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

Mordal: Automated Pretrained Model Selection for Vision Language ModelsPoster
More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User PreferencesPoster
More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language ModelsPoster
Motion Prior Distillation in Time Reversal Sampling for Generative InbetweeningPoster
Motion-Aligned Word Embeddings for Text-to-Motion GenerationPoster
Motion-R1: Enhancing Motion Generation with Decomposed Chain-of-Thought and RL BindingPoster
MotionGPT3: Human Motion as a Second ModalityPoster
MotionSight: Boosting Fine-Grained Motion Understanding in Multimodal LLMsPoster
MotionStream: Real-Time Video Generation with Interactive Motion ControlsOral
MotionWeaver: Holistic 4D-Anchored Framework for Multi-Humanoid Image AnimationPoster
Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image ReconstructionPoster
Moving Beyond Medical Exams: A Clinician-Annotated Fairness Dataset of Real-World Tasks and Ambiguity in Mental HealthcarePoster
MrRoPE: Mixed-radix Rotary Position EmbeddingOral
Much Ado About Noising: Dispelling the Myths of Generative Robotic ControlPoster
Multi-Action Self-Improvement For Neural Combinatorial OptimizationPoster
Multi-Agent Debate with Memory MaskingPoster
Multi-Agent Design: Optimizing Agents with Better Prompts and TopologiesPoster
Multi-Agent Guided Policy OptimizationPoster
Multi-Armed Bandits with Minimum Aggregated Revenue ConstraintsPoster
Multi-Condition Conformal SelectionPoster
Multi-Domain Transferable Graph Gluing for Building Graph Foundation ModelsOral
Multi-Feature Quantized Self-Attention for Fair Large Language ModelsPoster
Multi-Head Low-Rank AttentionPoster
Multi-LCB: Extending LiveCodeBench to Multiple Programming LanguagesPoster
Multi-LLM Adaptive Conformal Inference for Reliable LLM ResponsePoster
Multi-Marginal Flow Matching with Adversarially Learnt InterpolantsPoster
Multi-Object System Identification from VideosPoster
Multi-ReduNet: Interpretable Class-Wise Decomposition of ReduNetPoster
Multi-Scale Diffusion-Guided Graph Learning with Power-Smoothing Random Walk Contrast for Multi-View ClusteringPoster
Multi-Scale Hypergraph Meets LLMs: Aligning Large Language Models for Time Series AnalysisPoster
Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of ExpertsPoster
Multi-Synaptic Cooperation: A Bio-Inspired Framework for Robust and Scalable Continual LearningPoster
Multi-Task Low-Rank Model AdaptationPoster
Multi-View Encoders for Performance Prediction in LLM-Based Agentic WorkflowsPoster
Multi-agent Coordination via Flow MatchingPoster
Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensionalPoster
Multi-objective Large Language Model Alignment with Hierarchical ExpertsPoster
Multi-state Protein Design with DynamicMPNNPoster
Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language ModelsPoster
MultiMat: Multimodal Program Synthesis for Procedural Materials using Large Multimodal ModelsPoster
Multifidelity Simulation-based Inference for Computationally Expensive SimulatorsPoster
Multilevel Control FunctionalPoster
Multilingual Routing in Mixture-of-ExpertsPoster
Multimodal Aligned Semantic Knowledge for Unpaired Image-text MatchingOral
Multimodal Classification via Total Correlation MaximizationPoster
Multimodal Dataset Distillation Made Simple by Prototype-guided Data SynthesisPoster
Multimodal Dataset Distillation via Phased Teacher ModelsPoster
Multimodal LLM-assisted Evolutionary Search for Programmatic Control PoliciesPoster
Multimodal Policy Internalization for Conversational AgentsPoster
Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMsPoster
Multiplayer Nash Preference OptimizationOral
Multiple Streams of Knowledge Retrieval: Enriching and Recalling in TransformersPoster
Multiple Token Divergence: Measuring and Steering In-Context Computation DensityPoster
Multiple-Prediction-Powered InferencePoster
Multiplicative Diffusion Models: Beyond Gaussian LatentsPoster
Multiverse Mechanica: A Testbed for Learning Game Mechanics via Counterfactual WorldsPoster
Muon Outperforms Adam in Tail-End Associative Memory LearningPoster
MuonBP: Faster Muon via Block-Periodic OrthogonalizationPoster
Musculoskeletal simulation of limb movement biomechanics in Drosophila melanogasterPoster
Music Flamingo: Scaling Music Understanding in Audio Language ModelsPoster
NAB: Neural Adaptive Binning for Sparse-View CT reconstructionPoster
NAIPv2: Debiased Pairwise Learning for Efficient Paper Quality EstimationPoster
NC-Bench and NCfold: A Benchmark and Closed-Loop Framework for RNA Non-Canonical Base-Pair PredictionPoster
NDAD: Negative-Direction Aware Decoding for Large Language Models via Controllable Hallucination Signal InjectionPoster
NEO — No-Optimization Test-Time Adaptation through Latent Re-CenteringPoster
NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow MatchingPoster
NFT: Bridging Supervised Learning and Reinforcement Learning in Math ReasoningPoster
NGS-Marker: Robust Native Watermarking for 3D Gaussian SplattingPoster
NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order OptimizationPoster
NIMO: a Nonlinear Interpretable MOdelPoster
NLI : Non-uniform Linear Interpolation Approximation of Nonlinear Operations for Efficient LLMs InferencePoster
NOVA3R: Non-pixel-aligned Visual Transformer for Amodal 3D ReconstructionPoster
NRGPT: An Energy-based Alternative for GPTPoster
Naming to Learn: Class Incremental Learning for Vision-Language Model with Unlabeled DataPoster
Nano3D: A Training-Free Approach for Efficient 3D Editing Without MasksPoster
NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video GenerationPoster
Narrow Finetuning Leaves Clearly Readable Traces in the Activation DifferencesPoster
Nasty Adversarial Training: A Probability Sparsity Perspective for Robustness EnhancementPoster
NatADiff: Adversarial Boundary Guidance for Natural Adversarial DiffusionPoster
Native Adaptive Solution Expansion for Diffusion-based Combinatorial OptimizationPoster
Native Reasoning Models: Training Language Models to Reason on Unverifiable DataPoster
Natural Identifiers for Privacy and Data Audits in Large Language ModelsPoster
Natural Language PDDL (NL-PDDL) for Open-world Goal-oriented Commonsense Regression Planning in Embodied AIPoster
Navigating the Accuracy-Size Trade-Off with Flexible Model MergingPoster
Navigating the Latent Space Dynamics of Neural ModelsOral
NeMo-map: Neural Implicit Flow Fields for Spatio-Temporal Motion MappingPoster
NePTune: A Neuro-Pythonic Framework for Tunable Compositional Reasoning on Vision-LanguagePoster
NeRV-Diffusion: Diffuse Implicit Neural Representation for Video SynthesisPoster
Near Optimal Robust Federated Learning Against Data Poisoning AttackPoster
Near-Optimal Online Deployment and Routing for Streaming LLMsPoster
Near-Optimal Sample Complexity Bounds for Constrained Average-Reward MDPsPoster
Near-Optimal Second-Order Guarantees for Model-Based Adversarial Imitation LearningPoster
Nearly Space-Optimal Graph and Hypergraph Sparsification in Insertion-Only Data StreamsPoster
Nearly-Optimal Bandit Learning in Stackelberg Games with Side InformationPoster
Nef-Net v2: Adapting Electrocardio Panorama in the wildPoster
Negative Pre-activations Differentiate SyntaxPoster
Negotiated Reasoning: On Provably Addressing Relative Over-GeneralizationPoster
Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining DatasetPoster
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced ReasoningPoster
Neodragon: Mobile Video Generation Using Diffusion TransformerPoster
Neologism Learning for Controllability and Self-VerbalizationPoster
Neon: Negative Extrapolation From Self-Training Improves Image GenerationOral
NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward NetworksPoster
Nesterov Finds GRAAL: Optimal and Adaptive Gradient Method for Convex OptimizationPoster
NetArena: Dynamically Generated LLM Benchmarks for Network ApplicationsPoster
NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer OptimizationPoster
Neural Collapse in Multi-Task LearningPoster
Neural Compression of 3D Meshes using Sparse Implicit RepresentationPoster
Neural Dynamics Self-Attention for Spiking TransformersPoster
Neural Force Field: Few-shot Learning of Generalized Physical ReasoningPoster
Neural Graduated Assignment for Maximum Common Edge SubgraphsPoster
Neural Hamilton--Jacobi Characteristic Flows for Optimal TransportPoster
Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid InteractionPoster
Neural Message-Passing on Attention Graphs for Hallucination DetectionPoster
Neural Multi-Objective Combinatorial Optimization for Flexible Job Shop Scheduling ProblemsPoster
Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic LimitPoster
Neural Optimal Transport Meets Multivariate Conformal PredictionPoster
Neural Posterior Estimation with Latent Basis ExpansionsPoster
Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement LearningPoster
Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with TransformersPoster
Neural Synchrony Between Socially Interacting Language ModelsPoster
Neural Theorem Proving for Verification Conditions: A Real-World BenchmarkPoster
Neural+Symbolic Approaches for Interpretable Actor-Critic Reinforcement LearningPoster
NeuralOS: Towards Simulating Operating Systems via Neural Generative ModelsPoster
Neuron-Aware Data Selection in Instruction Tuning for Large Language ModelsPoster
Neuron-Level Analysis of Cultural Understanding in Large Language ModelsPoster
Never Saddle: Reparameterized Steepest Descent as Mirror FlowPoster
New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis FrameworkPoster
Newton Method Revisited: Global Convergence Rates up to $O(1/k^3)$ for Stepsize Schedules and Linesearch ProceduresPoster
NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM AgentsPoster
NewtonGen: Physics-consistent and Controllable Text-to-Video Generation via Neural Newtonian DynamicsPoster
Next Visual Granularity GenerationPoster
Next-ToBE: Probabilistic Next Token-Bag Exploitation for Activating Anticipatory Capacity in LLMsPoster
NextQuill: Causal Preference Modeling for Enhancing LLM PersonalizationPoster
NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at ScaleOral
Neyman-Pearson Classification under Both Null and Alternative Distributions ShiftPoster
No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted EmbeddingsPoster
No Labels, No Problem: Training Visual Reasoners with Multimodal VerifiersPoster
No Pixel Left Behind: A Detail-Preserving Architecture for Robust High-Resolution AI-Generated Image DetectionPoster
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural NetworksPoster
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage ShapingPoster
No outlier channels but with outlier blocksPoster
No, of Course I Can! Deeper Fine-Tuning Attacks That Bypass Token-Level Safety MechanismsPoster
Noise Stability of Transformer ModelsPoster
Noise Tolerance of Distributionally Robust LearningPoster
Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific TuningPoster
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain GeneralizationPoster
NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion ModelsPoster
Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect JudgesPoster
Noisy-Pair Robust Representation Alignment for Positive-Unlabeled LearningPoster
Non-Asymptotic Analysis of (Sticky) Track-and-StopOral
Non-Asymptotic Analysis of Efficiency in Conformalized RegressionPoster
Non-Clashing Teaching in Graphs: Algorithms, Complexity, and BoundsPoster
Non-Collaborative User Simulators for Tool AgentsPoster
Non-Convex Federated Optimization under Cost-Aware Client SelectionOral
Nonparametric Contextual Online Bilateral TradePoster
Nonparametric Teaching of Attention LearnersPoster
Not All Bits Are Equal: How Model Scale Changes Memory-Optimal ReasoningPoster
Not All Clients Are Equal: Collaborative Model Personalization on Heterogeneous Multi-Modal ClientsPoster
Not All Documents Are What You Need for Extracting Instruction Tuning DataPoster
Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert ModelsPoster
Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper ReasoningPoster
Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMsPoster
Nudging the Boundaries of LLM ReasoningPoster
Null-Space Filtering for Data-free Continual Model Merging: Preserving Transparency, Promoting FidelityPoster
Numerion: A Multi-Hypercomplex Model for Time Series ForecastingPoster
NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical ContextPoster
Nüwa: Mending the Spatial Integrity Torn by VLM Token PruningPoster
OBS-Diff: Accurate Pruning For Diffusion Models in One-ShotPoster
OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image ReasoningPoster
OD$^3$: Optimization-free Dataset Distillation for Object DetectionPoster
ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian SplattingPoster
ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain NetworksPoster
ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?Poster
OFMU: OPTIMIZATION-DRIVEN FRAMEWORK FOR MACHINE UNLEARNINGPoster
ON THE ROLE OF IMPLICIT REGULARIZATION OF STOCHASTIC GRADIENT DESCENT IN GROUP ROBUSTNESSPoster
OPPO: Accelerating PPO-based RLHF via Pipeline OverlapPoster
OPRIDE: Efficient Offline Preference-based Reinforcement Learning via In-Dataset ExplorationPoster
OR-PRM: A Process Reward Model for Algorithmic Problem in Operations ResearchPoster
ORCaS: Unsupervised Depth Completion via Occluded Region Completion as SupervisionPoster
ORION: Decoupling and Alignment for Unified Autoregressive Understanding and GenerationPoster
OSCAR: Online Soft Compression for RAGPoster
OSIRIS: Bridging Analog Circuit Design and Machine Learning with Scalable Dataset GenerationPoster
OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use AgentsPoster
OVID: Open-Vocabulary Intrusion DetectionPoster
OVSeg3R: Learn Open-vocabulary Instance Segmentation from 2D via 3D ReconstructionPoster
OWL : Geometry-Aware Spatial Reasoning for Audio Large Language ModelsPoster
OWLEYE: ZERO-SHOT LEARNER FOR CROSSDOMAIN GRAPH DATA ANOMALY DETECTIONPoster
OXtal: An All-Atom Diffusion Model for Organic Crystal Structure PredictionPoster
Obfuscated Activations Bypass LLM Latent-Space DefensesPoster
Object Fidelity Diffusion for Remote Sensing Image GenerationPoster
Object-Centric Refinement for Enhanced Zero-Shot SegmentationPoster
Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement LearningPoster
Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired SearchPoster
OccDriver: Future Occupancy Guided Dual-branch Trajectory Planner in Autonomous DrivingPoster
Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement LearningPoster
Octax: Accelerated CHIP-8 Arcade Environments for Reinforcement Learning in JAXPoster
Off-Policy Evaluation for Ranking Policies under Deterministic Logging PoliciesPoster
Off-Policy Safe Reinforcement Learning with Cost-Constrained Optimistic ExplorationPoster
Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?Poster
OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!Poster
Offline Preference-Based Value OptimizationPoster
Offline Reinforcement Learning with Adaptive Feature FusionPoster
Omni-Captioner: Data Pipeline, Models, and Benchmark for Omni Detailed PerceptionPoster
Omni-IML: Towards Unified Interpretable Image Manipulation LocalizationPoster
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form PreferencesOral
Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview imagesPoster
Omni-Weather: Unified Multimodal Foundation Model for Weather Generation and UnderstandingPoster
Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy ResearchPoster
OmniActor: A Generalist GUI and Embodied Agent for 2D&3D WorldsPoster
OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT AnalysisPoster
OmniCVR: A Benchmark for Omni-Composed Video Retrieval with Vision, Audio, and TextPoster
OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware ReasoningPoster
OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal LearningPoster
OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural TokensPoster
OmniNav: A Unified Framework for Prospective Exploration and Visual-Language NavigationPoster
OmniPortrait: Fine-Grained Personalized Portrait Synthesis via Pivotal OptimizationPoster
OmniSTVG: Toward Spatio-Temporal Omni-Object Video GroundingICLR 2026 ConditionalPoster
OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language ModelsPoster
OmniText: A Training-Free Generalist for Controllable Text-Image ManipulationPoster
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMsPoster
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLMPoster
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World ModelingPoster
On Code-Induced Reasoning in LLMsPoster
On Coreset for LASSO Regression Problem with Sensitivity SamplingPoster
On Discovering Algorithms for Adversarial Imitation LearningPoster
On Discriminative vs. Generative classifiers: Rethinking MLLMs for Action UnderstandingPoster
On Entropy Control in LLM-RL AlgorithmsPoster
On Fairness of Task Arithmetic: The Role of Task VectorsPoster
On Measuring Influence in Avoiding Undesired FuturePoster
On Optimal Hyperparameters for Differentially Private Deep Transfer LearningPoster
On Powerful Ways to Generate: Autoregression, Diffusion, and BeyondPoster
On Predictability of Reinforcement Learning Dynamics for Large Language ModelsPoster
On Robustness of Vision-Language-Action Model against Multi-Modal PerturbationsPoster
On Smoothness Bounds for Non-Clairvoyant Scheduling with PredictionsPoster
On The Expressive Power of GNN DerivativesPoster
On The Fragility of Benchmark Contamination Detection in Reasoning ModelsPoster
On The Surprising Effectiveness of a Single Global Merging in Decentralized LearningOral
On Universality of Deep Equivariant NetworksPoster
On learning linear dynamical systems in context with attention layersPoster
On the $O(1/T)$ Convergence of Alternating Gradient Descent–Ascent in Bilinear GamesPoster
On the Alignment Between Supervised and Self-Supervised Contrastive LearningPoster
On the Bayes Inconsistency of Disagreement Discrepancy SurrogatesPoster
On the Benefits of Weight Normalization for Overparameterized Matrix SensingPoster
On the Computational Limits of AI4S-RL : A Unified $\varepsilon$-$N$ AnalysisPoster
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning RegimePoster
On the Convergence Direction of Gradient DescentPoster
On the Convergence of Two-Layer Kolmogorov-Arnold Networks with First-Layer TrainingPoster
On the Design of KL-Regularized Policy Gradient Algorithms for LLM ReasoningPoster
On the Design of One-step Diffusion via Shortcutting Flow PathsPoster
On the Direction of RLVR Updates for LLM Reasoning: Identification and ExploitationPoster
On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional StudyPoster
On the Expressive Power of GNNs for Boolean SatisfiabilityPoster
On the Expressiveness of State Space Models via Temporal LogicsPoster
On the Generalization Capacities of MLLMs for Spatial IntelligenceOral
On the Generalization of SFT: A Reinforcement Learning Perspective with Reward RectificationPoster
On the Impact of the Utility in Semivalue-based Data ValuationPoster
On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI AlignmentPoster
On the Interaction of Compressibility and Adversarial RobustnessPoster
On the Interpolation Effect of Score Smoothing in Diffusion ModelsPoster
On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted RemedyPoster
On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for SetsPoster
On the Mechanisms of Collaborative Learning in VAE RecommendersPoster
On the Predictive Power of Representation Dispersion in Language ModelsPoster
On the Reasoning Abilities of Masked Diffusion Language ModelsOral
On the Shelf Life of Finetuned LLM-Judges: Future Proofing, Backward Compatibility, and Question GeneralizationPoster
On the Spectral Differences Between NTK and CNTK and Their Implications for Point Cloud RecognitionPoster
On the Tension Between Optimality and Adversarial Robustness in Policy OptimizationPoster
On the Theoretical Limitations of Embedding-Based RetrievalPoster
On the Thinking-Language Modeling Gap in Large Language ModelsPoster
On the Universality and Complexity of GNN for Solving Second-order Cone ProgramsPoster
On the Wasserstein Geodesic Principal Component Analysis of probability measuresOral
On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption GenerationPoster
On the identifiability of causal graphs with multiple environmentsPoster
On the trade-off between expressivity and privacy in graph representation learningPoster
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic WeightingPoster
On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMsPoster
Once-More: Continuous Self-Correction for Large Language Models via Perplexity-Guided InterventionPoster
One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single DemonstrationPoster
One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided ExplorationPoster
One Model for All Tasks: Leveraging Efficient World Models in Multi-Task PlanningPoster
One Patch Doesn’t Fit All: Adaptive Patching for Native-Resolution Multimodal Large Language ModelsPoster
One Skill, Many Websites: Learning Generalizable Skills Through Polymorphic AbstractionPoster
One for Two: A Unified Framework for Imbalanced Graph Classification via Dynamic Balanced PrototypeOral
One protein is all you needPoster
One step further with Monte-Carlo sampler to guide diffusion betterPoster
One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual LearningPoster
One-Shot Exemplars for Class Grounding in Self-Supervised LearningPoster
One-Step Flow Q-Learning: Addressing the Diffusion Policy Bottleneck in Offline Reinforcement LearningPoster
One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offsPoster
One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single ImagePoster
OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive ReasoningPoster
Online Black-Box Prompt Optimization with Regret Guarantees under Noisy FeedbackPoster
Online Conformal Prediction with Adversarial Feedback via Regret MinimizationPoster
Online Decision Making with Generative Action SetsPoster
Online Decision-Focused LearningPoster
Online Inventory Optimization in Non-Stationary EnvironmentPoster
Online Learning and Equilibrium Computation with Ranking FeedbackOral
Online Minimization of Polarization and Disagreement via Low-Rank Matrix BanditsPoster
Online Navigation Refinement: Achieving Lane-Level Guidance by Associating Standard-Definition and Online Perception MapsPoster
Online Prediction of Stochastic Sequences with High Probability Regret BoundsPoster
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural NetworksPoster
Online Rounding and Learning Augmented Algorithms for Facility LocationPoster
Online time series prediction using feature adjustmentPoster
Only Brains Align with Brains: Cross-Region Patterns Expose Limits of Normative ModelsPoster
Open-Set Semantic Gaussian Splatting SLAM with Expandable RepresentationPoster
OpenAgentSafety: A Comprehensive Framework For Evaluating Real-World AI Agent SafetyPoster
OpenApps: Simulating Environment Variations to Measure UI Agent ReliabilityOral
OpenEstimate: Evaluating LLMs on Probabilistic Estimation with Real-World DataPoster
OpenFly: A COMPREHENSIVE PLATFORM FOR AERIAL VISION-LANGUAGE NAVIGATIONPoster
OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed TomographyPoster
OpenThoughts: Data Recipes for Reasoning ModelsOral
Operationalizing Data Minimization for Privacy-Preserving LLM PromptingPoster
Operator Learning with Domain Decomposition for Geometry Generalization in PDE SolvingPoster
Operator Theory-Driven Autoformulation of MDPs for Control of Queueing SystemsPoster
Opponent Shaping in LLM AgentsPoster
OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model MergingPoster
OptimSyn: Influence-Guided Rubrics Optimization for Synthetic Data GenerationPoster
Optimal Aggregation of LLM and PRM Signals for Efficient Test-Time ScalingPoster
Optimal Brain Restoration for Joint Quantization and Sparsification of LLMsPoster
Optimal Robust Subsidy Policies for Irrational Agent in Principal-Agent MDPsPoster
Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning TasksOral
Optimal Transport-Induced Samples against Out-of-Distribution OverconfidencePoster
Optimal transport unlocks end-to-end learning for single-molecule localizationPoster
OptimalThinkingBench: Evaluating Over and Underthinking in LLMsPoster
Optimas: Optimizing Compound AI Systems with Globally Aligned Local RewardsPoster
Optimistic Task Inference for Behavior Foundation ModelsOral
Optimizer Choice Matters For The Emergence of Neural CollapsePoster
Optimizing Agent Planning for Security and AutonomyPoster
Optimizing Canaries for Privacy Auditing with Metagradient DescentPoster
Optimizing Data Augmentation through Bayesian Model SelectionPoster
Optimizing ID Consistency in Multimodal Large Models: Facial Restoration via Alignment, Entanglement, and DisentanglementPoster
Oracle-efficient Hybrid Learning with Constrained AdversariesPoster
Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video GamesPoster
Orbital Transformers for Predicting Wavefunctions in Time-Dependent Density Functional TheoryPoster
OrchestrationBench: LLM-Driven Agentic Planning and Tool Use in Multi-Domain ScenariosPoster
OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning FrameworkPoster
OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective AlignmentPoster
OrthoRF: Exploring Orthogonality in Object-Centric RepresentationsPoster
OrthoSolver: A Neural Proper Orthogonal Decomposition Solver For PDEsPoster
Otters: An Energy-Efficient Spiking Transformer via Optical Time-to-First-Spike EncodingPoster
Out of the Memory Barrier: A Highly Memory-Efficient Training System for LLMs with Million-Token ContextsPoster
Out of the Shadows: Exploring a Latent Space for Neural Network VerificationPoster
Out-of-Distribution Graph Models MergingPoster
Output Supervision Can Obfuscate the Chain of ThoughtPoster
Overcoming Joint Intractability with Lossless Hierarchical Speculative DecodingOral
Overlap-Adaptive Regularization for Conditional Average Treatment Effect EstimationPoster
Overlap-weighted orthogonal meta-learner for treatment effect estimation over timePoster
Overparametrization bends the landscape: BBP transitions at initialization in simple Neural NetworksOral
Overshoot and Shrinkage in Classifier-Free Guidance: From Theory to PracticePoster
Oversmoothing, "Oversquashing'', Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine LearningPoster
Overthinking Reduction with Decoupled Rewards and Curriculum Data SchedulingOral
Overtone: Cyclic Patch Modulation for Cleaner, Faster Physics EmulatorsPoster
P$^2$-DPO:Grounding Hallucination in Perceptual Processing via Calibration Direct Preference OptimizationPoster
P-GenRM: Personalized Generative Reward Model with Test-time User-based ScalingOral
P2P: Automated Paper-to-Poster Generation and Fine-Grained BenchmarkPoster
P3D: Highly Scalable 3D Neural Surrogates for Physics Simulations with Global ContextPoster
PAC-Bayes bounds for cumulative loss in Continual LearningPoster
PACE: Pretrained Audio Continual LearningPoster
PACEbench: A Framework for Evaluating Practical AI Cyber-Exploitation CapabilitiesPoster
PAGE-4D: Disentangled Pose and Geometry Estimation for 4D PerceptionPoster
PALC: Preference Alignment via Logit CalibrationPoster
PAMDP: Interact to Persona Alignment via a Partially Observable Markov Decision ProcessPoster
PARD: Accelerating LLM Inference with Low‑Cost PARallel Draft Model AdaptationPoster
PAS: Estimating the target accuracy before domain adaptationPoster
PASER: Post-Training Data Selection for Efficient Pruned Large Language Model RecoveryPoster
PAT3D: Physics-Augmented Text-to-3D Scene GenerationPoster
PCB-Bench: Benchmarking LLMs for Printed Circuit Board Placement and RoutingPoster
PCLR: Progressively Compressed LoRA for Multimodal Continual Instruction TuningPoster
PCPO: Proportionate Credit Policy Optimization for Preference Alignment of Image Generation ModelsPoster
PD$^{2}$GS: Part-Level Decoupling and Continuous Deformation of Articulated Objects via Gaussian SplattingPoster
PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for TextPoster
PEAR: Phase Entropy Aware Reward for Efficient ReasoningPoster
PEERING INTO THE UNKNOWN: ACTIVE VIEW SELECTION WITH NEURAL UNCERTAINTY MAPS FOR 3D RECONSTRUCTIONPoster
PERK: Long-Context Reasoning as Parameter-Efficient Test-Time LearningPoster
PERSISTENCE SPHERES: BI-CONTINUOUS REPRESENTATIONS OF PERSISTENCE DIAGRAMS.Poster
PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector AlgebraPoster
PETRI: Learning Unified Cell Embeddings from Unpaired Modalities via Early-Fusion Joint ReconstructionPoster
PGRF-Net: A Prototype-Guided Relational Fusion Network for Diagnostic Multivariate Time-Series Anomaly DetectionPoster
PHAT: Modeling Period Heterogeneity for Multivariate Time Series ForecastingPoster
PHyCLIP: $\ell_1$-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation LearningPoster
PI-Light: Physics-Inspired Diffusion for Full-Image RelightingPoster
PICABench: How Far are We from Physical Realistic Image Editing?Poster
PICS: Pairwise Image Compositing with Spatial InteractionsPoster
PILOT-Bench: Probabilistic Interaction for LLM Operations in Tool-driven ScenariosPoster
PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series TasksPoster
PIRN: Prototypical-based Intra-modal Reconstruction with Normality Communication for Multi-modal Anomaly Detection.Poster
PLAGUE: Plug-and-play Framework for Lifelong Adaptive Generation of Multi-turn ExploitsPoster
PLANETALIGN: A Comprehensive Python Library for Benchmarking Network AlignmentPoster
PLoP: Precise LoRA Placement for Efficient Finetuning of Large ModelsPoster
PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMsPoster
PMDformer: Patch-Mean Decoupling Transformer for Long-term ForecastingPoster
PMark: Towards Robust and Distortion-free Semantic-level Watermarking with Channel ConstraintsPoster
POEMetric: The Last Stanza of HumanityPoster
PPE: Positional Preservation Embedding for Token Compression in Multimodal Large Language ModelsPoster
PPLLaVA: Varied Video Sequence Understanding With Prompt GuidancePoster
PRISM-Physics: Causal DAG-Based Process Evaluation for Physics ReasoningPoster
PRISM: Controllable Diffusion for Compound Image Restoration with Scientific FidelityPoster
PRISM: Enhancing PRotein Inverse Folding through Fine- Grained Retrieval on Structure-Sequence Multimodal RepresentationsPoster
PRISM: Festina Lente Proactivity—Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive AgentsPoster
PRISM: Partial-label Relational Inference with Spatial and Spectral CuesPoster
PRISM: Progressive Robust Learning for Open-World Continual Category DiscoveryPoster
PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal InconsistenciesPoster
PRISON: Unmasking the Criminal Potential of Large Language ModelsPoster
PRO-MOF: Policy Optimization with Universal Atomistic Models for Controllable MOF GenerationPoster
PROS: Towards Compute-Efficient RLVR via Rollout Prefix ReusePoster
PROTDYN: A FOUNDATION PROTEIN LANGUAGE MODEL FOR THERMODYNAMICS AND DYNAMICS GENERATIONPoster
PSDNorm: Temporal Normalization for Deep Learning in Sleep StagingPoster
PSP: Prompt-Guided Self-Training Sampling Policy for Active Prompt LearningPoster
PT$^2$-LLM: Post-Training Ternarization for Large Language ModelsPoster
PTNET: A PROPOSAL-CENTRIC TRANSFORMER NET- WORK FOR 3D OBJECT DETECTIONPoster
PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation ModelsPoster
PU-BENCH: A UNIFIED BENCHMARK FOR RIGOROUS AND REPRODUCIBLE PU LEARNINGPoster
PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification BenchmarksPoster
PaAno: Patch-Based Representation Learning for Time-Series Anomaly DetectionPoster
PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow ModelsPoster
Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent PathfindingPoster
Pallatom-Ligand: an All-Atom Diffusion Model for Designing Ligand-Binding ProteinsPoster
Panda: A pretrained forecast model for chaotic dynamicsPoster
Panoptic Pairwise Distortion GraphPoster
Paper Copilot: Tracking the Evolution of Peer Review in AI ConferencesPoster
Paper2Code: Automating Code Generation from Scientific Papers in Machine LearningPoster
ParaS2S: Benchmarking and Aligning Spoken Language Models for Paralinguistic-aware Speech-to-Speech InteractionPoster
Paradigm Shift of GNN Explainer from Label Space to Prototypical Representation SpacePoster
Parallel Multimodal Diffusion Language Models for Thinking-Aware Editing and GenerationPoster
Parallel Sampling from Masked Diffusion Models via Conditional Independence TestingPoster
Parallel Token Generation for Language ModelsPoster
Parallel-R1: Towards Parallel Thinking via Reinforcement LearningPoster
ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMsPoster
Parameter-Efficient Reinforcement Learning using Prefix OptimizationPoster
Parameterization-Based Dataset Distillation of 3D Point Clouds through Learnable Shape MorphingPoster
Parameterized Hardness of Zonotope Containment and Neural Network VerificationPoster
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language ModelsPoster
Pareto Variational AutoencoderPoster
Pareto-Conditioned Diffusion Models for Offline Multi-Objective OptimizationOral
ParoQuant: Pairwise Rotation Quantization for Efficient Reasoning LLM InferencePoster
Part-X-MLLM: Part-aware 3D Multimodal Large Language ModelPoster
Part-level Semantic-guided Contrastive Learning for Fine-grained Visual ClassificationPoster
PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D DataPoster
Partially Equivariant Reinforcement Learning in Symmetry-Breaking EnvironmentsPoster
Partition Generative Modeling: Masked Modeling Without MasksOral
Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMsPoster
PatchDNA: A Flexible and Biologically-Informed Alternative to Tokenization for DNAPoster
PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth EstimationPoster
Patching Gaps In LLM Reasoning With Interventional TrainingPoster
Path Channels and Plan Extension Kernels: a Mechanistic Description of Planning in a Sokoban RNNPoster
Path Matters: Unveiling Geometric Implicit Bias via Curvature-Aware Sparse View OptimizationPoster
PathChat-SegR1: Reasoning Segmentation in Pathology via SO-GRPOPoster
Patronus: Interpretable Diffusion Models with PrototypesPoster
Pay Attention to CTC: Fast and Robust Pseudo-Labelling for Unified Speech RecognitionPoster
Pay Less Attention to Function Words for Free Robustness of Vision-Language ModelsPoster
Peak-Return Greedy Slicing: Subtrajectory Selection for Transformer-based Offline RLPoster
Pedagogically-Inspired Data Synthesis for Language Model Knowledge DistillationPoster
Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement LearningPoster
PepBenchmark: A Standardized Benchmark for Peptide Machine LearningPoster
PepTri: Tri-Guided All-Atom Diffusion for Peptide Design via Physics, Evolution, and Mutual InformationPoster
PerFit: Exploring Personalization Shifts in Representation Space of LLMsPoster
PerSpectra: A Scalable and Configurable Pluralist Benchmark of Perspectives from ArgumentsPoster
Perception-Aware Policy Optimization for Multimodal ReasoningPoster
Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception RewardPoster
PerfGuard: A Performance-Aware Agent for Visual Content GenerationPoster
Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label ClassificationPoster
Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to ModelsPoster
Persona Features Control Emergent MisalignmentPoster
PersonaX: Multimodal Datasets with LLM-Inferred Behavior TraitsPoster
Personalized Collaborative Learning with Affinity-Based Variance ReductionPoster
Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation MethodPoster
Personalized Reasoning: Just-in-time Personalization and Why LLMs Fail at ItPoster
Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear ClassifiersPoster
Perturbed Dynamic Time Warping: A Probabilistic Framework and Generalized VariantsPoster
PetaGAIL++: Utility Optimized Private Trajectory Generation with Imitation LearningOral
Phantom-Data: Towards a General Subject-Consistent Video Generation DatasetPoster
PhaseFormer: From Patches to Phases for Efficient and Effective Time Series ForecastingPoster
Photon: Speedup Volume Understanding with Efficient Multimodal Large Language ModelsPoster
PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene ArrangementPoster
PhysLLM: Harnessing Large Language Models for Cross-Modal Remote Physiological SensingPoster
Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel ProjectionPoster
Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated ScreensPoster
Physics vs Distributions: Pareto Optimal Flow Matching with Physics ConstraintsPoster
Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse ProblemsPoster
Physics-Informed Audio-Geometry-Grid Representation Learning for Universal Sound Source LocalizationPoster
Physics-Informed Inference Time Scaling for Solving High-Dimensional Partial Differential EquationsPoster
Physics-Inspired All-Pair Interaction Learning for 3D Dynamics ModelingPoster
Physics-informed learning under mixing: How physical knowledge speeds up learningPoster
Pi-CCA: Prompt-Invariant CCA Certificates for Replay-Free Continual Multimodal LearningPoster
PiCa: Parameter-Efficient Fine-Tuning with Column Space ProjectionPoster
Pinet: Optimizing hard-constrained neural networks with orthogonal projection layersOral
Pisces: Cryptography-based Private Retrieval-Augmented Generation with Dual-Path RetrievalPoster
Pitfalls in Evaluating Language Model ForecastersPoster
PixNerd: Pixel Neural Field DiffusionPoster
Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian ModelingPoster
Pixel-Level Residual Diffusion Transformer: Scalable 3D CT Volume GenerationPoster
Pixel-Perfect Puppetry: Precision-Guided Enhancement for Face Image and Video EditingPoster
Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face ReconstructionPoster
PixelCraft: A Multi-Agent system for High-Fidelity Visual Reasoning on Structured ImagesPoster
PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action ModelPoster
Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language ModelsPoster
Plan then Act: Bi-level CAD Command Sequence GenerationPoster
Plan-Answer-Refine-on-Graph: Structured Planning and Self-Refinement for Large Language Model Reasoning on Knowledge GraphsPoster
Plan-R1: Safe and Feasible Trajectory Planning as Language ModelingPoster
Planned DiffusionPoster
Planner Aware Path Learning in Diffusion Language Models TrainingOral
Planning with an Embodied Learnable MemoryPoster
PlantRSR: A New Plant Dataset and Method for Reference-based Super-ResolutionPoster
Play to Generalize: Learning to Reason Through Game PlayPoster
Plug, Play, and Fortify: A Low-Cost Module for Robust Multimodal Image Understanding ModelsPoster
Plug-and-Play Compositionality for Boosting Continual Learning with Foundation ModelsOral
Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error MinimizationPoster
PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI HarmPoster
PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual SimilarityPoster
PoSh: Using Scene Graphs to Guide LLMs-as-a-Judge for Detailed Image DescriptionsPoster
PoinnCARE: Hyperbolic Multi-Modal Learning for Enzyme ClassificationPoster
Point Prompting: Counterfactual Tracking with Video Diffusion ModelsPoster
Point-Focused Attention Meets Context-Scan State Space: Robust Biological Visual Perception for Point Cloud RepresentationPoster
Point-MoE: Large-Scale Multi-Dataset Training with Mixture-of-Experts for 3D Semantic SegmentationPoster
Point-UQ: An Uncertainty-Quantification Paradigm for Point Cloud Few-Shot Class Incremental LearningPoster
Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and UtilizationPoster
PointRePar : SpatioTemporal Point Relation Parsing for Robust Category-Unified 3D TrackingPoster
Poisson Midpoint Method for Log Concave Sampling: Beyond the Strong Error Lower BoundsPoster
PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus ObjectivesPoster
Policy Contrastive Decoding for Robotic Foundation ModelsPoster
Policy Likelihood-based Query Sampling and Critic-Exploited Reset for Efficient Preference-based Reinforcement LearningPoster
Policy Newton Algorithm in Reproducing Kernel Hilbert SpacePoster
PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement LearningPoster
Poly-attention: a general scheme for higher-order self-attentionPoster
PolyGraph Discrepancy: a classifier-based metric for graph generationPoster
PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial RegressionPoster
Polychromic Objectives for Reinforcement LearningPoster
Polynomial Convergence of Riemannian Diffusion ModelsPoster
Polynomial, trigonometric, and tropical activationsPoster
PonderLM: Pretraining Language Models to Ponder in Continuous SpacePoster
Pose Prior Learner: Unsupervised Categorical Prior Learning for Pose EstimationPoster
Pose-RFT: Aligning MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-TuningPoster
PoseX: AI Defeats Physics-based Methods on Protein Ligand Cross-DockingPoster
Positional Encoding FieldPoster
Post-Training Quantization for Video MattingPoster
Post-hoc Probabilistic Vision-Language ModelsPoster
Post-training Large Language Models for Diverse High-Quality ResponsesPoster
PostAlign: Multimodal Grounding as a Corrective Lens for MLLMsPoster
PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified FrameworkPoster
Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement LearningPoster
Practical estimation of the optimal classification error with soft labels and calibrationPoster
Pragma-VL: Towards a Pragmatic Arbitration of Safety and Helpfulness in MLLMsPoster
Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-TuningPoster
Pre-training Limited Memory Language Models with Internal and External KnowledgePoster
Pre-training under infinite computeOral
Precise and Interpretable Editing of Code Knowledge in Large Language ModelsPoster
PreciseCache: Precise Feature Caching for Efficient and High-fidelity Video GenerationPoster
PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural NetworksPoster
Predicting Kernel Regression Learning Curves from Only Raw Data StatisticsPoster
Predicting LLM Output Length via Entropy-Guided RepresentationsPoster
Predicting LLM Reasoning Performance with Small Proxy ModelPoster
Predicting Training Re-evaluation Curves Enables Effective Data Curriculums for LLMsPoster
Prediction with Expert Advice under Local Differential PrivacyPoster
Predictive CVaR Q-learningPoster
Predictive Differential Training Guided by Training DynamicsPoster
PreferThinker: Reasoning-based Personalized Image Preference AssessmentPoster
Preference Leakage: A Contamination Problem in LLM-as-a-judgePoster
Preference-based Policy Optimization from Sparse-reward Offline DatasetPoster
PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from AttentionPoster
Premise Selection for a Lean HammerOral
Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic PresentationsPoster
Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional DriftPoster
Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot LearningPoster
Preserving Forgery Artifacts: AI-Generated Video Detection at Native ScalePoster
Pretrain Value, Not Reward: Decoupled Value Policy OptimizationPoster
Pretraining Scaling Laws for Generative Evaluations of Language ModelsPoster
Pretraining with Re-parametrized Self-Attention: Unlocking Generalizationin SNN-Based Neural Decoding Across Time, Brains, and TasksPoster
Pretraining with hierarchical memories: separating long-tail and common knowledgePoster
Pretrain–Test Task Alignment Governs Generalization in In-Context LearningPoster
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge RegressionPoster
Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality DataPoster
Prima.cpp: Fast 30-70B LLM Inference on Heterogeneous and Low-Resource Home ClustersPoster
Primal-Dual Policy Optimization for Adversarial Linear CMDPsPoster
Primary-Fine Decoupling for Action Generation in Robotic ImitationPoster
Principled Fast and Meta Knowledge Learners for Continual Reinforcement LearningPoster
Principled RL for Diffusion LLMs Emerges from a Sequence-Level PerspectivePoster
Prior-aware and Context-guided Group Sampling for Active Probabilistic SubsamplingPoster
Prior-based Noisy Text Data Filtering: Fast and Strong Alternative For PerplexityPoster
Prior-free Tabular Test-time AdaptationPoster
PriorGuide: Test-Time Prior Adaptation for Simulation-Based InferencePoster
Priors in time: Missing inductive biases for language model interpretabilityPoster
PrismAudio: Decomposed Chain-of-Thought and Multi-dimensional Rewards for Video-to-Audio GenerationPoster
Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video UnderstandingPoster
Privacy-Protected Causal Survival Analysis Under Distribution ShiftPoster
Private Rate-Constrained Optimization with Applications to Fair LearningPoster
ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant SimulationPoster
ProRe: A Proactive Reward System for GUI Agents via Reasoner–Actor CollaborationPoster
ProReGen: Progressive Residual Generation under Attribute CorrelationsPoster
ProSafePrune: Projected Safety Pruning for Mitigating Over-Refusal in LLMsPoster
Probabilistic Kernel Function for Fast Angle TestingOral
Probability Distributions Computed by Autoregressive TransformersPoster
Probing Rotary Position Embeddings through Frequency EntropyPoster
Probing in the Dark: State Entropy Maximization for POMDPsPoster
Probing to Refine: Reinforcement Distillation of LLM Reasoners via Explanatory InversionPoster
Procedural Mistake Detection via Action Effect ModelingPoster
Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering AgentsPoster
Process-Verified Reinforcement Learning for Theorem Proving via LeanPoster
Product of Experts for Visual GenerationPoster
Product-Quantised Image Representation for High-Quality Image SynthesisPoster
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and JudgePoster
Programming by Backprop: Learning Behaviour from Symbolic DescriptionsPoster
Programming with Pixels: Can Computer-Use Agents do Software Engineering?Poster
Progressive Gaussian Transformer with Anisotropy-aware Sampling for Open Vocabulary Occupancy PredictionPoster
Progressive Online Video Understanding with Evidence-Aligned Timing and Transparent DecisionsPoster
Projected Coupled Diffusion for Test-Time Constrained Joint GenerationPoster
Prompt Curriculum Learning for Efficient LLM Post-TrainingPoster
Prompt and Parameter Co-Optimization for Large Language ModelsPoster
Prompt-MII: Meta-Learning Instruction Induction for LLMsPoster
Prompt-Robust Vision-Language Models via Meta-FinetuningPoster
PromptHub: Enhancing Multi-Prompt Visual In-Context Learning with Locality-Aware Fusion, Concentration and AlignmentPoster
ProofBridge: Auto-Formalization of Natural Language Proofs in Lean via Joint EmbeddingsPoster
ProofFlow: A Dependency Graph Approach to Faithful Proof AutoformalizationPoster
ProofOptimizer: Training Language Models to Simplify Proofs without Human DemonstrationsPoster
Propaganda AI: An Analysis of Semantic Divergence in Large Language ModelsPoster
PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic ApproachPoster
Proper Velocity Neural NetworksPoster
Property-Driven Protein Inverse Folding with Multi-Objective Preference AlignmentPoster
Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?Poster
ProstaTD: Bridging Surgical Triplet from Classification to Fully Supervised DetectionPoster
Protection against Source Inference Attacks in Federated LearningPoster
Protein Structure Tokenization via Geometric Byte Pair EncodingPoster
ProteinAE: Protein Diffusion Autoencoders for Structure EncodingPoster
ProtoKV: Long-context Knowledges Are Already Well-Organized Before Your QueryPoster
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series ForecastingPoster
Provable Separations between Memorization and Generalization in Diffusion ModelsPoster
Provably Accelerated Imaging with Restarted Inertia and Score-based Image PriorsPoster
Provably Explaining Neural Additive ModelsPoster
Provably Tracking Equivalent Mechanistic Interpretations Across Neural NetworksPoster
Proving the Limited Scalability of Centralized Distributed Optimization via a New Lower Bound ConstructionPoster
Proximal Diffusion Neural SamplerPoster
Proximal Supervised Fine-TuningPoster
ProxyAttn: Guided Sparse Attention via Representative HeadsPoster
ProxyThinker: Test-Time Guidance through Small Visual ReasonersPoster
Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-DiversityPoster
Prune-then-Quantize or Quantize-then-Prune? Understanding the Impact of Compression Order in Joint Model CompressionPoster
Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference OptimizationPoster
Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language ModelsPoster
Pseudo-Non-Linear Data Augmentation: A Constrained Energy Minimization ViewpointPoster
Pulp Motion: Framing-aware multimodal camera and human motion generationPoster
Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean ReferencePoster
Purrception: Variational Flow Matching for Vector-Quantized Image GenerationPoster
Pursuing Minimal Sufficiency in Spatial ReasoningPoster
Pusa V1.0: Unlocking Temporal Control in Pretrained Video Diffusion Models via Vectorized Timestep AdaptationPoster
Pushing Test-Time Scaling Limits of Deep Search with Asymmetric VerificationPoster
Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-ThoughtPoster
PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in PuzzlehuntsPoster
Pyramid Patchification Flow for Visual GenerationPoster
Q&C: When Quantization Meets Cache in Efficient GenerationPoster
Q-Learning with Adjoint MatchingPoster
Q-Learning with Fine-Grained Gap-Dependent RegretPoster
Q-RAG: Long Context Multi‑Step Retrieval via Value‑Based Embedder TrainingOral
Q-learning with Posterior SamplingPoster
QKV Projections Require a Fraction of Their MemoryPoster
QLCoder: A Query Synthesizer For Static Analysis of Security VulnerabilitiesPoster
QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without RetrainingPoster
QPrompt-R1: Real-Time Reasoning for Domain-Generalized Semantic Segmentation via Group-Relative Query AlignmentPoster
QUEST: A robust attention formulation using query-modulated spherical attentionPoster
QVGen: Pushing the Limit of Quantized Video Generative ModelsPoster
QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language ModelsPoster
QeRL: Beyond Efficiency - Quantization-enhanced Reinforcement Learning for LLMsPoster
Qronos: Correcting the Past by Shaping the Future... in Post-Training QuantizationPoster
QuRL: Low-Precision Reinforcement Learning for Efficient ReasoningPoster
QuRL: Rubrics As Judge For Open-Ended Question AnsweringPoster
QuaMo: Quaternion Motions for Vision-based 3D Human Kinematics CapturePoster
QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive ModelsPoster
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast ModelsPoster
Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use InsteadPoster
Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language ModelsPoster
QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention SparsificationPoster
Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC BindingPoster
Quantile Advantage Estimation for Entropy-Safe ReasoningPoster
Quantitative Bounds for Length Generalization in TransformersOral
Quantization-Aware Diffusion Models For Maximum Likelihood TrainingPoster
Quantized Gradient Projection for Memory-Efficient Continual LearningPoster
Quantized Visual Geometry Grounded TransformerPoster
Quantum machine learning advantages beyond hardness of evaluationPoster
Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry GuidancePoster
Quasi-Equivariant MetanetworksPoster
Quasi-Monte Carlo Methods Enable Extremely Low-Dimensional Deep Generative ModelsPoster
Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval GuaranteesPoster
Query-Guided Spatial–Temporal–Frequency Interaction for Music Audio–Visual Question AnsweringPoster
Query-Level Uncertainty in Large Language ModelsPoster
Query-Specific Causal Graph Pruning Under Tiered KnowledgePoster
QueryStream: Advancing Streaming Video Understanding with Query-Aware Pruning and Proactive ResponsePoster
QuestA: Expanding Reasoning Capacity in LLMs via Question AugmentationPoster
Queue Length Regret Bounds for Contextual Queueing BanditsPoster
QuoKA: Query-Oriented KV Selection for Efficient LLM PrefillPoster
Quotient-Space Diffusion ModelOral
R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?Poster
R-WoM: Retrieval-augmented World Model For Computer-use AgentsPoster
R-Zero: Self-Evolving Reasoning LLM from Zero DataPoster
R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement LearningPoster
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement LearningPoster
R2-Dreamer: Redundancy-Reduced World Models without Decoders or AugmentationPoster
R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial ObservabilityPoster
R4: Nested Reasoning-Retrieval for Reward Modeling in Role-Playing AgentsPoster
RACE Attention: A Strictly Linear-Time Attention for Long-Sequence TrainingPoster
RADAR: Learning to Route with Asymmetry-aware Distance RepresentationsPoster
RADAR: Reasoning–Ability and Difficulty-Aware Routing in Language ModelsPoster
RAEE: A Robust Retrieval-Augmented Early Exit Framework for Efficient InferencePoster
RAG4DMC: Retrieval-Augmented Generation for Data-Level Modality CompletionPoster
RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking FormatOral
RAP: 3D Rasterization Augmented End-to-End PlanningPoster
RAPID$^3$: Tri-Level Reinforced Acceleration Policies for Diffusion TransformerPoster
RAR: Reversing Visual Attention Re-Sinking for Unlocking Potential in Multimodal Large Language ModelsPoster
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM GenerationPoster
RATE-DISTORTION OPTIMIZED COMMUNICATION FOR COLLABORATIVE PERCEPTIONPoster
RAVEN: End-to-end Equivariant Robot Learning with RGB CamerasPoster
RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture UnderstandingPoster
RCPU: Rotation-Constrained Error Compensation for Structured Pruning of a Large Language ModelPoster
RD-HRL: Generating Reliable Sub-Goals for Long-Horizon Sparse-Reward TasksPoster
REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient ReasoningPoster
REAL: Reading Out Transformer Activations for Precise Localization in Language Model SteeringPoster
REAP the Experts: Why Pruning Prevails for One-Shot MoE compressionPoster
RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint DataPoster
RECODE: A Benchmark for Research Code DEvelopment with Interactive Human FeedbackPoster
RECON: Robust symmetry discovery via Explicit Canonical Orientation NormalizationPoster
REI-Bench: Can Embodied Agents Understand Vague Human Instructions in Task Planning?Poster
REMem: Reasoning with Episodic Memory in Language AgentPoster
RESA: Bringing Back What Sparse Attention Ignores with Residual EstimationPoster
RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified StatesPoster
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and UtilityPoster
RESTRAIN: From Spurious Votes to Signals — Self-Training RL with Self-PenalizationPoster
RF-DETR: Neural Architecture Search for Real-Time Detection TransformersPoster
RF-MatID: Dataset and Benchmark for Radio Frequency Material IdentificationPoster
RFEval: Benchmarking Reasoning Faithfulness under Counterfactual Reasoning Intervention in Large Reasoning ModelsPoster
RFS: Reinforcement learning with Residual flow steering for dexterous manipulationPoster
RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided DiffusionPoster
RIG: Synergizing Reasoning and Imagination in End-to-End Generalist PolicyPoster
RIVER: Real-time Video Interaction BenchmarkPoster
RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMsPoster
RL for Reasoning by Adaptively Revealing RationalesPoster
RL makes MLLMs see better than SFTPoster
RL of Thoughts: Navigating LLM Reasoning with Inference-time Reinforcement LearningPoster
RL's Razor: Why Online Reinforcement Learning Forgets LessPoster
RLAD: Training LLMs to Discover Abstractions for Solving Reasoning ProblemsPoster
RLAP-CLIP: Continual Multimodal Learning with Prototype Adaptation and Difficulty-Aware RoutingPoster
RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable RewardsPoster
RLP: Reinforcement as a Pretraining ObjectivePoster
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic AgentsPoster
RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon AgentsPoster
RM-R1: Reward Modeling as ReasoningPoster
RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context TransformersPoster
RMFlow: Refined Mean Flow by a Noise-Injection Step for Multimodal GenerationPoster
RNE: plug-and-play diffusion inference-time control and energy-based trainingPoster
ROC-n-reroll: How verifier imperfection affects test-time scalingPoster
ROGA: Scaling Generalist Agents for Office Productivity Tasks via Tool GenerationPoster
ROSETTA: Constructing Code-Based Reward from Unconstrained Language PreferencePoster
ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal GenerationPoster
RPG: A Repository Planning Graph for Unified and Scalable Codebase GenerationPoster
RPM: Reasoning-Level Personalization for Black-Box Large Language ModelsPoster
Radiometrically Consistent Gaussian Surfels for Inverse RenderingOral
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 HoursPoster
Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMsPoster
Random Anchors with Low-rank Decorrelated Learning: A Minimalist Pipeline for Class-Incremental Medical Image ClassificationPoster
Random Controlled Differential EquationsPoster
Random Label Prediction Heads for Studying Memorization in Deep Neural NetworksPoster
Random Policy Valuation is Enough for LLM Reasoning with Verifiable RewardsPoster
Random Spiking Neural Networks are Stable and Spectrally SimplePoster
Random-projection ensemble dimension reductionPoster
Randomization Boosts KV Caching, Learning Balances Query Load: A Joint PerspectivePoster
Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM UnlearningPoster
RankFlow: Property-aware Transport for Protein OptimizationPoster
RankLLM: Weighted Ranking of LLMs by Quantifying Question DifficultyPoster
Rapid Training of Hamiltonian Graph Networks Using Random FeaturesPoster
Rating Quality of Diverse Time Series Data by Meta-learning from LLM JudgmentPoster
RayI2P: Learning Rays for Image-to-Point Cloud RegistrationPoster
ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading FailuresPoster
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous DrivingPoster
ReDDiT: Rehashing Noise for Discrete Visual GenerationPoster
ReFORM: Reflected Flows for On-support Offline RL via Noise ManipulationPoster
ReFocusEraser: Refocusing for Small Object Removal with Robust Context-Shadow RepairPoster
ReForm: Reflective Autoformalization with Prospective Bounded Sequence OptimizationPoster
ReFusion: A Diffusion Large Language Model with Parallel Autoregressive DecodingPoster
ReIn: Conversational Error Recovery with Reasoning InceptionPoster
ReLaSH: Reconstructing Joint Latent Spaces for Efficient Generation of Synthetic Hypergraphs with Hyperlink AttributesPoster
ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled IlluminationPoster
RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement LearningPoster
ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal SmoothingPoster
ReSplat: Degradation-agnostic Feed-forward Gaussian Splatting via Self-guided Residual DiffusionPoster
ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly DetectionPoster
ReTool: Reinforcement Learning for Strategic Tool Use in LLMsPoster
ReTrace: Reinforcement Learning-Guided Reconstruction Attacks on Machine UnlearningPoster
ReVeal: Self-Evolving Code Agents via Reliable Self-VerificationPoster
ReWatch-R1: Boosting Complex Video Reasoning in Large Vision-Language Models through Agentic Data SynthesisPoster
ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance GenerationPoster
ReactID: Synchronizing Realistic Actions and Identity in Personalized Video GenerationPoster
Read the Room: Video Social Reasoning with Mental-Physical Causal ChainsPoster
Reading Images Like Texts: Sequential Image Understanding in Vision-Language ModelsPoster
Readout Representation: Redefining Neural Codes by Input RecoveryPoster
Real-Time Motion-Controllable Autoregressive Video DiffusionPoster
Real-Time Reasoning Agents in Evolving EnvironmentsPoster
Real-Time Robot Execution with Masked Action ChunkingPoster
RealPDEBench: A Benchmark for Complex Physical Systems with Real-World DataOral
Realtime Video Frame Interpolation using One-Step Diffusion SamplingPoster
Reasoned Safety Alignment: Ensuring Jailbreak Defense via Answer-Then-CheckPoster
Reasoning Boosts Opinion Alignment in LLMsPoster
Reasoning Language Model Inference Serving Unveiled: An Empirical StudyPoster
Reasoning Models Can be Accurately Pruned Via Chain-of-Thought ReconstructionPoster
Reasoning Scaffolding: Distilling the Flow of Thought from LLMsPoster
Reasoning as Representation: Rethinking Visual Reinforcement Learning in Image Quality AssessmentOral
Reasoning in Space via Grounding in the WorldPoster
Reasoning on Time-Series for Financial Technical AnalysisPoster
Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning ModelsPoster
Reasoning with Sampling: Your Base Model is Smarter Than You ThinkOral
Reasoning-Aligned Perception Decoupling for Scalable Multi-modal ReasoningPoster
Reasoning-Driven Multimodal LLM for Domain GeneralizationPoster
ReasoningBank: Scaling Agent Self-Evolving with Reasoning MemoryPoster
Reassessing Layer Pruning in LLMs: New Insights and MethodsPoster
ReconViaGen: Towards Accurate Multi-view 3D Object Reconstruction via GenerationPoster
Reconciling Visual Perception and Generation in Diffusion ModelsPoster
Reconstruct Anything Model a lightweight foundation model for computational imagingPoster
Reconstructing KV Caches with Cross-Layer Fusion for Enhanced TransformersPoster
Reconstruction Alignment Improves Unified Multimodal ModelsPoster
Recover Cell Tensor: Diffusion-Equivalent Tensor Completion for Fluorescence Microscopy ImagingPoster
Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive EvaluationPoster
Rectifying LLM Thought from Lens of OptimizationPoster
Recurrent Action Transformer with MemoryPoster
RedCodeAgent: Automatic Red-teaming Agent against Diverse Code AgentsPoster
RedSage: A Cybersecurity Generalist LLMPoster
RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS EnvironmentsOral
RedacBench: Can AI Erase Your Secrets?Poster
Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted dataPoster
Reducing Belief Deviation in Reinforcement Learning for Active ReasoningOral
Reducing Class-Wise Performance Disparity via Margin RegularizationPoster
Reducing Contextual Stochastic Bilevel Optimization via Structured Function ApproximationPoster
Reducing Semantic Mismatch in Brain-to-Text Decoding Through Personalized Multimodal MaskingPoster
Reducing Symmetry Increase in Equivariant Neural NetworksPoster
Reducing information dependency does not cause training data privacy. Adversarially non-robust features do.Poster
Reevaluating Policy Gradient Methods for Imperfect-Information GamesPoster
Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression TasksPoster
RefAny3D: 3D Asset-Referenced Diffusion Models for Image GenerationPoster
RefTool: Reference-Guided Tool Creation for Knowledge-Intensive ReasoningPoster
Reference Guided Skill DiscoveryPoster
References Improve LLM Alignment in Non-Verifiable DomainsPoster
Referring Layer DecompositionPoster
Refine Drugs, Don’t Complete Them: Uniform-Source Discrete Flows for Fragment-Based Drug DiscoveryPoster
Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural FieldsPoster
RefineBench: Evaluating Refinement Capability in Language ModelsPoster
RefineStat: Efficient Exploration for Probabilistic Program SynthesisOral
Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLMPoster
Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit ReshapingPoster
Reformulation for Pretraining Data AugmentationPoster
RegionE: Adaptive Region-Aware Generation for Efficient Image EditingPoster
RegionReasoner: Region-Grounded Multi-Round Visual ReasoningPoster
Regret-Guided Search Control for Efficient Learning in AlphaZeroPoster
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation ModelsPoster
Regulating Internal Evidence Flows for Robust Learning Under Spurious CorrelationsPoster
Reinforced Latent Reasoning for LLM-based RecommendationPoster
Reinforcement Learning Fine-Tuning Enhances Activation Intensity and Diversity in the Internal Circuitry of LLMsPoster
Reinforcement Learning for Machine Learning Engineering AgentsPoster
Reinforcement Learning from Dynamic Critic Feedback for Free-Form GenerationsPoster
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMsPoster
Reinforcement Mid-TrainingPoster
Reinforcement Unlearning via Group Relative Policy OptimizationPoster
Reinforcing Diffusion Models by Direct Group Preference OptimizationPoster
Reinforcing General Reasoning Without VerifiersPoster
Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender SystemsPoster
Relational Feature Caching for Accelerating Diffusion TransformersPoster
Relational Graph TransformerPoster
Relational Transformer: Toward Zero-Shot Foundation Models for Relational DataPoster
Relationship Alignment for View-aware Multi-view ClusteringPoster
Relative Entropy Pathwise Policy OptimizationPoster
Relative Value LearningPoster
Relatron: Automating Relational Machine Learning over Relational DatabasesPoster
RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation LocalizationPoster
Reliability-Adjusted Prioritized Experience ReplayPoster
Reliable Evaluation of MRI Motion Correction: Dataset and InsightsPoster
Reliable Fine-Grained Evaluation of Natural Language Math ProofsPoster
Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware MinimizationPoster
Reliable Probabilistic Forecasting of Irregular Time Series through Marginalization-Consistent FlowsPoster
Reliable Weak-to-Strong Monitoring of LLM AgentsOral
Remaining-data-free Machine Unlearning by Suppressing Sample ContributionPoster
Remotely Detectable Robot Policy WatermarkingPoster
RepIt: Steering Language Models with Concept-Specific Refusal VectorsPoster
RepSpec: Structural Re-parameterized Draft Model Training for Speculative DecodingPoster
Replicable Reinforcement Learning with Linear Function ApproximationPoster
Representation Alignment for Diffusion Transformers without External ComponentsPoster
Representation-Based Exploration for Language Models: From Test-Time to Post-TrainingPoster
Representational Alignment Across Model Layers and Brain Regions with Hierarchical Optimal TransportPoster
Representing local protein environments with machine learning force fieldsPoster
Repurposing Foundation Model for Generalizable Medical Time Series ClassificationPoster
Repurposing Synthetic Data for Fine-grained Search Agent SupervisionPoster
ResCP: Reservoir Conformal Prediction for Time Series ForecastingPoster
ResT: Reshaping Token-Level Policy Gradients for Tool-Use Large Language ModelsPoster
ResWorld: Temporal Residual World Model for End-to-End Autonomous DrivingPoster
Rescue: Retrieval Augmented Secure Code GenerationPoster
ResearchRubrics: A Benchmark of Prompts and Rubrics For Deep Research AgentsPoster
Reshaping Reasoning in LLMs: A Theoretical Analysis of RL Training Dynamics through Pattern SelectionPoster
Residual Feature Integration is Sufficient to Prevent Negative TransferPoster
Resisting Contextual Interference in RAG via Parametric-Knowledge ReinforcementPoster
Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease DiagnosisPoster
RestoreVAR: Visual Autoregressive Generation for All-in-One Image RestorationPoster
Resurfacing the Instance-only Dependent Label Noise Model through Loss CorrectionPoster
Retain and Adapt: Auto-Balanced Model Editing for Open-Vocabulary Object Detection under Domain ShiftsPoster
Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement LearningPoster
Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning FailuresPoster
Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language ModelsPoster
Rethinking Causal Mask Attention for Vision-Language InferencePoster
Rethinking Code Similarity for Automated Algorithm Design with LLMsPoster
Rethinking Consistent Multi-Label Classification under Inexact SupervisionPoster
Rethinking Continual Learning with Progressive Neural CollapsePoster
Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline MethodsPoster
Rethinking Driving World Model as Synthetic Data Generator for Perception TasksPoster
Rethinking Expressivity and Degradation-Awareness in Attention for All-in-One Blind Image RestorationPoster
Rethinking JEPA: Compute‑Efficient Video Self-Supervised Learning with Frozen TeachersPoster
Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data?Poster
Rethinking LLM Reasoning: From Explicit Trajectories to Latent RepresentationsPoster
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity AsymmetryPoster
Rethinking Layer Relevance in Large Language Models Beyond Cosine SimilarityPoster
Rethinking LoRA for Privacy-Preserving Federated Learning in Large ModelsPoster
Rethinking Model Calibration through Spectral Entropy Regularization in Medical Image SegmentationPoster
Rethinking Pareto Frontier: On the Optimal Trade-offs in Fair ClassificationPoster
Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement LearningPoster
Rethinking Radiology Report Generation: From Narrative Flow to Topic-Guided FindingsPoster
Rethinking Residual Errors in Compensation-based LLM QuantizationPoster
Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence MeasurePoster
Rethinking Unsupervised Cross-modal Flow Estimation: Learning from Decoupled Optimization and Consistency ConstraintPoster
Rethinking the Gold Standard: Why Discrete Curvature Fails to Fully Capture Over-squashing in GNNs?Poster
Retrieval-of-Thought: Efficient Reasoning via Reusing ThoughtsPoster
Retro*: Optimizing LLMs for Reasoning-Intensive Document RetrievalPoster
Retrospective Sparse Attention for Efficient Long-Context GenerationPoster
Reusing Pre-Training Data at Test Time is a Compute MultiplierPoster
Revela: Dense Retriever Learning via Language ModelingOral
Revenue Maximization Under Sequential Price Competition Via The Estimation Of $s$-Concave Demand FunctionsPoster
Reverse Distillation: Disentangling and Scaling Protein Language Model RepresentationsPoster
Reverse-Engineered Reasoning for Open-Ended GenerationPoster
Reversible Primitive–Composition Alignment for Continual Vision–Language LearningPoster
Revisit Visual Prompt Tuning: The Expressiveness of Prompt ExpertsPoster
Revisiting Active Sequential Prediction-Powered Mean EstimationPoster
Revisiting Confidence Calibration for Misclassification Detection in VLMsPoster
Revisiting Global Text Conditioning in Diffusion TransformersPoster
Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy TrainingPoster
Revisiting Long-context Modeling from Context Denoising PerspectivePoster
Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block SketchingPoster
Revisiting Multimodal Positional Encoding in Vision–Language ModelsPoster
Revisiting Nonstationary Kernel Design for Multi-Output Gaussian ProcessesPoster
Revisiting Parameter Server in LLM Post-TrainingPoster
Revisiting Sharpness-Aware Minimization: A More Faithful and Effective ImplementationPoster
Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber ProblemPoster
Revisiting Weight Regularization for Low-Rank Continual LearningPoster
Revisiting [CLS] and Patch Token Interaction in Vision TransformersPoster
Revisiting the Past: Data Unlearning with Model State HistoryPoster
Revisiting the Scaling Properties of Downstream Metrics in Large Language Model TrainingPoster
Revisting Node Affinity Prediction In Temporal GraphsPoster
Revisual-R1: Advancing Multimodal Reasoning From Optimized Cold Start to Staged Reinforcement LearningPoster
Revolutionizing Reinforcement Learning Framework for Diffusion Large Language ModelsPoster
Reward Is Enough: LLMs Are In-Context Reinforcement LearnersPoster
Reward Model Routing in AlignmentPoster
Reward Models Inherit Value Biases from PretrainingPoster
RewardEval: Advancing Reward Model EvaluationPoster
RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement LearningPoster
Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language ModelsPoster
Rewriting Pre-Training Data Boosts LLM Performance in Math and CodePoster
Rex-Thinker: Grounded Object Referring via Chain-of-Thought ReasoningPoster
Riemannian Federated Learning via Averaging Gradient StreamsPoster
Riemannian High-Order Pooling for Brain Foundation ModelsPoster
Riemannian Optimization on Relaxed Indicator Matrix ManifoldPoster
Riemannian Variational Flow Matching for Material and Protein DesignPoster
Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete ManifoldsPoster
Riesz Neural Operator for Solving Partial Differential EquationsPoster
RigidSSL: Rigidity-based Geometric Pretraining for Protein GenerationPoster
Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data HeterogeneityPoster
Risk Phase Transitions in Spiked Regression: Alignment Driven Benign and Catastrophic OverfittingPoster
Risk-Sensitive Agent CompositionsPoster
Risk-Sensitive Reinforcement Learning for Alleviating Exploration Dilemmas in Large Language ModelsPoster
RiskPO: Risk-based Policy Optimization with Verifiable Reward for LLM Post-TrainingPoster
RoRE: Rotary Ray Embedding for Generalised Multi-Modal Scene UnderstandingPoster
RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist RobotsPoster
RoboInter: A Holistic Intermediate Representation Suite Towards Robotic ManipulationPoster
RoboOmni: Proactive Robot Manipulation in Omni-modal ContextPoster
RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across TasksPoster
RobotArena $\infty$: Unlimited Robot Benchmarking via Real-to-Sim TranslationPoster
Robotic Manipulation by Imitating Generated Videos Without Physical DemonstrationsPoster
Robust Adaptive Multi-Step Predictive ShieldingPoster
Robust Adversarial Attacks Against Unknown Disturbance via Inverse Gradient SamplePoster
Robust Adversarial Quantification via Conflict-Aware Evidential Deep LearningPoster
Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled DataPoster
Robust Decision-Making with Partially Calibrated ForecastersPoster
Robust Deep Reinforcement Learning against Adversarial Behavior ManipulationPoster
Robust Equation Structure learning with Adaptive RefinementPoster
Robust Federated InferencePoster
Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-SchedulingPoster
Robust Fine-tuning of Vision-Language-Action Robot Policies via Parameter MergingPoster
Robust Generalized Schr\"{o}dinger Bridge via Sparse Variational Gaussian ProcessesPoster
Robust LLM Unlearning via Post Judgment and Multi-round ThinkingPoster
Robust Multi-Objective Controlled Decoding of Large Language ModelsPoster
Robust Optimization for Mitigating Reward Hacking with Correlated ProxiesPoster
Robust Preference Alignment via Directional Neighborhood ConsensusPoster
Robust Preference Optimization: Aligning Language Models with Noisy Preference FeedbackPoster
Robust Reward Modeling via Causal RubricsPoster
Robust Selective Activation with Randomized Temporal K-Winner-Take-All in Spiking Neural Networks for Continual LearningPoster
Robust Spiking Neural Networks Against Adversarial AttacksPoster
Robust Test-time Video-Text Retrieval: Benchmarking and Adapting for Query ShiftsPoster
Robust Training of Neural Networks at Arbitrary Precision and SparsityPoster
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and StereoPoster
Robustify Spiking Neural Networks via Dominant Singular Deflation under Heterogeneous Training VulnerabilityPoster
Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New DefensesPoster
Robustness in the Face of Partial Identifiability in Reward LearningPoster

ICLR accepted papers in other years

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