	❌	✅	5
Latent Variable Causal Discovery under Selection Bias	❌	✅	✅	❌	✅	❌	✅	4
Latent Variable Estimation in Bayesian Black-Litterman Models	❌	❌	✅	✅	❌	❌	✅	3
Layer by Layer: Uncovering Hidden Representations in Language Models	❌	✅	✅	❌	❌	❌	❌	2
Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models	✅	❌	✅	✅	✅	❌	✅	5
Layer-wise Quantization for Quantized Optimistic Dual Averaging	✅	✅	✅	❌	✅	❌	✅	5
Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees	✅	✅	✅	❌	✅	❌	✅	5
Learn Beneficial Noise as Graph Augmentation	✅	❌	✅	✅	✅	❌	✅	5
Learn Singularly Perturbed Solutions via Homotopy Dynamics	✅	❌	❌	❌	✅	✅	✅	4
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning	✅	❌	✅	✅	✅	❌	✅	5
Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control	✅	✅	✅	❌	✅	✅	✅	6
Learnable Spatial-Temporal Positional Encoding for Link Prediction	✅	✅	✅	✅	✅	❌	✅	6
Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales	❌	✅	✅	❌	✅	❌	✅	4
Learning Adaptive Lighting via Channel-Aware Guidance	❌	❌	✅	✅	✅	❌	✅	4
Learning Adversarial MDPs with Stochastic Hard Constraints	✅	❌	❌	❌	❌	❌	❌	1
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning	❌	✅	✅	❌	❌	❌	✅	3
Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization	❌	✅	✅	✅	✅	❌	✅	5
Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response	✅	✅	❌	❌	❌	✅	✅	4
Learning Cascade Ranking as One Network	❌	✅	✅	✅	✅	✅	✅	6
Learning Changes in Graphon Attachment Network Models	✅	❌	✅	❌	❌	❌	✅	3
Learning Classifiers That Induce Markets	✅	✅	✅	✅	❌	❌	✅	5
Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification	✅	❌	✅	✅	❌	❌	✅	4
Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction	❌	✅	✅	✅	✅	❌	✅	5
Learning Configurations for Data-Driven Multi-Objective Optimization	❌	❌	✅	✅	❌	❌	✅	3
Learning Curves of Stochastic Gradient Descent in Kernel Regression	❌	❌	❌	❌	❌	❌	❌	0
Learning Distances from Data with Normalizing Flows and Score Matching	✅	✅	✅	❌	✅	❌	✅	5
Learning Distribution-wise Control in Representation Space for Language Models	❌	✅	✅	❌	✅	❌	✅	4
Learning Dynamics in Continual Pre-Training for Large Language Models	❌	❌	✅	❌	❌	❌	✅	2
Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures	❌	✅	❌	❌	✅	✅	✅	4
Learning Efficient Robotic Garment Manipulation with Standardization	❌	❌	✅	✅	✅	❌	✅	4
Learning Event Completeness for Weakly Supervised Video Anomaly Detection	❌	❌	✅	✅	❌	❌	✅	3
Learning Extrapolative Sequence Transformations from Markov Chains	❌	✅	✅	✅	✅	❌	✅	5
Learning Fused State Representations for Control from Multi-View Observations	✅	✅	✅	❌	✅	❌	✅	5
Learning Gaussian DAG Models without Condition Number Bounds	✅	✅	✅	✅	✅	❌	✅	6
Learning Imbalanced Data with Beneficial Label Noise	✅	✅	✅	✅	✅	❌	✅	6
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback	✅	✅	✅	❌	✅	❌	✅	5
Learning In-context $n$-grams with Transformers: Sub-$n$-grams Are Near-Stationary Points	❌	✅	❌	✅	❌	❌	✅	3
Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision	❌	✅	✅	✅	✅	❌	✅	5
Learning Input Encodings for Kernel-Optimal Implicit Neural Representations	✅	✅	✅	✅	❌	❌	✅	5
Learning Invariant Causal Mechanism from Vision-Language Models	✅	✅	✅	✅	✅	❌	✅	6
Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models	❌	✅	❌	✅	❌	❌	✅	3
Learning Latent Graph Structures and their Uncertainty	❌	✅	✅	✅	✅	❌	✅	5
Learning Likelihood-Free Reference Priors	✅	✅	✅	❌	❌	❌	✅	4
Learning Mean Field Control on Sparse Graphs	✅	❌	✅	❌	❌	✅	✅	4
Learning Minimum-Size BDDs: Towards Efficient Exact Algorithms	✅	✅	✅	✅	✅	✅	✅	7
Learning Mixtures of Experts with EM: A Mirror Descent Perspective	✅	❌	✅	❌	❌	❌	✅	3
Learning Monotonic Probabilities with a Generative Cost Model	❌	✅	✅	✅	❌	❌	✅	4
Learning Multi-Level Features with Matryoshka Sparse Autoencoders	✅	✅	✅	❌	❌	❌	✅	4
Learning Optimal Multimodal Information Bottleneck Representations	✅	❌	✅	✅	❌	❌	✅	4
Learning Parametric Distributions from Samples and Preferences	❌	✅	❌	❌	✅	❌	✅	3
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks	✅	✅	✅	✅	✅	❌	✅	6
Learning Progress Driven Multi-Agent Curriculum	✅	✅	✅	❌	❌	❌	✅	4
Learning Representations of Instruments for Partial Identification of Treatment Effects	✅	✅	✅	✅	✅	❌	✅	6
Learning Robust Neural Processes with Risk-Averse Stochastic Optimization	✅	❌	✅	✅	✅	✅	✅	6
Learning Safe Control via On-the-Fly Bandit Exploration	✅	❌	❌	❌	❌	❌	✅	2
Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions	✅	❌	✅	❌	❌	❌	✅	3
Learning Safety Constraints for Large Language Models	✅	✅	✅	✅	❌	❌	✅	5
Learning Single Index Models with Diffusion Priors	✅	❌	✅	✅	✅	❌	✅	5
Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction	❌	✅	✅	✅	✅	✅	✅	6
Learning Soft Sparse Shapes for Efficient Time-Series Classification	✅	✅	✅	✅	✅	✅	✅	7
Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection	✅	✅	✅	✅	✅	❌	✅	6
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization	❌	❌	❌	❌	❌	❌	✅	1
Learning Survival Distributions with the Asymmetric Laplace Distribution	❌	✅	✅	✅	✅	❌	✅	5
Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains	✅	❌	✅	✅	✅	❌	✅	5
Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes	❌	✅	✅	✅	❌	❌	✅	4
Learning Utilities from Demonstrations in Markov Decision Processes	✅	❌	❌	❌	✅	❌	✅	3
Learning Vision and Language Concepts for Controllable Image Generation	❌	❌	✅	❌	✅	❌	✅	3
Learning With Multi-Group Guarantees For Clusterable Subpopulations	✅	❌	❌	❌	❌	❌	❌	1
Learning curves theory for hierarchically compositional data with power-law distributed features	❌	✅	❌	✅	❌	❌	✅	3
Learning dynamics in linear recurrent neural networks	❌	✅	✅	❌	❌	❌	❌	2
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning	❌	❌	✅	✅	❌	❌	✅	3
Learning from Sample Stability for Deep Clustering	✅	✅	✅	❌	✅	❌	✅	5
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network	✅	❌	✅	✅	✅	❌	✅	5
Learning from True-False Labels via Multi-modal Prompt Retrieving	✅	✅	✅	✅	✅	❌	✅	6
Learning from others’ mistakes: Finetuning machine translation models with span-level error annotations	❌	❌	✅	✅	❌	❌	✅	3
Learning multivariate Gaussians with imperfect advice	✅	✅	❌	❌	❌	❌	✅	3
Learning the Electronic Hamiltonian of Large Atomic Structures	✅	❌	✅	✅	✅	❌	✅	5
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING	❌	❌	✅	✅	❌	❌	✅	3
Learning to (Learn at Test Time): RNNs with Expressive Hidden States	❌	❌	✅	✅	✅	❌	✅	4
Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems	✅	❌	✅	✅	✅	✅	✅	6
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals	❌	❌	❌	❌	❌	❌	❌	0
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding	❌	❌	✅	❌	✅	❌	✅	3
Learning to Match Unpaired Data with Minimum Entropy Coupling	✅	✅	✅	✅	❌	❌	✅	5
Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge	❌	❌	✅	✅	❌	❌	✅	3
Learning to Quantize for Training Vector-Quantized Networks	✅	✅	✅	✅	❌	❌	✅	5
Learning to Reuse Policies in State Evolvable Environments	✅	✅	✅	❌	❌	❌	✅	4
Learning to Route LLMs with Confidence Tokens	✅	❌	✅	✅	✅	❌	✅	5
Learning to Steer Learners in Games	✅	❌	❌	❌	❌	❌	✅	2
Learning to Stop: Deep Learning for Mean Field Optimal Stopping	✅	❌	❌	❌	✅	❌	✅	3
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL	✅	✅	✅	❌	✅	❌	✅	5
Learning with Exact Invariances in Polynomial Time	✅	❌	❌	❌	❌	❌	✅	2
Learning with Expected Signatures: Theory and Applications	✅	✅	✅	✅	❌	❌	✅	5
Learning with Selectively Labeled Data from Multiple Decision-makers	✅	✅	✅	✅	❌	❌	✅	5
Learning without Isolation: Pathway Protection for Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors	✅	❌	❌	❌	❌	❌	❌	1
Learning-Augmented Hierarchical Clustering	✅	❌	❌	❌	❌	❌	❌	1
Learning-Order Autoregressive Models with Application to Molecular Graph Generation	✅	❌	✅	✅	❌	❌	✅	4
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation	❌	❌	✅	✅	✅	✅	✅	5
Learnware Specification via Dual Alignment	✅	❌	✅	❌	❌	❌	✅	3
Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams	✅	✅	✅	❌	✅	❌	✅	5
LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection	✅	✅	✅	❌	✅	❌	✅	5
Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective	✅	❌	✅	✅	❌	❌	✅	4
Let LLM Tell What to Prune and How Much to Prune	✅	❌	✅	❌	✅	❌	✅	4
Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection	✅	❌	✅	✅	✅	❌	✅	5
Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Leveraging Offline Data in Linear Latent Contextual Bandits	✅	✅	✅	❌	✅	❌	✅	5
Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation	❌	✅	✅	✅	❌	❌	✅	4
Leveraging Per-Instance Privacy for Machine Unlearning	❌	❌	✅	✅	✅	❌	✅	4
Leveraging Predictive Equivalence in Decision Trees	✅	✅	✅	✅	❌	❌	✅	5
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification	✅	❌	✅	✅	❌	❌	✅	4
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration	✅	✅	✅	❌	✅	❌	✅	5
Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective	❌	✅	✅	❌	❌	❌	✅	3
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries	✅	✅	✅	❌	✅	❌	✅	5
LieRE: Lie Rotational Positional Encodings	✅	✅	✅	✅	✅	❌	✅	6
Liger: Linearizing Large Language Models to Gated Recurrent Structures	❌	✅	✅	❌	✅	❌	✅	4
LightGTS: A Lightweight General Time Series Forecasting Model	❌	✅	✅	✅	✅	❌	✅	5
LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos	❌	✅	✅	❌	✅	❌	✅	4
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport	✅	❌	✅	❌	✅	❌	✅	4
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty	✅	✅	✅	❌	✅	❌	✅	5
Lightweight Online Adaption for Time Series Foundation Model Forecasts	✅	❌	✅	✅	✅	❌	✅	5
Lightweight Protocols for Distributed Private Quantile Estimation	✅	✅	❌	❌	✅	❌	✅	4
Lightweight-Mark: Rethinking Deep Learning-Based Watermarking	❌	❌	✅	❌	✅	❌	✅	3
Limitations of measure-first protocols in quantum machine learning	❌	❌	❌	❌	❌	❌	❌	0
LineFlow: A Framework to Learn Active Control of Production Lines	❌	✅	✅	❌	✅	✅	✅	5
Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set	❌	❌	❌	❌	❌	❌	✅	1
Linear Bandits with Partially Observable Features	✅	❌	❌	❌	❌	❌	✅	2
Linear Contextual Bandits With Interference	✅	✅	✅	❌	❌	❌	✅	4
Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries	✅	✅	✅	❌	✅	✅	✅	6
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Linear convergence of Sinkhorn’s algorithm for generalized static Schrödinger bridge	❌	❌	❌	❌	❌	❌	✅	1
Linearization Turns Neural Operators into Function-Valued Gaussian Processes	❌	❌	✅	✅	❌	❌	✅	3
LipsNet++: Unifying Filter and Controller into a Policy Network	✅	✅	✅	❌	✅	❌	✅	5
LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models	❌	✅	✅	✅	✅	❌	✅	5
LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won’t Fail)	❌	❌	✅	❌	❌	❌	✅	2
LoRA-Gen: Specializing Large Language Model via Online LoRA Generation	❌	❌	✅	✅	✅	❌	✅	4
LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently	✅	✅	✅	✅	✅	❌	✅	6
Local Identifying Causal Relations in the Presence of Latent Variables	✅	✅	✅	❌	✅	❌	✅	5
Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning	✅	✅	✅	❌	❌	❌	✅	4
Local Pan-privacy for Federated Analytics	✅	❌	❌	❌	❌	❌	❌	1
Locality Preserving Markovian Transition for Instance Retrieval	✅	❌	✅	✅	❌	❌	✅	4
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing	✅	❌	✅	❌	❌	❌	✅	3
Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning	❌	✅	✅	✅	✅	❌	✅	5
Logarithmic Regret for Online KL-Regularized Reinforcement Learning	✅	❌	✅	❌	❌	❌	❌	2
Logits are All We Need to Adapt Closed Models	✅	✅	✅	✅	❌	❌	✅	5
Long-Form Speech Generation with Spoken Language Models	❌	❌	✅	✅	✅	❌	✅	4
Long-Short Alignment for Effective Long-Context Modeling in LLMs	✅	✅	✅	❌	❌	❌	✅	4
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model	❌	❌	✅	✅	✅	❌	✅	4
LongRoPE2: Near-Lossless LLM Context Window Scaling	✅	❌	✅	❌	✅	✅	✅	5
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding	❌	✅	✅	✅	✅	❌	✅	5
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Looking Beyond the Top-1: Transformers Determine Top Tokens in Order	❌	✅	✅	✅	❌	❌	❌	3
Loss Functions and Operators Generated by f-Divergences	✅	❌	✅	✅	✅	❌	✅	5
LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression	✅	✅	✅	❌	✅	❌	✅	5
Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization	❌	❌	❌	✅	✅	❌	✅	3
Low-Rank Adapting Models for Sparse Autoencoders	❌	✅	✅	✅	❌	❌	✅	4
Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression	✅	✅	✅	✅	❌	❌	✅	5
Low-Rank Thinning	✅	✅	✅	✅	✅	✅	✅	7
Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space	✅	✅	✅	❌	❌	❌	✅	4
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits	✅	❌	✅	❌	✅	❌	✅	4
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers	❌	✅	❌	✅	✅	❌	✅	4
M$^3$HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality	✅	✅	✅	❌	✅	❌	✅	5
M+: Extending MemoryLLM with Scalable Long-Term Memory	❌	✅	✅	✅	✅	❌	✅	5
M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation	✅	✅	✅	✅	❌	❌	✅	5
M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture	❌	✅	✅	✅	❌	❌	✅	4
MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving	❌	✅	✅	✅	✅	❌	✅	5
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces	❌	✅	✅	✅	✅	❌	✅	5
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning	❌	✅	✅	✅	❌	❌	✅	4
MARGE: Improving Math Reasoning with Guided Exploration	✅	❌	✅	❌	✅	❌	✅	4
MARS: Unleashing the Power of Variance Reduction for Training Large Models	✅	✅	✅	✅	✅	❌	✅	6
MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems	✅	✅	✅	✅	✅	❌	✅	6
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities against Hard Perturbations	❌	✅	✅	✅	❌	❌	❌	3
MATS: An Audio Language Model under Text-only Supervision	❌	✅	✅	✅	✅	❌	✅	5
MCU: An Evaluation Framework for Open-Ended Game Agents	✅	✅	✅	❌	❌	❌	✅	4
MDDM: Practical Message-Driven Generative Image Steganography Based on Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents	✅	✅	✅	❌	❌	❌	✅	4
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs	✅	✅	✅	✅	✅	❌	✅	6
MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training	✅	✅	✅	✅	✅	❌	✅	6
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning	✅	✅	✅	❌	✅	❌	✅	5
MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
MIB: A Mechanistic Interpretability Benchmark	❌	✅	✅	✅	✅	❌	✅	5
MIPT: Multilevel Informed Prompt Tuning for Robust Molecular Property Prediction	✅	❌	✅	❌	✅	✅	✅	5
MIRROR: Make Your Object-Level Multi-View Generation More Consistent with Training-Free Rectification	✅	❌	✅	❌	✅	❌	✅	4
MITIGATING OVER-EXPLORATION IN LATENT SPACE OPTIMIZATION USING LES	✅	❌	✅	❌	✅	❌	✅	4
ML$^2$-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning	✅	✅	✅	✅	✅	✅	✅	7
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment	❌	❌	❌	✅	✅	❌	✅	3
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency	❌	❌	✅	❌	❌	❌	✅	2
MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention	✅	✅	✅	❌	✅	❌	✅	5
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization	✅	✅	✅	✅	✅	✅	✅	7
MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding	❌	✅	✅	❌	❌	❌	✅	3
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning	✅	❌	✅	✅	✅	❌	✅	5
MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification	❌	✅	✅	✅	✅	❌	✅	5
MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking	❌	✅	✅	✅	❌	❌	✅	4
MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning	✅	❌	✅	✅	❌	❌	✅	4
MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment	✅	❌	✅	❌	✅	❌	✅	4
MTL-UE: Learning to Learn Nothing for Multi-Task Learning	✅	✅	✅	✅	❌	❌	✅	5
MTSTRec: Multimodal Time-Aligned Shared Token Recommender	❌	✅	✅	✅	❌	❌	✅	4
MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections	✅	✅	✅	✅	✅	✅	✅	7
MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition	❌	❌	✅	❌	❌	❌	✅	2
Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics	❌	✅	✅	✅	✅	✅	✅	6
Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes	❌	❌	❌	✅	✅	✅	✅	4
Mahalanobis++: Improving OOD Detection via Feature Normalization	❌	✅	✅	✅	❌	❌	✅	4
Maintaining Proportional Committees with Dynamic Candidate Sets	✅	❌	❌	❌	❌	❌	❌	1
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment	✅	✅	✅	✅	✅	❌	✅	6
Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic	❌	✅	❌	✅	✅	❌	✅	4
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models	❌	✅	✅	✅	❌	❌	✅	4
Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More	❌	✅	✅	❌	❌	❌	✅	3
MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Masked Autoencoders Are Effective Tokenizers for Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
Masked Generative Nested Transformers with Decode Time Scaling	✅	❌	✅	❌	✅	❌	✅	4
Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding	❌	✅	✅	❌	❌	❌	✅	3
Mastering Board Games by External and Internal Planning with Language Models	✅	❌	✅	❌	❌	❌	✅	3
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer	❌	✅	✅	❌	✅	❌	✅	4
Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer	❌	❌	✅	❌	❌	❌	✅	2
MathConstruct: Challenging LLM Reasoning with Constructive Proofs	✅	✅	✅	❌	✅	❌	✅	5
Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection	✅	❌	✅	✅	❌	❌	❌	3
Matryoshka Quantization	❌	❌	✅	❌	✅	❌	✅	3
Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators	✅	✅	❌	✅	✅	❌	✅	5
Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization	✅	❌	✅	❌	❌	❌	✅	3
Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures	✅	✅	✅	❌	✅	❌	✅	5
Maximum Entropy Reinforcement Learning with Diffusion Policy	✅	✅	✅	❌	✅	❌	✅	5
Maximum Total Correlation Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
Measuring Diversity in Synthetic Datasets	❌	✅	✅	✅	✅	❌	✅	5
Measuring Diversity: Axioms and Challenges	❌	❌	❌	❌	❌	❌	❌	0
Measuring In-Context Computation Complexity via Hidden State Prediction	❌	✅	✅	✅	✅	❌	✅	5
Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective	❌	❌	✅	❌	❌	❌	✅	2
Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence	✅	❌	✅	✅	❌	❌	✅	4
Mechanisms of Projective Composition of Diffusion Models	❌	❌	✅	❌	✅	❌	✅	3
Mechanistic PDE Networks for Discovery of Governing Equations	✅	❌	❌	❌	❌	❌	✅	2
Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization	❌	❌	✅	✅	❌	❌	✅	3
MedRAX: Medical Reasoning Agent for Chest X-ray	✅	✅	✅	❌	✅	❌	✅	5
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding	❌	✅	✅	✅	❌	❌	✅	4
MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge	✅	❌	✅	✅	✅	✅	✅	6
Memorization Sinks: Isolating Memorization during LLM Training	❌	✅	✅	❌	❌	❌	✅	3
Memory Layers at Scale	❌	✅	✅	❌	✅	❌	✅	4
Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation	❌	❌	✅	❌	❌	❌	✅	2
Meta Optimality for Demographic Parity Constrained Regression via Post-Processing	✅	❌	❌	❌	❌	❌	❌	1
Meta-Black-Box-Optimization through Offline Q-function Learning	✅	✅	✅	✅	❌	❌	✅	5
Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding	✅	❌	✅	✅	✅	❌	✅	5
MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines	✅	✅	✅	✅	❌	❌	✅	5
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters	✅	✅	✅	✅	✅	❌	✅	6
Metadata Conditioning Accelerates Language Model Pre-training	❌	✅	✅	✅	✅	❌	✅	5
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation	✅	❌	❌	❌	❌	❌	❌	1
MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product	✅	❌	✅	✅	✅	❌	✅	5
MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance	✅	❌	✅	✅	✅	❌	✅	5
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse	❌	❌	✅	✅	❌	❌	✅	3
Mind the Gap: A Practical Attack on GGUF Quantization	✅	✅	✅	❌	✅	❌	✅	5
Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers	❌	✅	❌	❌	❌	❌	✅	2
MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data	❌	✅	✅	✅	✅	❌	✅	5
MindCustomer: Multi-Context Image Generation Blended with Brain Signal	❌	❌	✅	✅	✅	❌	✅	4
MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding	❌	✅	✅	✅	✅	❌	✅	5
Minerva: A Programmable Memory Test Benchmark for Language Models	❌	✅	✅	✅	❌	❌	✅	4
Minimalist Concept Erasure in Generative Models	❌	❌	✅	✅	✅	❌	✅	4
Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback	✅	❌	❌	❌	❌	❌	❌	1
Minimum Width for Universal Approximation using Squashable Activation Functions	❌	❌	❌	❌	❌	❌	❌	0
MiraGe: Editable 2D Images using Gaussian Splatting	❌	❌	✅	❌	✅	✅	✅	4
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?	❌	❌	✅	❌	✅	❌	✅	3
MissScore: High-Order Score Estimation in the Presence of Missing Data	✅	❌	✅	✅	✅	❌	✅	5
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing	✅	❌	✅	❌	❌	❌	✅	3
Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries	❌	❌	✅	❌	✅	❌	✅	3
Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance	✅	✅	✅	✅	✅	❌	✅	6
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification	✅	✅	✅	❌	❌	❌	✅	4
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn	✅	✅	✅	❌	✅	❌	✅	5
MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges	✅	✅	✅	❌	✅	❌	✅	5
MixMin: Finding Data Mixtures via Convex Minimization	✅	❌	✅	✅	✅	❌	✅	5
Mixed-curvature decision trees and random forests	✅	✅	✅	✅	❌	❌	✅	5
Mixture of Experts Made Intrinsically Interpretable	❌	❌	✅	✅	✅	❌	✅	4
Mixture of Experts Provably Detect and Learn the Latent Cluster Structure in Gradient-Based Learning	✅	❌	❌	❌	❌	❌	✅	2
Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer	❌	❌	✅	✅	✅	❌	✅	4
Mixture of Lookup Experts	✅	✅	✅	❌	✅	❌	✅	5
MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition	✅	❌	✅	✅	✅	❌	✅	5
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance	✅	❌	✅	✅	✅	✅	✅	6
MoH: Multi-Head Attention as Mixture-of-Head Attention	❌	✅	✅	✅	❌	❌	✅	4
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition	❌	❌	✅	✅	❌	❌	✅	3
MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition	❌	❌	✅	✅	✅	❌	✅	4
MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles	✅	✅	✅	✅	❌	❌	✅	5
Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing	❌	✅	✅	✅	✅	❌	✅	5
Model Immunization from a Condition Number Perspective	✅	✅	✅	❌	❌	❌	✅	4
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws	✅	✅	✅	❌	✅	❌	✅	5
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence	✅	✅	✅	✅	✅	❌	✅	6
Model Uncertainty Quantification by Conformal Prediction in Continual Learning	✅	❌	✅	✅	❌	❌	❌	3
Model-Based Exploration in Monitored Markov Decision Processes	✅	✅	❌	❌	✅	❌	✅	4
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training	❌	✅	✅	✅	✅	❌	✅	5
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent	✅	✅	✅	✅	✅	✅	✅	7
Models of Heavy-Tailed Mechanistic Universality	✅	❌	✅	❌	❌	❌	✅	3
Modified K-means Algorithm with Local Optimality Guarantees	✅	✅	✅	❌	❌	❌	✅	4
Modular Duality in Deep Learning	❌	✅	✅	✅	❌	❌	✅	4
Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering	✅	❌	✅	✅	✅	❌	✅	5
Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization	❌	✅	✅	❌	❌	❌	✅	3
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts	❌	❌	✅	✅	✅	❌	✅	4
Momentum-Driven Adaptivity: Towards Tuning-Free Asynchronous Federated Learning	✅	❌	✅	❌	❌	❌	✅	3
Monte Carlo Tree Diffusion for System 2 Planning	✅	❌	✅	❌	❌	❌	✅	3
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design	✅	✅	✅	✅	✅	✅	✅	7
Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport	❌	❌	✅	❌	✅	❌	✅	3
More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions	❌	✅	✅	✅	✅	❌	✅	5
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost	❌	❌	✅	✅	✅	❌	✅	4
Multi-Armed Bandits with Interference: Bridging Causal Inference and Adversarial Bandits	✅	❌	❌	❌	❌	❌	✅	2
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment	❌	✅	✅	✅	✅	✅	✅	6
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points	✅	✅	✅	✅	❌	❌	✅	5
Multi-Modal Object Re-identification via Sparse Mixture-of-Experts	❌	✅	✅	❌	✅	❌	✅	4
Multi-Objective Causal Bayesian Optimization	✅	✅	✅	❌	✅	❌	✅	5
Multi-Session Budget Optimization for Forward Auction-based Federated Learning	✅	❌	✅	✅	❌	❌	✅	4
Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning	✅	✅	✅	❌	✅	❌	✅	5
Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks	❌	❌	❌	✅	❌	❌	✅	2
Multi-Turn Code Generation Through Single-Step Rewards	✅	✅	✅	✅	✅	❌	✅	6
Multi-View Graph Clustering via Node-Guided Contrastive Encoding	✅	❌	✅	❌	❌	❌	✅	3
Multi-agent Architecture Search via Agentic Supernet	✅	✅	✅	✅	❌	✅	✅	6
Multi-band Frequency Reconstruction for Neural Psychoacoustic Coding	❌	✅	✅	✅	✅	❌	✅	5
Multi-objective Linear Reinforcement Learning with Lexicographic Rewards	✅	❌	❌	❌	❌	❌	❌	1
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation	❌	✅	❌	✅	✅	❌	✅	4
Multiaccuracy and Multicalibration via Proxy Groups	✅	✅	✅	✅	❌	❌	❌	4
Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion	✅	❌	✅	✅	✅	❌	✅	5
Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference	❌	❌	✅	❌	❌	❌	✅	2
Multimodal Medical Code Tokenizer	❌	✅	✅	✅	✅	✅	✅	6
Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints	✅	❌	✅	✅	✅	✅	✅	6
Multiobjective distribution matching	✅	❌	✅	❌	❌	❌	✅	3
Multiple-policy Evaluation via Density Estimation	✅	❌	❌	❌	❌	❌	❌	1
Multivariate Conformal Selection	✅	✅	✅	✅	❌	❌	✅	5
MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners	❌	✅	✅	✅	✅	❌	✅	5
Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer	❌	✅	✅	❌	✅	❌	✅	4
MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design	❌	✅	✅	❌	✅	❌	✅	4
N2GON: Neural Networks for Graph-of-Net with Position Awareness	✅	❌	✅	✅	✅	❌	✅	5
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations	✅	✅	✅	❌	✅	✅	✅	6
NEAR: Neural Electromagnetic Array Response	❌	✅	❌	❌	✅	❌	✅	3
NETS: A Non-equilibrium Transport Sampler	✅	❌	✅	❌	❌	❌	✅	3
NExtLong: Toward Effective Long-Context Training without Long Documents	✅	✅	✅	❌	✅	❌	✅	5
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric	❌	✅	✅	✅	✅	❌	✅	5
NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones	❌	✅	✅	✅	✅	✅	✅	6
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel	✅	✅	✅	✅	❌	❌	✅	5
NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction	❌	✅	✅	❌	✅	✅	✅	5
Natural Perturbations for Black-box Training of Neural Networks by Zeroth-Order Optimization	✅	❌	✅	✅	✅	❌	✅	5
Navigating Conflicting Views: Harnessing Trust for Learning	✅	✅	✅	✅	✅	✅	✅	7
Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning	✅	✅	✅	✅	❌	❌	✅	5
Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning	✅	✅	❌	❌	❌	❌	✅	3
Near Optimal Best Arm Identification for Clustered Bandits	✅	❌	✅	❌	❌	❌	✅	3
Near Optimal Non-asymptotic Sample Complexity of 1-Identification	✅	❌	❌	❌	❌	❌	✅	2
Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems	✅	✅	✅	❌	❌	❌	✅	4
Near-Optimal Decision Trees in a SPLIT Second	✅	✅	✅	✅	✅	❌	✅	6
Near-Optimal Sample Complexity for MDPs via Anchoring	✅	❌	❌	❌	❌	❌	❌	1
Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback	✅	❌	❌	❌	❌	❌	❌	1
Near-optimal Sketchy Natural Gradients for Physics-Informed Neural Networks	✅	✅	❌	❌	✅	❌	✅	4
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback	✅	❌	❌	❌	❌	❌	✅	2
Nearly Optimal Sample Complexity for Learning with Label Proportions	✅	❌	✅	✅	❌	❌	✅	4
NegMerge: Sign-Consensual Weight Merging for Machine Unlearning	❌	✅	✅	✅	❌	❌	✅	4
Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling	❌	✅	✅	✅	✅	❌	✅	5
Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity	❌	✅	✅	✅	❌	❌	✅	4
NestQuant: nested lattice quantization for matrix products and LLMs	✅	❌	✅	✅	✅	❌	✅	5
Nested Expectations with Kernel Quadrature	❌	✅	❌	❌	❌	❌	✅	2
Nesterov Method for Asynchronous Pipeline Parallel Optimization	❌	✅	✅	✅	✅	✅	✅	6
Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning	❌	✅	✅	❌	❌	❌	✅	3
Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime	✅	✅	✅	❌	❌	❌	✅	4
Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?	✅	✅	❌	❌	✅	❌	✅	4
Neural Encoding and Decoding at Scale	❌	✅	✅	✅	✅	❌	✅	5
Neural Event-Triggered Control with Optimal Scheduling	✅	✅	❌	❌	✅	❌	✅	4
Neural Genetic Search in Discrete Spaces	✅	✅	✅	❌	✅	❌	✅	5
Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning	❌	✅	✅	✅	✅	❌	✅	5
Neural Guided Diffusion Bridges	✅	✅	❌	❌	❌	❌	✅	3
Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery	✅	✅	✅	✅	✅	❌	✅	6
Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment	❌	✅	✅	✅	✅	❌	✅	5
Neural Solver Selection for Combinatorial Optimization	❌	✅	✅	✅	❌	❌	✅	4
NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics	❌	❌	✅	✅	✅	✅	✅	5
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders	✅	✅	✅	✅	✅	✅	✅	7
NeuronTune: Towards Self-Guided Spurious Bias Mitigation	❌	✅	✅	✅	❌	❌	✅	4
Neurosymbolic World Models for Sequential Decision Making	✅	✅	❌	❌	❌	❌	✅	3
Neutral residues: revisiting adapters for model extension	❌	❌	✅	❌	❌	❌	✅	2
New Bounds for Sparse Variational Gaussian Processes	❌	❌	✅	✅	✅	❌	✅	4
NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits	✅	✅	✅	❌	✅	❌	✅	5
No Free Lunch from Random Feature Ensembles: Scaling Laws and Near-Optimality Conditions	❌	✅	✅	❌	❌	❌	✅	3
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets	❌	✅	✅	✅	✅	❌	✅	5
No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks	❌	✅	✅	✅	✅	✅	✅	6
No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces	✅	✅	✅	✅	❌	❌	✅	5
No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization	✅	❌	❌	❌	❌	❌	❌	1
NoLiMa: Long-Context Evaluation Beyond Literal Matching	❌	✅	✅	❌	❌	❌	✅	3
Noise Conditional Variational Score Distillation	✅	✅	✅	✅	✅	❌	✅	6
Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation	✅	✅	✅	✅	✅	❌	✅	6
Noisy SIGNSGD Is More Differentially Private Than You (Might) Think	✅	❌	✅	✅	❌	✅	✅	5
Non-Asymptotic Length Generalization	✅	❌	❌	❌	❌	❌	❌	1
Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails	✅	❌	❌	❌	❌	❌	✅	2
Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics	✅	✅	✅	✅	❌	❌	✅	5
Non-asymptotic Error Bounds in $\mathcalW_2$-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity	❌	❌	❌	❌	❌	❌	✅	1
Non-stationary Diffusion For Probabilistic Time Series Forecasting	✅	✅	✅	✅	❌	❌	✅	5
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability	✅	❌	❌	❌	❌	❌	❌	1
Nonconvex Theory of $M$-estimators with Decomposable Regularizers	❌	❌	❌	❌	❌	❌	❌	0
Nonlinear transformers can perform inference-time feature learning	✅	❌	❌	❌	❌	❌	✅	2
Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness	❌	✅	✅	❌	❌	❌	✅	3
Nonparametric Identification of Latent Concepts	❌	❌	✅	❌	✅	❌	✅	3
Nonparametric Modern Hopfield Models	❌	✅	✅	✅	✅	✅	✅	6
Nonparametric Teaching for Graph Property Learners	✅	❌	✅	✅	✅	❌	✅	5
Normalizing Flows are Capable Generative Models	❌	✅	✅	✅	✅	❌	✅	5
Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers	✅	❌	✅	✅	❌	❌	✅	4
Not All Wrong is Bad: Using Adversarial Examples for Unlearning	✅	✅	✅	✅	✅	❌	✅	6
Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks	❌	✅	✅	❌	❌	❌	✅	3
Novelty Detection in Reinforcement Learning with World Models	❌	❌	✅	❌	✅	❌	✅	3
O-MAPL: Offline Multi-agent Preference Learning	✅	❌	✅	❌	✅	❌	✅	4
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?	❌	✅	✅	✅	❌	❌	✅	4
OR-Bench: An Over-Refusal Benchmark for Large Language Models	❌	✅	✅	❌	❌	❌	✅	3
OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction	❌	✅	✅	✅	✅	❌	✅	5
OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition	❌	✅	✅	❌	✅	❌	❌	3
OW-VAP: Visual Attribute Parsing for Open World Object Detection	✅	❌	✅	✅	✅	❌	✅	5
OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models	❌	✅	✅	✅	✅	✅	✅	6
Objective drives the consistency of representational similarity across datasets	❌	✅	✅	✅	❌	❌	✅	4
Observation Interference in Partially Observable Assistance Games	❌	❌	❌	❌	❌	❌	✅	1
Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference	✅	✅	✅	❌	✅	❌	✅	5
Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents	✅	❌	❌	❌	❌	❌	✅	2
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation	✅	✅	✅	❌	✅	❌	✅	5
Off-Policy Evaluation under Nonignorable Missing Data	✅	✅	✅	✅	❌	❌	✅	5
Offline Learning for Combinatorial Multi-armed Bandits	✅	❌	✅	❌	✅	❌	✅	4
Offline Model-based Optimization for Real-World Molecular Discovery	✅	✅	✅	✅	❌	❌	✅	5
Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement	✅	❌	❌	❌	❌	❌	✅	2
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation	✅	❌	✅	❌	✅	❌	✅	4
Olica: Efficient Structured Pruning of Large Language Models without Retraining	✅	✅	✅	✅	✅	✅	✅	7
OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation	✅	✅	✅	❌	✅	✅	✅	6
Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition	✅	❌	✅	❌	❌	❌	✅	3
OmniArch: Building Foundation Model for Scientific Computing	❌	✅	✅	✅	✅	❌	✅	5
OmniAudio: Generating Spatial Audio from 360-Degree Video	❌	✅	✅	❌	✅	❌	✅	4
OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance	✅	❌	✅	❌	✅	❌	✅	4
On Differential Privacy for Adaptively Solving Search Problems via Sketching	✅	❌	❌	❌	❌	❌	❌	1
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization	✅	✅	✅	✅	✅	❌	❌	5
On Exact Bit-level Reversible Transformers Without Changing Architecture	❌	✅	✅	❌	✅	❌	✅	4
On Explaining Equivariant Graph Networks via Improved Relevance Propagation	❌	✅	✅	❌	✅	❌	✅	4
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding	✅	✅	✅	✅	❌	❌	✅	5
On Fine-Grained Distinct Element Estimation	✅	✅	✅	❌	✅	✅	✅	6
On Learning Parallel Pancakes with Mostly Uniform Weights	✅	❌	❌	❌	❌	❌	❌	1
On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms	✅	❌	❌	❌	❌	❌	❌	1
On Measuring Long-Range Interactions in Graph Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback	✅	❌	❌	❌	❌	✅	✅	3
On Path to Multimodal Generalist: General-Level and General-Bench	❌	❌	✅	✅	❌	❌	✅	3
On Teacher Hacking in Language Model Distillation	❌	❌	✅	✅	❌	❌	✅	3
On Temperature Scaling and Conformal Prediction of Deep Classifiers	❌	✅	✅	✅	✅	❌	✅	5
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning	❌	❌	❌	❌	❌	❌	✅	1
On Understanding Attention-Based In-Context Learning for Categorical Data	❌	✅	✅	✅	✅	❌	✅	5
On Volume Minimization in Conformal Regression	✅	✅	✅	✅	❌	❌	✅	5
On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation	❌	✅	✅	✅	✅	❌	✅	5
On the Adversarial Robustness of Multi-Kernel Clustering	❌	✅	✅	❌	❌	❌	✅	3
On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness	✅	✅	✅	❌	❌	❌	✅	4
On the Benefits of Active Data Collection in Operator Learning	❌	✅	❌	✅	❌	❌	✅	3
On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics	✅	❌	✅	❌	❌	❌	✅	3
On the Convergence of Continuous Single-timescale Actor-critic	✅	❌	❌	❌	❌	❌	❌	1
On the Diversity of Adversarial Ensemble Learning	✅	✅	✅	❌	✅	❌	✅	5
On the Duality between Gradient Transformations and Adapters	❌	❌	✅	❌	❌	❌	✅	2
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning	✅	✅	❌	❌	❌	❌	✅	3
On the Emergence of Position Bias in Transformers	❌	✅	❌	❌	✅	❌	✅	3
On the Generalization Ability of Next-Token-Prediction Pretraining	❌	✅	✅	✅	✅	❌	✅	5
On the Guidance of Flow Matching	✅	✅	✅	✅	✅	❌	✅	6
On the Impact of Performative Risk Minimization for Binary Random Variables	✅	✅	❌	❌	❌	❌	✅	3
On the Importance of Embedding Norms in Self-Supervised Learning	✅	✅	✅	✅	❌	❌	✅	5
On the Importance of Gaussianizing Representations	✅	✅	✅	✅	✅	❌	✅	6
On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks	❌	❌	✅	❌	✅	❌	❌	2
On the Learnability of Distribution Classes with Adaptive Adversaries	❌	❌	❌	❌	❌	❌	❌	0
On the Local Complexity of Linear Regions in Deep ReLU Networks	❌	❌	✅	❌	❌	❌	✅	2
On the Out-of-Distribution Generalization of Self-Supervised Learning	✅	✅	✅	✅	✅	❌	✅	6
On the Power of Context-Enhanced Learning in LLMs	✅	❌	❌	❌	❌	❌	✅	2
On the Power of Learning-Augmented Search Trees	❌	❌	❌	❌	❌	❌	✅	1
On the Private Estimation of Smooth Transport Maps	❌	✅	❌	❌	❌	❌	✅	2
On the Provable Separation of Scales in Maximal Update Parameterization	❌	❌	✅	❌	❌	❌	✅	2
On the Query Complexity of Verifier-Assisted Language Generation	✅	✅	❌	✅	❌	❌	✅	4
On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents	❌	✅	✅	❌	❌	❌	✅	3
On the Robustness of Reward Models for Language Model Alignment	❌	✅	✅	✅	✅	❌	✅	5
On the Role of Label Noise in the Feature Learning Process	❌	✅	✅	❌	❌	❌	✅	3
On the Similarities of Embeddings in Contrastive Learning	❌	✅	✅	✅	✅	❌	✅	5
On the Statistical Mechanisms of Distributional Compositional Generalization	❌	❌	❌	✅	❌	❌	✅	2
On the Tension between Byzantine Robustness and No-Attack Accuracy in Distributed Learning	✅	❌	✅	❌	✅	✅	✅	5
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures	❌	❌	❌	✅	❌	❌	✅	2
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains	❌	❌	✅	❌	✅	❌	✅	3
On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists	✅	✅	✅	✅	✅	❌	✅	6
On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving	❌	✅	✅	❌	✅	❌	✅	4
One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory	✅	✅	✅	✅	✅	✅	✅	7
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation	✅	❌	✅	✅	❌	❌	✅	4
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs	❌	✅	✅	❌	✅	❌	✅	4
One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework	❌	✅	✅	❌	✅	❌	✅	4
One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation	✅	✅	✅	✅	✅	❌	✅	6
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy	✅	✅	✅	✅	✅	❌	✅	6
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution	✅	❌	✅	✅	❌	❌	✅	4
One-Pass Feature Evolvable Learning with Theoretical Guarantees	✅	✅	✅	✅	❌	❌	✅	5
One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models	✅	❌	✅	❌	✅	✅	✅	5
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation	✅	❌	✅	❌	✅	❌	✅	4
One-Step Generalization Ratio Guided Optimization for Domain Generalization	✅	❌	✅	✅	✅	✅	✅	6
One-dimensional Path Convolution	❌	❌	✅	✅	✅	❌	✅	4
OneForecast: A Universal Framework for Global and Regional Weather Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Online Clustering of Dueling Bandits	✅	❌	✅	❌	❌	❌	✅	3
Online Conformal Prediction via Online Optimization	✅	✅	✅	✅	❌	❌	✅	5
Online Curvature-Aware Replay: Leveraging $\mathbf2^nd$ Order Information for Online Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting	✅	✅	✅	❌	❌	❌	✅	4
Online Differentially Private Conformal Prediction for Uncertainty Quantification	✅	❌	✅	❌	❌	❌	✅	3
Online Episodic Convex Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Online Laplacian-Based Representation Learning in Reinforcement Learning	✅	✅	❌	❌	❌	❌	✅	3
Online Learning in Risk Sensitive constrained MDP	✅	✅	❌	❌	❌	❌	✅	3
Online Learning in the Random-Order Model	✅	❌	❌	❌	❌	❌	❌	1
Online Learning with Unknown Constraints	✅	❌	❌	❌	❌	❌	❌	1
Online Linear Classification with Massart Noise	✅	❌	❌	❌	❌	❌	❌	1
Online Pre-Training for Offline-to-Online Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Online Robust Reinforcement Learning Through Monte-Carlo Planning	✅	✅	✅	❌	❌	❌	✅	4
Online Sparsification of Bipartite-Like Clusters in Graphs	❌	✅	✅	❌	✅	❌	✅	4
Open Materials Generation with Stochastic Interpolants	❌	✅	✅	✅	✅	✅	✅	6
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction	✅	✅	✅	✅	✅	❌	✅	6
Open-Det: An Efficient Learning Framework for Open-Ended Detection	❌	✅	✅	✅	✅	❌	✅	5
OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning	✅	✅	✅	✅	❌	❌	✅	5
OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling	✅	✅	✅	❌	❌	✅	✅	5
Optimal Algorithm for Max-Min Fair Bandit	✅	❌	❌	❌	❌	❌	✅	2
Optimal Auction Design in the Joint Advertising	✅	❌	❌	✅	❌	❌	✅	3
Optimal Decision Tree Pruning Revisited: Algorithms and Complexity	❌	✅	✅	❌	✅	✅	✅	5
Optimal Fair Learning Robust to Adversarial Distribution Shift	❌	❌	❌	❌	❌	❌	❌	0
Optimal Information Retention for Time-Series Explanations	✅	✅	✅	❌	✅	❌	✅	5
Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics	❌	✅	❌	❌	✅	❌	✅	3
Optimal Survey Design for Private Mean Estimation	✅	✅	❌	❌	❌	❌	✅	3
Optimal Task Order for Continual Learning of Multiple Tasks	❌	✅	✅	✅	✅	❌	✅	5
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion	❌	❌	✅	❌	❌	❌	✅	2
Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization	✅	❌	✅	❌	✅	❌	✅	4
Optimal and Practical Batched Linear Bandit Algorithm	✅	❌	❌	❌	❌	❌	✅	2
Optimal transport-based conformal prediction	❌	✅	✅	✅	❌	❌	✅	4
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect	✅	✅	✅	❌	❌	❌	✅	4
Optimization Proxies using Limited Labeled Data and Training Time – A Semi-Supervised Bayesian Neural Network Approach	❌	✅	✅	✅	✅	❌	✅	5
Optimization for Neural Operators can Benefit from Width	❌	✅	✅	❌	✅	❌	✅	4
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees	✅	✅	✅	✅	✅	❌	✅	6
Optimizing Adaptive Attacks against Watermarks for Language Models	✅	✅	✅	✅	✅	❌	✅	6
Optimizing Language Models for Inference Time Objectives using Reinforcement Learning	✅	❌	✅	✅	❌	❌	✅	4
Optimizing Large Language Model Training Using FP4 Quantization	✅	✅	✅	❌	✅	❌	✅	5
Optimizing Noise Distributions for Differential Privacy	✅	✅	✅	❌	❌	❌	✅	4
Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach	✅	✅	✅	❌	❌	❌	✅	4
Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design	✅	✅	✅	❌	✅	✅	✅	6
Optimizing Temperature for Language Models with Multi-Sample Inference	✅	✅	✅	✅	✅	❌	✅	6
Optimizing Test-Time Compute via Meta Reinforcement Finetuning	✅	❌	✅	❌	❌	❌	✅	3
Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference	❌	❌	✅	❌	✅	❌	✅	3
OrcaLoca: An LLM Agent Framework for Software Issue Localization	✅	✅	✅	❌	❌	✅	✅	5
Organize the Web: Constructing Domains Enhances Pre-Training Data Curation	✅	✅	✅	✅	✅	✅	✅	7
Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models	❌	❌	✅	✅	✅	❌	✅	4
Origin Identification for Text-Guided Image-to-Image Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference	✅	❌	✅	❌	✅	❌	✅	4
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection	✅	✅	✅	✅	❌	❌	✅	5
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads	❌	✅	✅	✅	✅	❌	✅	5
Oscillation-Reduced MXFP4 Training for Vision Transformers	✅	✅	✅	✅	❌	❌	✅	5
Otter: Generating Tests from Issues to Validate SWE Patches	❌	✅	✅	❌	❌	❌	✅	3
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models	✅	✅	✅	✅	✅	✅	✅	7
Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models	✅	✅	✅	✅	✅	❌	✅	6
Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling	✅	❌	✅	✅	✅	❌	✅	5
Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner	❌	✅	✅	✅	✅	❌	✅	5
Overcoming Non-monotonicity in Transducer-based Streaming Generation	✅	✅	✅	❌	✅	✅	✅	6
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan	✅	❌	✅	✅	❌	❌	✅	4
Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling	✅	❌	✅	❌	✅	❌	✅	4
Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization	✅	❌	✅	❌	❌	❌	✅	3
Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination’s Impact on Machine Translation	❌	❌	✅	✅	❌	❌	✅	3
Overtrained Language Models Are Harder to Fine-Tune	❌	❌	✅	✅	✅	❌	✅	4
P(all-atom) Is Unlocking New Path For Protein Design	✅	✅	✅	❌	✅	❌	✅	5
PAC Learning with Improvements	✅	✅	✅	✅	✅	❌	✅	6
PAC-Bayes Analysis for Recalibration in Classification	✅	❌	✅	✅	✅	❌	✅	5
PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs	✅	✅	✅	❌	❌	❌	✅	4
PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling	❌	✅	✅	❌	❌	❌	✅	3
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model	✅	✅	✅	✅	✅	❌	✅	6
PARQ: Piecewise-Affine Regularized Quantization	✅	✅	✅	❌	❌	❌	✅	4
PASS: Private Attributes Protection with Stochastic Data Substitution	✅	❌	✅	✅	❌	❌	✅	4
PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs	✅	✅	✅	✅	✅	❌	✅	6
PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs	❌	✅	✅	✅	✅	❌	✅	5
PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations	✅	✅	✅	✅	✅	❌	✅	6
PDUDT: Provable Decentralized Unlearning under Dynamic Topologies	✅	❌	✅	✅	✅	✅	✅	6
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity	✅	✅	✅	✅	❌	❌	✅	5
PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction	❌	✅	✅	✅	✅	✅	✅	6
PENCIL: Long Thoughts with Short Memory	✅	✅	❌	✅	❌	❌	❌	3
PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis	❌	❌	✅	✅	✅	❌	✅	4
PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
PILAF: Optimal Human Preference Sampling for Reward Modeling	✅	❌	✅	✅	❌	❌	✅	4
PINNsAgent: Automated PDE Surrogation with Large Language Models	✅	❌	✅	❌	✅	❌	✅	4
PIPA: Preference Alignment as Prior-Informed Statistical Estimation	✅	❌	✅	✅	❌	❌	✅	4
PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop	❌	✅	✅	✅	✅	❌	✅	5
POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval	✅	✅	✅	❌	❌	❌	✅	4
POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization	✅	✅	✅	✅	✅	❌	✅	6
PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design	❌	❌	✅	✅	✅	❌	✅	4
PRIME: Deep Imbalanced Regression with Proxies	❌	❌	✅	✅	✅	❌	✅	4
PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering	✅	✅	✅	❌	❌	❌	✅	4
PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS	✅	✅	✅	❌	✅	❌	✅	5
PTTA: Purifying Malicious Samples for Test-Time Model Adaptation	✅	✅	✅	✅	✅	✅	✅	7
Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes	❌	✅	✅	✅	❌	❌	✅	4
PaperBench: Evaluating AI’s Ability to Replicate AI Research	❌	✅	✅	❌	✅	❌	✅	4
Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models	✅	❌	❌	❌	❌	❌	❌	1
ParallelComp: Parallel Long-Context Compressor for Length Extrapolation	❌	✅	✅	✅	✅	❌	✅	5
Parameter-Efficient Fine-Tuning of State Space Models	✅	✅	✅	✅	✅	❌	✅	6
Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models	❌	❌	✅	❌	❌	❌	✅	2
Parametric Scaling Law of Tuning Bias in Conformal Prediction	❌	✅	✅	✅	❌	❌	✅	4
Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging	✅	❌	✅	❌	✅	✅	✅	5
Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms	✅	✅	✅	❌	❌	❌	✅	4
Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search	❌	❌	❌	❌	❌	❌	✅	1
Pareto-frontier Entropy Search with Variational Lower Bound Maximization	✅	❌	✅	✅	❌	❌	✅	4
Parrot: Multilingual Visual Instruction Tuning	✅	✅	✅	✅	✅	❌	✅	6
Partially Observable Reinforcement Learning with Memory Traces	❌	✅	✅	❌	❌	❌	✅	3
Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data	✅	✅	✅	❌	❌	✅	✅	5
Patch-wise Structural Loss for Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification	❌	✅	✅	✅	❌	❌	✅	4
Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data	✅	✅	✅	✅	✅	❌	✅	6
PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion	✅	✅	✅	✅	✅	✅	✅	7
Perception in Reflection	✅	✅	✅	❌	✅	❌	✅	5
Perceptual-GS: Scene-adaptive Perceptual Densification for Gaussian Splatting	❌	✅	✅	❌	✅	❌	✅	4
Perceptually Constrained Precipitation Nowcasting Model	✅	❌	✅	✅	❌	❌	✅	4
Peri-LN: Revisiting Normalization Layer in the Transformer Architecture	❌	❌	✅	❌	❌	❌	✅	2
Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying	❌	❌	✅	❌	✅	❌	❌	2
Permutation Equivariant Neural Networks for Symmetric Tensors	✅	✅	❌	✅	❌	❌	✅	4
Permutation-Free High-Order Interaction Tests	✅	✅	✅	✅	✅	❌	✅	6
Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data	✅	❌	✅	❌	❌	❌	✅	3
Persistent Topological Features in Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction	✅	✅	✅	✅	✅	❌	✅	6
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning	✅	❌	✅	❌	✅	✅	✅	5
Pfeife: Automatic Pipeline Parallelism for PyTorch	✅	✅	✅	❌	✅	✅	✅	6
PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation	❌	✅	✅	✅	✅	❌	✅	5
Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness	✅	✅	✅	✅	❌	❌	✅	5
Phase transitions for the existence of unregularized M-estimators in single index models	❌	❌	❌	❌	❌	❌	✅	1
Physics Aware Neural Networks for Unsupervised Binding Energy Prediction	✅	❌	✅	✅	✅	✅	✅	6
Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification	❌	✅	✅	❌	✅	❌	✅	4
Physics-Informed Generative Modeling of Wireless Channels	✅	✅	✅	✅	✅	✅	✅	7
Physics-Informed Weakly Supervised Learning For Interatomic Potentials	❌	✅	✅	✅	✅	❌	✅	5
Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
PiD: Generalized AI-Generated Images Detection with Pixelwise Decomposition Residuals	✅	❌	✅	❌	❌	❌	✅	3
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities	❌	✅	✅	✅	✅	❌	✅	5
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule	✅	✅	✅	✅	✅	❌	✅	6
PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization	❌	✅	❌	❌	✅	❌	✅	3
Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Pixel-level Certified Explanations via Randomized Smoothing	❌	✅	✅	✅	❌	❌	✅	4
Pixel2Feature Attack (P2FA): Rethinking the Perturbed Space to Enhance Adversarial Transferability	✅	✅	✅	❌	❌	❌	✅	4
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks	❌	❌	✅	✅	✅	✅	✅	5
Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference	✅	❌	✅	✅	✅	❌	✅	5
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning	❌	✅	✅	✅	✅	❌	✅	5
Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion	❌	✅	✅	✅	✅	❌	✅	5
Point Cloud Dataset Distillation	✅	❌	✅	✅	❌	❌	✅	4
Point-Level Topological Representation Learning on Point Clouds	✅	✅	✅	❌	✅	❌	✅	5
Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study	✅	❌	✅	❌	✅	❌	✅	4
PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data	❌	✅	✅	✅	✅	✅	✅	6
PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models	✅	❌	✅	✅	❌	✅	✅	5
PokéChamp: an Expert-level Minimax Language Agent	❌	✅	✅	❌	❌	✅	✅	4
Policy Design for Two-sided Platforms with Participation Dynamics	❌	✅	✅	❌	❌	❌	✅	3
Policy Filtration for RLHF to Mitigate Noise in Reward Models	✅	✅	✅	✅	❌	❌	✅	5
Policy Gradient with Tree Expansion	✅	✅	✅	❌	✅	✅	✅	6
Policy Guided Tree Search for Enhanced LLM Reasoning	✅	❌	✅	✅	❌	❌	✅	4
Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints	✅	❌	❌	❌	❌	❌	❌	1
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
Policy-Regret Minimization in Markov Games with Function Approximation	✅	❌	❌	❌	❌	❌	❌	1
Policy-labeled Preference Learning: Is Preference Enough for RLHF?	✅	❌	✅	❌	❌	❌	✅	3
Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications	❌	✅	✅	✅	✅	✅	✅	6
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models	❌	✅	✅	✅	❌	❌	✅	4
Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems	❌	❌	❌	❌	❌	❌	❌	0
Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules	✅	❌	✅	❌	❌	❌	❌	2
Polynomial-Time Approximability of Constrained Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models	✅	❌	✅	✅	✅	❌	✅	5
Position: A Theory of Deep Learning Must Include Compositional Sparsity	❌	❌	❌	❌	❌	❌	❌	0
Position: AI Agents Need Authenticated Delegation	❌	❌	❌	❌	❌	❌	❌	0
Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation	❌	❌	❌	❌	❌	❌	❌	0
Position: AI Evaluation Should Learn from How We Test Humans	❌	❌	✅	✅	❌	❌	✅	3
Position: AI Safety Must Embrace an Antifragile Perspective	❌	❌	❌	❌	❌	❌	❌	0
Position: AI Safety should prioritize the Future of Work	❌	❌	❌	❌	❌	❌	❌	0
Position: AI Scaling: From Up to Down and Out	❌	❌	❌	❌	❌	❌	❌	0
Position: AI Should Not Be An Imitation Game: Centaur Evaluations	❌	❌	❌	❌	❌	❌	❌	0
Position: AI’s growing due process problem	❌	❌	❌	❌	❌	❌	❌	0
Position: Algebra Unveils Deep Learning - An Invitation to Neuroalgebraic Geometry	❌	❌	❌	❌	❌	❌	❌	0
Position: All Current Generative Fidelity and Diversity Metrics are Flawed	❌	✅	❌	❌	✅	❌	✅	3
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research	❌	❌	❌	❌	❌	❌	❌	0
Position: Beyond Assistance – Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care	❌	❌	❌	❌	❌	❌	❌	0
Position: Build Agent Advocates, Not Platform Agents	❌	❌	❌	❌	❌	❌	❌	0
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption	❌	✅	✅	❌	❌	❌	✅	3
Position: Certified Robustness Does Not (Yet) Imply Model Security	❌	❌	❌	❌	❌	❌	❌	0
Position: Challenges and Future Directions of Data-Centric AI Alignment	❌	❌	✅	❌	❌	❌	❌	1
Position: Constants are Critical in Regret Bounds for Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Position: Contextual Integrity is Inadequately Applied to Language Models	❌	❌	❌	❌	❌	❌	❌	0
Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance	❌	❌	✅	❌	❌	❌	❌	1
Position: Deep Learning is Not So Mysterious or Different	❌	❌	✅	✅	❌	❌	✅	3
Position: Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work.	❌	❌	❌	❌	❌	❌	❌	0
Position: Don’t Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints	✅	✅	❌	❌	❌	❌	✅	3
Position: Editing Large Language Models Poses Serious Safety Risks	❌	❌	❌	❌	❌	❌	❌	0
Position: Enough of Scaling LLMs! Lets Focus on Downscaling	❌	✅	❌	❌	❌	❌	❌	1
Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge	❌	❌	❌	❌	❌	❌	❌	0
Position: Explainable AI Cannot Advance Without Better User Studies	❌	❌	✅	✅	❌	❌	✅	3
Position: Formal Mathematical Reasoning—A New Frontier in AI	❌	❌	✅	❌	❌	❌	❌	1
Position: Future Research and Challenges Remain Towards AI for Software Engineering	❌	❌	✅	❌	❌	❌	❌	1
Position: General Intelligence Requires Reward-based Pretraining	✅	❌	✅	✅	✅	❌	✅	5
Position: Generative AI Regulation Can Learn from Social Media Regulation	❌	❌	❌	❌	❌	❌	❌	0
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks	❌	✅	✅	✅	✅	❌	✅	5
Position: Graph Matching Systems Deserve Better Benchmarks	✅	✅	✅	✅	❌	❌	❌	4
Position: Human Baselines in Model Evaluations Need Rigor and Transparency (With Recommendations & Reporting Checklist)	❌	✅	✅	❌	❌	❌	❌	2
Position: Humanity Faces Existential Risk from Gradual Disempowerment	❌	❌	❌	❌	❌	❌	❌	0
Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI	❌	❌	❌	❌	❌	❌	❌	0
Position: It Is Time We Test Neural Computation In Vitro	❌	❌	❌	❌	❌	❌	❌	0
Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks	❌	❌	❌	❌	❌	❌	❌	0
Position: LLM Social Simulations Are a Promising Research Method	❌	❌	❌	❌	❌	❌	❌	0
Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning	✅	✅	❌	❌	❌	❌	❌	2
Position: Language model developers should report train-test overlap	✅	❌	✅	❌	❌	❌	❌	2
Position: Lifetime tuning is incompatible with continual reinforcement learning	❌	❌	✅	❌	❌	❌	✅	2
Position: Machine Learning Models Have a Supply Chain Problem	✅	✅	✅	❌	✅	❌	❌	4
Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity	❌	❌	✅	✅	❌	❌	❌	2
Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable	❌	❌	❌	❌	❌	❌	❌	0
Position: Political Neutrality in AI Is Impossible — But Here Is How to Approximate It	❌	✅	✅	❌	✅	✅	❌	4
Position: Principles of Animal Cognition to Improve LLM Evaluations	❌	❌	❌	✅	❌	❌	✅	2
Position: Probabilistic Modelling is Sufficient for Causal Inference	❌	❌	❌	❌	❌	❌	❌	0
Position: Rethinking Explainable Machine Learning as Applied Statistics	❌	❌	❌	❌	❌	❌	❌	0
Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences	❌	❌	✅	❌	❌	❌	❌	1
Position: Retrieval-augmented systems can be dangerous medical communicators	❌	✅	✅	❌	❌	❌	✅	3
Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives	✅	❌	❌	❌	❌	❌	❌	1
Position: Societal Impacts Research Requires Benchmarks for Creative Composition Tasks	❌	❌	✅	❌	❌	❌	❌	1
Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)	❌	✅	✅	❌	❌	❌	✅	3
Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived	❌	❌	✅	❌	❌	❌	❌	1
Position: Stop treating ‘AGI’ as the north-star goal of AI research	❌	❌	❌	❌	❌	❌	❌	0
Position: Strong Consumer Protection is an Inalienable Defense for AI Safety in the United States	❌	❌	❌	❌	❌	❌	❌	0
Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection	❌	✅	✅	❌	❌	❌	✅	3
Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards	❌	❌	✅	❌	❌	✅	✅	3
Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process	❌	❌	✅	❌	❌	❌	❌	1
Position: The Categorization of Race in ML is a Flawed Premise	❌	❌	✅	❌	❌	✅	✅	3
Position: The Future of Bayesian Prediction Is Prior-Fitted	✅	❌	❌	❌	❌	❌	✅	2
Position: The Most Expensive Part of an LLM should be its Training Data	❌	❌	✅	❌	❌	❌	❌	1
Position: The Right to AI	❌	❌	❌	❌	❌	❌	❌	0
Position: Theory of Mind Benchmarks are Broken for Large Language Models	❌	❌	✅	✅	❌	❌	✅	3
Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning	❌	❌	❌	❌	❌	❌	❌	0
Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods	✅	❌	✅	❌	❌	❌	❌	2
Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents	❌	❌	❌	❌	❌	❌	❌	0
Position: We Can’t Understand AI Using our Existing Vocabulary	❌	❌	✅	❌	❌	❌	✅	2
Position: We Need An Algorithmic Understanding of Generative AI	❌	❌	❌	❌	❌	✅	✅	2
Position: We Need Responsible, Application-Driven (RAD) AI Research	❌	❌	❌	❌	❌	❌	❌	0
Position: When Incentives Backfire, Data Stops Being Human	❌	❌	❌	❌	❌	❌	❌	0
Position: You Can’t Manufacture a NeRF	❌	❌	✅	❌	❌	❌	✅	2
Positional Attention: Expressivity and Learnability of Algorithmic Computation	✅	❌	❌	✅	❌	❌	✅	3
Positional Encoding meets Persistent Homology on Graphs	❌	✅	✅	✅	✅	❌	✅	5
Positive-unlabeled AUC Maximization under Covariate Shift	✅	❌	✅	✅	✅	❌	✅	5
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization	✅	✅	✅	✅	✅	❌	✅	6
Potemkin Understanding in Large Language Models	❌	✅	✅	❌	❌	❌	❌	2
Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search	✅	❌	✅	❌	❌	❌	✅	3
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG	✅	✅	✅	✅	❌	❌	✅	5
Pre-training Auto-regressive Robotic Models with 4D Representations	❌	❌	✅	✅	✅	❌	✅	4
Preconditioned Riemannian Gradient Descent Algorithm for Low-Multilinear-Rank Tensor Completion	✅	✅	✅	❌	✅	✅	✅	6
Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves	❌	❌	✅	✅	✅	✅	✅	5
Predicting mutational effects on protein binding from folding energy	❌	✅	✅	✅	✅	✅	✅	6
Predicting the Susceptibility of Examples to Catastrophic Forgetting	✅	❌	✅	✅	✅	❌	✅	5
Prediction models that learn to avoid missing values	✅	✅	✅	✅	❌	❌	✅	5
Prediction via Shapley Value Regression	✅	✅	✅	✅	✅	❌	✅	6
Prediction-Aware Learning in Multi-Agent Systems	✅	❌	✅	❌	❌	❌	✅	3
Prediction-Powered Adaptive Shrinkage Estimation	✅	✅	✅	✅	✅	❌	✅	6
Prediction-Powered E-Values	✅	✅	✅	❌	❌	❌	✅	4
Predictive Data Selection: The Data That Predicts Is the Data That Teaches	❌	✅	✅	✅	✅	❌	✅	5
Predictive Performance of Deep Quantum Data Re-uploading Models	❌	❌	✅	✅	❌	❌	✅	3
Preference Adaptive and Sequential Text-to-Image Generation	✅	❌	✅	❌	❌	❌	✅	3
Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization	✅	❌	✅	✅	✅	❌	✅	5
Preference Learning for AI Alignment: a Causal Perspective	❌	✅	✅	✅	❌	❌	✅	4
Preference Optimization for Combinatorial Optimization Problems	✅	❌	✅	❌	✅	❌	✅	4
Preference learning made easy: Everything should be understood through win rate	❌	❌	✅	❌	❌	❌	✅	2
Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies	❌	✅	✅	❌	✅	❌	✅	4
Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs	✅	✅	✅	✅	❌	❌	✅	5
Preserving AUC Fairness in Learning with Noisy Protected Groups	✅	✅	✅	✅	✅	❌	✅	6
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation	❌	✅	✅	❌	✅	❌	✅	4
Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All	✅	✅	✅	✅	✅	✅	✅	7
Primal-Dual Neural Algorithmic Reasoning	✅	✅	✅	✅	✅	✅	✅	7
Primitive Vision: Improving Diagram Understanding in MLLMs	❌	✅	✅	✅	✅	❌	✅	5
Primphormer: Efficient Graph Transformers with Primal Representations	✅	❌	✅	❌	❌	❌	✅	3
Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents	✅	❌	❌	❌	❌	❌	❌	1
Principled Algorithms for Optimizing Generalized Metrics in Binary Classification	✅	❌	✅	❌	❌	❌	✅	3
Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples	✅	✅	✅	✅	✅	❌	✅	6
Prior Knowledge Guided Neural Architecture Generation	✅	❌	✅	✅	✅	❌	✅	5
Privacy Amplification Through Synthetic Data: Insights from Linear Regression	❌	❌	❌	❌	❌	❌	✅	1
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting	✅	❌	✅	✅	❌	✅	✅	5
Privacy Attacks on Image AutoRegressive Models	❌	✅	✅	✅	✅	❌	✅	5
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation	✅	❌	✅	❌	❌	❌	✅	3
Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models	❌	✅	✅	✅	✅	❌	✅	5
Private Federated Learning using Preference-Optimized Synthetic Data	✅	✅	✅	✅	✅	❌	✅	6
Private Lossless Multiple Release	✅	❌	❌	❌	❌	❌	✅	2
Private Model Personalization Revisited	✅	✅	❌	✅	❌	❌	✅	4
ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation	✅	✅	✅	✅	❌	❌	✅	5
ProSec: Fortifying Code LLMs with Proactive Security Alignment	✅	✅	✅	❌	✅	❌	✅	5
Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty	✅	✅	✅	✅	❌	❌	✅	5
Probabilistic Factorial Experimental Design for Combinatorial Interventions	✅	✅	❌	❌	✅	✅	✅	5
Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning	❌	✅	✅	❌	✅	❌	✅	4
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes	❌	❌	✅	✅	✅	❌	✅	4
Probably Approximately Global Robustness Certification	✅	✅	✅	✅	✅	❌	✅	6
Probing Visual Language Priors in VLMs	❌	❌	✅	❌	✅	❌	✅	3
Procurement Auctions via Approximately Optimal Submodular Optimization	✅	❌	✅	❌	❌	❌	✅	3
Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective	✅	✅	✅	✅	✅	❌	✅	6
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale	✅	❌	✅	✅	✅	❌	✅	5
Progressive Tempering Sampler with Diffusion	✅	✅	✅	❌	❌	❌	✅	4
Progressively Label Enhancement for Large Language Model Alignment	✅	❌	✅	✅	✅	❌	✅	5
Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF	✅	❌	✅	❌	❌	❌	✅	3
Projection Pursuit Density Ratio Estimation	✅	❌	✅	✅	✅	❌	✅	5
Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models	✅	❌	✅	✅	✅	❌	✅	5
Prompt-based Depth Pruning of Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations	✅	✅	✅	✅	✅	❌	✅	6
ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis	✅	✅	✅	✅	✅	✅	✅	7
Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features	✅	✅	✅	✅	✅	❌	✅	6
Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble	✅	❌	✅	✅	❌	❌	✅	4
Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents	✅	❌	✅	✅	❌	❌	✅	4
Protein Structure Tokenization: Benchmarking and New Recipe	✅	✅	✅	✅	✅	❌	✅	6
Proto Successor Measure: Representing the Behavior Space of an RL Agent	✅	❌	✅	❌	✅	❌	✅	4
Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction	❌	✅	✅	✅	✅	❌	✅	5
Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent	✅	❌	❌	❌	❌	❌	✅	2
Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models	❌	❌	❌	❌	❌	❌	✅	1
Provable Efficiency of Guidance in Diffusion Models for General Data Distribution	❌	❌	✅	❌	❌	❌	✅	2
Provable In-Context Vector Arithmetic via Retrieving Task Concepts	✅	❌	❌	❌	❌	❌	✅	2
Provable Length Generalization in Sequence Prediction via Spectral Filtering	✅	❌	❌	❌	❌	❌	✅	2
Provable Maximum Entropy Manifold Exploration via Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity	✅	✅	✅	❌	✅	✅	✅	6
Provable Zero-Shot Generalization in Offline Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent	✅	✅	✅	❌	❌	❌	✅	4
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing	✅	✅	✅	✅	✅	❌	✅	6
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition	✅	❌	❌	❌	❌	❌	❌	1
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces	✅	❌	❌	✅	❌	❌	✅	3
Provably Improving Generalization of Few-shot models with Synthetic Data	✅	❌	✅	✅	❌	✅	✅	5
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead	✅	✅	✅	✅	✅	✅	✅	7
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting	❌	❌	✅	✅	✅	❌	✅	4
Prune ’n Predict: Optimizing LLM Decision-making with Conformal Prediction	❌	❌	✅	✅	❌	❌	✅	3
Pruning for GNNs: Lower Complexity with Comparable Expressiveness	✅	✅	✅	❌	❌	❌	✅	4
Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs	❌	✅	✅	✅	❌	❌	✅	4
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs	❌	✅	✅	❌	✅	❌	✅	4
PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models	❌	✅	✅	✅	❌	❌	❌	3
Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers	❌	❌	✅	❌	❌	❌	✅	2
QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline	❌	✅	✅	✅	✅	✅	✅	6
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search	✅	✅	✅	✅	✅	❌	✅	6
QMamba: On First Exploration of Vision Mamba for Image Quality Assessment	❌	✅	✅	✅	✅	❌	✅	5
QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal	✅	❌	✅	❌	❌	❌	✅	3
QT-DoG: Quantization-Aware Training for Domain Generalization	❌	✅	✅	✅	✅	✅	✅	6
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring	❌	❌	✅	✅	✅	❌	✅	4
QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration	✅	✅	✅	❌	✅	❌	✅	5
QuEST: Stable Training of LLMs with 1-Bit Weights and Activations	✅	✅	✅	❌	✅	❌	✅	5
QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions	❌	❌	✅	✅	❌	❌	✅	3
QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval	✅	✅	✅	✅	✅	❌	✅	6
Quadratic Upper Bound for Boosting Robustness	✅	❌	✅	❌	✅	❌	✅	4
Quadruple Attention in Many-body Systems for Accurate Molecular Property Predictions	❌	✅	✅	✅	✅	❌	✅	5
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models	❌	✅	✅	✅	✅	❌	✅	5
QuanONet: Quantum Neural Operator with Application to Differential Equation	❌	❌	❌	✅	✅	❌	✅	3
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache	✅	❌	✅	❌	✅	❌	✅	4
Quantifying Memory Utilization with Effective State-Size	✅	✅	✅	✅	❌	❌	✅	5
Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs	❌	❌	✅	❌	✅	❌	✅	3
Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies	❌	❌	✅	❌	✅	❌	❌	2
Quantum Algorithms for Finite-horizon Markov Decision Processes	✅	❌	❌	❌	❌	❌	❌	1
Quantum Optimization via Gradient-Based Hamiltonian Descent	✅	✅	❌	❌	✅	❌	✅	4
Quantum Speedup for Hypergraph Sparsification	✅	❌	❌	❌	❌	❌	❌	1
Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes	✅	❌	❌	❌	❌	❌	❌	1
R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
R.I.P.: Better Models by Survival of the Fittest Prompts	❌	❌	✅	✅	❌	✅	✅	4
R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts	❌	✅	✅	✅	✅	❌	✅	5
R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning	✅	✅	✅	❌	❌	✅	✅	5
RAGGED: Towards Informed Design of Scalable and Stable RAG Systems	❌	✅	✅	❌	✅	❌	✅	4
RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding	✅	✅	✅	✅	✅	❌	✅	6
RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals	✅	✅	✅	✅	❌	❌	✅	5
RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation	❌	✅	✅	❌	❌	❌	✅	3
RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts	❌	✅	✅	✅	✅	✅	✅	6
RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation	❌	❌	✅	❌	❌	❌	✅	2
REG: Rectified Gradient Guidance for Conditional Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective	✅	✅	✅	✅	✅	✅	✅	7
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers	✅	✅	❌	❌	✅	❌	✅	4
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation	❌	✅	✅	✅	✅	❌	✅	5
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning	❌	❌	✅	✅	✅	✅	✅	5
RLTHF: Targeted Human Feedback for LLM Alignment	✅	❌	✅	✅	✅	❌	✅	5
ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck	✅	✅	✅	✅	✅	❌	✅	6
ROPO: Robust Preference Optimization for Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-$k$-Cut Problems	✅	✅	✅	✅	✅	✅	✅	7
RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning	❌	✅	✅	❌	✅	✅	✅	5
RUN: Reversible Unfolding Network for Concealed Object Segmentation	✅	✅	✅	✅	✅	❌	✅	6
RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization	✅	❌	✅	❌	✅	✅	✅	5
RZ-NAS: Enhancing LLM-guided Neural Architecture Search via Reflective Zero-Cost Strategy	✅	✅	✅	❌	❌	❌	✅	4
Radio: Rate–Distortion Optimization for Large Language Model Compression	✅	✅	✅	✅	✅	❌	✅	6
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing	✅	✅	✅	✅	✅	❌	✅	6
Random Feature Representation Boosting	✅	✅	✅	✅	✅	❌	✅	6
Random Policy Evaluation Uncovers Policies of Generative Flow Networks	✅	❌	✅	❌	✅	❌	✅	4
Random Registers for Cross-Domain Few-Shot Learning	❌	✅	✅	✅	❌	❌	✅	4
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures	❌	❌	✅	❌	✅	✅	✅	4
Rank-One Modified Value Iteration	✅	❌	✅	❌	❌	❌	✅	3
Ranked Entropy Minimization for Continual Test-Time Adaptation	❌	✅	✅	✅	❌	❌	✅	4
Ranked from Within: Ranking Large Multimodal Models Without Labels	❌	❌	✅	✅	✅	✅	✅	5
Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity	✅	❌	❌	❌	❌	❌	✅	2
Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization	✅	❌	❌	❌	❌	❌	❌	1
Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger	✅	✅	✅	✅	✅	❌	✅	6
ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding	✅	❌	✅	✅	✅	❌	✅	5
ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering	❌	✅	✅	❌	✅	❌	✅	4
RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers	❌	✅	✅	❌	✅	❌	✅	4
ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation	✅	✅	✅	❌	✅	❌	✅	5
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification	❌	✅	✅	✅	✅	❌	✅	5
Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures	✅	✅	✅	✅	✅	✅	✅	7
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning	❌	❌	✅	✅	❌	❌	❌	2
Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems	✅	✅	✅	✅	✅	❌	✅	6
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation	✅	✅	✅	❌	✅	❌	✅	5
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment	❌	✅	✅	✅	❌	❌	✅	4
Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization	✅	❌	❌	❌	❌	❌	✅	2
Reconstructing Cell Lineage Trees from Phenotypic Features with Metric Learning	❌	✅	✅	❌	❌	❌	✅	3
Rectifying Conformity Scores for Better Conditional Coverage	✅	✅	✅	✅	✅	❌	✅	6
Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport	✅	❌	✅	✅	❌	❌	✅	4
Reducing Tool Hallucination via Reliability Alignment	❌	✅	✅	✅	✅	✅	✅	6
Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games	✅	❌	✅	❌	✅	❌	✅	4
Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs	❌	✅	✅	❌	✅	❌	✅	4
ReferSplat: Referring Segmentation in 3D Gaussian Splatting	❌	✅	✅	✅	✅	❌	✅	5
Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks	❌	❌	❌	❌	❌	❌	❌	0
Refining Adaptive Zeroth-Order Optimization at Ease	✅	❌	✅	❌	❌	❌	✅	3
Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens	✅	❌	✅	❌	✅	❌	✅	4
Reflection-Bench: Evaluating Epistemic Agency in Large Language Models	❌	✅	✅	❌	❌	❌	✅	3
Reflection-Window Decoding: Text Generation with Selective Refinement	✅	❌	✅	❌	❌	❌	✅	3
Regress, Don’t Guess: A Regression-like Loss on Number Tokens for Language Models	✅	✅	✅	✅	✅	✅	✅	7
Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression	❌	❌	✅	✅	❌	❌	✅	3
Regret-Free Reinforcement Learning for Temporal Logic Specifications	✅	❌	❌	❌	✅	❌	✅	3
Regularized Langevin Dynamics for Combinatorial Optimization	✅	✅	✅	✅	✅	❌	✅	6
Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning	✅	❌	✅	✅	❌	❌	✅	4
Reinforce LLM Reasoning through Multi-Agent Reflection	✅	❌	✅	✅	✅	❌	✅	5
Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements	❌	❌	❌	✅	❌	❌	✅	2
Reinforced Lifelong Editing for Language Models	✅	✅	✅	✅	✅	❌	✅	6
Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator	❌	✅	✅	✅	✅	❌	✅	5
Reinforcement Learning for Quantum Control under Physical Constraints	❌	✅	❌	❌	✅	✅	✅	4
Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems	✅	✅	✅	❌	❌	❌	✅	4
Reinforcement Learning with Random Time Horizons	✅	✅	✅	❌	✅	❌	✅	5
Reinforcement Learning with Segment Feedback	✅	❌	❌	❌	❌	❌	✅	2
Rejecting Hallucinated State Targets during Planning	❌	✅	✅	✅	❌	❌	✅	4
RelGNN: Composite Message Passing for Relational Deep Learning	❌	❌	✅	✅	❌	❌	✅	3
Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss	❌	✅	✅	❌	❌	❌	✅	3
Relational Conformal Prediction for Correlated Time Series	❌	✅	✅	✅	✅	❌	✅	5
Relational Invariant Learning for Robust Solvation Free Energy Prediction	❌	❌	✅	✅	✅	❌	✅	4
Relative Error Fair Clustering in the Weak-Strong Oracle Model	✅	❌	✅	❌	✅	❌	✅	4
Reliable Algorithm Selection for Machine Learning-Guided Design	✅	✅	✅	✅	❌	❌	✅	5
Reliable and Efficient Amortized Model-based Evaluation	❌	✅	✅	✅	❌	❌	✅	4
RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts	❌	❌	✅	✅	❌	❌	✅	3
RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing	✅	✅	✅	❌	❌	❌	✅	4
Representation Preserving Multiclass Agnostic to Realizable Reduction	✅	❌	❌	❌	❌	❌	❌	1
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing	✅	✅	✅	❌	❌	❌	✅	4
Representation Surgery in Model Merging with Probabilistic Modeling	❌	❌	✅	✅	✅	❌	✅	4
Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions	❌	❌	✅	✅	❌	❌	✅	3
Representative Language Generation	❌	❌	❌	❌	❌	❌	❌	0
Representative Ranking for Deliberation in the Public Sphere	✅	❌	✅	❌	❌	❌	✅	3
ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals	✅	✅	✅	❌	❌	❌	✅	4
ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals	❌	✅	✅	✅	✅	✅	✅	6
ResearchTown: Simulator of Human Research Community	✅	✅	✅	✅	❌	✅	✅	6
Residual Matrix Transformers: Scaling the Size of the Residual Stream	❌	✅	✅	❌	✅	❌	✅	4
Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis	✅	✅	✅	✅	❌	❌	❌	4
Resolving Lexical Bias in Model Editing	✅	✅	✅	✅	✅	❌	✅	6
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior	✅	❌	✅	✅	✅	❌	✅	5
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach	✅	✅	✅	✅	✅	❌	✅	6
Rethink GraphODE Generalization within Coupled Dynamical System	❌	✅	❌	✅	✅	✅	✅	5
Rethink the Role of Deep Learning towards Large-scale Quantum Systems	❌	❌	❌	✅	❌	❌	✅	2
Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Aleatoric and Epistemic Uncertainty	❌	✅	✅	❌	❌	❌	✅	3
Rethinking Benign Overfitting in Two-Layer Neural Networks	❌	❌	✅	❌	❌	❌	✅	2
Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Chain-of-Thought from the Perspective of Self-Training	✅	✅	✅	✅	❌	❌	✅	5
Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL	✅	✅	✅	✅	✅	❌	✅	6
Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning	❌	✅	✅	❌	❌	❌	✅	3
Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation	❌	❌	✅	✅	✅	❌	✅	4
Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation	✅	✅	✅	✅	✅	❌	✅	6
Rethinking Score Distilling Sampling for 3D Editing and Generation	✅	✅	✅	❌	✅	✅	✅	6
Rethinking Time Encoding via Learnable Transformation Functions	❌	✅	✅	✅	❌	❌	✅	4
Rethinking the Bias of Foundation Model under Long-tailed Distribution	❌	❌	✅	❌	✅	❌	✅	3
Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective	✅	✅	✅	✅	❌	❌	✅	5
Rethinking the Temperature for Federated Heterogeneous Distillation	✅	❌	✅	✅	✅	❌	✅	5
Retraining with Predicted Hard Labels Provably Increases Model Accuracy	❌	❌	✅	✅	❌	❌	✅	3
Retraining-free Merging of Sparse MoE via Hierarchical Clustering	✅	✅	✅	✅	✅	❌	✅	6
Retrieval Augmented Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate	❌	❌	✅	✅	✅	❌	❌	3
Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding	❌	❌	✅	✅	✅	❌	✅	4
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG	✅	✅	✅	❌	❌	❌	✅	4
Return Capping: Sample Efficient CVaR Policy Gradient Optimisation	✅	✅	✅	❌	❌	❌	✅	4
Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces	✅	✅	✅	✅	❌	❌	✅	5
Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks	✅	❌	✅	✅	✅	❌	✅	5
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks	✅	❌	✅	✅	❌	❌	✅	4
Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding?	❌	❌	✅	✅	✅	❌	✅	4
Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning	❌	✅	✅	✅	✅	❌	✅	5
Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness	✅	❌	✅	❌	❌	❌	✅	3
Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Revisiting Differentially Private Algorithms for Decentralized Online Learning	✅	❌	✅	✅	❌	❌	✅	4
Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation	❌	❌	✅	❌	✅	❌	✅	3
Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model	✅	❌	✅	❌	✅	❌	✅	4
Revisiting Neural Networks for Few-Shot Learning: A Zero-Cost NAS Perspective	❌	❌	✅	✅	✅	❌	✅	4
Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis	✅	✅	✅	✅	✅	❌	✅	6
Revisiting Non-Acyclic GFlowNets in Discrete Environments	❌	✅	✅	❌	❌	❌	✅	3
Revisiting Unbiased Implicit Variational Inference	✅	❌	✅	❌	✅	❌	✅	4
Revisiting the Predictability of Performative, Social Events	✅	❌	❌	❌	❌	❌	❌	1
Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization	❌	✅	✅	✅	✅	❌	✅	5
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd	✅	❌	✅	✅	❌	❌	✅	4
Reward Translation via Reward Machine in Semi-Alignable MDPs	❌	✅	✅	❌	❌	❌	❌	2
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs	✅	✅	✅	❌	❌	❌	✅	4
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design	✅	✅	✅	✅	❌	❌	✅	5
Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs	✅	❌	✅	✅	✅	✅	✅	6
Reward-Guided Speculative Decoding for Efficient LLM Reasoning	✅	✅	✅	❌	✅	❌	✅	5
Reward-free World Models for Online Imitation Learning	✅	❌	✅	✅	✅	❌	✅	5
Rhomboid Tiling for Geometric Graph Deep Learning	❌	✅	✅	✅	✅	❌	✅	5
Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks	❌	✅	✅	✅	❌	❌	✅	4
Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds	✅	✅	✅	✅	✅	❌	✅	6
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift	❌	✅	✅	✅	✅	❌	✅	5
Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation	✅	✅	✅	✅	❌	❌	✅	5
Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity	✅	❌	✅	❌	✅	❌	✅	4
Risk and cross validation in ridge regression with correlated samples	✅	✅	❌	❌	❌	❌	✅	3
Risk-Sensitive Theory of Mind: Coordinating with Agents of Unknown Bias using Cumulative Prospect Theory	✅	✅	❌	❌	❌	✅	✅	4
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism	✅	✅	✅	✅	❌	❌	✅	5
Robust Automatic Modulation Classification with Fuzzy Regularization	❌	✅	✅	❌	❌	❌	❌	2
Robust Autonomy Emerges from Self-Play	✅	❌	✅	✅	✅	❌	✅	5
Robust Conformal Outlier Detection under Contaminated Reference Data	✅	✅	✅	✅	❌	❌	✅	5
Robust Consensus Anchor Learning for Efficient Multi-view Subspace Clustering	✅	❌	✅	❌	❌	❌	✅	3
Robust ML Auditing using Prior Knowledge	❌	✅	✅	❌	❌	❌	✅	3
Robust Multi-Agent Reinforcement Learning with Stochastic Adversary	✅	❌	✅	❌	❌	❌	✅	3
Robust Multi-bit Text Watermark with LLM-based Paraphrasers	✅	✅	✅	❌	❌	❌	✅	4
Robust Multimodal Large Language Models Against Modality Conflict	❌	✅	✅	✅	❌	❌	✅	4
Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs	❌	✅	✅	✅	❌	✅	✅	5
Robust Offline Reinforcement Learning with Linearly Structured $f$-Divergence Regularization	✅	✅	❌	❌	✅	❌	✅	4
Robust Reward Alignment via Hypothesis Space Batch Cutting	✅	✅	❌	❌	❌	❌	✅	3
Robust Secure Swap: Responsible Face Swap With Persons of Interest Redaction and Provenance Traceability	❌	✅	✅	❌	✅	❌	✅	4
Robust Sparsification via Sensitivity	✅	❌	✅	❌	✅	✅	✅	5
Robust Spatio-Temporal Centralized Interaction for OOD Learning	✅	✅	✅	✅	✅	❌	✅	6
Robust and Conjugate Spatio-Temporal Gaussian Processes	❌	✅	✅	✅	✅	❌	✅	5
RobustLight: Improving Robustness via Diffusion Reinforcement Learning for Traffic Signal Control	✅	✅	✅	❌	✅	❌	✅	5
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations	✅	❌	✅	❌	✅	❌	✅	4
RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression	✅	✅	✅	❌	✅	❌	✅	5
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction	❌	✅	✅	✅	❌	❌	✅	4
RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer	✅	✅	✅	✅	❌	❌	✅	5
RuleAdapter: Dynamic Rules for training Safety Reward Models in RLHF	❌	✅	✅	❌	❌	❌	✅	3
Runtime Analysis of Evolutionary NAS for Multiclass Classification	❌	❌	❌	❌	❌	❌	✅	1
Rényi Neural Processes	✅	✅	✅	✅	❌	❌	✅	5
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking	❌	❌	✅	✅	✅	❌	✅	4
S4S: Solving for a Fast Diffusion Model Solver	✅	❌	✅	❌	✅	❌	✅	4
SADA: Stability-guided Adaptive Diffusion Acceleration	❌	✅	✅	✅	✅	❌	✅	5
SAE-V: Interpreting Multimodal Models for Enhanced Alignment	✅	✅	✅	✅	✅	❌	✅	6
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability	❌	✅	✅	✅	✅	❌	✅	5
SAFE: Finding Sparse and Flat Minima to Improve Pruning	✅	✅	✅	✅	✅	❌	✅	6
SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes	❌	✅	✅	✅	❌	❌	✅	4
SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation	✅	✅	✅	✅	✅	❌	❌	5
SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation	✅	✅	✅	✅	✅	❌	✅	6
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model’s Parameter-Efficient Fine-Tuning	❌	❌	✅	✅	✅	❌	✅	4
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer	❌	✅	✅	❌	✅	❌	✅	4
SAND: One-Shot Feature Selection with Additive Noise Distortion	❌	✅	✅	✅	✅	❌	✅	5
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders	✅	✅	✅	✅	✅	❌	✅	6
SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion	✅	❌	✅	❌	✅	❌	✅	4
SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval	❌	✅	✅	✅	✅	❌	✅	5
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields	✅	❌	✅	✅	✅	❌	✅	5
SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification	❌	✅	✅	❌	✅	❌	✅	4
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations	✅	✅	✅	✅	❌	❌	✅	5
SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming	❌	✅	✅	❌	✅	❌	✅	4
SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space	❌	✅	✅	❌	❌	❌	✅	3
SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors	✅	❌	✅	✅	✅	❌	✅	5
SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding	✅	✅	✅	✅	❌	❌	✅	5
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning	❌	✅	✅	✅	✅	❌	✅	5
SEMU: Singular Value Decomposition for Efficient Machine Unlearning	✅	✅	✅	✅	❌	❌	✅	5
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models	❌	✅	✅	❌	✅	✅	✅	5
SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization	✅	❌	✅	❌	✅	❌	✅	4
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training	❌	❌	✅	✅	✅	❌	✅	4
SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures	❌	✅	✅	✅	✅	❌	✅	5
SHARP-Distill: A 68$\times$ Faster Recommender System with Hypergraph Neural Networks and Language Models	✅	❌	✅	✅	✅	❌	✅	5
SHE: Streaming-media Hashing Retrieval	✅	✅	✅	✅	✅	❌	✅	6
SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy	✅	❌	✅	✅	✅	❌	✅	5
SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning	❌	❌	✅	❌	❌	❌	✅	2
SING: Spatial Context in Large Language Model for Next-Gen Wearables	❌	❌	✅	❌	✅	❌	✅	3
SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems	✅	✅	✅	✅	✅	❌	✅	6
SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs	❌	✅	✅	✅	✅	✅	✅	6
SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization	✅	❌	✅	✅	✅	❌	✅	5
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression	✅	✅	✅	✅	✅	❌	✅	6
SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds	❌	✅	✅	✅	✅	❌	✅	5
SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services	❌	✅	❌	❌	✅	❌	✅	3
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels	❌	✅	✅	❌	✅	❌	✅	4
SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model	❌	✅	✅	✅	✅	❌	✅	5
SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models	✅	❌	✅	❌	✅	❌	✅	4
SPEX: Scaling Feature Interaction Explanations for LLMs	✅	✅	✅	❌	✅	❌	✅	5
SPHINX: Structural Prediction using Hypergraph Inference Network	❌	❌	✅	✅	❌	❌	✅	3
SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution	✅	✅	✅	✅	❌	❌	✅	5
SPRI: Aligning Large Language Models with Context-Situated Principles	✅	✅	✅	✅	✅	❌	✅	6
SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images	❌	❌	✅	✅	✅	❌	✅	4
STAIR: Improving Safety Alignment with Introspective Reasoning	✅	✅	✅	✅	✅	❌	✅	6
STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings	❌	✅	✅	✅	❌	❌	✅	4
STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization	✅	✅	✅	❌	✅	❌	✅	5
STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification	✅	✅	✅	✅	✅	❌	✅	6
STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving	✅	✅	✅	✅	✅	❌	✅	6
SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics	✅	✅	✅	✅	✅	❌	✅	6
SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics	❌	✅	✅	✅	✅	❌	✅	5
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training	✅	❌	✅	✅	✅	❌	✅	5
SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?	❌	✅	✅	✅	✅	❌	✅	5
Sable: a Performant, Efficient and Scalable Sequence Model for MARL	✅	✅	✅	❌	✅	✅	✅	6
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets	❌	✅	✅	✅	✅	❌	✅	5
Safe-EF: Error Feedback for Non-smooth Constrained Optimization	✅	✅	❌	❌	❌	❌	✅	3
SafeArena: Evaluating the Safety of Autonomous Web Agents	❌	❌	✅	❌	❌	❌	✅	2
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
SafeMap: Robust HD Map Construction from Incomplete Observations	❌	❌	✅	✅	✅	❌	✅	4
Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design	✅	❌	❌	❌	❌	❌	❌	1
Safety Alignment Can Be Not Superficial With Explicit Safety Signals	❌	✅	✅	❌	✅	❌	✅	4
Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics	✅	❌	❌	❌	❌	❌	✅	2
Safety Reasoning with Guidelines	❌	❌	✅	✅	❌	✅	✅	4
Safety-Polarized and Prioritized Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior	❌	✅	✅	❌	✅	❌	❌	3
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization	✅	✅	✅	✅	✅	❌	✅	6
Sample Complexity of Branch-length Estimation by Maximum Likelihood	✅	❌	❌	❌	❌	❌	❌	1
Sample Complexity of Correlation Detection in the Gaussian Wigner Model	✅	❌	✅	❌	❌	❌	✅	3
Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction	✅	✅	✅	❌	✅	❌	✅	5
Sample Efficient Demonstration Selection for In-Context Learning	✅	✅	✅	✅	❌	❌	✅	5
Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification	✅	❌	✅	✅	❌	✅	✅	5
Sample-Optimal Agnostic Boosting with Unlabeled Data	✅	❌	✅	✅	✅	❌	✅	5
Sample-specific Noise Injection for Diffusion-based Adversarial Purification	✅	✅	✅	✅	✅	✅	✅	7
Sampling Binary Data by Denoising through Score Functions	✅	❌	✅	❌	❌	❌	✅	3
Sampling from Binary Quadratic Distributions via Stochastic Localization	✅	✅	✅	❌	✅	❌	✅	5
Sanity Checking Causal Representation Learning on a Simple Real-World System	❌	✅	✅	✅	✅	❌	✅	5
Sassha: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation	✅	✅	✅	✅	❌	❌	✅	5
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search	✅	✅	✅	✅	❌	❌	✅	5
Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up	✅	✅	❌	✅	❌	❌	✅	4
Scalable Approximation Algorithms for $p$-Wasserstein Distance and Its Variants	❌	✅	❌	✅	✅	❌	✅	4
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation	✅	❌	✅	❌	✅	✅	✅	5
Scalable Equilibrium Sampling with Sequential Boltzmann Generators	✅	✅	✅	✅	✅	❌	✅	6
Scalable First-order Method for Certifying Optimal k-Sparse GLMs	✅	✅	✅	✅	✅	✅	✅	7
Scalable Gaussian Processes with Latent Kronecker Structure	❌	✅	✅	✅	✅	❌	✅	5
Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching	✅	✅	✅	✅	✅	✅	✅	7
Scalable Meta-Learning via Mixed-Mode Differentiation	✅	✅	❌	❌	✅	❌	✅	4
Scalable Model Merging with Progressive Layer-wise Distillation	✅	✅	✅	✅	❌	❌	✅	5
Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment	✅	✅	✅	✅	✅	❌	✅	6
Scalable Private Partition Selection via Adaptive Weighting	✅	❌	✅	❌	✅	❌	✅	4
Scalable Sobolev IPM for Probability Measures on a Graph	❌	✅	✅	✅	❌	❌	✅	4
Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks	❌	❌	✅	❌	✅	❌	✅	3
Scaling Inference-Efficient Language Models	❌	✅	✅	✅	✅	❌	✅	5
Scaling Large Motion Models with Million-Level Human Motions	❌	❌	✅	✅	✅	❌	✅	4
Scaling Laws for Differentially Private Language Models	✅	❌	✅	❌	✅	✅	✅	5
Scaling Laws for Floating–Point Quantization Training	❌	❌	✅	❌	❌	❌	✅	2
Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection	❌	❌	✅	❌	✅	❌	✅	3
Scaling Laws for Pre-training Agents and World Models	❌	❌	✅	✅	❌	❌	✅	3
Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream	❌	✅	✅	✅	❌	✅	✅	5
Scaling Laws for Upcycling Mixture-of-Experts Language Models	❌	✅	✅	✅	✅	✅	✅	6
Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More	❌	✅	✅	✅	✅	❌	✅	5
Scaling Probabilistic Circuits via Monarch Matrices	❌	✅	✅	✅	❌	❌	✅	4
Scaling Sparse Feature Circuits For Studying In-Context Learning	✅	❌	✅	✅	✅	❌	✅	5
Scaling Test-Time Compute Without Verification or RL is Suboptimal	✅	❌	✅	✅	❌	❌	✅	4
Scaling Trends in Language Model Robustness	✅	✅	✅	✅	❌	❌	✅	5
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning	❌	❌	✅	✅	✅	❌	✅	4
Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation	✅	✅	✅	✅	✅	❌	✅	6
Schwarz–Schur Involution: Lightspeed Differentiable Sparse Linear Solvers	✅	✅	✅	❌	✅	❌	✅	5
Score Matching with Missing Data	✅	✅	✅	❌	❌	❌	✅	4
Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport	✅	❌	✅	❌	✅	❌	✅	4
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows	✅	❌	✅	❌	❌	❌	✅	3
Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions	✅	✅	✅	❌	✅	❌	✅	5
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding	✅	✅	✅	✅	❌	❌	✅	5
Secant Line Search for Frank-Wolfe Algorithms	✅	✅	✅	❌	❌	✅	✅	5
Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games	✅	❌	❌	❌	❌	❌	✅	2
SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning	❌	❌	✅	❌	✅	❌	✅	3
Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation	✅	✅	✅	✅	✅	✅	✅	7
Selective Preference Aggregation	✅	✅	✅	✅	✅	✅	✅	7
Selective Prompt Anchoring for Code Generation	❌	✅	✅	✅	✅	❌	✅	5
Selective Response Strategies for GenAI	✅	❌	❌	❌	✅	❌	✅	3
Self-Bootstrapping for Versatile Test-Time Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Self-Consistency Preference Optimization	❌	❌	✅	✅	❌	❌	✅	3
Self-Consuming Generative Models with Adversarially Curated Data	✅	❌	✅	✅	❌	❌	✅	4
Self-Discriminative Modeling for Anomalous Graph Detection	✅	❌	✅	✅	✅	❌	✅	5
Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation	❌	❌	✅	❌	❌	❌	✅	2
Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI	✅	✅	✅	✅	✅	❌	✅	6
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges	✅	✅	❌	❌	❌	✅	✅	4
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning	✅	✅	✅	✅	❌	❌	✅	5
Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner’s Dilemma	✅	❌	❌	❌	✅	❌	✅	3
Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction	❌	✅	✅	✅	✅	❌	✅	5
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning	❌	❌	✅	✅	❌	❌	✅	3
Self-supervised Adversarial Purification for Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum	✅	❌	✅	✅	✅	✅	✅	6
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning	✅	✅	✅	❌	❌	❌	✅	4
Semantics-aware Test-time Adaptation for 3D Human Pose Estimation	❌	❌	✅	✅	❌	❌	✅	3
Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images	✅	❌	✅	✅	✅	❌	✅	5
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator	❌	✅	✅	❌	❌	❌	✅	3
Separating Knowledge and Perception with Procedural Data	❌	❌	✅	✅	✅	❌	✅	4
Set Valued Predictions For Robust Domain Generalization	✅	✅	✅	✅	❌	❌	✅	5
Settling the Maximin Share Fairness for Scheduling among Groups of Machines	✅	❌	❌	❌	❌	❌	❌	1
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference	✅	✅	✅	❌	✅	❌	✅	5
Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate	✅	❌	❌	✅	✅	❌	✅	4
Sharp Optimality of Simple, Plug-in Estimation of the Fisher Information of a Smoothed Density	❌	❌	❌	❌	❌	❌	❌	0
ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning	✅	✅	✅	❌	❌	❌	❌	3
Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency	✅	❌	✅	✅	✅	❌	✅	5
Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators	✅	✅	✅	✅	✅	❌	✅	6
Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts	❌	❌	✅	❌	✅	❌	✅	3
Should Decision-Makers Reveal Classifiers in Online Strategic Classification?	✅	❌	❌	❌	❌	❌	❌	1
Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN	✅	✅	✅	✅	✅	❌	✅	6
Signed Laplacians for Constrained Graph Clustering	✅	❌	✅	❌	✅	✅	✅	5
Simple Path Structural Encoding for Graph Transformers	✅	✅	✅	✅	❌	❌	✅	5
Simple Policy Optimization	✅	✅	✅	❌	❌	❌	✅	4
Simple Randomized Rounding for Max-Min Eigenvalue Augmentation	❌	❌	❌	❌	❌	❌	❌	0
Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation	❌	✅	✅	✅	❌	❌	✅	4
Simplicity Bias and Optimization Threshold in Two-Layer ReLU Networks	❌	✅	❌	❌	✅	❌	✅	3
Simplifying DINO via Coding Rate Regularization	✅	✅	✅	✅	❌	❌	✅	5
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models	✅	✅	✅	❌	✅	✅	✅	6
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery	✅	❌	❌	❌	❌	❌	✅	2
Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation	✅	✅	✅	✅	✅	❌	✅	6
SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation	❌	❌	✅	✅	✅	❌	✅	4
Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data	❌	✅	✅	❌	✅	❌	✅	4
SkipGPT: Each Token is One of a Kind	✅	✅	✅	❌	✅	❌	✅	5
Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation	✅	❌	✅	✅	✅	❌	✅	5
Sleeping Reinforcement Learning	✅	✅	❌	❌	❌	❌	✅	3
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
SlimLLM: Accurate Structured Pruning for Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling	✅	❌	✅	✅	✅	❌	✅	5
Smooth Interpolation for Improved Discrete Graph Generative Models	✅	✅	✅	✅	✅	❌	✅	6
Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences	❌	❌	✅	✅	✅	❌	✅	4
Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration	✅	✅	✅	✅	✅	❌	✅	6
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration	❌	❌	✅	✅	❌	❌	✅	3
Softmax is not Enough (for Sharp Size Generalisation)	✅	✅	✅	✅	✅	❌	✅	6
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo	✅	✅	✅	✅	❌	❌	✅	5
Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound	✅	✅	✅	✅	✅	❌	✅	6
Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits	✅	✅	✅	❌	✅	✅	✅	6
Solving Zero-Sum Convex Markov Games	✅	❌	❌	❌	❌	❌	✅	2
SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation	❌	✅	✅	✅	✅	❌	✅	5
Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model	✅	✅	✅	✅	✅	❌	✅	6
Sort Before You Prune: Improved Worst-Case Guarantees of the DiskANN Family of Graphs	✅	❌	✅	❌	✅	❌	✅	4
Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems	❌	✅	✅	✅	✅	❌	✅	5
Sounding that Object: Interactive Object-Aware Image to Audio Generation	❌	❌	✅	✅	❌	❌	✅	3
Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging	✅	❌	✅	❌	✅	❌	✅	4
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference	✅	✅	✅	❌	✅	❌	✅	5
Sparse Autoencoders for Hypothesis Generation	❌	✅	✅	✅	✅	✅	✅	6
Sparse Autoencoders, Again?	❌	✅	✅	❌	❌	❌	✅	3
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation	✅	❌	✅	✅	❌	❌	✅	4
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks	✅	✅	✅	✅	✅	✅	✅	7
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry	❌	❌	✅	✅	❌	❌	✅	3
Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity	✅	✅	✅	❌	✅	❌	✅	5
Sparse-pivot: Dynamic correlation clustering for node insertions	✅	❌	✅	✅	❌	❌	✅	4
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity	✅	❌	✅	✅	✅	❌	✅	5
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference	❌	✅	✅	✅	✅	✅	✅	6
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity	✅	✅	✅	✅	✅	❌	✅	6
Spatial Reasoning with Denoising Models	✅	✅	✅	❌	❌	❌	✅	4
SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs	✅	❌	✅	❌	✅	❌	✅	4
Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions	❌	✅	✅	✅	✅	❌	✅	5
Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification	✅	✅	✅	✅	✅	✅	✅	7
Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding	✅	✅	✅	❌	❌	❌	✅	4
Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation	✅	✅	✅	❌	✅	✅	✅	6
Speeding up Policy Simulation in Supply Chain RL	✅	✅	❌	❌	✅	❌	✅	4
Spherical-Nested Diffusion Model for Panoramic Image Outpainting	❌	✅	✅	✅	❌	❌	✅	4
SpikF: Spiking Fourier Network for Efficient Long-term Prediction	✅	✅	✅	✅	✅	❌	✅	6
SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcalO(T)$ Complexity	❌	✅	✅	✅	✅	❌	✅	5
Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution	✅	✅	✅	❌	❌	❌	✅	4
Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models	✅	✅	✅	❌	❌	❌	✅	4
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization	❌	✅	✅	✅	❌	❌	✅	4
Square$χ$PO: Differentially Private and Robust $χ^2$-Preference Optimization in Offline Direct Alignment	✅	❌	❌	✅	❌	❌	✅	3
Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness	✅	❌	❌	❌	❌	❌	❌	1
Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion	❌	❌	✅	✅	❌	✅	✅	4
Stabilizing Sample Similarity in Representation via Mitigating Random Consistency	✅	✅	✅	✅	✅	✅	✅	7
Stable Fair Graph Representation Learning with Lipschitz Constraint	✅	✅	✅	❌	❌	❌	✅	4
Stable Offline Value Function Learning with Bisimulation-based Representations	✅	❌	✅	❌	❌	❌	✅	3
Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization	✅	✅	✅	✅	❌	❌	✅	5
Staged and Physics-Grounded Learning Framework with Hyperintensity Prior for Pre-Contrast MRI Synthesis	❌	❌	❌	✅	✅	❌	✅	3
Star Attention: Efficient LLM Inference over Long Sequences	✅	✅	✅	✅	✅	❌	✅	6
Statistical Collusion by Collectives on Learning Platforms	✅	✅	❌	✅	❌	❌	✅	4
Statistical Hypothesis Testing for Auditing Robustness in Language Models	✅	✅	❌	❌	❌	❌	✅	3
Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise	❌	❌	❌	❌	❌	❌	❌	0
Statistical Test for Feature Selection Pipelines by Selective Inference	✅	✅	✅	✅	✅	❌	✅	6
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances	✅	❌	✅	✅	✅	❌	✅	5
Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning	✅	❌	✅	❌	✅	✅	✅	5
Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection	✅	✅	✅	✅	❌	❌	✅	5
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Stealix: Model Stealing via Prompt Evolution	✅	❌	✅	✅	✅	❌	✅	5
StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
Steer LLM Latents for Hallucination Detection	✅	✅	✅	✅	✅	✅	✅	7
Steerable Transformers for Volumetric Data	❌	✅	✅	✅	✅	❌	✅	5
Steering Protein Language Models	✅	✅	✅	✅	❌	❌	✅	5
Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design	✅	❌	✅	❌	✅	❌	✅	4
Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence	✅	❌	❌	❌	❌	❌	✅	2
Stochastic Deep Restoration Priors for Imaging Inverse Problems	✅	❌	✅	✅	❌	❌	✅	4
Stochastic Encodings for Active Feature Acquisition	✅	✅	✅	✅	✅	❌	✅	6
Stochastic Forward–Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets	✅	✅	✅	✅	❌	❌	✅	5
Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training	✅	✅	✅	✅	❌	❌	✅	5
Stochastic Online Conformal Prediction with Semi-Bandit Feedback	✅	❌	✅	❌	❌	❌	✅	3
Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes	❌	✅	✅	❌	✅	❌	✅	4
Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints	✅	❌	❌	❌	❌	❌	❌	1
Strategic A/B testing via Maximum Probability-driven Two-armed Bandit	✅	❌	❌	✅	❌	❌	✅	3
Strategic Planning: A Top-Down Approach to Option Generation	❌	✅	✅	❌	✅	❌	✅	4
Strategy Coopetition Explains the Emergence and Transience of In-Context Learning	❌	✅	✅	❌	❌	❌	✅	3
Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters	✅	✅	✅	✅	✅	❌	✅	6
Stream-level Flow Matching with Gaussian Processes	✅	✅	✅	✅	✅	❌	✅	6
Streamline Without Sacrifice - Squeeze out Computation Redundancy in LMM	❌	❌	✅	✅	✅	❌	✅	4
Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation	✅	✅	✅	✅	✅	✅	✅	7
Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models	✅	✅	✅	❌	✅	❌	✅	5
Stronger Neyman Regret Guarantees for Adaptive Experimental Design	✅	✅	✅	❌	❌	❌	✅	4
Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs	❌	✅	✅	✅	✅	✅	✅	6
Structure-Guided Large Language Models for Text-to-SQL Generation	❌	❌	✅	✅	❌	❌	❌	2
Structure-informed Risk Minimization for Robust Ensemble Learning	✅	✅	✅	✅	❌	❌	✅	5
Structured Preconditioners in Adaptive Optimization: A Unified Analysis	✅	❌	❌	❌	❌	❌	✅	2
Sub-Sequential Physics-Informed Learning with State Space Model	❌	✅	❌	❌	✅	✅	✅	4
Subgoal-Guided Policy Heuristic Search with Learned Subgoals	✅	✅	✅	✅	✅	✅	✅	7
Subgroups Matter for Robust Bias Mitigation	❌	✅	✅	❌	✅	❌	✅	4
Subobject-level Image Tokenization	❌	✅	✅	✅	✅	❌	✅	5
Subspace Optimization for Large Language Models with Convergence Guarantees	✅	✅	✅	❌	✅	❌	✅	5
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings	❌	✅	✅	✅	❌	❌	✅	4
Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups	✅	✅	✅	✅	✅	❌	✅	6
Sundial: A Family of Highly Capable Time Series Foundation Models	✅	✅	✅	❌	✅	❌	✅	5
Super Deep Contrastive Information Bottleneck for Multi-modal Clustering	✅	✅	✅	❌	❌	❌	✅	4
Supercharging Graph Transformers with Advective Diffusion	✅	✅	✅	✅	✅	✅	✅	7
Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching	❌	✅	✅	✅	✅	✅	✅	6
Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models	✅	✅	✅	✅	✅	❌	✅	6
Survival Analysis via Density Estimation	✅	✅	✅	✅	✅	✅	✅	7
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales	❌	✅	✅	❌	✅	✅	✅	5
Symmetry-Aware GFlowNets	❌	✅	✅	✅	✅	❌	✅	5
Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations	❌	❌	❌	❌	❌	✅	✅	2
Symmetry-Robust 3D Orientation Estimation	❌	✅	✅	✅	❌	❌	✅	4
SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation	❌	✅	✅	✅	✅	❌	✅	5
SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering	❌	✅	✅	✅	❌	✅	✅	5
Synonymous Variational Inference for Perceptual Image Compression	❌	✅	✅	✅	❌	❌	✅	4
Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability	❌	✅	✅	✅	✅	❌	✅	5
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs	✅	✅	✅	✅	✅	✅	✅	7
Synthesizing Software Engineering Data in a Test-Driven Manner	✅	✅	✅	✅	✅	❌	✅	6
Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion	✅	✅	✅	✅	✅	❌	✅	6
Synthetic Text Generation for Training Large Language Models via Gradient Matching	✅	✅	✅	❌	✅	❌	✅	5
System-Aware Unlearning Algorithms: Use Lesser, Forget Faster	✅	❌	✅	❌	❌	❌	❌	2
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling	❌	✅	✅	✅	❌	❌	✅	4
TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization	✅	✅	✅	❌	✅	✅	✅	6
TAROT: Targeted Data Selection via Optimal Transport	✅	✅	✅	✅	✅	❌	✅	6
TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness	✅	✅	✅	✅	✅	✅	✅	7
TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization	❌	✅	✅	❌	✅	❌	✅	4
TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation	✅	✅	✅	✅	❌	❌	✅	5
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation	❌	✅	✅	✅	✅	❌	✅	5
TLLC: Transfer Learning-based Label Completion for Crowdsourcing	✅	✅	✅	❌	❌	❌	✅	4
TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction	✅	✅	✅	✅	✅	❌	✅	6
TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference	✅	✅	✅	❌	✅	❌	✅	5
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation	✅	✅	✅	✅	✅	❌	✅	6
TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models	❌	❌	✅	❌	✅	❌	✅	3
TS-SNN: Temporal Shift Module for Spiking Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization	✅	❌	✅	✅	❌	❌	✅	4
TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer	✅	✅	✅	❌	❌	❌	✅	4
TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes	❌	❌	✅	✅	✅	❌	✅	4
TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments	❌	✅	✅	❌	✅	❌	✅	4
TabFlex: Scaling Tabular Learning to Millions with Linear Attention	✅	✅	✅	✅	✅	❌	✅	6
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data	❌	✅	✅	✅	✅	❌	✅	5
TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data	✅	❌	✅	✅	✅	✅	✅	6
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems	❌	✅	✅	✅	✅	❌	✅	5
TabSDS: a Lightweight, Fully Non-Parametric, and Model Free Approach for Generating Synthetic Tabular Data	✅	✅	✅	❌	✅	❌	✅	5
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation	❌	❌	✅	❌	❌	❌	✅	2
Tackling View-Dependent Semantics in 3D Language Gaussian Splatting	✅	✅	✅	❌	✅	❌	✅	5
Taming Diffusion for Dataset Distillation with High Representativeness	✅	✅	✅	✅	✅	❌	✅	6
Taming Knowledge Conflicts in Language Models	✅	✅	✅	✅	❌	❌	✅	5
Taming Rectified Flow for Inversion and Editing	✅	✅	✅	❌	❌	❌	✅	4
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion	✅	❌	✅	✅	❌	❌	✅	4
Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision	✅	❌	✅	✅	❌	❌	✅	4
Targeted Unlearning with Single Layer Unlearning Gradient	✅	✅	✅	✅	✅	❌	✅	6
Targeted control of fast prototyping through domain-specific interface	❌	✅	❌	❌	❌	❌	✅	2
Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks?	✅	✅	❌	✅	✅	❌	✅	5
Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner	✅	❌	✅	✅	✅	❌	✅	5
Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks	✅	✅	✅	✅	✅	❌	✅	6
Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion	❌	✅	✅	✅	✅	✅	✅	6
TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion	❌	❌	✅	❌	✅	❌	✅	3
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching	❌	✅	✅	✅	✅	❌	✅	5
Teaching Language Models to Critique via Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Teaching Physical Awareness to LLMs through Sounds	❌	❌	✅	❌	✅	❌	✅	3
Teaching Transformers Causal Reasoning through Axiomatic Training	❌	✅	✅	✅	✅	❌	✅	5
Telling Peer Direct Effects from Indirect Effects in Observational Network Data	✅	❌	✅	✅	❌	❌	✅	4
Temperature-Annealed Boltzmann Generators	❌	✅	✅	✅	✅	✅	✅	6
Temporal Difference Flows	✅	❌	✅	❌	❌	❌	✅	3
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Temporal Misalignment in ANN-SNN Conversion and its Mitigation via Probabilistic Spiking Neurons	✅	✅	✅	✅	✅	❌	✅	6
Temporal Query Network for Efficient Multivariate Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Tensor Decomposition Based Memory-Efficient Incremental Learning	❌	❌	✅	✅	❌	❌	✅	3
Tensor Product Neural Networks for Functional ANOVA Model	❌	✅	✅	✅	✅	❌	✅	5
Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation	✅	❌	✅	✅	✅	❌	✅	5
Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank	✅	❌	✅	✅	❌	❌	❌	3
Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning	✅	❌	✅	✅	✅	❌	✅	5
Test-Time Adaptation with Binary Feedback	✅	✅	✅	❌	✅	❌	✅	5
Test-Time Canonicalization by Foundation Models for Robust Perception	❌	✅	✅	❌	✅	✅	✅	5
Test-Time Graph Neural Dataset Search With Generative Projection	❌	❌	✅	✅	✅	❌	❌	3
Test-Time Learning for Large Language Models	✅	✅	✅	✅	✅	✅	✅	7
Test-Time Multimodal Backdoor Detection by Contrastive Prompting	✅	❌	✅	✅	✅	✅	✅	6
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback	❌	✅	✅	✅	❌	❌	✅	4
Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data	❌	✅	✅	❌	✅	❌	✅	4
Test-Time Training Provably Improves Transformers as In-context Learners	❌	❌	✅	✅	❌	❌	✅	3
Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes	✅	✅	✅	✅	✅	❌	✅	6
Test-time Adapted Reinforcement Learning with Action Entropy Regularization	✅	✅	✅	❌	❌	❌	✅	4
Test-time Correlation Alignment	✅	✅	✅	❌	❌	❌	✅	4
Testing Conditional Mean Independence Using Generative Neural Networks	✅	✅	✅	✅	❌	❌	✅	5
Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models	❌	❌	✅	✅	✅	✅	✅	5
Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Text-to-LoRA: Instant Transformer Adaption	❌	✅	✅	✅	✅	❌	✅	5
TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation	❌	✅	✅	✅	✅	❌	✅	5
Textual Unlearning Gives a False Sense of Unlearning	✅	❌	✅	❌	❌	❌	✅	3
Textural or Textual: How Vision-Language Models Read Text in Images	✅	✅	✅	✅	✅	❌	✅	6
The Batch Complexity of Bandit Pure Exploration	✅	❌	❌	❌	❌	❌	✅	2
The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models	❌	❌	✅	❌	❌	❌	❌	1
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph	✅	❌	✅	❌	✅	❌	✅	4
The Brain’s Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning	❌	❌	✅	✅	✅	❌	✅	4
The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions	❌	✅	✅	✅	✅	❌	✅	5
The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text	✅	✅	✅	❌	✅	❌	✅	5
The Case for Learned Provenance-based System Behavior Baseline	❌	✅	✅	✅	✅	❌	✅	5
The Complexity of Learning Sparse Superposed Features with Feedback	✅	✅	✅	❌	❌	❌	✅	4
The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning	✅	❌	✅	❌	✅	✅	✅	5
The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models	❌	✅	✅	✅	❌	❌	✅	4
The Diffusion Duality	✅	✅	✅	✅	✅	❌	✅	6
The Disparate Benefits of Deep Ensembles	❌	✅	✅	✅	✅	❌	✅	5
The Double-Ellipsoid Geometry of CLIP	❌	❌	✅	✅	❌	❌	❌	2
The Elicitation Game: Evaluating Capability Elicitation Techniques	❌	✅	✅	✅	✅	❌	✅	5
The Emperor’s New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination	❌	✅	✅	✅	✅	✅	✅	6
The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli	❌	❌	❌	❌	❌	❌	✅	1
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking	❌	❌	✅	✅	✅	❌	✅	4
The Four Color Theorem for Cell Instance Segmentation	✅	✅	✅	✅	✅	❌	✅	6
The Generalized Skew Spectrum of Graphs	✅	❌	✅	✅	❌	❌	✅	4
The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence	✅	✅	✅	✅	❌	❌	✅	5
The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations	❌	❌	✅	❌	❌	❌	✅	2
The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback	✅	❌	❌	❌	❌	❌	❌	1
The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions	✅	✅	✅	✅	✅	❌	✅	6
The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference	✅	✅	✅	✅	✅	✅	✅	7
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering	✅	✅	✅	✅	❌	❌	✅	5
The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them)	❌	❌	✅	✅	❌	❌	✅	3
The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks	❌	❌	✅	❌	✅	❌	✅	3
The Importance of Being Lazy: Scaling Limits of Continual Learning	❌	❌	✅	✅	✅	❌	✅	4
The Jailbreak Tax: How Useful are Your Jailbreak Outputs?	❌	✅	✅	❌	❌	❌	✅	3
The Limits of Predicting Agents from Behaviour	❌	❌	❌	❌	❌	❌	❌	0
The Limits of Tractable Marginalization	❌	❌	❌	❌	❌	❌	❌	0
The Lock-in Hypothesis: Stagnation by Algorithm	❌	✅	✅	❌	❌	❌	❌	2
The Logical Implication Steering Method for Conditional Interventions on Transformer Generation	✅	❌	✅	✅	❌	❌	✅	4
The Missing Alignment Link of In-context Learning on Sequences	✅	✅	✅	✅	❌	❌	✅	5
The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction	❌	❌	✅	❌	❌	❌	✅	2
The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes	✅	✅	❌	❌	❌	❌	✅	3
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning	❌	✅	✅	✅	❌	❌	✅	4
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret	✅	❌	❌	❌	❌	❌	❌	1
The Polynomial Stein Discrepancy for Assessing Moment Convergence	❌	✅	✅	❌	❌	❌	✅	3
The Power of Random Features and the Limits of Distribution-Free Gradient Descent	✅	❌	❌	❌	❌	❌	❌	1
The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products	✅	✅	✅	❌	✅	✅	✅	6
The Price of Linear Time: Error Analysis of Structured Kernel Interpolation	❌	❌	❌	❌	❌	❌	✅	1
The Relationship Between No-Regret Learning and Online Conformal Prediction	✅	❌	✅	✅	❌	❌	✅	4
The Ripple Effect: On Unforeseen Complications of Backdoor Attacks	❌	✅	✅	✅	❌	❌	✅	4
The Role of Randomness in Stability	✅	❌	❌	❌	❌	❌	❌	1
The Role of Sparsity for Length Generalization in LLMs	❌	❌	✅	✅	❌	❌	✅	3
The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability	✅	❌	❌	❌	❌	❌	❌	1
The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training	❌	✅	✅	❌	✅	❌	✅	4
The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport	✅	✅	✅	❌	✅	✅	✅	6
The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training	❌	✅	✅	❌	✅	❌	✅	4
The Surprising Effectiveness of Test-Time Training for Few-Shot Learning	❌	✅	✅	✅	✅	✅	✅	6
The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data	❌	❌	✅	✅	✅	❌	✅	4
The Underlying Universal Statistical Structure of Natural Datasets	❌	❌	✅	❌	❌	❌	❌	1
The Value of Prediction in Identifying the Worst-Off	❌	❌	✅	✅	❌	❌	✅	3
The dark side of the forces: assessing non-conservative force models for atomistic machine learning	❌	✅	✅	✅	✅	✅	✅	6
The impact of uncertainty on regularized learning in games	❌	❌	❌	❌	❌	❌	❌	0
The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training	❌	✅	✅	❌	❌	❌	✅	3
Theoretical Limitations of Ensembles in the Age of Overparameterization	❌	✅	✅	✅	❌	❌	✅	4
Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport	❌	✅	✅	❌	❌	❌	✅	3
Theoretical guarantees on the best-of-n alignment policy	❌	❌	✅	❌	❌	❌	❌	1
Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models	✅	❌	✅	✅	✅	❌	✅	5
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos	✅	✅	❌	✅	❌	❌	✅	4
Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks	❌	❌	❌	✅	✅	✅	✅	4
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization	✅	❌	✅	✅	✅	✅	✅	6
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making	✅	❌	✅	✅	❌	❌	✅	4
Thinking LLMs: General Instruction Following with Thought Generation	❌	❌	✅	✅	❌	❌	✅	3
Three-Dimensional Trajectory Prediction with 3DMoTraj Dataset	❌	✅	✅	✅	✅	❌	✅	5
Tight and Fast Bounds for Multi-Label Learning	❌	❌	❌	❌	❌	❌	❌	0
Tightening Causal Bounds via Covariate-Aware Optimal Transport	✅	✅	✅	✅	❌	❌	✅	5
Tilted Sharpness-Aware Minimization	✅	✅	✅	❌	❌	❌	✅	4
Time Series Representations with Hard-Coded Invariances	❌	✅	✅	✅	✅	❌	✅	5
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time	❌	❌	✅	❌	❌	❌	✅	2
Time-Aware World Model for Adaptive Prediction and Control	✅	✅	✅	❌	✅	❌	✅	5
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting	❌	✅	✅	✅	❌	✅	✅	5
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation	❌	✅	✅	✅	✅	❌	✅	5
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning	❌	✅	✅	✅	✅	❌	✅	5
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state	❌	✅	✅	✅	✅	❌	✅	5
TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting	✅	❌	✅	✅	✅	✅	✅	6
TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision	❌	❌	✅	✅	✅	❌	✅	4
TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging	❌	❌	✅	✅	✅	❌	✅	4
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers	✅	✅	✅	✅	❌	❌	✅	5
To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models	❌	❌	✅	✅	✅	❌	✅	4
ToMA: Token Merge with Attention for Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning	✅	❌	✅	✅	❌	❌	✅	4
Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning	✅	✅	✅	✅	✅	❌	✅	6
Token Coordinated Prompt Attention is Needed for Visual Prompting	❌	✅	✅	✅	❌	❌	✅	4
Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation	✅	❌	✅	❌	✅	❌	✅	4
Tokenized Bandit for LLM Decoding and Alignment	✅	❌	✅	❌	❌	❌	✅	3
Tool Unlearning for Tool-Augmented LLMs	❌	❌	✅	✅	✅	❌	✅	4
TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration	❌	❌	✅	✅	✅	❌	✅	4
TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Topological Signatures of Adversaries in Multimodal Alignments	✅	❌	✅	✅	✅	❌	✅	5
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph	✅	❌	✅	✅	✅	✅	✅	6
Topology-aware Neural Flux Prediction Guided by Physics	❌	✅	✅	❌	❌	❌	❌	2
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach	✅	❌	✅	✅	✅	✅	✅	6
Toward Efficient Kernel-Based Solvers for Nonlinear PDEs	❌	✅	❌	❌	✅	❌	✅	3
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage	❌	✅	✅	✅	❌	❌	✅	4
Toward a Unified Theory of Gradient Descent under Generalized Smoothness	✅	❌	❌	❌	❌	✅	✅	3
Towards Attributions of Input Variables in a Coalition	❌	❌	✅	❌	❌	❌	❌	1
Towards Better-than-2 Approximation for Constrained Correlation Clustering	✅	❌	❌	❌	❌	❌	❌	1
Towards Black-Box Membership Inference Attack for Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Towards Cost-Effective Reward Guided Text Generation	✅	✅	✅	❌	✅	✅	✅	6
Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification	✅	❌	✅	✅	❌	❌	✅	4
Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees	❌	✅	✅	✅	❌	❌	✅	4
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond	✅	✅	✅	✅	❌	❌	✅	5
Towards Learning to Complete Anything in Lidar	❌	❌	✅	✅	✅	❌	✅	4
Towards Lifelong Model Editing via Simulating Ideal Editor	✅	❌	✅	✅	❌	❌	✅	4
Towards Memorization Estimation: Fast, Formal and Free	❌	✅	✅	❌	❌	❌	✅	3
Towards Practical Defect-Focused Automated Code Review	✅	✅	✅	❌	✅	❌	✅	5
Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration	❌	❌	✅	✅	❌	❌	✅	3
Towards Robust Influence Functions with Flat Validation Minima	✅	✅	✅	✅	❌	❌	✅	5
Towards Robustness and Explainability of Automatic Algorithm Selection	❌	✅	✅	✅	❌	❌	✅	4
Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback	❌	❌	❌	❌	❌	❌	❌	0
Towards Trustworthy Federated Learning with Untrusted Participants	✅	❌	✅	✅	❌	❌	✅	4
Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks	❌	❌	✅	❌	❌	❌	✅	2
Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis	✅	✅	✅	✅	❌	❌	✅	5
Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis	❌	✅	❌	❌	❌	❌	✅	2
Towards Understanding Parametric Generalized Category Discovery on Graphs	✅	❌	✅	✅	✅	✅	✅	6
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings	❌	✅	✅	✅	❌	❌	✅	4
Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation	❌	✅	✅	❌	✅	✅	❌	4
Towards a Formal Theory of Representational Compositionality	✅	✅	✅	✅	❌	❌	✅	5
Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer	❌	✅	✅	✅	✅	❌	✅	5
Towards a Mechanistic Explanation of Diffusion Model Generalization	❌	✅	✅	❌	❌	❌	✅	3
Towards a Unified Framework of Clustering-based Anomaly Detection	✅	✅	✅	❌	❌	❌	✅	4
Towards an Explainable Comparison and Alignment of Feature Embeddings	✅	❌	✅	❌	✅	❌	✅	4
Towards characterizing the value of edge embeddings in Graph Neural Networks	❌	❌	✅	❌	✅	❌	✅	3
Towards flexible perception with visual memory	❌	✅	✅	✅	❌	❌	✅	4
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models	✅	❌	✅	✅	❌	❌	✅	4
Towards the Causal Complete Cause of Multi-Modal Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift	✅	❌	✅	✅	❌	❌	✅	4
TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction	❌	✅	✅	✅	✅	✅	✅	6
Tracking Most Significant Shifts in Infinite-Armed Bandits	✅	❌	❌	❌	❌	❌	❌	1
Tracking The Best Expert Privately	✅	❌	❌	❌	❌	❌	❌	1
Tractable Transformers for Flexible Conditional Generation	✅	✅	✅	❌	❌	❌	✅	4
Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions	✅	❌	✅	✅	❌	❌	✅	4
Training Deep Learning Models with Norm-Constrained LMOs	✅	✅	✅	✅	✅	❌	✅	6
Training Diffusion-based Generative Models with Limited Data	❌	✅	✅	✅	✅	❌	✅	5
Training Dynamics of In-Context Learning in Linear Attention	❌	✅	❌	❌	❌	❌	❌	1
Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra	❌	✅	✅	✅	✅	❌	✅	5
Training High Performance Spiking Neural Network by Temporal Model Calibration	❌	✅	✅	✅	❌	❌	✅	4
Training Software Engineering Agents and Verifiers with SWE-Gym	✅	✅	✅	✅	✅	❌	✅	6
Training a Generally Curious Agent	✅	✅	✅	✅	✅	❌	✅	6
Trajectory Inference with Smooth Schrödinger Bridges	✅	✅	✅	✅	✅	❌	✅	6
Trajectory World Models for Heterogeneous Environments	✅	✅	✅	✅	✅	❌	✅	6
TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation	❌	✅	✅	✅	✅	✅	✅	6
Transfer Learning for Nonparametric Contextual Dynamic Pricing	✅	✅	✅	✅	❌	❌	✅	5
Transfer Q-Learning with Composite MDP Structures	✅	❌	❌	❌	❌	❌	❌	1
Transformative or Conservative? Conservation laws for ResNets and Transformers	❌	✅	✅	✅	❌	❌	✅	4
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation	❌	✅	✅	❌	✅	❌	✅	4
Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries	✅	✅	✅	✅	✅	❌	✅	6
Tree-Sliced Wasserstein Distance with Nonlinear Projection	✅	✅	✅	❌	✅	❌	✅	5
Tree-Sliced Wasserstein Distance: A Geometric Perspective	✅	❌	✅	❌	✅	❌	✅	4
TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree	✅	✅	✅	✅	✅	❌	✅	6
Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints	✅	❌	✅	❌	❌	❌	✅	3
Trust-Region Twisted Policy Improvement	✅	✅	✅	❌	✅	✅	✅	6
Trusted Multi-View Classification with Expert Knowledge Constraints	❌	✅	✅	✅	✅	❌	✅	5
Trustworthy Machine Learning through Data-Specific Indistinguishability	✅	❌	✅	❌	❌	❌	✅	3
TruthFlow: Truthful LLM Generation via Representation Flow Correction	✅	❌	✅	✅	✅	✅	✅	6
TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack	✅	✅	✅	❌	✅	✅	✅	6
TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs	✅	✅	✅	✅	❌	❌	✅	5
Tuning LLM Judge Design Decisions for 1/1000 of the Cost	❌	✅	✅	✅	✅	❌	✅	5
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization	✅	✅	✅	❌	❌	❌	✅	4
Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations	❌	✅	✅	✅	❌	✅	✅	5
TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories	✅	✅	✅	✅	❌	✅	❌	5
UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning	✅	✅	✅	✅	❌	❌	✅	5
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models	✅	✅	✅	❌	❌	❌	✅	4
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction	❌	❌	✅	❌	✅	❌	❌	2
UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent	❌	✅	✅	✅	❌	❌	✅	4
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion	✅	✅	✅	❌	✅	❌	✅	5
Ultra-Resolution Adaptation with Ease	❌	✅	✅	✅	✅	❌	✅	5
UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance	✅	✅	✅	✅	✅	❌	✅	6
UnHiPPO: Uncertainty-aware Initialization for State Space Models	❌	✅	✅	❌	❌	❌	✅	3
Unbiased Evaluation of Large Language Models from a Causal Perspective	❌	❌	✅	❌	❌	❌	✅	2
Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning	✅	✅	✅	✅	✅	❌	✅	6
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model	❌	✅	✅	✅	✅	❌	✅	5
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory	✅	✅	✅	✅	✅	❌	✅	6
Uncertainty Quantification for LLM-Based Survey Simulations	✅	✅	✅	✅	❌	❌	✅	5
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos	✅	✅	✅	✅	✅	❌	✅	6
Unconstrained Robust Online Convex Optimization	✅	❌	❌	❌	❌	❌	❌	1
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning	❌	✅	✅	✅	✅	❌	✅	5
Understanding Chain-of-Thought in LLMs through Information Theory	❌	❌	✅	✅	❌	❌	❌	2
Understanding Complexity in VideoQA via Visual Program Generation	✅	✅	✅	✅	❌	✅	✅	6
Understanding Fixed Predictions via Confined Regions	❌	✅	✅	✅	✅	✅	✅	6
Understanding Generalization in Quantum Machine Learning with Margins	❌	❌	✅	✅	❌	❌	✅	3
Understanding High-Dimensional Bayesian Optimization	❌	❌	✅	❌	❌	✅	✅	3
Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity	❌	❌	❌	✅	❌	❌	✅	2
Understanding Mode Connectivity via Parameter Space Symmetry	❌	❌	❌	❌	❌	❌	❌	0
Understanding Model Ensemble in Transferable Adversarial Attack	❌	❌	✅	❌	❌	❌	✅	2
Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts	✅	✅	✅	✅	❌	❌	✅	5
Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach	❌	✅	✅	❌	❌	❌	✅	3
Understanding Nonlinear Implicit Bias via Region Counts in Input Space	✅	✅	✅	❌	✅	❌	✅	5
Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods	❌	✅	✅	✅	✅	❌	✅	5
Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More	❌	✅	✅	❌	❌	❌	✅	3
Understanding Synthetic Context Extension via Retrieval Heads	❌	❌	✅	✅	✅	❌	✅	4
Understanding and Improving Length Generalization in Recurrent Models	✅	❌	✅	✅	❌	❌	✅	4
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data	✅	✅	✅	✅	❌	❌	✅	5
Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes	✅	✅	✅	❌	❌	❌	✅	4
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models	❌	✅	✅	✅	❌	❌	✅	4
Understanding the Emergence of Multimodal Representation Alignment	❌	✅	✅	✅	❌	❌	✅	4
Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters	❌	❌	✅	❌	❌	❌	✅	2
Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra	❌	❌	❌	❌	❌	❌	❌	0
Understanding the Limits of Deep Tabular Methods with Temporal Shift	❌	✅	✅	✅	❌	❌	✅	4
Understanding the Logic of Direct Preference Alignment through Logic	✅	✅	✅	✅	❌	❌	✅	5
Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism	❌	✅	✅	❌	❌	❌	❌	2
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees	✅	✅	✅	❌	❌	❌	✅	4
Understanding the Unfairness in Network Quantization	❌	❌	✅	✅	✅	✅	✅	5
Understanding the difficulties of posterior predictive estimation	✅	❌	✅	✅	✅	❌	✅	5
UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control	✅	✅	✅	✅	✅	❌	✅	6
UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation	❌	❌	✅	✅	✅	❌	✅	4
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation	✅	✅	✅	✅	✅	❌	✅	6
UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design	✅	✅	✅	✅	❌	❌	✅	5
UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules	❌	✅	✅	✅	✅	❌	✅	5
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Unified Analysis of Continuous Weak Features Learning with Applications to Learning from Missing Data	❌	✅	✅	✅	❌	❌	✅	4
Unified Breakdown Analysis for Byzantine Robust Gossip	✅	✅	✅	❌	❌	❌	✅	4
Unified K-Means Clustering with Label-Guided Manifold Learning	✅	❌	✅	❌	✅	✅	✅	5
Unified Screening for Multiple Diseases	❌	✅	❌	❌	❌	❌	✅	2
Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means	✅	❌	❌	❌	❌	❌	❌	1
Unifying 2D and 3D Vision-Language Understanding	❌	✅	✅	✅	✅	❌	✅	5
Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach	❌	❌	✅	✅	✅	✅	✅	5
Unifying Specialized Visual Encoders for Video Language Models	❌	✅	✅	✅	✅	❌	✅	5
Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers	❌	✅	✅	✅	✅	❌	✅	5
Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems	❌	✅	✅	✅	✅	✅	✅	6
Universal Approximation Theorem of Deep Q-Networks	❌	❌	❌	❌	❌	❌	✅	1
Universal Approximation of Mean-Field Models via Transformers	❌	✅	✅	✅	❌	❌	✅	4
Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing	❌	✅	✅	✅	✅	❌	✅	5
Universal Length Generalization with Turing Programs	✅	❌	❌	❌	❌	❌	✅	2
Universal Neural Optimal Transport	✅	✅	✅	❌	✅	❌	✅	5
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment	✅	✅	✅	✅	✅	❌	✅	6
Unlocking Post-hoc Dataset Inference with Synthetic Data	✅	✅	✅	✅	❌	❌	✅	5
Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection	❌	✅	✅	✅	✅	❌	✅	5
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective	✅	❌	✅	✅	✅	❌	✅	5
Unlocking the Power of SAM 2 for Few-Shot Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Unnatural Languages Are Not Bugs but Features for LLMs	✅	✅	✅	✅	❌	❌	✅	5
Unpaired Point Cloud Completion via Unbalanced Optimal Transport	✅	✅	✅	❌	❌	❌	✅	4
Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments	✅	✅	❌	❌	❌	❌	✅	3
Unsupervised Learning for Class Distribution Mismatch	✅	✅	✅	✅	❌	✅	✅	6
Unveiling AI’s Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors	❌	✅	✅	✅	✅	❌	✅	5
Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning	❌	❌	✅	❌	✅	✅	✅	4
Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities	❌	❌	✅	✅	✅	❌	✅	4
Update Your Transformer to the Latest Release: Re-Basin of Task Vectors	✅	✅	✅	✅	❌	❌	✅	5
Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting	✅	✅	✅	✅	✅	✅	✅	7
VCT: Training Consistency Models with Variational Noise Coupling	✅	✅	✅	❌	✅	❌	✅	5
VIP: Vision Instructed Pre-training for Robotic Manipulation	❌	❌	✅	❌	✅	❌	✅	3
VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians	❌	✅	✅	❌	✅	❌	✅	4
Validating Mechanistic Interpretations: An Axiomatic Approach	✅	✅	❌	✅	✅	✅	✅	6
Value-Based Deep RL Scales Predictably	❌	❌	✅	❌	❌	❌	✅	2
Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models	❌	❌	✅	✅	✅	❌	✅	4
Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations	❌	❌	✅	❌	✅	❌	✅	3
Variational Control for Guidance in Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Variational Counterfactual Intervention Planning to Achieve Target Outcomes	✅	✅	✅	✅	❌	❌	✅	5
Variational Learning of Fractional Posteriors	❌	✅	✅	✅	✅	❌	✅	5
Variational Phylogenetic Inference with Products over Bipartitions	✅	✅	✅	❌	✅	❌	✅	5
Variational Rectified Flow Matching	✅	❌	✅	❌	❌	❌	✅	3
Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision	❌	✅	✅	✅	✅	❌	✅	5
VerbalTS: Generating Time Series from Texts	✅	✅	✅	✅	❌	❌	✅	5
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible	✅	✅	✅	❌	✅	❌	✅	5
VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data	✅	✅	✅	✅	❌	❌	✅	5
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy	❌	✅	✅	❌	✅	❌	✅	4
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations	❌	✅	✅	✅	✅	❌	✅	5
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach	✅	✅	✅	❌	❌	❌	✅	4
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models	❌	❌	✅	✅	✅	❌	✅	4
VideoRoPE: What Makes for Good Video Rotary Position Embedding?	❌	✅	✅	❌	✅	❌	✅	4
VinePPO: Refining Credit Assignment in RL Training of LLMs	❌	✅	✅	✅	✅	❌	✅	5
Vintix: Action Model via In-Context Reinforcement Learning	✅	❌	✅	✅	✅	❌	✅	5
Vision Graph Prompting via Semantic Low-Rank Decomposition	❌	✅	✅	✅	❌	❌	✅	4
Vision-Language Model Selection and Reuse for Downstream Adaptation	✅	✅	✅	❌	✅	❌	✅	5
Vision-Language Models Create Cross-Modal Task Representations	✅	❌	✅	✅	❌	❌	✅	4
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters	❌	✅	✅	✅	✅	❌	✅	5
Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval	❌	✅	✅	✅	✅	✅	✅	6
Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Visual Autoregressive Modeling for Image Super-Resolution	❌	✅	✅	✅	✅	❌	✅	5
Visual Generation Without Guidance	✅	✅	✅	✅	✅	❌	✅	6
Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models	❌	❌	✅	✅	✅	❌	✅	4
Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning	❌	✅	✅	❌	❌	❌	❌	2
Volume Optimality in Conformal Prediction with Structured Prediction Sets	✅	❌	✅	✅	❌	✅	✅	5
Volume-Aware Distance for Robust Similarity Learning	✅	❌	✅	✅	✅	❌	✅	5
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning	✅	✅	✅	✅	✅	✅	✅	7
Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning	✅	✅	✅	✅	✅	❌	✅	6
WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales	✅	✅	✅	✅	❌	❌	✅	5
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction	❌	✅	✅	✅	✅	❌	✅	5
WILTing Trees: Interpreting the Distance Between MPNN Embeddings	✅	✅	✅	✅	❌	❌	✅	5
WMAdapter: Adding WaterMark Control to Latent Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving	❌	✅	✅	✅	✅	✅	✅	6
Wait-Less Offline Tuning and Re-solving for Online Decision Making	✅	✅	❌	❌	❌	❌	✅	3
Wasserstein Flow Matching: Generative Modeling Over Families of Distributions	✅	✅	✅	❌	✅	❌	✅	5
Wasserstein Policy Optimization	✅	✅	✅	❌	❌	❌	✅	4
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
WeGeFT: Weight-Generative Fine-Tuning for Multi-Faceted Efficient Adaptation of Large Models	❌	✅	✅	✅	✅	❌	✅	5
Weak-to-Strong Generalization Even in Random Feature Networks, Provably	❌	❌	❌	❌	✅	❌	✅	2
Weak-to-Strong Jailbreaking on Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
Weakly Supervised Anomaly Detection via Dual-Tailed Kernel	✅	❌	✅	✅	✅	❌	✅	5
Weakly-Supervised Contrastive Learning for Imprecise Class Labels	✅	✅	✅	✅	❌	❌	✅	5
Weight matrices compression based on PDB model in deep neural networks	✅	✅	✅	✅	✅	❌	✅	6
Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win	❌	✅	✅	❌	✅	❌	✅	4
What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning?	✅	❌	✅	❌	❌	❌	✅	3
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models	❌	✅	❌	✅	✅	❌	✅	4
What If We Recaption Billions of Web Images with LLaMA-3?	❌	❌	✅	✅	✅	❌	✅	4
What Limits Bidirectional Model’s Generative Capabilities? A Uni-Bi-Directional Mixture-of-Expert Method For Bidirectional Fine-tuning	❌	✅	✅	❌	✅	❌	✅	4
What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities	❌	❌	✅	❌	✅	✅	✅	4
What Makes In-context Learning Effective for Mathematical Reasoning	✅	✅	✅	✅	✅	❌	✅	6
What Makes a Good Feedforward Computational Graph?	✅	❌	✅	❌	❌	❌	✅	3
What can large language models do for sustainable food?	✅	✅	✅	❌	❌	❌	✅	4
What makes an Ensemble (Un) Interpretable?	✅	❌	❌	❌	❌	❌	❌	1
When Bad Data Leads to Good Models	❌	❌	✅	✅	✅	❌	✅	4
When Can Proxies Improve the Sample Complexity of Preference Learning?	❌	❌	❌	✅	❌	❌	✅	2
When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need	✅	✅	✅	❌	✅	❌	✅	5
When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets	❌	❌	❌	❌	❌	❌	✅	1
When Do LLMs Help With Node Classification? A Comprehensive Analysis	❌	✅	✅	✅	✅	❌	✅	5
When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration	❌	❌	✅	✅	✅	❌	✅	4
When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network	❌	✅	✅	❌	✅	❌	✅	4
When Maximum Entropy Misleads Policy Optimization	✅	❌	✅	❌	❌	❌	✅	3
When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class	✅	❌	✅	❌	✅	✅	✅	5
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series	❌	✅	✅	❌	✅	❌	✅	4
When and How Does CLIP Enable Domain and Compositional Generalization?	✅	✅	✅	✅	✅	❌	✅	6
When can in-context learning generalize out of task distribution?	❌	✅	❌	❌	✅	❌	✅	3
When do neural networks learn world models?	❌	❌	❌	✅	✅	❌	✅	3
When to Forget? Complexity Trade-offs in Machine Unlearning	✅	❌	✅	✅	❌	❌	✅	4
When to retrain a machine learning model	❌	❌	✅	✅	✅	❌	✅	4
When, Where and Why to Average Weights?	✅	✅	✅	✅	✅	❌	✅	6
Where is the Truth? The Risk of Getting Confounded in a Continual World	❌	✅	✅	✅	✅	❌	✅	5
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems	✅	✅	✅	❌	❌	❌	✅	4
Which Attention Heads Matter for In-Context Learning?	❌	✅	✅	✅	❌	❌	✅	4
Whitened CLIP as a Likelihood Surrogate of Images and Captions	✅	✅	✅	✅	❌	❌	❌	4
Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors	✅	✅	✅	✅	✅	✅	✅	7
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?	❌	❌	✅	✅	✅	❌	✅	4
Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas	❌	✅	✅	✅	❌	❌	✅	4
Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg	❌	✅	✅	✅	❌	❌	✅	4
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs	❌	✅	✅	✅	✅	❌	✅	5
WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training	❌	✅	✅	❌	✅	❌	✅	4
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale	❌	❌	✅	❌	✅	❌	✅	3
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
World Model Implanting for Test-time Adaptation of Embodied Agents	✅	❌	✅	❌	❌	✅	✅	4
WorldSimBench: Towards Video Generation Models as World Simulators	❌	❌	✅	✅	✅	❌	✅	4
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices	✅	✅	✅	✅	❌	❌	✅	5
Wyckoff Transformer: Generation of Symmetric Crystals	✅	✅	✅	✅	✅	❌	✅	6
WyckoffDiff – A Generative Diffusion Model for Crystal Symmetry	✅	✅	✅	✅	✅	❌	✅	6
X-Hacking: The Threat of Misguided AutoML	❌	✅	✅	✅	✅	❌	✅	5
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP	✅	✅	✅	❌	❌	❌	✅	4
XAttention: Block Sparse Attention with Antidiagonal Scoring	✅	✅	✅	❌	✅	❌	✅	5
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention	❌	❌	✅	✅	❌	❌	✅	3
You Always Recognize Me (YARM): Robust Texture Synthesis Against Multi-View Corruption	✅	❌	✅	✅	✅	❌	✅	5
You Get What You Give: Reciprocally Fair Federated Learning	✅	❌	✅	✅	✅	❌	✅	5
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs	❌	✅	❌	✅	✅	❌	✅	4
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning	✅	❌	✅	❌	❌	❌	✅	3
Zero Shot Generalization of Vision-Based RL Without Data Augmentation	✅	❌	✅	✅	❌	❌	✅	4
Zero-Inflated Bandits	✅	❌	✅	❌	✅	❌	✅	4
Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models	❌	❌	✅	❌	✅	❌	✅	3
Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints	✅	✅	✅	✅	✅	✅	✅	7
Zero-Shot Generalization of GNNs over Distinct Attribute Domains	✅	✅	✅	✅	✅	❌	✅	6
Zero-Shot Offline Imitation Learning via Optimal Transport	✅	✅	✅	❌	✅	❌	✅	5
Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer	❌	✅	✅	✅	✅	❌	✅	5
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think	✅	❌	✅	✅	❌	❌	✅	4
ZipAR: Parallel Autoregressive Image Generation through Spatial Locality	❌	❌	✅	❌	✅	❌	✅	3
am-ELO: A Stable Framework for Arena-based LLM Evaluation	✅	✅	✅	❌	❌	❌	✅	4
any4: Learned 4-bit Numeric Representation for LLMs	✅	✅	✅	✅	✅	✅	✅	7
e-GAI: e-value-based Generalized $α$-Investing for Online False Discovery Rate Control	✅	✅	✅	✅	❌	✅	✅	6
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection	❌	✅	✅	❌	✅	❌	✅	4
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs	❌	✅	✅	✅	❌	❌	✅	4
polybasic Speculative Decoding Through a Theoretical Perspective	✅	✅	✅	✅	✅	❌	✅	6
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking	❌	✅	✅	❌	✅	❌	✅	4
scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data	❌	✅	✅	✅	❌	❌	✅	4
sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning	❌	✅	✅	✅	❌	❌	✅	4
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model	❌	✅	✅	❌	✅	❌	✅	4
xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference	❌	✅	✅	❌	✅	✅	✅	5