reproducibilityindex.ai

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 [1].

International Conference on Machine Learning (ICML) - 2025

Website:

Venue	Year	Papers	Reproducibility Score Reproducibility Score based on Gundersen et al. (2025)	Documentation Score Global mean is the average score over the seven reproducibility variables for empirical research papers.	% 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