ICLR 2026 Accepted Papers
The full list of 5,356 papers accepted at ICLR 2026 (International Conference on Learning Representations). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.
Poster: 5,118Oral: 223ICLR 2026 ConditionalPoster: 14ICLR 2026 ConditionalOral: 1
- $AutoDrive\text{-}P^3$: Unified Chain of Perception–Prediction–Planning Thought via Reinforcement Fine-TuningPoster
- $PhyWorldBench$: A Comprehensive Evaluation of Physical Realism in Text-to-Video ModelsOral
- $\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ DivergencePoster
- $\boldsymbol{\partial^\infty}$-Grid: A Neural Differential Equation Solver with Differentiable Feature GridsPoster
- $\ell_1$ Latent Distance based Continuous-time Graph RepresentationPoster
- $\mathbf{Li_2}$: A Framework on Dynamics of Feature Emergence and Delayed GeneralizationPoster
- $\mu$LO: Compute-Efficient Meta-Generalization of Learned OptimizersPoster
- $\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Textual SpacePoster
- $\pi^3$: Permutation-Equivariant Visual Geometry LearningPoster
- $\textbf{Re}^{2}$: Unlocking LLM Reasoning via Reinforcement Learning with Re-solvingPoster
- $\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image GenerationPoster
- $p\textrm{-less}$ Sampling: A Robust Hyperparameter-Free Approach for LLM DecodingOral
- (Token-Level) \textbf{InfoRMIA}: Stronger Membership Inference and Privacy Assessment for LLMsPoster
- (U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEsPoster
- **TandemFoilSet**: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single AirfoilsPoster
- 3D Aware Region Prompted Vision Language ModelPoster
- 3D Scene Prompting for Scene-Consistent Camera-Controllable Video GenerationPoster
- 3D-aware Disentangled Representation for Compositional Reinforcement LearningPoster
- 3DCS: Datasets and Benchmark for Evaluating Conformational Sensitivity in Molecular RepresentationsPoster
- 3DGEER: 3D Gaussian Rendering Made Exact and Efficient for Generic CamerasPoster
- 3DSMT: A Hybrid Spiking Mamba-Transformer for Point Cloud AnalysisPoster
- <SO$G_k$>: One LLM Token for Explicit Graph Structural UnderstandingPoster
- A Balanced Neuro-Symbolic Approach for Commonsense Abductive LogicPoster
- A Bayesian Nonparametric Framework For Learning Disentangled RepresentationsPoster
- A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data SynthesisPoster
- A Benchmark for Deep Information SynthesisPoster
- A Biologically Plausible Dense Associative Memory with Exponential CapacityPoster
- A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality ConstraintsPoster
- A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning across Broad Atlases and DisordersPoster
- A Brain-Inspired Gating Mechanism Unlocks Robust Computation in Spiking Neural NetworksPoster
- A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual DecodingPoster
- A Comprehensive Information-Decomposition Analysis of Large Vision-Language ModelsPoster
- A Convergence Analysis of Adaptive Optimizers under Floating-point QuantizationPoster
- A Dense Subset Index for Collective Query CoveragePoster
- A Derandomization Framework for Structure Discovery: Applications in Neural Networks and BeyondPoster
- A Fair Bayesian Inference through Matched Gibbs PosteriorPoster
- A Fano-Style Accuracy Upper Bound for LLM Single-Pass Reasoning in Multi-Hop QAPoster
- A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of ComponentsPoster
- A Fictional Q&A Dataset for Studying Memorization and Knowledge AcquisitionPoster
- A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice ExperimentsPoster
- A Function-Centric Graph Neural Network Approach for Predicting Electron DensitiesPoster
- A General Framework for Black-Box Attacks Under Cost AsymmetryPoster
- A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual ForecastingPoster
- A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional DataPoster
- A Genetic Algorithm for Navigating Synthesizable Molecular SpacesPoster
- A Graph Meta-Network for Learning on Kolmogorov–Arnold NetworksPoster
- A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-SpacePoster
- A Hidden Semantic Bottleneck in Conditional Embeddings of Diffusion TransformersPoster
- A Hierarchical Circuit Symbolic Discovery Framework for Efficient Logic OptimizationPoster
- A High Quality Dataset and Reliable Evaluation for Interleaved Image-Text GenerationPoster
- A Joint Diffusion Model with Pre-Trained Priors for RNA Sequence–Structure Co-DesignPoster
- A Law of Data Reconstruction for Random Features (And Beyond)Poster
- A Memory-Efficient Hierarchical Algorithm for Large-scale Optimal Transport ProblemsPoster
- A Near-Optimal Best-of-Both-Worlds Algorithm for Federated BanditsPoster
- A New Approach to Controlling Linear Dynamical SystemsPoster
- A New Initialization to Control Gradients in Sinusoidal Neural NetworksPoster
- A New Paradigm for Genome-wide DNA Methylation Prediction Without Methylation InputPoster
- A Noise is Worth Diffusion GuidancePoster
- A One-shot Framework for Directed Evolution of AntibodiesPoster
- A Physics-Inspired Optimizer: Velocity Regularized AdamPoster
- A Primer on SO(3) Action Representations in Deep Reinforcement LearningPoster
- A Probabilistic Hard Concept Bottleneck for Steerable Generative ModelsPoster
- A Problem-Oriented Perspective and Anchor Verification for Code OptimizationPoster
- A Recovery Guarantee for Sparse Neural NetworksPoster
- A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect EstimatorsPoster
- A Representer Theorem for Hawkes Processes via Penalized Least Squares MinimizationOral
- A Resolution-Agnostic Geometric Transformer for Chromosome Modeling Using Inertial FramePoster
- A Reward-Free Viewpoint on Multi-Objective Reinforcement LearningPoster
- A Rich Knowledge Space for Scalable Deepfake DetectionPoster
- A Scalable Constant-Factor Approximation Algorithm for $W_p$ Optimal TransportPoster
- A Scalable Distributed Framework for Multimodal GigaVoxel Image RegistrationOral
- A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign PredictionPoster
- A Scene is Worth a Thousand Features: Feed-Forward Camera Localization from a Collection of Image FeaturesPoster
- A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal ControlPoster
- A Sharp KL-Convergence Analysis for Diffusion Models under Minimal AssumptionsPoster
- A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning ModelsPoster
- A Single Architecture for Representing Invariance Under Any Space GroupPoster
- A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systemsPoster
- A State-Transition Framework for Efficient LLM ReasoningPoster
- A Statistical Benchmark for Diffusion Posterior Sampling AlgorithmsPoster
- A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport SolversPoster
- A Statistical Theory of Overfitting for Imbalanced ClassificationPoster
- A Step to Decouple Optimization in 3DGSPoster
- A Stitch in Time Saves Nine: Proactive Self-Refinement for Language ModelsPoster
- A Structured, Tagged, and Localized Visual Question Answering Dataset with Full Sentence Answers and Scene Graphs for Chest X-ray ImagesPoster
- A Study of Posterior Stability in Time-Series Latent DiffusionPoster
- A Study on PAVE Specification for LearnwarePoster
- A Tale of Two Smoothness Notions: Adaptive Optimizers and Non-Euclidean DescentPoster
- A Theoretical Analysis of Mamba’s Training Dynamics: Filtering Relevant Features for Generalization in State Space ModelsPoster
- A Training-Free Framework for Long Video Understanding via Video-Query-Options SimilarityPoster
- A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow ModelingPoster
- A Unification of Discrete, Gaussian, and Simplicial DiffusionPoster
- A Unified Federated Framework for Trajectory Data Preparation via LLMsPoster
- A Unified Total Variation Framework for Membrane Potential Perturbation DynamicPoster
- A Unifying View of Coverage in Linear Off-policy EvaluationPoster
- A foundation model with multi-variate parallel attention to generate neuronal activityPoster
- A tale of two tails: Preferred and anti-preferred natural stimuli in visual cortexPoster
- A universal compression theory: Lottery ticket hypothesis and superpolynomial scaling lawsPoster
- A$^2$FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid ReasoningPoster
- A$^2$Search: Ambiguity-Aware Question Answering with Reinforcement LearningPoster
- A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language ModelsPoster
- A.I.R.: Enabling Adaptive, Iterative, and Reasoning-based Frame Selection For Video Question AnsweringPoster
- A2ASecBench: A Protocol-Aware Security Benchmark for Agent-to-Agent Multi-Agent SystemsPoster
- A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language ModelsPoster
- ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation ModelsPoster
- AC-Foley: Reference-Audio-Guided Video-to-Audio Synthesis with Acoustic TransferPoster
- AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings AlgorithmPoster
- ACADREASON: Exploring the Limits of Reasoning Models with Academic Research ProblemsPoster
- ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion PersonalizationPoster
- ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual RecallPoster
- ACPBench Hard: Unrestrained Reasoning about Action, Change, and PlanningPoster
- ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled TuningPoster
- ADM-v2: Pursuing Full-Horizon Roll-out in Dynamics Models for Offline Policy Learning and EvaluationPoster
- AEGIS: Adversarial Target–Guided Retention-Data-Free Robust Concept Erasure from Diffusion ModelsPoster
- AFD-INSTRUCTION: A Comprehensive Antibody Instruction Dataset with Functional Annotations for LLM-Based Understanding and DesignPoster
- AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation EditingPoster
- AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent FrameworkPoster
- AIRE-Prune: Asymptotic Impulse-Response Energy for State Pruning in State Space ModelsPoster
- ALM-MTA: Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem OptimizationPoster
- AMLRIS: Alignment-aware Masked Learning for Referring Image SegmentationPoster
- AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill DiversificationPoster
- AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon ConversationsPoster
- AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant DistributionPoster
- AP-OOD: Attention Pooling for Out-of- Distribution DetectionPoster
- APC-RL: Exceeding data-driven behavior priors with adaptive policy compositionPoster
- APPLE: Toward General Active Perception via Reinforcement LearningPoster
- APT: Towards Universal Scene Graph Generation via Plug-in Adaptive Prompt TuningPoster
- AQER: A Scalable and Efficient Data Loader for Digital Quantum ComputersPoster
- AQuA: Toward Strategic Response Generation for Ambiguous Visual QuestionsPoster
- ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy ShapingPoster
- ARFlow: Auto-regressive Optical Flow Estimation for Arbitrary-Length Videos via Progressive Next-Frame ForecastingPoster
- ARINBEV: Bird's-Eye View Layout Estimation with Conditional Autoregressive ModelPoster
- ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement LearningPoster
- ARMOR: Aligning Secure and Safe Large Language Models via Meticulous ReasoningPoster
- ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix FactorizationPoster
- ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play AttacksPoster
- ARROW: An Adaptive Rollout and Routing Method for Global Weather ForecastingPoster
- ARTDECO: Toward High-Fidelity On-the-Fly Reconstruction with Hierarchical Gaussian Structure and Feed-Forward GuidancePoster
- ASCIIEval: Benchmarking Models' Visual Perception in Text Strings via ASCII ArtPoster
- ASGuard: Activation-Scaling Guard to Mitigate Targeted Jailbreaking AttackPoster
- ASIDE: Architectural Separation of Instructions and Data in Language ModelsPoster
- ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide ImagingPoster
- ASSESS: A Semantic and Structural Evaluation Framework for Statement SimilarityPoster
- ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series ForecastingPoster
- ASTRAEA: A Token-wise Acceleration Framework for Video Diffusion TransformersPoster
- ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural NetworksPoster
- ATGen: Adversarial Reinforcement Learning for Test Case GenerationPoster
- ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of MultilingualityPoster
- ATLAS: Alibaba Dataset and Benchmark for Learning-Augmented SchedulingPoster
- ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel PlanningPoster
- ATOM: A Pretrained Neural Operator for Multitask Molecular DynamicsPoster
- ATPO: ADAPTIVE TREE POLICY OPTIMIZATION FOR MULTI-TURN MEDICAL DIALOGUEPoster
- ATTS: Asynchronous Test-Time Scaling via Conformal PredictionPoster
- AUHead: Realistic Emotional Talking Head Generation via Action Units ControlPoster
- AVERE: Improving Audiovisual Emotion Reasoning with Preference OptimizationPoster
- AVEX: What Matters for Animal Vocalization EncodingPoster
- AVoCaDO: An Audiovisual Video Captioner Driven by Temporal OrchestrationPoster
- AWM: Accurate Weight-Matrix Fingerprint for Large Language ModelsPoster
- A^2TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene RepresentationPoster
- AbdCTBench: Learning Clinical Biomarker Representations from Abdominal Surface GeometryPoster
- AbsTopK: Rethinking Sparse Autoencoders For Bidirectional FeaturesPoster
- AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract ThinkingPoster
- Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion PoliciesPoster
- Accelerated Learning with Linear Temporal Logic using Differentiable SimulationPoster
- Accelerated Parallel Tempering via Neural TransportsPoster
- Accelerated co-design of robots through morphological pretrainingPoster
- Accelerating Benchmarking of Functional Connectivity Modeling via Structure-aware Core-set SelectionPoster
- Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden PrinciplesPoster
- Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory DistillationPoster
- Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace FilterPoster
- Accelerating Inference for Multilayer Neural Networks with Quantum ComputersPoster
- Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning AlgorithmsPoster
- AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL SynergyPoster
- Achieving Approximate Symmetry Is Exponentially Easier than Exact SymmetryPoster
- Achieving Expert-Level Agent from Foundation Model via Complexity Curriculum Reinforcement Learning with Synthetic DataPoster
- Achieving low-bit Muon through subspace preservation and grid quantizationPoster
- Action Chunking and Data Augmentation Yield Exponential Improvements in Behavior Cloning for Continuous SpacesPoster
- Action-Free Offline-To-Online RL via Discretised State PoliciesPoster
- Action-Guided Attention for Video Action AnticipationPoster
- Action-aware Dynamic Pruning for Efficient Vision-Language-Action ManipulationPoster
- Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph InferenceOral
- Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic ForgettingPoster
- Activation Function Design Sustains Plasticity in Continual LearningPoster
- Activation Steering for LLM Alignment via a Unified ODE-Based FrameworkPoster
- Activation Steering with a Feedback ControllerPoster
- ActivationReasoning: Logical Reasoning in Latent Activation SpacesPoster
- Active Learning for Decision Trees with Provable GuaranteesPoster
- Active Learning of 3D Gaussian Splatting with Consistent Region Partition and Robust Pose EstimationPoster
- ActiveCQ: Active Estimation of Causal QuantitiesPoster
- ActiveDPO: Active Direct Preference Optimization for Sample-Efficient AlignmentPoster
- AdAEM: An Adaptively and Automated Extensible Evaluation Method of LLMs' Value DifferenceOral
- AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference OptimizationPoster
- AdS-GNN - a Conformally Equivariant Graph Neural NetworkPoster
- Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-MakingPoster
- AdaCache: Adaptive Caching and Context Augmentation for Efficient LLM ServingPoster
- AdaRank: Adaptive Rank Pruning for Enhanced Model MergingPoster
- AdaReasoner: Dynamic Tool Orchestration for Iterative Visual ReasoningPoster
- AdaSpec: Adaptive Spectrum for Enhanced Node DistinguishabilityPoster
- AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D ScenesPoster
- Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation ModelsPoster
- Adapting Self-Supervised Representations as a Latent Space for Efficient GenerationPoster
- Adaptive Acquisition Selection for Bayesian Optimization with Large Language ModelsPoster
- Adaptive Attacks on Trusted Monitors Subvert AI Control ProtocolsPoster
- Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic SegmentationPoster
- Adaptive Canonicalization with Application to Invariant Anisotropic Geometric NetworksPoster
- Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual LearningPoster
- Adaptive Concept Discovery for Interpretable Few-Shot Text ClassificationPoster
- Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring.Poster
- Adaptive Conformal Guidance for Learning under UncertaintyPoster
- Adaptive Conformal Prediction via Mixture-of-Experts Gating SimilarityPoster
- Adaptive Data-Knowledge Alignment in Genetic Perturbation PredictionPoster
- Adaptive Debiasing Tsallis Entropy for Test-Time AdaptationPoster
- Adaptive Domain Shift in Diffusion Models for Cross-Modality Image TranslationPoster
- Adaptive Gaussian Expansion for On-the-fly Category DiscoveryPoster
- Adaptive Hopfield Network: Rethinking Similarities in Associative MemoryPoster
- Adaptive Logit Adjustment for Debiasing Multimodal Language ModelsPoster
- Adaptive Mamba Neural OperatorsPoster
- Adaptive Methods Are Preferable in High Privacy Settings: An SDE PerspectivePoster
- Adaptive Mixture of Disentangled Experts for Dynamic Graphs under Distribution ShiftsPoster
- Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion SamplingPoster
- Adaptive Nonlinear Compression for Large Foundation ModelsPoster
- Adaptive Regularization for Large-Scale Sparse Feature Embedding ModelsPoster
- Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable RewardsPoster
- Adaptive Scaling of Policy Constraints for Offline Reinforcement LearningPoster
- Adaptive Social Learning via Mode Policy Optimization for Language AgentsPoster
- Adaptive Test-Time Training for Predicting Need for Invasive Mechanical Ventilation in Multi-Center CohortsPoster
- Adaptive Thinking: Large Language Models Know When to Think in Latent SpacePoster
- Adaptive Width Neural NetworksPoster
- Adaptive gradient descent on Riemannian manifolds and its applications to Gaussian variational inferencePoster
- Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language GenerationPoster
- Addressing divergent representations from causal interventions on neural networksOral
- Adjusting Prediction Model Through Wasserstein Geodesic for Causal InferencePoster
- Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior ModelsPoster
- AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning ModelsPoster
- Advancing Complex Video Object Segmentation via Progressive Concept ConstructionPoster
- Advancing End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-TrainingPoster
- Advancing Multi-agent Traffic Simulation via R1-Style Reinforcement Fine-TuningPoster
- Advancing Spatiotemporal Representations in Spiking Neural Networks via Parametric Invertible TransformationPoster
- Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of MaterialsPoster
- Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language ModelsPoster
- Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen AttacksPoster
- Adversarially Pretrained Transformers may be Universally Robust In-Context LearnersPoster
- Aegis: Automated Error Generation and Identification for Multi-Agent SystemsPoster
- AesCoder: Code Aesthetics with Agentic Reward FeedbackPoster
- AetherCode: Evaluating LLMs’ Ability to Win In Premier Programming CompetitionsPoster
- AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?Poster
- Agent Data ProtocolOral
- Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic TasksPoster
- AgentFold: Long-Horizon Web Agents with Proactive Context FoldingPoster
- AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RLOral
- AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented AgentPoster
- AgentPO: Enhancing Multi-Agent Collaboration via Reinforcement LearningPoster
- AgentSynth: Scalable Task Generation for Generalist Computer-Use AgentsPoster
- Agentic Collaboration as an Information Bottleneck ProblemPoster
- Agentic Context Engineering: Learning Comprehensive Contexts for Self-Improving Language ModelsPoster
- Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language ModelsPoster
- Agentic Reinforced Policy OptimizationPoster
- Agentic Reinforcement Learning with Implicit Step RewardsPoster
- Agnostics: Learning to Synthesize Code in Any Programming Language with a Universal Reinforcement Learning EnvironmentPoster
- Algorithm Generation via Creative IdeationPoster
- Algorithmic Guarantees for Distilling Supervised and Offline RL DatasetsPoster
- Align Once, Benefit Multilingually: Enforcing Multilingual Consistency for LLM Safety AlignmentPoster
- Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular DynamicsPoster
- Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM JudgesPoster
- Align-SAM: Seeking Flatter Minima for Better Cross-Subset AlignmentPoster
- Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent GuidancePoster
- AlignFlow: Improving Flow-based Generative Models with Semi-Discrete Optimal TransportPoster
- AlignSep: Temporally-Aligned Video-Queried Sound Separation with Flow MatchingPoster
- Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention InstillationPoster
- Aligner, Diagnose Thyself: A Meta-Learning Paradigm for Fusing Intrinsic Feedback in Preference AlignmentPoster
- Aligning Collaborative View Recovery and Tensorial Subspace Learning via Latent Representation for Incomplete Multi-View ClusteringPoster
- Aligning Deep Implicit Preferences by Learning to Reason DefensivelyPoster
- Aligning Visual Foundation Encoders to Tokenizers for Diffusion ModelsPoster
- Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference OptimizationPoster
- Alignment-Enhanced Integration of Connectivity and Spectral Sparse in Dynamic Sparse Training of LLMPoster
- Alignment-Weighted DPO: A principled reasoning approach to improve alignmentPoster
- All Code, No Thought: Language Models Struggle to Reason in Ciphered LanguagePoster
- All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch LearningPoster
- All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-TuningPoster
- All That Glitters Is Not Gold: Key-Secured 3D Secrets within 3D Gaussian SplattingPoster
- All-day Multi-scenes Lifelong Vision-and-Language Navigation with Tucker AdaptationPoster
- Almost Bayesian: Dynamics of SGD Through Singular Learning TheoryPoster
- AlphaAgentEvo: Evolution-Oriented Alpha Mining via Self-Evolving Agentic Reinforcement LearningPoster
- AlphaAlign: Incentivizing Safety Alignment with Extremely Simplified Reinforcement LearningPoster
- AlphaBench: Benchmarking Large Language Models in Formulaic Alpha Factor MiningPoster
- AlphaFlow: Understanding and Improving MeanFlow ModelsPoster
- AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust ExplorationPoster
- AlphaSteer: Learning Refusal Steering with Principled Null-Space ConstraintPoster
- Alternating Diffusion for Proximal Sampling with Zeroth Order QueriesPoster
- Amortising Inference and Meta-Learning Priors in Neural NetworksPoster
- An Agentic Framework with LLMs for Solving Complex Vehicle Routing ProblemsPoster
- An Efficient SE(p)-Invariant Transport Metric Driven by Polar Transport Discrepancy-based RepresentationPoster
- An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language ModelsPoster
- An Ensemble Framework for Unbiased Language Model WatermarkingPoster
- An Improved Model-free Decision-estimation Coefficient with Applications in Adversarial MDPsPoster
- An Information-Theoretic Parameter-Free Bayesian Framework for Probing Labeled Dependency Trees from Attention ScorePoster
- An Information-Theoretical Framework For Optimizing Experimental Design To Distinguish Probabilistic Neural CodesPoster
- An Open-Ended Benchmark and Formal Framework for Adjuvant Research with MLLMPoster
- An Optimal Diffusion Approach to Quadratic Rate-Distortion Problems: New Solution and Approximation MethodsPoster
- An Orthogonal Learner for Individualized Outcomes in Markov Decision ProcessesPoster
- An efficient, provably optimal, practical algorithm for the 0-1 loss linear classification problemPoster
- An evolutionary perspective on modes of learning in TransformersPoster
- Analysis of approximate linear programming solution to Markov decision problem with log barrier functionPoster
- Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven AnalysisPoster
- Analyzing and Evaluating Unbiased Language Model WatermarkPoster
- Analyzing the Training Dynamics of Image Restoration Transformers: A Revisit to Layer NormalizationPoster
- Anatomy-aware Representation Learning for Medical UltrasoundPoster
- Anchor Frame Bridging for Coherent First-Last Frame Video GenerationPoster
- Anchored Supervised Fine-TuningPoster
- AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMsPoster
- Angle K-MeansPoster
- Animal behavioral analysis and neural encoding with transformer-based self-supervised pretrainingPoster
- Animating the Uncaptured: Humanoid Mesh Animation with Video Diffusion ModelsPoster
- Anime-Ready: Controllable 3D Anime Character Generation with Body-Aligned Component-Wise Garment ModelingPoster
- Annotation-Efficient Honesty Alignment via Confidence Elicitation and CalibrationPoster
- Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient InfluencePoster
- AntigenLM: Structure-Aware DNA Language Modeling for InfluenzaPoster
- Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language ModelsPoster
- Antithetic Noise in Diffusion ModelsPoster
- Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-DepthPoster
- Any-Order Any-Subset AutoRegressive ModelPoster
- Any-Order Flexible Length Masked DiffusionPoster
- Any-Subgroup Equivariant Networks via Symmetry BreakingPoster
- Any-step Generation via N-th Order Recursive Consistent Velocity Field EstimationPoster
- Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion ModelPoster
- AnyBCQ: Hardware Efficient Flexible Binary-Coded Quantization for Multi-Precision LLMsPoster
- AnyTouch 2: General Optical Tactile Representation Learning For Dynamic Tactile PerceptionPoster
- AnyUp: Universal Feature UpsamplingOral
- Arbitrary Generative Video InterpolationPoster
- Arbitrary-Order Block SignSGD for Memory-Efficient LLM Fine-TuningPoster
- Arbitrary-Shaped Image Generation via Spherical Neural Field DiffusionPoster
- Architecture-Agnostic Test-Time Adaptation via Backprop-Free Embedding AlignmentPoster
- Are Deep Speech Denoising Models Robust to Adversarial Noise?Poster
- Are EEG Foundation Models Worth It? Comparative Evaluation with Traditional Decoders in Diverse BCI TasksPoster
- Are Global Dependencies Necessary? Scalable Time Series Forecasting via Local Cross-Variate ModelingPoster
- Are LLMs Really Not Knowledgeable? Mining the Submerged Knowledge in LLMs' MemoryPoster
- Are Reasoning LLMs Robust to Interventions on their Chain-of-Thought?Poster
- Are we measuring oversmoothing in graph neural networks correctly?Poster
- Aria: an Agent for Retrieval and Iterative Auto-Formalization via Dependency GraphPoster
- ArtUV: Artist-style UV UnwrappingPoster
- ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot LearningPoster
- Articulation in Motion: Prior-free Part Mobility Analysis for Articulated Objects By Dynamic-Static DisentanglementPoster
- Assembling the Mind's Mosaic: Towards EEG Semantic Intent DecodingPoster
- AssetFormer: Modular 3D Assets Generation with Autoregressive TransformerPoster
- AssoMem: Scalable Memory QA with Multi-Signal Associative RetrievalPoster
- AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research SuiteOral
- Astra: General Interactive World Model with Autoregressive DenoisingPoster
- Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoningPoster
- Asymmetric Synthetic Data Update for Domain Incremental Dataset DistillationPoster
- Asymptotic analysis of shallow and deep forgetting in replay with neural collapsePoster
- AsyncBEV: Cross-modal flow alignment in Asynchronous 3D Object DetectionPoster
- Asynchronous Denoising Diffusion Models for Aligning Text-to-Image GenerationPoster
- Asynchronous Matching with Dynamic Sampling for Multimodal Dataset DistillationPoster
- Asynchronous Policy Gradient Aggregation for Efficient Distributed Reinforcement LearningPoster
- AtC: Aggregate-then-Calibrate for Human-centered AssessmentPoster
- AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAMPoster
- Atomic HINs: Entity-Attribute Duality for Heterogeneous Graph ModelingPoster
- AttTok: Marrying Attribute Tokens with Generative Pre-trained Vision-Language Models towards Medical Image UnderstandingPoster
- Attack-Resistant Watermarking for AIGC Image Forensics via Diffusion-based Semantic DeflectionPoster
- Attend to the Active: Structure-Aware Dynamic Attention in LLMs for Compositional Instruction FollowingPoster
- Attention Is All You Need for KV Cache in Diffusion LLMsPoster
- Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same CoinPoster
- Attention Smoothing Is All You Need For UnlearningPoster
- Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning ModelsPoster
- Attention, Please! Revisiting Attentive Probing Through the Lens of EfficiencyPoster
- AttriCtrl: A Generalizable Framework for Controlling Semantic Attribute Intensity in Diffusion ModelsPoster
- Attributing Response to Context: A Jensen–Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented GenerationPoster
- Attribution-Guided DecodingPoster
- AudioTrust: Benchmarking The Multifaceted Trustworthiness of Audio Large Language ModelsPoster
- AudioX: A Unified Framework for Anything-to-Audio GenerationPoster
- Auditing Black-Box LLM APIs with a Rank-Based Uniformity TestPoster
- Augmented Radiance Field: A General Framework for Enhanced Gaussian SplattingPoster
- Aurelius: Relation Aware Text-to-Audio Generation At ScalePoster
- Aurora: Towards Universal Generative Multimodal Time Series ForecastingPoster
- Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language ModelsPoster
- AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology LaboratoryPoster
- AutoCode: LLMs as Problem Setters for Competitive ProgrammingPoster
- AutoCodeBench: Large Language Models are Automatic Code Benchmark GeneratorsPoster
- AutoDA-Timeseries: Automated Data Augmentation for Time SeriesPoster
- AutoDV: An End-to-End Deep Learning Model for High-Dimensional Data VisualizationPoster
- AutoDrive-R²: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous DrivingPoster
- AutoEP: LLMs-Driven Automation of Hyperparameter Evolution for Metaheuristic AlgorithmsOral
- AutoFigure: Generating and Refining Publication-Ready Scientific IllustrationsPoster
- AutoFly: Vision-Language-Action Model for UAV Autonomous Navigation in the WildPoster
- AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive ReasoningPoster
- AutoLibra: Agent Metric Induction from Open-Ended Human FeedbackPoster
- AutoMetrics: Approximate Human Judgments with Automatically Generated EvaluatorsPoster
- AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity OptimizationPoster
- AutoQVLA: Not All Channels Are Equal in Vision-Language-Action Model's QuantizationPoster
- AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence ParallelismPoster
- AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy ConstraintsPoster
- Autoencoding-Free Context Compression for LLMs via Contextual Semantic AnchorsPoster
- Automata Learning and Identification of the Support of Language ModelsPoster
- Automated Formalization via Conceptual Retrieval-Augmented LLMsPoster
- Automated Interpretability Metrics Do Not Distinguish Trained and Random TransformersPoster
- Automated Stateful Specialization for Adaptive Agent SystemsPoster
- Automatic Dialectic Jailbreak: A Framework for Generating Effective Jailbreak StrategiesPoster
- Automatic Image-Level Morphological Trait Annotation for Organismal ImagesPoster
- Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task?Poster
- Automatic and Structure-Aware Sparsification of Hybrid Neural ODEs with Application to Glucose PredictionPoster
- Automating the Refinement of Reinforcement Learning SpecificationsPoster
- Autonomous Play with Correspondence-Driven Trajectory WarpingPoster
- Autoregressive Image Generation with Randomized Parallel DecodingPoster
- Autoregressive Visual Decoding from EEG SignalsPoster
- Autoregressive-based Progressive Coding for Ultra-Low Bitrate Image CompressionPoster
- Avey-BPoster
- Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion ModelsPoster
- BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language ModelsPoster
- BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural ChangePoster
- BANZ-FS: BANZSL Fingerspelling DatasetPoster
- BAR: Refactor the Basis of Autoregressive Visual GenerationPoster
- BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMsPoster
- BBQ: Boosting Quantization Entropy with Bell Box QuantizationPoster
- BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger LearningPoster
- BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental DesignPoster
- BEP: A Binary Error Propagation Algorithm for Binary Neural Networks TrainingPoster
- BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement LearningPoster
- BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation via Lens of Dynamic InteractionsOral
- BIRD: Behavior Induction via Representation-structure DistillationPoster
- BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video GenerationPoster
- BOLT: Decision‑Aligned Distillation and Budget-Aware Routing for Constrained Multimodal QA on RobotsPoster
- BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement FinetuningPoster
- BRIDGE: Bi-level Reinforcement Learning for Dynamic Group Structure in Coalition Formation GamesPoster
- BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, and RerankersPoster
- BWCache: Accelerating Video Diffusion Transformers through Block-Wise CachingPoster
- Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGDPoster
- Balancing the Experts: Unlocking LoRA-MoE for GRPO via Mechanism-Aware RewardsPoster
- Bandit Learning in Matching Markets Robust to Adversarial CorruptionsPoster
- Bandits with Single-Peaked Preferences and Limited ResourcesPoster
- Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of PlasticityPoster
- BaseReward: A Strong Baseline for Multimodal Reward ModelPoster
- Batch Pruning by Activation StabilityPoster
- Batch and Sequential Unlearning for Neural NetworksPoster
- Battery Fault: A Comprehensive Dataset and Benchmark for Battery Fault DiagnosisPoster
- Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement LearningPoster
- Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length ExtrapolationPoster
- Bayesian Ensemble for Sequential Decision-MakingPoster
- Bayesian Evidence-Driven Prototype Evolution for Federated Domain AdaptationPoster
- Bayesian Influence Functions for Hessian-Free Data AttributionPoster
- Bayesian Neural Networks for Functional ANOVA ModelPoster
- Bayesian Parameter Shift Rules in Variational Quantum EigensolversPoster
- Bayesian Post Training Enhancement of Regression Models with Calibrated RankingsPoster
- Bayesian Robust Cooperative Multi-Agent Reinforcement Learning Against Unknown AdversariesPoster
- Bayesian Test-Time Adaptation via Dirichlet feature projection and GMM-Driven Inference for Motor Imagery EEG DecodingPoster
- Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!Poster
- Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMsPoster
- Behavior Learning (BL)Poster
- Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization PredictionPoster
- Belief-Based Offline Reinforcement Learning for Delay-Robust Policy OptimizationPoster
- Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMsPoster
- Benchmarking ECG Foundational Models: A Reality Check Across Clinical TasksPoster
- Benchmarking Empirical Privacy Protection for Adaptations of Large Language ModelsOral
- Benchmarking LLM Tool-Use in the WildPoster
- Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive EvaluationPoster
- Benchmarking Multi-Agent Reinforcement Learning in Power Grid OperationsPoster
- Benchmarking Open-ended SegmentationPoster
- Benchmarking Overton Pluralism in LLMsPoster
- Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural NetworksPoster
- Benefits and Limitations of Communication in Multi-Agent ReasoningPoster
- Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical PerspectivePoster
- Best-of-Infinity: Asymptotic Performance of Test-Time ComputePoster
- Best-of-Majority: Minimax-Optimal Strategy for Pass@k Inference ScalingPoster
- Best-of-N through the Smoothing Lens: KL Divergence and Regret AnalysisPoster
- Best-of-three-worlds Analysis for Dueling Bandits with Borda WinnerPoster
- Better Bounds for the Distributed Experts ProblemPoster
- Better Learning-Augmented Spanning Tree Algorithms via Metric Forest CompletionPoster
- Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal ModelsPoster
- Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement LearningPoster
- Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?Poster
- Beyond Aggregation: Guiding Clients in Heterogeneous Federated LearningPoster
- Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal FeedbackPoster
- Beyond Binary Rewards: Training LMs to Reason About Their UncertaintyPoster
- Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning BenchmarksPoster
- Beyond DAGs: A Latent Partial Causal Model for Multimodal LearningPoster
- Beyond Distributions: Geometric Action Control for Continuous Reinforcement LearningPoster
- Beyond English-Centric Training: How Reinforcement Learning Improves Cross-Lingual Reasoning in LLMsPoster
- Beyond Ensembles: Simulating All-Atom Protein Dynamics in a Learned Latent SpacePoster
- Beyond Entity Correlations: Disentangling Event Causal Puzzles in Temporal Knowledge GraphsPoster
- Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language ModelsPoster
- Beyond Frequency: Scoring-Driven Debiasing for Object Detection via Blueprint-Prompted Image SynthesisPoster
- Beyond Grid-Locked Voxels: Neural Response Functions for Continuous Brain EncodingPoster
- Beyond Hearing: Learning Task-agnostic ExG Representations from Earphones via Physiology-informed TokenizationPoster
- Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination DetectionPoster
- Beyond Instance-Level Alignment: Dual-Level Optimal Transport for Audio-Text RetrievalPoster
- Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining DataPoster
- Beyond Linear Probes: Dynamic Safety Monitoring for Language ModelsPoster
- Beyond Linear Processing: Dendritic Bilinear Integration in Spiking Neural NetworksPoster
- Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TAREPoster
- Beyond Markovian Drifts: Action-Biased Geometric Walks with Memory for Personalized SummarizationPoster
- Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM ReasoningPoster
- Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion ProcessesPoster
- Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided MatchingPoster
- Beyond Membership: Limitations of Add/Remove Adjacency in Differential PrivacyPoster
- Beyond Multi-Token Prediction: Pretraining LLMs with Future SummariesPoster
- Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress MonitoringPoster
- Beyond Outliers: A Study of Optimizers Under QuantizationPoster
- Beyond Pairwise: Empowering LLM Alignment With (Ranked) Choice ModelingPoster
- Beyond Pass@ 1: Self-Play with Variational Problem Synthesis Sustains RLVRPoster
- Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement LearningPoster
- Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign PromptsOral
- Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge GroundingPoster
- Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic FrameworkPoster
- Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text DetectionPoster
- Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMsPoster
- Beyond Scattered Acceptance: Fast and Coherent Inference for DLMs via Longest Stable PrefixesPoster
- Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive RetrievalPoster
- Beyond Short Steps in Frank-Wolfe AlgorithmsPoster
- Beyond Simple Graphs: Neural Multi-Objective Routing on MultigraphsPoster
- Beyond Skeletons: Learning Animation Directly from Driving Videos with Same2X Training StrategyPoster
- Beyond Softmax and Entropy: Convergence Rates of Policy Gradients with $\boldsymbol{f}$-SoftArgmax Parameterization $\&$ Coupled RegularizationPoster
- Beyond Spectra: Eigenvector Overlaps in Loss GeometryPoster
- Beyond Speedup - Utilizing KV Cache for Sampling and ReasoningPoster
- Beyond Static Vision: Scene Dynamic Field Unlocks Intuitive Physics Understanding in Multi-modal Large Language ModelsPoster
- Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray DiffractionPoster
- Beyond Student: An Asymmetric Network for Neural Network InheritancePoster
- Beyond Text-Only: Towards Multimodal Table Retrieval in Open-WorldPoster
- Beyond Text-to-Image: Liberating Generation with a Unified Discrete Diffusion ModelPoster
- Beyond URLs: Metadata Diversity and Position for Efficient LLM PretrainingPoster
- Beyond Uniformity: Regularizing Implicit Neural Representations through a Lipschitz LensPoster
- Beyond Uniformity: Sample and Frequency Meta Weighting for Post-Training Quantization of Diffusion ModelsPoster
- Beyond Visual Reconstruction Quality: Object Perception-aware 3D Gaussian Splatting for Autonomous DrivingPoster
- Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMsPoster
- Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP SolversPoster
- Beyond the Known: An Unknown-Aware Large Language Model for Open-Set Text ClassificationPoster
- BeyondBench: Benchmark-Free Evaluation of Reasoning in Language ModelsPoster
- Bi-Criteria Metric DistortionPoster
- Bi-Lipschitz Autoencoder With Injectivity GuaranteePoster
- Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale ModelsPoster
- Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying PromptsPoster
- Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMsPoster
- BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language ModelsPoster
- BiasFreeBench: a Benchmark for Mitigating Bias in Large Language Model ResponsesPoster
- BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge EvaluationPoster
- BideDPO: Conditional Image Generation with Simultaneous Text and Condition AlignmentPoster
- Bidirectional Predictive CodingPoster
- BigMaQ: A Big Macaque Motion and Animation Dataset Bridging Image and 3D Pose RepresentationsPoster
- Bilateral Information-aware Test-time Adaptation for Vision-Language ModelsPoster
- Bilevel Optimization with Lower-Level Uniform Convexity: Theory and AlgorithmPoster
- Bilinear relational structure fixes reversal curse and enables consistent model editingPoster
- BindWeave: Subject-Consistent Video Generation via Cross-Modal IntegrationPoster
- Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient EstimationPoster
- BioBO: Biology-informed Bayesian Optimization for Perturbation DesignPoster
- BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation ModelsPoster
- BioMD: All-atom Generative Model for Biomolecular Dynamics SimulationPoster
- BioTamperNet: Affinity-Guided State-Space Model Detecting Tampered Biomedical ImagesPoster
- BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across BiosignalsOral
- Biologically Plausible Learning via Bidirectional Spike-Based DistillationPoster
- Birch SGD: A Tree Graph Framework for Local and Asynchronous SGD MethodsPoster
- Bird's-eye-view Informed Reasoning DriverPoster
- Black-Box Privacy Attacks on Shared Representations in Multitask LearningPoster
- Block Recurrent Dynamics in Vision TransformersPoster
- Block-Sample MAC-Bayes Generalization BoundsPoster
- Block-wise Adaptive Caching for Accelerating Diffusion PolicyPoster
- BoGrape: Bayesian optimization over graphs with shortest-path encodedPoster
- BoRA: Towards More Expressive Low-Rank Adaptation with Block DiversityPoster
- Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard ProblemsPoster
- Boolean Satisfiability via Imitation LearningPoster
- Boomerang Distillation Enables Zero-Shot Model Size InterpolationPoster
- Boosted Trees on a Diet: Compact Models for Resource-Constrained DevicesPoster
- Boosting Medical Visual Understanding From Multi-Granular Language LearningPoster
- Boosting Multi-Domain Reasoning of LLMs via Curvature-Guided Policy OptimizationPoster
- Boosting Open Set Recognition Performance through Modulated Representation LearningPoster
- Boosting for Predictive SufficiencyPoster
- Bootstrapping MLLM for Weakly‑Supervised Class‑Agnostic Object CountingPoster
- BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest ManagementPoster
- Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised ReasoningPoster
- Bound by semanticity: universal laws governing the generalization-identification tradeoffPoster
- Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and BeyondPoster
- Bradley-Terry and Multi-Objective Reward Modeling Are ComplementaryPoster
- Brain-IT: Image Reconstruction from fMRI via Brain-Interaction TransformerPoster
- Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation ModelPoster
- Branch and Bound Search for Exact MAP Inference in Credal NetworksPoster
- BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion ModelsPoster
- Branched Schrödinger Bridge MatchingPoster
- Break the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language ModelsPoster
- Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI AgentsPoster
- Breaking Barriers: Do Reinforcement Fine-tuning Gains Transfer To Unseen Domains?Poster
- Breaking Gradient Temporal Collinearity for Robust Spiking Neural NetworksPoster
- Breaking Safety Paradox with Feasible Dual Policy IterationPoster
- Breaking Scale Anchoring: Frequency Representation Learning for Accurate High-Resolution Inference from Low-Resolution TrainingPoster
- Breaking and Fixing Defenses Against Control Flow Hijacking in Multi-Agent SystemsPoster
- Breaking the Correlation Plateau: On the Optimization and Capacity Limits of Attention-Based RegressorsPoster
- Breaking the SFT Plateau: Multimodal Structured Reinforcement Learning for Chart-to-Code GenerationPoster
- Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action SetPoster
- BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous DrivingPoster
- Bridging Degradation Discrimination and Generation for Universal Image RestorationPoster
- Bridging Draft Policy Misalignment: Group Tree Optimization for Speculative DecodingPoster
- Bridging Explainability and Embeddings: BEE Aware of SpuriousnessPoster
- Bridging Fairness and Explainability: Can Input-Based Explanations Promote Fairness in Hate Speech Detection?Poster
- Bridging Generalization Gap of Heterogeneous Federated Clients Using Generative ModelsPoster
- Bridging Input Feature Spaces Towards Graph Foundation ModelsPoster
- Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for TransformersPoster
- Bridging ML and algorithms: comparison of hyperbolic embeddingsPoster
- Bridging Past and Future: Distribution-Aware Alignment for Time Series ForecastingPoster
- Bridging Piano Transcription and Rendering via Disentangled Score Content and StylePoster
- Bridging Radiology and Pathology Foundation Models via Concept-Based Multimodal Co-AdaptationPoster
- Bridging Successor Measure and Online Policy Learning with Flow Matching-Based RepresentationsPoster
- Bridging the Distribution Gap to Harness Pretrained Diffusion Priors for Super-ResolutionPoster
- Bridging the Gap Between Promise and Performance for FP4 QuantizationPoster
- Bridging the performance-gap between target-free and target-based reinforcement learningPoster
- Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion ModelsPoster
- BrowseNet: Knowledge Graph-Based Associative Memory for Contextual Information RetrievalPoster
- Buckingham $\pi$-Invariant Test‑Time Projection for Robust PDE Surrogate ModelingPoster
- Buffer Matters: Unleashing the Power of Off-Policy Reinforcement Learning in Large Language Model ReasoningPoster
- Building a Foundational Guardrail for General Agentic Systems via Synthetic DataPoster
- Building spatial world models from sparse transitional episodic memoriesPoster
- Bures Generalized Category DiscoveryPoster
- Bures-Wasserstein Flow Matching for Graph GenerationPoster
- ByteFlow: Language Modeling through Adaptive Byte Compression without a TokenizerPoster
- Byzantine-Robust Federated Learning with Learnable Aggregation WeightsPoster
- BézierFlow: Learning Bézier Stochastic Interpolant Schedulers for Few-Step GenerationPoster
- C-Evolve: Consensus-based Evolution for Prompt GroupsPoster
- C-Voting: Confidence-Based Test-Time Voting without Explicit Energy FunctionsPoster
- CAGE: A Framework for Culturally Adaptive Red-Teaming Benchmark GenerationPoster
- CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic DesignPoster
- CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular LocalizationPoster
- CAR-LoRA: Training Compression-Aware and Robust LoRA Adapters for Evolving LLMsPoster
- CARD: Towards Conditional Design of Multi-agent Topological StructuresPoster
- CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent AttentionPoster
- CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic FrameworkPoster
- CARL: Camera-Agnostic Representation Learning for Spectral Image AnalysisPoster
- CARL: Preserving Causal Structure in Representation LearningPoster
- CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Vision-Language ModelPoster
- CASteer: Cross-Attention Steering for Controllable Concept ErasurePoster
- CDBridge: A Cross-omics Post-training Bridge Strategy for Context-aware Biological ModelingPoster
- CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language ModelsPoster
- CE-Nav: Flow-Guided Reinforcement Refinement for Cross-Embodiment Local NavigationPoster
- CERTIFIED VS. EMPIRICAL ADVERSARIAL ROBUSTNESS VIA HYBRID CONVOLUTIONS WITH ATTENTION STOCHASTICITYPoster
- CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural OperatorsPoster
- CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo FilterPoster
- CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object DetectionsPoster
- CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy imagesPoster
- CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid PredictionPoster
- CIAR: Interval-based Collaborative Decoding for Image Generation AccelerationPoster
- CIMemories: A Compositional Benchmark For Contextual Integrity In LLMsPoster
- CL-DPS: A Contrastive Learning Approach to Blind Nonlinear Inverse Problem Solving via Diffusion Posterior SamplingPoster
- CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype LearningPoster
- CLARC: C/C++ Benchmark for Robust Code SearchPoster
- CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple PerspectivesPoster
- CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context EngineeringPoster
- CLEAR: Calibrated Learning for Epistemic and Aleatoric RiskPoster
- CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modallyPoster
- CLIP-FMoE: Scalable CLIP via Fused Mixture-of-Experts with Enforced SpecializationPoster
- CLUE: Conflict-guided Localization for LLM Unlearning FrameworkPoster
- CLUTCH: Contextualized Language model for Unlocking Text-Conditioned Hand motion modelling in the wildPoster
- CLoD-GS: Continuous Level-of-Detail via 3D Gaussian SplattingPoster
- CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter PhysicsPoster
- CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert ResearchersPoster
- CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow-Map ModelsPoster
- CO3: CONTRASTING CONCEPTS COMPOSE BETTERPoster
- COLD-Steer: Steering Large Language Models via In-Context One-step Learning DynamicsPoster
- COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General PreferencesPoster
- COMI: Coarse-to-fine Context Compression via Marginal Information GainPoster
- COMPACT: COMPositional Atomic-to-Complex Visual Capability TuningPoster
- COMPASS: Robust Feature Conformal Prediction for Medical Segmentation MetricsPoster
- CONCUR: A Framework for Continual Constrained and Unconstrained RoutingPoster
- CONSIGN: Conformal Segmentation Informed by Spatial Groupings via DecompositionPoster
- CORDS - Continuous Representations of Discrete StructuresPoster
- CORE: Concept-Oriented Reinforcement for Bridging the Definition–Application Gap in Mathematical ReasoningPoster
- COSA: Context-aware Output-Space Adapter for Test-Time Adaptation in Time Series ForecastingPoster
- COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural RepresentationsPoster
- COSMOS: A Hybrid Adaptive Optimizer for Efficient Training of Large Language ModelsPoster
- CP-Agent: Context‑Aware Multimodal Reasoning for Cellular Morphological Profiling under Chemical PerturbationsPoster
- CPQS-Tuning: A Model Self-Perception-Based Data Filtering Algorithm for Efficient Instruction Fine-TuningPoster
- CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series ForecastingPoster
- CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank StructurePoster
- CREPE: Controlling diffusion with REPlica ExchangePoster
- CRONOS: Continuous time reconstruction for 4D medical longitudinal seriesPoster
- CSRv2: Unlocking Ultra-Sparse EmbeddingsPoster
- CTBench: Cryptocurrency Time Series Generation BenchmarkPoster
- CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech RecognitionPoster
- CTRL&SHIFT: High-quality Geometry-Aware Object Manipulation in Visual GenerationPoster
- CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement LearningPoster
- CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single ModelPoster
- CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement LearningPoster
- CaReBench: A Fine-grained Benchmark for Video Captioning and RetrievalPoster
- CaTS: Calibrated Test-Time Scaling for Efficient LLM ReasoningPoster
- CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained PredictionsPoster
- Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMsPoster
- Cache-to-Cache: Direct Semantic Communication Between Large Language ModelsPoster
- Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative SamplingPoster
- Calibrated Information Bottleneck for Trusted Multi-modal ClusteringPoster
- Calibrating Verbalized Confidence with Self-Generated DistractorsPoster
- Can LLMs Move Beyond Short Exchanges to Realistic Therapy Conversations?Poster
- Can LLMs Reason Soundly in Law? Auditing Inference Patterns for Legal JudgmentPoster
- Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual TasksPoster
- Can Language Models Discover Scaling Laws?Poster
- Can Large Language Models Match the Conclusions of Systematic Reviews?Poster
- Can SAEs reveal and mitigate racial biases of LLMs in healthcare?Poster
- Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model PracticePoster
- Can Speech LLMs Think while Listening?Poster
- Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across TasksPoster
- Can Vision-Language Models Answer Face to Face Questions in the Real-World?Poster
- Can Vision–Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective.Poster
- Can You Hear Me Now? A Benchmark for Long-Range Graph PropagationPoster
- Can we generate portable representations for clinical time series data using LLMs?Poster
- Cancer-Myth: Evaluating Large Language Models on Patient Questions with False PresuppositionsPoster
- Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural NetworksPoster
- CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement LearningPoster
- Capability-Based Scaling Trends for LLM-Based Red-TeamingPoster
- Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of ExpertsPoster
- Captain Cinema: Towards Short Movie GenerationPoster
- Capturing Visual Environment Structure Correlates with Control PerformancePoster
- CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion ModelsPoster
- Carré du champ flow matching: better quality-generalisation tradeoff in generative modelsPoster
- Cartridges: Lightweight and general-purpose long context representations via self-studyPoster
- Cascadia: An Efficient Cascade Serving System for Large Language ModelsPoster
- Cat-PO: Cross-modal Adaptive Token-rewards for Preference Optimization in Truthful Multimodal LLMsPoster
- Catalog-Native LLM: Speaking Item-ID dialect with Less Entanglement for RecommendationPoster
- CatalystBench: A Comprehensive Multi-Task Benchmark for Advancing Language Models in Catalysis SciencePoster
- Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM PerceptionPoster
- CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic DataOral
- Causal Discovery in the Wild: A Voting-Theoretic Ensemble ApproachPoster
- Causal Discovery via Quantile Partial EffectPoster
- Causal Imitation Learning under Expert-Observable and Expert-Unobservable ConfoundingPoster
- Causal Interpretation of Neural Network Computations with Contribution Decomposition (CODEC)Poster
- Causal Score Conditioning for Multi-Resolution Latent SystemsPoster
- Causal Structure Learning in Hawkes Processes with Complex Latent Confounder NetworksOral
- Causal-Steer: Disentangled Continuous Style Control without Parallel CorporaPoster
- Causality ≠ Invariance: Function and Concept Vectors in LLMsPoster
- Causally Robust Preference Learning with ReasonsPoster
- Cautious Optimizers: Improving Training with One Line of CodePoster
- Cautious Weight DecayPoster
- CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell AnalysisPoster
- CerebraGloss: Instruction-Tuning a Large Vision-Language Model for Fine-Grained Clinical EEG InterpretationPoster
- Certified Evaluation of Model-Level Explanations for Graph Neural NetworksPoster
- Certifying the Full YOLO Pipeline: A Probabilistic Verification ApproachPoster
- Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPsPoster
- ChainGPT: Dual-Reasoning Model with Recurrent Depth and Multi-Rank State UpdatesPoster
- ChainMPQ: Interleaved Text-Image Reasoning Chains for Mitigating Relation HallucinationsPoster
- Change Point Localization and Inference in Dynamic Multilayer NetworksPoster
- Channel-Aware Mixed-Precision Quantization for Efficient Long-Context InferencePoster
- Characteristic Root Analysis and Regularization for Linear Time Series ForecastingPoster
- Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional DataPoster
- Characterizing Deep Research: A Benchmark and Formal DefinitionPoster
- Characterizing Human Semantic Navigation in Concept Production as Trajectories in Embedding SpacePoster
- Characterizing Pattern Matching and Its Limits on Compositional Task StructuresPoster
- Characterizing and Mitigating Reasoning Drift in Large Language ModelsPoster
- Characterizing and Optimizing the Spatial Kernel of Multi Resolution Hash EncodingsPoster
- Characterizing the Discrete Geometry of ReLU NetworksOral
- Chart Deep Research in LVLMs via Parallel Relative Policy OptimizationPoster
- ChartGalaxy: A Dataset for Infographic Chart Understanding and GenerationICLR 2026 ConditionalPoster
- Charts Are Not Images: On the Challenges of Scientific Chart EditingPoster
- Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-TrainingPoster
- ChatInject: Abusing Chat Templates for Prompt Injection in LLM AgentsPoster
- CheckMate! Watermarking Graph Diffusion Models in Polynomial TimePoster
- ChemEval: A Multi-level and Fine-grained Chemical Capability Evaluation for Large Language ModelsPoster
- Chessformer: A Unified Architecture for Chess ModelingPoster
- Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMsPoster
- ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language AgentsPoster
- Choices Speak Louder than QuestionsPoster
- ChronoEdit: Towards Temporal Reasoning for In-Context Image Editing and World SimulationPoster
- ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG BenchmarksPoster
- Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step ReturnsPoster
- CineTrans: Learning to Generate Videos with Cinematic Transitions via Masked Diffusion ModelsPoster
- Circuit Insights: Towards Interpretability Beyond ActivationsPoster
- CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit DesignPoster
- CircuitSense: A Hierarchical Circuit System Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design ProcessPoster
- Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language ModelsPoster
- CityLens: Evaluating Large Vision-Language Models for Urban Socioeconomic SensingPoster
- CitySeeker: How Do VLMs Explore Embodied Urban Navigation with Implicit Human Needs?Poster
- ClarifyVC: Clarifying Ambiguous Commands in Vehicle Control with a Hybrid Data Augmentation PipelinePoster
- Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined AnalysisPoster
- CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown ConditionsPoster
- Closed-form $\ell_r$ norm scaling with data for overparameterized linear regression and diagonal linear networks under $\ell_p$ biasPoster
- Closing the Gap Between Text and Speech Understanding in LLMsPoster
- Closing the Modality Gap Aligns Group-Wise SemanticsPoster
- Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive ModelsPoster
- Clustering by Denoising: Latent plug-and-play diffusion for single-cell embeddingsPoster
- Co-occurring Associated REtained concepts in Diffusion UnlearningPoster
- Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language ModelsPoster
- CoAct-1: Computer-using Multi-agent System with Coding ActionsPoster
- CoCoDiff: Correspondence-Consistent Diffusion Model for Fine-grained Style TransferPoster
- CoDA: Agentic Systems for Collaborative Data VisualizationPoster
- CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset DistillationPoster
- CoDi: Subject-Consistent and Pose-Diverse Text-to-Image GenerationPoster
- CoEmoGen: Towards Semantically-Coherent and Scalable Emotional Image Content GenerationPoster
- CoFact: Conformal Factuality Guarantees for Language Models under Distribution ShiftPoster
- CoLA: Co-Calibrated Logit Adjustment for Long-Tailed Semi-Supervised LearningPoster
- CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal ControlPoster
- CoMAS: Co-Evolving Multi-Agent Systems via Interaction RewardsPoster
- CoMem: Compositional Concept-Graph Memory for Vision–Language AdaptationPoster
- CoMind: Towards Community-Driven Agents for Machine Learning EngineeringPoster
- CoNavBench: Collaborative Long-Horizon Vision-Language Navigation BenchmarkPoster
- CoPRS: Learning Positional Prior from Chain-of-Thought for Reasoning SegmentationPoster
- CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware AdapterPoster
- CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMsPoster
- CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific ReasoningPoster
- CoT-RVS: Zero-Shot Chain-of-Thought Reasoning Segmentation for VideosPoster
- Coarse-to-Fine Learning of Dynamic Causal StructuresPoster
- Code Driven Planning with Domain-Adaptive SelectorPoster
- Code World Models for General Game PlayingPoster
- Code2Bench: Scaling Source and Rigor for Dynamic Benchmark ConstructionPoster
- CodeBrain: Towards Decoupled Interpretability and Multi-Scale Architecture for EEG Foundation ModelPoster
- CodeGenGuard: A Robust Watermark for Code Generation ModelsPoster
- CodeQuant: Unified Clustering and Quantization for Enhanced Outlier Smoothing in Low-Precision Mixture-of-ExpertsPoster
- CodeSense: a Real-World Benchmark and Dataset for Code Semantic ReasoningPoster
- Codified Finite-state Machines for Role-playingPoster
- CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem SolvingPoster
- CogMoE: Signal-Quality–Guided Multimodal MoE for Cognitive Load PredictionPoster
- CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor DensityPoster
- CogniMap3D: Cognitive 3D Mapping and Rapid RetrievalPoster
- Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent CollaborationPoster
- CollectiveKV: Decoupling and Sharing Collaborative Information in Sequential RecommendationPoster
- Color3D: Controllable and Consistent 3D Colorization with Personalized ColorizerPoster
- ComGS: Efficient 3D Object-Scene Composition via Surface Octahedral ProbesPoster
- ComPhy: Composing Physical Models with end-to-end AlignmentPoster
- Combination-of-Experts with Knowledge Sharing for Cross-Task Vehicle Routing ProblemsPoster
- Combinatorial Bandit Bayesian Optimization for Tensor OutputsPoster
- Combinatorial Rising BanditsPoster
- Command-V: Training-Free Representation Finetuning TransferPoster
- Common Corpus: The Largest Collection of Ethical Data for LLM Pre-TrainingOral
- Communication-Efficient Decentralized Optimization via Double-Communication Symmetric ADMMPoster
- CompMarkGS: Robust Watermarking for Compressed 3D Gaussian SplattingPoster
- Compactness and Consistency: A Conjoint Framework for Deep Graph ClusteringOral
- Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration TestingICLR 2026 ConditionalPoster
- Comparing the learning dynamics of in-context learning and fine-tuning in language modelsPoster
- CompassNav: Steering From Path Imitation to Decision Understanding In NavigationPoster
- Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty QuantificationPoster
- Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and DurationPoster
- Completing Missing Annotation: Multi-Agent Debate for Accurate and Scalable Relevant Assessment for IR BenchmarksPoster
- Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyondPoster
- Complexity- and Statistics-Guided Anomaly Detection in Time Series Foundation ModelsPoster
- CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMsPoster
- Composable Sparse Subnetworks via Maximum-Entropy PrinciplePoster
- Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level CompositionPoster
- Compose and Fuse: Revisiting the Foundational Bottlenecks in Multimodal ReasoningPoster
- Composer: A Search Framework for Hybrid Neural Architecture DesignPoster
- Composite Optimization with Error Feedback: the Dual Averaging ApproachPoster
- Composition of Memory Experts for Diffusion World ModelsPoster
- Composition-Grounded Instruction Synthesis for Visual ReasoningPoster
- Compositional Diffusion with Guided search for Long-Horizon PlanningOral
- Compositional Generalization from Learned Skills via CoT Training: A Theoretical and Structural Analysis for ReasoningPoster
- Compositional Generalization through Gradient Search in Nonparametric Latent SpacePoster
- Compositional Neuro-Symbolic Concepts in Neural ActivitiesPoster
- Compositional Visual Planning via Inference-Time Diffusion ScalingPoster
- Compositional amortized inference for large-scale hierarchical Bayesian modelsPoster
- Compositional-ARC: Assessing Systematic Generalization in Abstract Spatial ReasoningPoster
- Computational Bottlenecks for Denoising DiffusionsPoster
- Compute-Optimal Quantization-Aware TrainingPoster
- Computer Agent Arena: Toward Human-Centric Evaluation and Analysis of Computer-Use AgentsPoster
- ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use AgentsPoster
- Computing Equilibrium beyond Unilateral DeviationPoster
- ConRep4CO: Contrastive Representation Learning of Combinatorial Optimization Instances across TypesPoster
- Concept-Aware Privacy Mechanisms for Defending Embedding Inversion AttacksPoster
- Concept-TRAK: Understanding how diffusion models learn concepts through concept attributionPoster
- Concept-based Adversarial Attack: a Probabilistic PerspectivePoster
- Concepts' Information Bottleneck ModelsPoster
- Condition Errors Refinement in Autoregressive Image Generation with Diffusion LossPoster
- Condition Matters in Full-head 3D GANsPoster
- Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning ModelsPoster
- Conditional Independent Component Analysis For Estimating Causal Structure with Latent VariablesPoster
- Conditionally Whitened Generative Models for Probabilistic Time Series ForecastingPoster
- Conditioned Initialization for AttentionPoster
- ConfHit: Conformal Generative Design via Nested TestingPoster
- Confident Block Diagonal Structure-Aware Invariable Graph Completion for Incomplete Multi-view ClusteringPoster
- Confident and Adaptive Generative Speech Recognition via Conformal Risk ControlPoster
- Conformal Prediction for Long-Tailed ClassificationPoster
- Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weightingPoster
- Conformal Robustness Control: A New Strategy for Robust DecisionOral
- Conformalized Decision Risk AssessmentPoster
- Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive HashingPoster
- Conformalized Survival Counterfactuals Prediction for General Right-Censored DataPoster
- Conjuring Semantic SimilarityPoster
- Consis-GCPO: Consistency-Preserving Group Causal Preference Optimization for Vision CustomizationPoster
- ConsisDrive: Identity-Preserving Driving World Models for Video Generation by Instance MaskPoster
- Consistency Geodesic Bridge: Image Restoration with Pretrained Diffusion ModelsPoster
- Consistency-Driven Calibration and Matching for Few-Shot Class Incremental LearningPoster
- Consistent Low-Rank ApproximationPoster
- Consistent Noisy Latent Rewards for Trajectory Preference Optimization in Diffusion ModelsPoster
- Consistent Text-to-Image Generation via Scene De-ContextualizationPoster
- Consolidating Reinforcement Learning for Multimodal Discrete Diffusion ModelsPoster
- Constant Degree Matrix-Driven Incomplete Multi-View Clustering via Connectivity-Structure and Embedding Tensor LearningPoster
- Constantly Improving Image Models Need Constantly Improving BenchmarksPoster
- Constitutional Classifiers++: Production-Grade Defenses against Universal JailbreaksPoster
- Constrained Decoding of Diffusion LLMs with Context-Free GrammarsPoster
- Constrained Diffusion for Protein Design with Hard Structural ConstraintsPoster
- Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programmingPoster
- Constraint-guided Hardware-aware NAS through Gradient ModificationPoster
- Constructive Distortion: Improving MLLMs with Attention-Guided Image WarpingPoster
- Contact Wasserstein Geodesics for Non-Conservative Schrödinger BridgesPoster
- Contact-guided Real2Sim from Monocular Video with Planar Scene PrimitivesPoster
- Contamination Detection for VLMs Using Multi‑Modal Semantic PerturbationsPoster
- Content-Aware Mamba for Learned Image CompressionPoster
- Context Learning for Multi-Agent DiscussionPoster
- Context Tokens are Anchors: Understanding the Repetition Curse in Diffusion MLLMs from an Information Flow PerspectivePoster
- Context and Diversity Matter: The Emergence of In-Context Learning in World ModelsPoster
- Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learningPoster
- ContextBench: Modifying Contexts for Targeted Latent Activation and Behaviour ElicitationPoster
- ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance GenerationPoster
- ContextIF: Enhancing Instruction-Following through Context RewardPoster
- ContextNav: Towards Agentic Multimodal In-Context LearningPoster
- ContextPRM: Leveraging Contextual Coherence for multi-domain Test-Time ScalingPoster
- Contextual Causal Bayesian OptimisationPoster
- Contextual Similarity Distillation: Ensemble Uncertainties with a Single ModelPoster
- Contextual and Seasonal LSTMs for Time Series Anomaly DetectionPoster
- Continual Low-Rank Adapters for LLM-based Generative Recommender SystemsPoster
- Continual Unlearning for Text-to-Image Diffusion Models: A Regularization PerspectivePoster
- Continuous Audio Language ModelsPoster
- Continuous Chain of Thought Enables Parallel Exploration and ReasoningPoster
- Continuous Space-Time Video Super-Resolution with 3D Fourier FieldsPoster
- Continuous multinomial logistic regression for neural decodingPoster
- Continuous-Time Value Iteration for Multi-Agent Reinforcement LearningPoster
- Continuously Augmented Discrete Diffusion model for Categorical Generative ModelingPoster
- Continuum Transformers Perform In-Context Learning by Operator Gradient DescentPoster
- Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential EquationsPoster
- Contrastive Diffusion Guidance for Spatial Inverse ProblemsPoster
- Contrastive Predictive Coding Done Right for Mutual Information EstimationPoster
- Control Tax: The Price of Keeping AI in CheckPoster
- Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal ReasoningPoster
- Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-TuningPoster
- Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge GraphsPoster
- Controllable Sequence Editing for Biological and Clinical TrajectoriesPoster
- Controllable Video Generation with Provable DisentanglementPoster
- Controllable diffusion-based generation for multi-channel biological dataPoster
- Controlling Repetition in Protein Language ModelsPoster
- ConvRec-R1: Training LLM-based Conversational Recommender Systems with Reinforcement LearningPoster
- ConvT3: Structured State Kernels for Convolutional State Space ModelsPoster
- Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order OptimizationPoster
- Convergence Analysis of Tsetlin Machines under Noise-Free and Noisy Training Conditions: from $2$ Bits to $k$ BitsPoster
- Convergence Dynamics of Over-Parameterized Score Matching for a Single GaussianPoster
- Convergence of Muon with Newton-SchulzPoster
- Convergence of Regret Matching in Potential Games and Constrained OptimizationPoster
- Convergence of an actor-critic gradient flow for entropy regularised MDPs in general spacesPoster
- Convergent Differential Privacy Analysis for General Federated LearningPoster
- Convex Dominance in Deep Learning I: A Scaling Law of Loss and Learning RatePoster
- Convex Efficient CodingPoster
- CooperTrim: Adaptive Data Selection for Uncertainty-Aware Cooperative PerceptionPoster
- Cooperative Sheaf Neural NetworksPoster
- Copy-Paste to Mitigate Large Language Model HallucinationsPoster
- Corner Gradient DescentPoster
- Correlated Policy Optimization in Multi-Agent SubteamsPoster
- Correlations in the Data Lead to Semantically Rich Feature Geometry Under SuperpositionPoster
- CortiLife: A Unified Framework for Cortical Representation Learning across the LifespanPoster
- Cortical Policy: A Dual-Stream View Transformer for Robotic ManipulationPoster
- Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and PlanningPoster
- Cost-Aware Dynamic Tree Construction for Efficient Large Language Model InferencePoster
- Cost-of-Pass: An Economic Framework for Evaluating Language ModelsPoster
- CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question AnsweringOral
- Count Bridges enable Modeling and Deconvolving Transcriptomic DataPoster
- Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic RewardsPoster
- Counterfactual Explanations on Robust Perceptual GeodesicsPoster
- Counterfactual LLM-based Framework for Measuring Rhetorical StylePoster
- Counterfactual Reasoning for Retrieval-Augmented GenerationPoster
- Counterfactual Structural Causal BanditsPoster
- Coupled Transformer Autoencoder for Disentangling Multi-Region Neural Latent DynamicsPoster
- Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary LossOral
- Covariate-Guided Clusterwise Linear Regression for Generalization to Unseen DataPoster
- CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic DesignPoster
- Credit-Budgeted ICPC-Style Coding: When LLM Agents Must Pay for Every DecisionPoster
- Critical Confabulation: Can LLMs Hallucinate for Social Good?Poster
- Critical attention scaling in long-context transformersPoster
- Critic–Adviser–Reviser Cyclic Refinement: Towards High-Quality EMR Corpus Generation with LLMsPoster
- Critique-Coder: Enhancing Coder Models by Critique Reinforcement LearningPoster
- Critique-RL: Training Critiquing Language Models Through Two-Stage RL for Improved Discrimination and Constructive FeedbackPoster
- CroCoDiLight: Repurposing Cross-View Completion Encoders for RelightingPoster
- Cross-ControlNet: Training-Free Fusion of Multiple Conditions for Text-to-Image GenerationPoster
- Cross-Domain Lossy Compression via Rate- and Classification-Constrained Optimal TransportOral
- Cross-Domain Policy Optimization via Bellman Consistency and Hybrid CriticsPoster
- Cross-Embodied Co-Design for Dexterous HandsPoster
- Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot DatasetsPoster
- Cross-Modal Redundancy and the Geometry of Vision–Language EmbeddingsPoster
- Cross-Timestep: 3D Diffusion Model with Trans-temporal Memory LSTM and Adaptive Priori Decoding Strategy for Medical SegmentationPoster
- Cross-Tokenizer Likelihood Scoring Algorithms for Language Model DistillationPoster
- CrossPL: Systematic Evaluation of Large Language Models for Cross Programming Language Interoperating Code GenerationPoster
- CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision ModelsPoster
- CryoNet.Refine: A One-step Diffusion Model for Rapid Refinement of Structural Models with Cryo-EM Density Map RestraintsPoster
- CryoSplat: Gaussian Splatting for Cryo-EM Homogeneous ReconstructionPoster
- Ctrl-World: A Controllable Generative World Model for Robot ManipulationPoster
- CubeBench: Diagnosing Interactive, Long-Horizon Physical Intelligence under Partial ObservationsPoster
- Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment DatasetPoster
- Culture In a Frame: C$^3$B as a Comic-Based Benchmark for Multimodal Culturally AwarenessPoster
- Culture in Action: Evaluating Text-to-Image Models through Social ActivitiesPoster
- CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMsPoster
- Curation Leaks: Membership Inference Attacks against Data Curation for Machine LearningPoster
- Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM ReasoningPoster
- Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical DependencePoster
- Curvature-Guided Task Synergy for Skeleton based Temporal Action SegmentationPoster
- Customizing Visual Emotion Evaluation for MLLMs: An Open-vocabulary, Multifaceted, and Scalable ApproachPoster
- Cut Less, Fold More: Model Compression through the Lens of Projection GeometryPoster
- Cutting the Skip: Training Residual-Free TransformersPoster
- Cyber-Zero: Training Cybersecurity Agents without RuntimePoster
- CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at ScaleOral
- CyclicReflex: Improving Reasoning Models via Cyclical Reflection Token SchedulingPoster
- CylinderSplat: 3D Gaussian Splatting with Cylindrical Triplanes for Panoramic Novel View SynthesisPoster
- D$^2$GS: Depth-and-Density Guided Gaussian Splatting for Stable and Accurate Sparse-View ReconstructionPoster
- D&R: Recovery-based AI-Generated Text Detection via a Single Black-box LLM CallPoster
- D-AR: Diffusion via Autoregressive ModelsPoster
- D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous GraspingPoster
- D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AIPoster
- DA$^{2}$: Depth Anything in Any DirectionPoster
- DAComp: Benchmarking Data Agents across the Full Data Intelligence LifecyclePoster
- DADA: Dual Averaging with Distance AdaptationPoster
- DAG-Math: Graph-Guided Mathematical Reasoning in LLMsPoster
- DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTSPoster
- DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data SciencePoster
- DASH: Deterministic Attention Scheduling for High-throughput Reproducible LLM TrainingPoster
- DAVE: A VLM Vision Encoder for Document Understanding and Web AgentsPoster
- DCFold: Efficient Protein Structure Generation with Single Forward PassOral
- DEAS: DEtached value learning with Action Sequence for Scalable Offline RLPoster
ICLR accepted papers in other years
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