ICML 2026 Accepted Papers
The full list of 6,634 papers accepted at ICML 2026 (International Conference on Machine Learning). 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: 6,060Spotlight: 406Oral: 168
- $A_2$DEPT: Large Language Model–Driven Automated Algorithm Design via Evolutionary Program TreesPoster
- $E^2$PO: Embedding-perturbed Exploration Preference Optimization for Flow ModelsPoster
- $G^2$-Reader: Dual Evolving Graphs for Multimodal Document QAPoster
- $L^3$: Large Lookup LayersPoster
- $R^3$DAO: Reactive Recovery and Reconstruction for Long-horizon Data Agent OrchestrationPoster
- $V_0$: A Generalist Value Model for Any Policy at State ZeroPoster
- $\alpha$-PFN: Fast Entropy Search via In-Context LearningPoster
- $\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ RetrievalPoster
- $\mathcal{O}(\log N)$ Latent Dimension Suffices for Universal Approximation of Permutation-invariant FunctionPoster
- $\mu$pscaling small models: Principled warm starts and hyperparameter transferPoster
- $\phi$-Balancing for Mixture-of-Experts TrainingPoster
- $\sigma$: Sigmoid Modulation for Ultra High Resolution DiffusionPoster
- $\tau$-Knowledge: Evaluating Conversational Agents over Unstructured KnowledgePoster
- $\tau$-Voice: Benchmarking Full-Duplex Voice Agents on Real-World DomainsPoster
- $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control EnvironmentOral
- $\textit{S}$-SPPO: Semantic-Calibrated Self-Play Preference OptimizationPoster
- $\texttt{FlashSchNet}$: Fast and Accurate Coarse-Grained Neural Network Molecular DynamicsPoster
- $\texttt{IDEAS}$: Interpretability Driven Evolutionary Approach for the Design of Biological SequencesPoster
- $\texttt{MetaDistill}$: Unlocking the Performance Ceiling for Pretrained OptimizersPoster
- $\texttt{Multi}^2$: Hierarchical Multi-Agent Decision-Making with LLM-Based Agents in Interactive EnvironmentsPoster
- $\texttt{PRISM}$:A 3D Probabilistic Neural Representation for Interpretable Shape ModelingPoster
- $\texttt{ShaplEIG}$: Bayesian Experimental Design for Shapley Value EstimationPoster
- $\text{DT}^\text{2}$: Decision-Targeted Digital TwinsPoster
- $f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified AnalysesPoster
- $f$-Divergence Self-Play for Tabular Anomaly Detection via Large Language ModelsPoster
- $f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy DataPoster
- (1D) Ordered Tokens Enable Efficient Test-Time SearchPoster
- (Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML TransformationsPoster
- (De)-regularized Maximum Mean Discrepancy Gradient FlowPoster
- (Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential GamesSpotlight
- (Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting ModelsPoster
- *MemPot*: Defend Against Memory Extraction Attack with Optimized HoneypotsPoster
- *Rank-Learner*: Orthogonal Ranking of Treatment EffectsPoster
- 1-Bit Wonder: Improving QAT Performance in the Low-Bit Regime through K-Means QuantizationPoster
- 3D MeanFlow: One-Step Point Cloud Completion and Generation via Average-Velocity TransportPoster
- 3D Scene Assertion VerificationPoster
- 3D-DLP: Self-supervised 3D Object-centric Scene Representation LearningPoster
- 3D-RFT: Reinforcement Fine-Tuning for Video-based 3D Scene UnderstandingPoster
- 3DGS$^2$-TR: A Scalable Second-Order Trust-Region Method for 3D Gaussian SplattingPoster
- 3DGS-HPC: Distractor-free 3D Gaussian Splatting with Hybrid Patch-wise ClassificationPoster
- 3DMedAgent: Unified Perception-to-Understanding for 3D Medical AnalysisPoster
- 3DPoV: Improving 3D understanding via Patch Ordering on VideosPoster
- 3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language ModelsOral
- 4DPC$^2$hat: Towards Dynamic Point Cloud Understanding with Failure-Aware BootstrappingPoster
- 4RC: 4D Reconstruction via Conditional Querying Anytime and AnywherePoster
- A Bayesian Approach to Quantify the Uncertainty of Human Ratings in a Single-Instance Multimodal FrameworkPoster
- A Behavioural and Representational Evaluation of Goal-Directedness in Language Model AgentsPoster
- A Benchmark and Framework for Evaluating Next Action Predictions in SpreadsheetsPoster
- A Bi-metric Framework for Efficient Nearest Neighbor SearchPoster
- A Call to Lagrangian Action: Learning Population Mechanics from Temporal SnapshotsSpotlight
- A Capacity-Based Rationale for Multi-Head AttentionPoster
- A Cartesian-3j and nj Framework for Machine Learning Interatomic PotentialsPoster
- A Close Look at Negative Label Guided Out-of-distribution Detection in Pre-trained Vision-Language ModelsPoster
- A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial RobustnessPoster
- A Computational Framework for Evaluating Human-likeness in LLMs' Open-ended Human BehaviorsPoster
- A Conflict-aware Evidential Framework for Reliable Sleep Stage ClassificationPoster
- A Consensus Anchor-guided Hypergraph Framework For Incomplete Multi-view ClusteringPoster
- A Constrained Optimization Perspective of Unrolled TransformersSpotlight
- A Control-Theoretic View of Mamba on Stability and RobustnessPoster
- A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn’t)Poster
- A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to AdaptPoster
- A Deep Learning Model of Mental Rotation Informed by Interactive VR ExperimentsPoster
- A Diagnostic Study of Multi-Agent LLMs for Real-World DebatesPoster
- A Diffusive Classification Loss for Learning Energy-based Generative ModelsPoster
- A Dirac-Frenkel-Onsager principle: Instantaneous residual minimization with gauge momentum for nonlinear parametrizations of PDE solutionsSpotlight
- A Direct Approach for Handling Contextual Bandits with Latent State DynamicsPoster
- A Direct Second-Order Method for Solving Two-Player Zero-Sum GamesPoster
- A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint PrincipleSpotlight
- A Factorized Low-Rank RNN Framework for Uncovering Independent Neural Latent Dynamics and ConnectivitySpotlight
- A Fast and Soft Pattern Matcher for Trillion-Scale CorpusPoster
- A Fine-Grained Understanding of Uniform Convergence for HalfspacesPoster
- A Flat Vocabulary or a Rich Hierarchy? Re-introducing Intrinsic Structure Transforms the Autoregressive Image GenerationPoster
- A Formal Comparison Between Chain of Thought and Latent ThoughtPoster
- A Foundation-style Model for Zero-Shot Statistical Dependency MeasurementPoster
- A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insightsPoster
- A Framework for Understanding Learnability in TransformersPoster
- A Fully First-Order Layer for Differentiable OptimizationSpotlight
- A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine LearningPoster
- A General Framework for Dynamic Consistent Submodular MaximizationPoster
- A General Framework for Fair and Robust RegressionPoster
- A General Neural Backbone for Mixed-Integer Linear Optimization via Dual AttentionPoster
- A Generalist Pair-wise Progress Critic Model for Vision-Language-Action RobotsPoster
- A Geometric Analysis of Small-sized Language Model HallucinationsPoster
- A Geometric Lens on Physics-Aligned Data CompressionPoster
- A Geometry-Aware Efficient Algorithm for Compositional Entropic Risk MinimizationPoster
- A Geometry-Based View of Mahalanobis OOD DetectionPoster
- A Graph Foundation Model with Cross-Modal Alignment and Modality-Aware Expert Fusion for Multi-Modal GraphsPoster
- A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal ApproximationPoster
- A Hitchhiker's Guide to Poisson Gradient EstimationPoster
- A Hypertoroidal Covering for Perfect Color EquivariancePoster
- A Judge-Aware Ranking Framework for Evaluating Large Language Models without Ground TruthPoster
- A KL-regularization framework for learning to plan with adaptive priorsPoster
- A Kinetic-Energy Perspective of Flow MatchingSpotlight
- A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter SearchPoster
- A Linear Expectation Constraint for Selective Prediction and Routing with False-Discovery ControlPoster
- A Linearly Convergent Proximal Subgradient Algorithm for Sparse Portfolio Optimization with Transaction CostPoster
- A Machine-Learned Comorbidity IndexPoster
- A Mechanistic Understanding of Sim-and-Real Co-Training in Generative PoliciesPoster
- A Minimal Agent for Automated Theorem ProvingPoster
- A Minimax Approach for Optimal Intervention Policy Learning with Two-Stage OutcomesPoster
- A Narrowing Geometry in Contaminated ReasoningPoster
- A New Framework for Cybersecurity Refusals in AI AgentsPoster
- A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index ModelsSpotlight
- A Penalty Approach For Differentiation Through Black-box Quadratic Programming SolversPoster
- A Perturbation Approach to Unconstrained Linear BanditsPoster
- A Positive Case for Faithfulness: Explanations Help Predict Model BehaviorPoster
- A Probabilistic Framework for LLM-Based Model DiscoveryPoster
- A Progressive Evidence Localization Framework Based on Wasserstein Gradient Flows for Document Visual Question AnsweringPoster
- A Provable Expressiveness Hierarchy in Hybrid Linear-Full AttentionPoster
- A Pure Hierarchical Spectral Parcellation Network for Brain Network AnalysisPoster
- A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory ConstraintsPoster
- A Random Matrix Perspective on the Consistency of Diffusion ModelsOral
- A Random Matrix Theory of Masked Self-Supervised LearningPoster
- A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent VariablesOral
- A Refined Generalization Analysis for Extreme Multi-class Supervised Contrastive Representation LearningPoster
- A Regime-Aware Trajectory Prediction Framework for 1000+ Systems Biology ModelsPoster
- A Regret Minimization Framework on Preference Learning in Large Language ModelsSpotlight
- A Risk Decomposition Framework for Pre-hoc Fine-tuning PredictionPoster
- A Robust Optimization Guided Pruning Framework for Vision and Large Language ModelsPoster
- A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound SeparationPoster
- A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG AlgorithmsPoster
- A Single Layer to Explain Them All: Understanding Massive Values in Large Language ModelsPoster
- A Sketch-and-Project Analysis of Subsampled Natural Gradient AlgorithmsPoster
- A Solvable High-Dimensional Model Where Nonlinear Autoencoders Learn Structure Invisible to PCA While Test Loss Misaligns With GeneralizationPoster
- A Solver-Free Training Method for Predict-then-OptimizePoster
- A Spiking Heterogeneous Harmonic Resonate-and-Fire State Space Model for Time SeriesPoster
- A Statistical Framework for Analyzing Specification Resistance to Learnware-Inversion RisksPoster
- A Strictly Proper Scoring Rule and a Calibration Metric for Interval-Censored Data AnalysisPoster
- A Stronger Benchmark for Online Bilateral Trade: From Fixed Prices to DistributionsPoster
- A Studentized Spherical Harmonics–Based Nonparametric Two-Sample Test for Compositional and Directional DataPoster
- A Systematic Study of Behavioral Cloning for Scientific Data AnnotationOral
- A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep ResearchPoster
- A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective OptimizationPoster
- A Task-centric Theory for Iterative Self-Improvement with Easy-to-Hard CurriculaPoster
- A Theoretical Framework for Modular Learning of Robust Generative ModelsPoster
- A Theoretical Framework for Statistical Evaluability of Generative ModelsPoster
- A Theoretical Game of Attacks via Compositional SkillsPoster
- A Theory of Contrastive Learning with Natural ImagesPoster
- A Theory of Data Acquisition and Pricing at ScalePoster
- A Theory of How Pretraining Shapes Inductive Bias in Fine-TuningPoster
- A Tight Theory of Error Feedback Algorithms in Distributed OptimizationPoster
- A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow MatchingPoster
- A Two-Layer Framework for Joint Online Configuration Selection and Admission ControlPoster
- A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM SystemsPoster
- A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via InteractionsPoster
- A Unified Density Operator View of Flow Control and MergingPoster
- A Unified Framework for Deep Hypergraph Clustering Beyond HomophilyPoster
- A Unified Framework for Diffusion Model Unlearning with f-DivergencePoster
- A Unified Sparse Attention via Multi-Granularity CompressionPoster
- A Unifying Relational Perspective on Expressive Lottery TicketsSpotlight
- A Unifying View of Variational Generative Wasserstein FlowsSpotlight
- A Very Big Video Reasoning SuitePoster
- A World in Pieces: Structural Certification of General AgentsPoster
- A geometric relation of the error introduced by sampling a language model's output distribution to its internal statePoster
- A model of errors in transformersPoster
- A novel statistical approach to analyze image classificationPoster
- A proximal ADMM for multiblock problems with block anti-upper triangular constraintsPoster
- A recipe for scalable attention-based ML potentials: unlocking long-range accuracy with all-to-all node attentionPoster
- A robust PPG foundation model using multimodal physiological supervisionPoster
- A theory of learning data statistics in diffusion models, from easy to hardPoster
- A unified theory of feature learning in RNNs and DNNsPoster
- A$^2$SG: Adaptive and Asymmetric Surrogate Gradients for Training Deep Spiking Neural NetworkPoster
- A3: an Analytical Low-Rank Approximation Framework for AttentionPoster
- AAD-1: Asymmetric Adversarial Distillation for One-Step Autoregressive Video GenerationPoster
- ABC-Bench: An Agentic Bio-Capabilities Benchmark for BiosecurityPoster
- ABCD: All Biases Come DisguisedPoster
- ABSINT-AI: Agentic Heap Abstractions for Abstract InterpretationPoster
- AC-ODM: Actor–Critic Online Data Mixing for Sample-Efficient LLM PretrainingPoster
- ACO-MoE-LoRA: Evolving-while-Training for Adapting Segment Anything Model 2 to Specialized DomainsPoster
- ACON: Optimizing Context Compression for Long-horizon LLM AgentsPoster
- ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted ControlPoster
- ACTIVE-o3 : Empowering MLLMs with Active Perception via Pure Reinforcement LearningPoster
- AD-BTS: Adaptive Dual-Branch Token Sparsification via Spatial Information DensityPoster
- AD-MIR: Bridging the Gap from Perception to Persuasion in Advertising Video Understanding via Structured ReasoningPoster
- ADEPT: RL-Aligned Agentic Decoding of Emotion via Evidence Probing Tools — From Consensus Learning to Ambiguity-Driven Emotion ReasoningSpotlight
- ADHD Disease Detection Based on Short- and Long-Term Brain Function Encoding and Memory Graph NetworkPoster
- AES: Curing Optimizer Blindness in Long-Tailed Recognition via State-Aware CorrectionPoster
- AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow MatchingPoster
- AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-TuningPoster
- AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMsPoster
- AI Engram: In Search of Memory Traces in Artificial IntelligenceOral
- AICrypto: Evaluating Cryptography Capabilities of Large Language ModelsPoster
- AIR-VLA: Vision-Language-Action Systems for Aerial ManipulationPoster
- AIR: Improving Agent Safety through Incident ResponsePoster
- AIR: Post-training Data Selection for Reasoning via Attention Head InfluencePoster
- ALAS: Additive Learnable Alpha-Stable Kernels for Flexible Bayesian OptimizationPoster
- ALSO: Adversarial Online Strategy Optimization for Social AgentsPoster
- AMA-Bench: Evaluating Long-Horizon Memory for Agentic ApplicationsPoster
- AMDP: Asynchronous Multi-Directional Pipeline Parallelism for Large-Scale Models TrainingPoster
- ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language ModelsPoster
- ANCHOR: Automated Alignment Auditing for CLI Agents on Real-World HarmPoster
- ANTiC: Adaptive Neural Temporal In Situ CompressorPoster
- AOEB: Benchmarking Agent-Oriented Multimodal EmbeddingsPoster
- AOEPT: Breaking the Implicit Modality-Reduction Bottleneck in Modality Missing Prompt TuningPoster
- AOrchestra: Automating Sub-Agent Creation for Agentic OrchestrationPoster
- APE-Bench: Evaluating Automated Proof Engineering for Formal Math LibrariesPoster
- APEX: Approximate-but-exhaustive search for ultra-large combinatorial synthesis librariesPoster
- API: Adaptive Prototype Imputation for Incomplete Multimodal Sentiment AnalysisPoster
- APIC: Orthogonalized Neuro-Symbolic Modeling for Nonlinear Dissipative DynamicsPoster
- ARC-Decode: Accelerated Decoding with Risk-Bounded AcceptancePoster
- AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental LearningPoster
- ARLArena: Demystifying Policy Gradient Stability in Agentic Reinforcement LearningPoster
- AReaL-DTA: Dynamic Tree Attention for Efficient Reinforcement Learning of Large Language ModelsPoster
- ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial OptimizationPoster
- ASIR: Steganography for Diffusion Models via Antipodal Sampling and Iterative RecoveryPoster
- ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language ModelsPoster
- ASTRA: Communication-Efficient Acceleration for Multi-Device Transformer InferencePoster
- ASyMOB: Algebraic Symbolic Mathematical Operations BenchmarkPoster
- ATLAS: Learning to Optimally Memorize the Context at Test TimePoster
- AURA: Visually Interpretable Affective Understanding via Robust ArchetypesPoster
- AVGen-Bench: A Task-Driven Benchmark for Multi-Granular Evaluation of Text-to-Audio-Video GenerationPoster
- AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMsPoster
- AVTrack: Audio-Visual Speaker Tracking in Complex ScenesPoster
- Abductive Reasoning with Probabilistic CommonsensePoster
- Absorbing Quantization Error by Deformable Noise Scheduler for Diffusion ModelsPoster
- Abstraction Induces the Brain Alignment of Language and Speech ModelsPoster
- Accelerated Dual Method for Distributed Optimization: An Inexact-Gradient View of Local UpdatesPoster
- Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional OptimizationPoster
- Accelerated and Stable Convergence with Anchored Generalized Optimistic MethodPoster
- Accelerating Langevin Monte Carlo via Efficient Stochastic Runge-Kutta Methods beyond Log-ConcavityPoster
- Accelerating Q-learning through Efficient Value-sharing across ActionsSpotlight
- Accelerating Regression Tasks with Quantum AlgorithmsPoster
- Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM ReasoningPoster
- Accuracy and Normalized Accuracy under Length Bias: Analysis, Guidelines, and a Bayesian AlternativePoster
- Accuracy-First Rényi Differential Privacy and Post-Processing ImmunityPoster
- Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival AnalysisPoster
- Accurate Large-scale Uncertainty Quantification using Stochastic Gradient Markov Chain Monte CarloPoster
- Accurate, private, secure, federated U-statistics with higher degreePoster
- Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov GamesPoster
- Achieving Structurally Robust Gromov Wasserstein Distance via Adaptive Dual-MaskPoster
- Acoustic Interference: A New Paradigm Weaponizing Acoustic Latent Semantic for Universal Jailbreak against Large Audio Language ModelsPoster
- Action Manifold Smoothing: A Lipschitz Pathway Perspective on High-Dimensional Reinforcement LearningPoster
- Action-Sufficient Goal RepresentationsPoster
- Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation ExplainersOral
- Activation with Intrinsic-Extrinsic ConsensusPoster
- Activation-Free Backbones for Image Recognition: Polynomial Alternatives for Spatial and Channel MixingPoster
- Active Attacks: Red-teaming LLMs via Adaptive EnvironmentsPoster
- Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided PruningPoster
- Active Continual Learning with Metaplastic Binary Bayesian Neural NetworksPoster
- Active Curriculum Refinement for Reinforcement LearningPoster
- Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language ModelsPoster
- Active Learning with Foundation Model Priors: Efficient Learning under Class ImbalancePoster
- Active Learning with Low-Rank Structure for Data SelectionPoster
- Active Policy Optimization for Individualized Dosing via Gradient Variance MinimizationPoster
- Active Reasoning Vision-Language Model via Sequential Experimental DesignPoster
- Active Regression for Single-Index Models with Unknown Link FunctionsPoster
- Active Tabular Augmentation via Policy-Guided Diffusion InpaintingPoster
- Active Timepoint Selection for Learning Measure-Valued TrajectoriesPoster
- ActiveScope: Actively Seeking and Correcting Perception for MLLMsPoster
- ActiveUltraFeedback: Efficient Preference Data Generation using Active LearningPoster
- AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven EditingSpotlight
- AdaEraser: Training-Free Object Removal via Adaptive Attention SuppressionPoster
- AdaGC: Enhancing LLM Pretraining Stability via Adaptive Gradient ClippingPoster
- AdaHC: Accelerating Multi-Token Prediction with Adaptive Head Chunking with Pipeline ParallelismPoster
- AdaMEM: Test-Time Adaptive Memory for Language AgentsPoster
- AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the MomentsPoster
- AdaNav: Adaptive Reasoning with Uncertainty for Vision-Language NavigationPoster
- AdaRoPE: Not All Attention Heads Should Rotate and Scale EquallyPoster
- AdaS: Adaptive Gradient Descent for Spiking TransformersPoster
- AdaSCALE: Adaptive Scaling for OOD DetectionPoster
- AdaSplash-2: Faster Differentiable Sparse AttentionPoster
- AdamO: A Collapse-Suppressed Optimizer for Offline RLPoster
- Adapting Noise to Data: Generative Flows from Learned 1D ProcessesPoster
- Adapting to Evolving Graphs: A Scalable Framework for Dynamic CoarseningPoster
- Adaptive Bandit Algorithms for Contextual Matching MarketsPoster
- Adaptive Batch Sizes Using Non-Euclidean Gradient Noise Scales for Stochastic Sign and Spectral DescentPoster
- Adaptive Code Watermarking Through Reinforcement LearningPoster
- Adaptive Contracts for Cost-Effective AI DelegationPoster
- Adaptive DNA Sequence Modeling via Synergistic Plasticity UnitsPoster
- Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman OrthogonalityPoster
- Adaptive Generation of Bias-Eliciting Questions for LLMsPoster
- Adaptive Group Elicitation via Multi-Turn LLM InteractionsPoster
- Adaptive Memory Retention in Dynamic GraphsSpotlight
- Adaptive Momentum and Nonlinear Damping for Neural Network TrainingPoster
- Adaptive Multi-Round Allocation with Stochastic ArrivalsPoster
- Adaptive Multiscale Binary Expansion Tests for IndependencePoster
- Adaptive Node Feature Selection for Graph Neural NetworksPoster
- Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean EmbeddingsPoster
- Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy SystemsPoster
- Adaptive Policy Backbone via Shared NetworkSpotlight
- Adaptive Preconditioners Trigger Loss Spikes in AdamPoster
- Adaptive Probe-based Steering for Robust LLM JailbreakingPoster
- Adaptive Protein TokenizationPoster
- Adaptive Quasimetric Mapping : Principled Topological Abstraction for Robust Offline Goal-Conditioned NavigationPoster
- Adaptive Querying with AI Persona PriorsPoster
- Adaptive Recurrent Message Passing for Test Time Computing on GraphsPoster
- Adaptive Reinforcement Learning for Unobservable Random DelaysPoster
- Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision-Language ModelsPoster
- Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded SchedulerPoster
- Adaptive Symmetry Discovery for Dynamical System IdentificationPoster
- Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static BenchmarksSpotlight
- Adaptive Time Series Reasoning via Segment SelectionPoster
- Adaptive Token Refinement in Long-Tailed Large Vision-Language Models Fine-TuningPoster
- Adaptive Utilization of Low-Rank Adaptation via Conditioned GatingPoster
- Adaptive Visual Autoregressive Acceleration via Dual-Linkage Entropy AnalysisPoster
- Adaptive Volumetric Mechanical Property Fields Invariant to ResolutionPoster
- Adaptively Grouped Contextual Bandits for Heterogeneous Human-AI Decision Making with Conformal Prediction SetsPoster
- Adaptively Robust Resettable StreamingPoster
- Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation LearningPoster
- Addressing Semantic Blind Spots in Text-to-SQL via Component Pre-generation and AST Matching RewardsPoster
- AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement LearningPoster
- Advancing Analytic Class-Incremental Learning through Vision-Language CalibrationPoster
- Advancing LLM Reasoning with Natural Language and Numerical FeedbackSpotlight
- Advancing SVD-based LLM Compression via Layer-Wise Error Model SearchPoster
- Advantage Collapse in Group Relative Policy Optimization: Diagnosis and MitigationPoster
- Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion ModelsPoster
- AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree SearchPoster
- Adversarial Attack and Defense for Denoising Diffusion SamplingPoster
- Adversarial Attacks and Robust Training for Hypergraph Neural NetworksPoster
- Adversarial Flow ModelsPoster
- Adversarial Latent Embedding Repair for LLM Continual LearningPoster
- Adversarial Reinforcement Learning for Robust Diffusion Large Language Model UnlearningPoster
- Adversarial Robustness of Implicit Neural Representation-Based ClassifiersPoster
- Adversarial Training for Process Reward ModelsPoster
- Adversarial Vulnerability from Interference Between Features in SuperpositionPoster
- Adversarially Robust Approximate Furthest NeighborPoster
- Adversarially Robust Control of Conditional Value-at-Risk via Kelly Conformal InferencePoster
- AesFormer: Transform Everyday Photos into Beautiful MemoriesPoster
- AffIn-Space: Learning Affine-Invariant Representations for 3D Spatial Understanding with MLLMsPoster
- Affine-Equivariant Kernel Space Encoding for NeRF EditingPoster
- Affine-Scaled Attention: Towards Flexible and Stable Transformer AttentionPoster
- Agent JIT Compilation for Latency-Optimizing Computer-Use Agent Planning and SchedulingPoster
- Agent Learning via Early ExperiencePoster
- Agent Primitives: Reuseable Latent Building Blocks for Multi-Agent SystemsPoster
- Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement LearningPoster
- Agent-Omit: Training Efficient LLM Agents for Adaptive Thought and Observation Omission via Agentic Reinforcement LearningPoster
- Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language ReasoningOral
- AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code GenerationPoster
- AgentExpt: Automating AI Experiment Design with LLM-based Resource Retrieval AgentPoster
- AgentHijack: Benchmarking Computer Use Agent Robustness to Common Environment CorruptionsPoster
- AgentLAB: Benchmarking LLM Agents against Long-Horizon AttacksPoster
- AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy ConditionPoster
- AgentScore: Autoformulation of Deployable Clinical Scoring SystemsPoster
- AgentSelect: Benchmark for Narrative Query-to-Agent RecommendationPoster
- AgentSteerTTS: A Multi-Agent Closed-Loop Framework for Composite-Instruction Text-to-SpeechPoster
- AgentTailor: A Semantic-Aware LLM-Based Multi-Agent System with Actor-Critic StructurePoster
- AgentVocab: Structure-Aware Vocabulary Adaptation for Efficient LLM AgentsPoster
- AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic WebPoster
- AgentXRay: White-Boxing Agentic Systems via Workflow ReconstructionPoster
- Agentic Confidence CalibrationPoster
- Agentic Framework for Epidemiological ModelingPoster
- Agentic Model Predictive Questioning Control in Visual DesignPoster
- Agentic Monte Carlo: Reinforcement Learning for Black-Box LLM AgentsPoster
- Agentic Proposing: Enhancing Large language Model Reasoning via Compositional Skill SynthesisPoster
- Aggregate Models, Not Explanations: Improving Feature Importance EstimationPoster
- Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM AgentsPoster
- Aitchison Embeddings for Learning Compositional Graph RepresentationsPoster
- Alethia: a Foundational Encoder for Voice DeepfakesPoster
- AlgoVeri: An Aligned Benchmark for Verified Code Generation on Classical AlgorithmsSpotlight
- Algorithmic Primitives and Compositional Geometry of Reasoning in Language ModelsPoster
- Algorithmic Recourse of In-Context Learning for Tabular DataPoster
- AliMark: Enhancing Robustness of Sentence-Level Watermarks Against Text ParaphrasingPoster
- AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMsPoster
- Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate NetworksPoster
- Align Your Trajectory Tangent: Training Better Consistency Models via Manifold-Aligned TangentsPoster
- AlignVid: Taming Visual Dominance via Training-Free Attention Modulation in Text-guided Image-to-Video GenerationPoster
- AlignedNorm: Prompting Vision–Language Models via Coupled Prompt FieldPoster
- Aligning Datasets and Models for Weight Space LearningPoster
- Aligning Tree-Search Policies with Fixed Token Budgets in Test-Time Scaling of LLMsPoster
- Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignmentSpotlight
- Alignment Tampering: How Reinforcement Learning from Human Feedback Is Exploited to Optimize Misaligned BiasesPoster
- Alignment between Brains and AI: Evidence for Convergent Evolution across Modalities, Scales and Training TrajectoriesPoster
- Alignment-Aware DecodingPoster
- Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion ModelsSpotlight
- Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned KernelsSpotlight
- All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMsPoster
- All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear DimensionPoster
- Alleviating Observation Bias via Causal-Invariant Meta-Learning for Unbalanced Incomplete Multi-view ClusteringPoster
- Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPOPoster
- Allocating Variance to Maximize ExpectationPoster
- AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in Unified Multimodal Models via Decompositional Verifiable RewardPoster
- AlphaRouter: Token-level Routing Between SLM and LLM with Reinforcement Learning and Tree SearchPoster
- Alterbute: Editing Intrinsic Attributes of Objects in ImagesPoster
- Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-TrainingPoster
- AmbiRefer3D: 3D Visual Grounding with Referential AmbiguityPoster
- Ambient Dataloops: Generative Models for Dataset RefinementPoster
- Ambiguous Strategic ClassificationPoster
- Amodal Instance Segmentation with IRAIS Dataset for Sim-to-Real TransferPoster
- Amortized Maximum Inner Product Search with Learned Support FunctionsPoster
- Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior EstimationPoster
- Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label DisambiguationPoster
- An Algebraic View of the Expressivity of Recurrent Language ModelsPoster
- An Approximation Algorithm for Graph Label SelectionPoster
- An Asymmetric Latent Factorization-of-Tensors Model for Relation ExtractionPoster
- An Efficient Joint Learning Approach for Item Response TheoryPoster
- An Embarrasingly Simple Way to Optimize Orthogonal Matrices at ScalePoster
- An Empirical Study of Memory Poisoning Defenses for LLM AgentsPoster
- An Empirical Study on the Resilience of Partial Merging to Model Clone AttacksPoster
- An Evidential Route to Asymptotic Bayes Optimality under SparsityPoster
- An Exploration of Non-Euclidean Gradient Descent: Muon and its Many VariantsPoster
- An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear SystemsPoster
- An Exterior Method for Nonnegative Matrix FactorizationPoster
- An In-Depth Study on Deep Learning Model CloningPoster
- An Information-Theoretic Criterion for Efficient Data SynthesisPoster
- An Interactive Paradigm for Deep ResearchPoster
- An Odd Estimator for Shapley ValuesPoster
- An analytic theory of convolutional neural network inverse problems solversPoster
- AnalogVerifier: A Neuro-Symbolic Framework for Analog Circuit VerificationPoster
- Analytic Bijections for Smooth and Interpretable Normalizing FlowsPoster
- Anatomy of Massive Activations and Attention SinksPoster
- Anchor-Final Self-Supervision Drives Hallucination-Aware Optimization in Large Vision-Language ModelsPoster
- Anchor-guided Hypergraph Condensation with Dual-level DiscriminationPoster
- Anchored Policy Optimization: Mitigating Exploration Collapse via Support-Constrained RectificationPoster
- Anchoring Self-Play for Code RepairPoster
- Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement LearningPoster
- Annotations Mitigate Post-Training Mode CollapsePoster
- AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly DetectionPoster
- Anomaly-Preference Image GenerationPoster
- Anti-Aliasing Matters: A Dynamic Network for Time Series ForecastingPoster
- Anti-Backdoor Coreset Selection via Cumulative EntropyPoster
- Anti-causal domain generalization: Leveraging unlabeled dataPoster
- Antidistillation FingerprintingPoster
- Any-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete DiffusionPoster
- Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and ArchitectureOral
- Any-dimensional invariant universalityPoster
- Any2Any: Unified Arbitrary Modality Translation for Remote SensingPoster
- Any3D-VLA: Enhancing VLA Robustness via Diverse Point CloudsPoster
- AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral PriorsPoster
- AnyCanvas: Potential Field Guidance for Training-Free Spatial Control in Text-to-Image DiffusionPoster
- AnyEdit++: Adaptive Long-Form Knowledge Editing via Bayesian SurprisePoster
- AnyMod-LLVE: Low-Light Video Enhancement with Modality-Agnostic InferencePoster
- Anytime Safe PAC Efficient ReasoningPoster
- Anytime-Valid Inference Under Outcome Delay: A Design-Based ApproachPoster
- Anytime-Valid Inference for Online Ranking of Large Language ModelsPoster
- AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-UsePoster
- Approximate Equivariance via Projection-Based RegularisationPoster
- Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph ApproachPoster
- Approximate Proportionality in Online Fair DivisionPoster
- Approximating Drift-Diffusion Models for User Decisions under Nudging and External InformationPoster
- Approximating f -Divergences with Rank StatisticsPoster
- Approximation Bounds for Transformer Networks with Application to RegressionPoster
- Approximation Error Upper and Lower Bounds for Hölder Class with TransformersPoster
- Approximation Preserving CoresetsPoster
- Approximation Theory for Lipschitz Continuous TransformersPoster
- Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-TrainingPoster
- ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM ReasoningPoster
- Arboreal Neural NetworkPoster
- ArcDAE: Asymmetric Rectified Contrastive Diffusion Autoencoder for Unified Representation LearningPoster
- ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive MarginPoster
- Architecture Matters for Multi-Agent SecurityPoster
- Are Common Substructures Transferable? Understanding Transferability in Graph Pretraining under Riemannian GeometryPoster
- Are First-Order Diffusion Samplers Really Slower? A Fast Forward-Value ApproachPoster
- Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference EvaluationsPoster
- Are Large Reasoning Models Interruptible?Poster
- Are Object-Centric Representations Better At Compositional Generalization?Poster
- Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM ReasoningPoster
- Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examinationOral
- Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?Poster
- Are Your Agents Upward Deceivers?Poster
- ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative RankingPoster
- Ariadne's Thread of LipSync: Unraveling Forgeries via Inconsistency between Lip Motions and Head PosesPoster
- Around the World in Eighty Ratings? Quantifying the Salience of Geo-Cultural Values for Pluralistic AlignmentPoster
- Artemis: Structured Visual Reasoning for Perception Policy LearningPoster
- Artificial Hippocampus Networks for Efficient Long-Context ModelingPoster
- Ask Less, See More: Communication-Conditioned Token Pruning for Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language ModelsPoster
- Assistive Prompt Mediation: Evaluating Language Models Under Accessibility ConstraintsPoster
- Asymmetric Contrastive Objectives for Efficient Phenotypic ScreeningPoster
- Asymmetric Multi-View Clustering with Hyperbolic Uncertainty ModelingSpotlight
- Asymmetric Perturbation in Solving Bilinear Saddle-Point OptimizationOral
- Asymmetric Prompt Weighting for Reinforcement Learning with Verifiable RewardsPoster
- Asymmetric conformal prediction with penalized kernel sum-of-squaresPoster
- Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential PrivacySpotlight
- Asymptotic Theory of Iterated Empirical Risk Minimization, with Applications to Active LearningPoster
- Asymptotic Universal Alignment: A New Alignment Framework via Test-Time ScalingPoster
- Asymptotically Fast Clebsch-Gordan Tensor Products with Vector Spherical HarmonicsPoster
- Asymptotically Optimal Sequential Testing with Markovian DataPoster
- AsyncSpade: Efficient Test-Time Scaling with Asynchronous Sparse DecodingPoster
- At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer GeneralizationPoster
- AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image PromptersPoster
- AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Material StructuresPoster
- Attacking Gray-Box Large Vision-Language Models with Adaptive SVD-Structured Adversarial AlignmentPoster
- Attacks on Machine-Text Detectors Retain Stylistic FingerprintsPoster
- Attend to Anything: Foundation Model for Unified Human Attention ModelingPoster
- Attention Hijacking: Backdooring Text Dataset Distillation via Semantic AnchorsPoster
- Attention Illuminates LLM Reasoning: The Uncovered Preplan-and-Anchor Rhythm Enables Fine-Grained Policy OptimizationPoster
- Attention Implements the Fisher Geometry of Exponential FamiliesPoster
- Attention Projection Mixing with Exogenous AnchorsPoster
- Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head CollapsePoster
- Attention Sinks as Internal Signals for Hallucination Detection in Large Language ModelsPoster
- Attention Sinks in Diffusion Transformers: A Causal AnalysisPoster
- Attention with Routed-Memory for Learnable Sparse ControlPoster
- Attention's forward pass and Frank-WolfePoster
- Attentive Multi-Layer Fusion for Vision TransformersPoster
- Attn-QAT: 4-Bit Attention With Quantization-Aware TrainingPoster
- Attributed Network Alignment: Statistical Limits and Efficient AlgorithmPoster
- Attribution-Guided and Coverage-Maximized Pruning for Structural MoE CompressionSpotlight
- AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio ReasoningPoster
- AudioChat: Unified Audio Storytelling, Editing, and Understanding with Transfusion ForcingPoster
- AudioMosaic: Contrastive Masked Audio Representation LearningPoster
- Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional AttributionsPoster
- AugMask: Score-Based Generative Modeling of Incomplete Tabular Data via Augmentation and MaskingPoster
- AugServe: Adaptive Request Scheduling for Augmented Large Language Model Inference ServingPoster
- Auto-regressive In-context Demonstration SelectionPoster
- AutoBaxBuilder: Bootstrapping Code Security BenchmarkingPoster
- AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk EvaluationPoster
- AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure DesignPoster
- AutoMat: Physics-Guided Agentic Reasoning for Solving Ill-Posed Inverse Microscopy ProblemsPoster
- AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture -of-Transformers for End-to-End Autonomous DrivingPoster
- AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical FunctionsPoster
- AutoQRA: Joint Optimization of Mixed-Precision Quantization and Low-rank Adapters for Efficient LLM Fine-TuningPoster
- AutoRAS: Learning Robust Agentic Systems with Primitive RepresentationsPoster
- AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from InteractionsPoster
- AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) AgentsPoster
- AutoTool: Dynamic Tool Selection and Integration for Agentic ReasoningPoster
- AutoVSR: Automatic Visual-to-Symbolic Reasoning for Symbolic Expression Generation from Circuit SchematicPoster
- AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State MachinesPoster
- Autobidding Auctions with LLM-Powered CreativesPoster
- Automata-Conditioned Cooperative Multi-Agent Reinforcement LearningPoster
- Automated Formal Proofs of Combinatorial Identities via Wilf–Zeilberger Guidance and LLMsSpotlight
- Automatic Layer Selection for Hallucination DetectionPoster
- Automatic Pruning Discovery for Large Language ModelsPoster
- Automatic Unsupervised Ensemble Outlier Model SelectionPoster
- Automatically Finding Reward Model BiasesPoster
- Autoregression with Self-Token PredictionPoster
- Autoregressive Boltzmann GeneratorsSpotlight
- Autoregressive Direct Preference OptimizationPoster
- Autoregressive Image Generation with Masked Bit ModelingPoster
- Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token PredictionPoster
- Autoregressive, Yet Revisable: In Decoding Revision for Secure Code GenerationPoster
- AvAtar: Learning to Align via Active Optimal TransportPoster
- Avoid What You Know: Divergent Trajectory Balance for GFlowNetsPoster
- Awakening Visual Reasoning: Mitigating Post-Training Failure in Vision-Text CompressionPoster
- Axiomatic Atlas: A Prescriptive Framework for Neural Architecture DesignPoster
- A²RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark GenerationPoster
- B-Spar: Bayesian Sparse-Reward Modeling for RL-based Image EditingPoster
- BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector FieldsPoster
- BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric DebatePoster
- BAS: Bridging Adam and SignSGD for Memory-Efficient LLM TrainingPoster
- BAT: Better Audio Transformer Guided by Convex Gated ProbingPoster
- BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal StepsPoster
- BEDTime: A Unified Benchmark for Automatically Describing Time SeriesPoster
- BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic FeedbackPoster
- BEST: Benchmarking Efficiency in Space and Time for LLM-Generated CodePoster
- BESplit: Bias-Compensated Split Federated Learning with Evidential AggregationPoster
- BFTS: Thompson Sampling with Bayesian Additive Regression TreesSpotlight
- BIOARC: Discovering Optimal Neural Architectures for Biological Foundation ModelsPoster
- BIT-LLM: Brain Instruction Tuned LLM with persistent Cross-Attention for fMRI-to-Text DecodingPoster
- BLIPs: Bayesian Learned Interatomic PotentialsPoster
- BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model PretrainingPoster
- BLOCK-EM: Preventing Emergent Misalignment via Latent BlockingPoster
- BM^2: Coupled Schrödinger Bridge MatchingPoster
- BOCLOAK: Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot DetectionPoster
- BOOSTAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward ModelsPoster
- BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language ModelsPoster
- BPL: Generalizable Deepfake Detection via Bias-only Pair-aware LearningPoster
- BRIDGE: Predicting Human Task Completion Time From Model PerformancePoster
- BRIDGE: Triangular Fixed-Point Refinement for Long-Horizon Persona ConsistencyPoster
- BTSP-CAM: A Brain-Inspired Geometric Memory for Class-Incremental LearningPoster
- BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained PerceptionPoster
- BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor AttacksPoster
- BabyVision: Visual Reasoning Beyond LanguagePoster
- Backjump-on-Graph: Empowering LLMs with Reinforced Retrospective Exploration for Agentic KG ReasoningPoster
- Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?Poster
- Backward SDE–Based Diffusion for Physics-Constrained GenerationPoster
- Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal ReasoningOral
- Baguan-TS: dual in-context learning model for time series forecasting with covariatesPoster
- Balanced LoRA: Removing Parameter Invariance to Accelerate ConvergencePoster
- Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield PerspectivePoster
- Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural NetworksPoster
- Balancing Understanding and Generation in Discrete Diffusion ModelsSpotlight
- Balancing plasticity and stability with Fast and Slow Successor FeaturesPoster
- BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement LearningPoster
- Bandit Social Leaning Dynamics with Exploration EpisodesPoster
- Barriers to Counterfactual Credit Attribution for Autoregressive ModelsPoster
- Base Models Know How to Reason, Thinking Models Learn WhenSpotlight
- Batch Normalization for Neural Networks on Complex DomainsPoster
- Batched Contextual ReinforcementPoster
- Batched First-Order Methods for Parallel LP Solving in MIPPoster
- Bayes-inspired Integration of Pretrained Priors and Few-Shot Evidence for Few-Shot ClassificationPoster
- Bayesian Gated Non-Negative Contrastive LearningPoster
- Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal EmbeddingsPoster
- Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model PriorsPoster
- Bayesian Tensor Decomposition with Diffusion Model PriorPoster
- Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurementsPoster
- Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language ModelsPoster
- BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model InferencePoster
- Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement LearningPoster
- Being More Lightweight and Practical: Mini-sized Contrastive Learning Pre-trained Models for Fine-grained Traffic TaskPoster
- Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation SteeringPoster
- Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor GraphsPoster
- Benchmarking Agent Memory in Interdependent Multi-Session Agentic TasksPoster
- Benchmarking Dense and Indiscernible Object Counting with BlueberriesPoster
- Benchmarking LLM-Assisted Blue Teaming via Standardized Threat HuntingPoster
- Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather ForecastingPoster
- Benchmarking Reward Hack Detection in Code Environments via Contrastive AnalysisPoster
- Benchmarking World-Model Learning with Environment-Level QueriesPoster
- Benchmarking and Enhancing VLM for Compressed Image UnderstandingPoster
- Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual GenerationPoster
- Benchmarking at the Edge of ComprehensionOral
- Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc TeamworkPoster
- Benchmarking the Scientific Mind: Toward Evaluation of Complex-Reasoning Biomedical VQAPoster
- Bend the Basics: Degradation-Aware Deformable Tokenization for All-in-One Image RestorationPoster
- Benign Overfitting in Adversarial Training for Vision TransformersPoster
- Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow MatchingPoster
- Best-of-Both-Worlds for Heavy-Tailed Markov Decision ProcessesPoster
- Better, Faster: Harnessing Self-Improvement in Large Reasoning ModelsPoster
- Betting on Equilibrium: Monitoring Strategic Behavior in Multi-Agent SystemsPoster
- Betting on PredictionsPoster
- Beyond Accuracy and Complexity: The Effective Information Criterion for Structurally Stable Symbolic RegressionPoster
- Beyond Accuracy: Latent Perturbations for Cognitive-Aware DiagnosisPoster
- Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?Poster
- Beyond Additive Decompositions: Interpretability Through SeparabilityPoster
- Beyond Attention Imbalance: Mitigating Hallucinations via Spectral SurgeryPoster
- Beyond Benchmarks: Toward Causally Faithful Evaluation of Large Language ModelsPoster
- Beyond Binary: Continuous State Optimization with Graph-Structured ObjectivesPoster
- Beyond Blind Noising: Disentangled Visual Rectification for Hallucination Mitigation in MLLMsPoster
- Beyond Buffer Limits: Energy-Based Data Reassembly for Continual LearningPoster
- Beyond Confidence: Adaptive and Coherent Decoding for Diffusion Language ModelsPoster
- Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell SnapshotsPoster
- Beyond Correctness: Distance-Based Social Dynamics of Multi-Agent DebatePoster
- Beyond Description: Federated Adaptation via Semantic-Visual Prototype AlignmentPoster
- Beyond Detection: A Structure-Aware Framework for Scene Text TrackingPoster
- Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-supervised LearningPoster
- Beyond Drift: Stabilizing Subjective LLM Evaluation with Information-Theoretic RubricsPoster
- Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy OptimizationPoster
- Beyond Euclidean Summaries: Online Change Point Detection for Distribution-Valued DataPoster
- Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge GraphsPoster
- Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier MonitoringPoster
- Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series ForecastingPoster
- Beyond First-order Asymptotics in Sequential Mean TestingSpotlight
- Beyond Fixed Biases: Decoding the Role of Reasoning Uncertainty in MLLM Modality ConflictsPoster
- Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at ScalePoster
- Beyond Generative Priors: Minority Sampling with JEPA-Guided DiffusionPoster
- Beyond Global Alignment: Fine-Grained Motion-Language Retrieval via Pyramidal Shapley-Taylor LearningSpotlight
- Beyond Hamming: Query-Aware Decoding of Binary Cosine SketchesPoster
- Beyond Heuristics: Learnable Density Control for 3D Gaussian SplattingPoster
- Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View ClusteringPoster
- Beyond Independent Genes: Learning Module-Inductive Representations for Gene Perturbation PredictionPoster
- Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical ImagingPoster
- Beyond Literal Translation: Evaluating Cultural Effectiveness in Social Media UGCPoster
- Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability ContinuumSpotlight
- Beyond Logits: Coherent Hallucination Mitigation via Attention Contrastive DecodingPoster
- Beyond Logits: Metastable Latent Dynamics for Sample-Efficient Best-of-N Selection in LLMsPoster
- Beyond Looking Up, Try Looking Around: Harmonizing Global Structure and Local Consistency in Optimal Transport for Short Text ClusteringPoster
- Beyond Magnitude: Scale-Invariant Evidential Fusion for Multi-View ClassificationPoster
- Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order InformationPoster
- Beyond Majority Voting: Self-Reflective Test-Time Reinforcement Learning for LLM ReasoningPoster
- Beyond Mode Collapse: Distribution Matching for Diverse ReasoningPoster
- Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network DesignPoster
- Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series ForecastingPoster
- Beyond Next-Token Alignment: Distilling Multimodal Large Language Models via Token InteractionsPoster
- Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVRPoster
- Beyond Perplexity: UTF-8 Validity in Byte-aware Language ModelsPoster
- Beyond Pixel Context Windows: Neural World Simulators with Persistent 3D StatePoster
- Beyond Pixels: Mining Compressed Domain Artifacts for Efficient AI-Generated Video DetectionPoster
- Beyond Point Predictions: Manifold Expansion and Dual Alignment for Robust Time Series DistillationPoster
- Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental LearningPoster
- Beyond Policy Training: Recursive Solution Search from Unannotated VideosPoster
- Beyond Prediction: Tail-Aware Scheduling for LLM InferencePoster
- Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive ProgrammingPoster
- Beyond Procedure: Substantive Fairness in Conformal PredictionPoster
- Beyond Rational Illusion: Behaviorally Realistic Strategic ClassificationPoster
- Beyond ReLU: Bifurcation, Oversmoothing, and Topological PriorsSpotlight
- Beyond Reactivity: Proactive Adaptive Conformal Inference for Online LLM FactualityPoster
- Beyond Rewards in RL for Cyber DefencePoster
- Beyond Sample-Level Forgetting: Improving Reliability in Multimodal UnlearningPoster
- Beyond Scalar Rewards: Learning from Text Feedback in LLM Post-TrainingPoster
- Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and StabilityPoster
- Beyond Single Embedding: Modeling User Preferences as Distribution in Federated RecommendationPoster
- Beyond Single-View Indexing: Structure-Aware Multi-View Retrieval for Knowledge-Based VQAPoster
- Beyond Soft Labels: Unifying Dataset Pruning and Distillation for Efficient Large-scale CompressionPoster
- Beyond Softmax: A Natural Parameterization for Categorical Random VariablesPoster
- Beyond Static Allocation: Dynamic Sensitivity-Aware Fine-Tuning for Vision TransformersPoster
- Beyond Static Endpoints: Tool Programs as an Interface for Flexible Agentic Web ServicesPoster
- Beyond Static Pipelines: Learning Dynamic Workflows for Text-to-SQLPoster
- Beyond Structural Symmetries: Linear Mode Connectivity via Neuron IdentifiabilityPoster
- Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-ExpertsPoster
- Beyond Temperature: Hyperfitting as a Late-Stage Geometric ExpansionPoster
- Beyond Test-Time Training: Learning to Reason via Hardware-Efficient Optimal ControlPoster
- Beyond Text-to-SQL: Can LLMs Really Debug Enterprise ETL SQL?Poster
- Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-SolvingSpotlight
- Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement LearningPoster
- Beyond Tokens: Enhancing RTL Quality Estimation via Structural Graph LearningPoster
- Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement LearningPoster
- Beyond Unidirectional Bias: Reciprocal Perspective Calibration in Scene Graph GenerationPoster
- Beyond VLM-Based Rewards: Diffusion-Native Latent Reward ModelingPoster
- Beyond the Bellman Recursion: A Pontryagin-Guided Framework for Non-Exponential DiscountingPoster
- Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented AgentsPoster
- Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet TrainingPoster
- Beyond the Trade-off: Unifying Fairness and Performance in Federated LearningPoster
- Bi-Anchor Interpolation Solver for Accelerating Generative ModelingPoster
- BiCrossNet with Decoupled Dual Generators: A Parameter‑Efficient and Generalizable Few‑Shot Custom Gesture Recognition FrameworkPoster
- BiRQA: Bidirectional Robust Quality Assessment for ImagesPoster
- BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel OptimizationPoster
- BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement LearningPoster
- Bias in Zeroth-Order Normal Estimation for Decision-Based AttacksPoster
- Bias-Spectrum Neural Processes for Parametric PDEs: Architecture Priors Meet PDE ConstraintsPoster
- Biased Generalization in Diffusion ModelsSpotlight
- Biases in the Blind Spot: Detecting What LLMs Fail to MentionPoster
- Bilevel Optimization over Saddle Points of Zero-Sum Markov GamesPoster
- Bilinear Bandits with Partially Observable FeaturesPoster
- Bimodal masked language modeling for bulk RNA-seq and DNA methylation representation learningPoster
- Bio-Inspired Self-Supervised Learning for Wrist-worn IMU SignalsPoster
- Bio-Vision-Inspired Spiking Neural Networks for Object Detection with Event CamerasPoster
- BioAgent Bench: An AI Agent Evaluation Suite for BioinformaticsPoster
- BioDynaSpec: Harmonic-Guided Spatio-Spectral Autoregressive Diffusion for Protein Dynamics GenerationPoster
- BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-SeriesPoster
- BioToken and BioFM – Biologically-Informed Tokenization Enables Accurate and Efficient Genomic Foundation ModelsPoster
- Bioacoustic Geolocation: Species Sounds as Geographic SignalsPoster
- Biologically plausible heavy-tailed connectivity enhances generalizations on cognitive tasks in recurrent neural networksPoster
- Bipartite Graph Attention-based Clustering for Large-scale scRNA-seq DataPoster
- Bits That Count: Quantifying and Predicting Capabilities of Language ModelsPoster
- BizFinBench.v2: Towards Reliable LLMs in Finance via Real-User Data and Offline/Online Bilingual EvaluationPoster
- Black-Box Assisted Regression: Phase Transitions and Minimax OptimalityPoster
- Black-Box Combinatorial Optimization with Order-Invariant Reinforcement LearningPoster
- Black-Box Detection of LLM-Generated Text Using Generalized Jensen Shannon DivergencePoster
- Blending Neural Control Density Functions for Stabilization and SafetyPoster
- Blending Supervised and Reinforcement Fine-Tuning with Prefix SamplingPoster
- Block Rotation is All You Need for MXFP4 QuantizationPoster
- Block-wise Codeword Embedding for Reliable Multi-bit Text WatermarkingPoster
- Blocking the Leakage: Manifold-Aware Gradient Projection for Long-Horizon Test-Time AdaptationPoster
- BlueCodeAgent: A Blue Teaming Agent Powered by Automated Red Teaming for CodeGen AIPoster
- Boost the Identity-Preserving Embedding for Consistent Visual GenerationPoster
- Boosting CVaR Policy Optimization with Quantile GradientsPoster
- Boosting Monocular Metric Depth Estimation via Bokeh RenderingPoster
- Boosting Video Diffusion Models via Masked Autoencoders as TokenizersPoster
- Boosting World Models Learning via Latent-Space Value AlignmentPoster
- Bootstrapped Exploration with Causal Reasoning: A Training Paradigm for Adaptive Forecasting AgentPoster
- Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and EditingPoster
- Bottleneck Communication Delay Minimization for Communication-Efficient Decentralized LearningPoster
- Bottleneck-Guided Spectral Subgoals For Offline Goal-Conditioned RLPoster
- Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural DisentanglementPoster
- Bounded Hyperbolic Tangent: A Stable and Efficient Alternative to Pre-Layer Normalization in Large Language ModelsPoster
- Box Thirding: Anytime Best Arm Identification under Insufficient SamplingPoster
- BrainJanus: A Foundation Model for Unified Understanding and Generation across Brain, Vision, and LanguagePoster
- Branch Scaling Manifests as Implicit Architectural Regularization for Improving Generalization in Overparameterized ResNetsPoster
- Branching Diffusion for Point Processes in Time and SpacePoster
- Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement LearningPoster
- Breaking Dual Bottlenecks: Evolving Unified Multimodal Models into Self-Adaptive Interleaved Visual ReasonersPoster
- Breaking Manifold Continuity: Vector Quantized Modeling for Real-Centric Deepfake DetectionPoster
- Breaking Multi-Task Curse: Reward-Weighted Evolution for Black-Box Many-Task OptimizationPoster
- Breaking the Block: Preserving Data Continuity to Train Superior SAEs for Instruct ModelsPoster
- Breaking the Capacity Bottleneck in Model-Heterogeneous Federated Learning via Gradual Model RestorationPoster
- Breaking the Computational Barrier: Provably Efficient Actor–Critic for Low-Rank MDPsPoster
- Breaking the Echo Chamber: A Dynamic Ensemble Pruning Perspective on MoEPoster
- Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM ReasoningPoster
- Breaking the Factorization Barrier in Diffusion Language ModelsPoster
- Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation ModulationPoster
- Breaking the Reference Bottleneck via Learning to Rewrite Conversational Queries without Gold Reference PassagesPoster
- Breaking the Reversal Curse in Autoregressive Language Models via Identity BridgeSpotlight
- Breaking the Scale Barrier: One-Shot Knowledge Transfer via Frequency TransformPoster
- Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RLPoster
- Breaking the Simplification Bottleneck in Amortized Neural Symbolic RegressionPoster
- Breaking the Synthetic-Real Domain Shortcut for Training-Free Generative Replay-based Class Incremental LearningPoster
- Bregman meets Lévy: Stochastic Mirror Descent with Heavy-Tailed Noise in Continuous and Discrete TimePoster
- Brep2Shape: Boundary and Shape Representation Alignment via Self-supervised TransformersPoster
- Bridging Dynamics and Data: A Unified Diffusion Framework for Mechanistically-Informed Epidemic ForecastingPoster
- Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code TranslationPoster
- Bridging Functional and Representational Similarity via Usable InformationPoster
- Bridging Local–Global Dissonance: Learning from Compressive Measurements for Hyperspectral ReconstructionPoster
- Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-TrainingPoster
- Bridging RGB and RAW: Single-step Deterministic Flow with Homogeneous Aligned GuidancePoster
- Bridging Scaling Laws to On-Policy Reinforcement Learning via Adaptive Batch ScalingPoster
- Bridging Spherical Black-Box OptimizersPoster
- Bridging Structure and Semantics: Uncertainty-Modulated Dual-Path Diffusion for Robust Text-Attributed Graph LearningPoster
- Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series ForecastingPoster
- Bridging Tokens and Geometry: Token-wise 3D Supervision for CAD GenerationPoster
- Bridging Your Imagination with Audio-Video Generation via a Unified DirectorPoster
- Bridging the Gap Between Average and Discounted TD LearningPoster
- Bridging the Gap in Autonomous Science: The Corpus and Benchmark for Biological Protocol ReasoningPoster
- Bridging the Grounding Gap in VideoQA via Typed Memory for Language-based Belief-State ReasoningPoster
- Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice QuestionsPoster
- Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation for NR-IQAPoster
- Bridging the Stability-Expressivity Gap: Synthetic Data Scaling and Preference Alignment for Low-Resource Spoken Language ModelsPoster
- Bring Future Vision: Dynamic Computation Allocation Guided by Lightweight Feature ForecasterPoster
- Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive PromptingPoster
- Bringing Code ALIVE: Optimizing Interactive Frontend Mini-Games via Automated Play and Reinforcement Learning at ScalePoster
- BroRL: Scaling Reinforcement Learning via Broadened ExplorationPoster
- Broadening the Backdoor Basin: Understanding LLM Backdoors Collapse and Making Backdoors PersistentPoster
- BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMsSpotlight
- BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement LearningPoster
- Budget-Constrained Step-Leve Diffusion CachingPoster
- Budget-Efficient Attacks and Robustness Training for Cooperative MARLPoster
- Budget-Feasible Mechanisms for Submodular Welfare Maximization in Procurement AuctionsPoster
- Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized DataPoster
- BuildArena: A Physics‑Aligned Interactive Benchmark of LLMs for Engineering ConstructionPoster
- Building Better Deception Probes Using Targeted Instruction PairsPoster
- Building Reliable Long-Form Generation via Hallucination Rejection SamplingPoster
- Building Social World Model with Large Language ModelsPoster
- Bulk-Calibrated Credal Ambiguity Sets: Fast, Tractable Decision Making under Out-of-Sample ContaminationSpotlight
- Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural NetworksPoster
- Butterworth as Attention: Anisotropic Spectral Gating for PansharpeningPoster
- Byte Pair Encoding for Efficient Time Series ForecastingPoster
- C$^{2}$R: Cross-sample Consistency Regularization Mitigates Feature Splitting and Absorption in Sparse AutoencodersPoster
- CACR: Reinforcing Temporal Answer Grounding in Instructional Video via Candidate-Aware Causal ReasoningPoster
- CADFit: Precise Mesh-to-CAD Program Generation with Hybrid OptimizationPoster
- CALM Before the STORM: Unlocking Native Reasoning for Optimization ModelingPoster
- CAMEL: Confidence-Gated Reflection for Reward ModelingPoster
- CAMP: Coherent Alignment of Multimodal Prototypes for Explainable Complementary LearningPoster
- CANDI: Hybrid Discrete-Continuous Diffusion ModelsPoster
- CAOS: Conformal Aggregation of One-Shot PredictorsPoster
- CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective TrainingPoster
- CARD: Coarse-to-fine Autoregressive Modeling with Radix-based Decomposition for Transferable Free Energy EstimationPoster
- CARE: Adaptive Calibration for Reliable RecommendationsPoster
- CARE: Class-Adaptive Expert Consensus for Reliable Learning with Long-Tailed Noisy LabelsPoster
- CARE: Confounder-Aware Aggregation for Reliable LLM EvaluationPoster
- CAReDiO: Enhancing Cultural Alignment of LLM via Representativeness and Distinctiveness Guided Data OptimizationPoster
- CAST: Modeling Visual State Transitions for Consistent Video RetrievalPoster
- CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMsOral
- CATArena: Evaluating Evolutionary Capabilities of Code Agents via Iterative TournamentsPoster
- CAffNet: Hard Constraint-Affine Neural NetworksPoster
- CB-SLICE: Concept-Based Interpretable Error Slice DiscoveryPoster
- CBV: Clean-label Backdoor Attacks on Vision Language Models via Diffusion ModelsPoster
- CCLRec: Consensus-driven Contrastive Learning for LLM-enhanced Graph RecommendationPoster
- CE$^4$L: Continual Ego, Exo, and Ego-Exo LearningPoster
- CELL: A Causal Perspective for Fairness-aware Graph AdaptationPoster
- CFPO : Counterfactual Policy Optimization For Multimodal ReasoningPoster
- CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language ModelsPoster
- CGRiC: Compositional Risk Certification for Structured LLM OutputsPoster
- CGSVD: Cascaded Granular Singular Value Decomposition for Large Language Model CompressionPoster
- CHB: A Diagnostic Toolkit for Hardness-Aware Clustering EvaluationPoster
- CHESS: Chebyshev Spectral Synthesis for Trajectory CondensationPoster
- CIRBench: Evaluating Large Language Models as LLVM IR OptimizersSpotlight
- CL-GCL: Comprehensive and Lightweight Graph Contrastive LearningPoster
- CLAA: Cross-Layer Attention Aggregation for Accelerating LLM PrefillPoster
- CLAM-Bench: Benchmarking LLM Agents for Library-Scale Cross-Architecture MigrationPoster
- CLARITree: Cholesky and Lookahead Accelerations for Regression with Interpretable Piecewise Linear TreesPoster
- CLASP: Online learning algorithms for Convex Losses And Squared PenaltiesPoster
- CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Subtitle RemovalOral
- CLIMB: Taming the LoRA Residency Cliff in Multi-LoRA ServingPoster
- CLINIC : Evaluating Multilingual Trustworthiness in Language Models for HealthcarePoster
- CLINIC: Towards High-quality Graph Out-Of-Distribution DetectionPoster
- CLIP Tricks You: Training-free Token Pruning for Efficient Pixel Grounding in Large Vision-Language ModelsPoster
- CLoVE: Personalized Federated Learning through Clustering of Loss Vector EmbeddingsPoster
- CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal InstructionPoster
- COBRA: Contribution-Based Bayesian Rank Allocation for Parameter-Efficient Fine-TuningPoster
- CODiff: One-Step Diffusion Model for Camouflaged Object DetectionPoster
- COFT: Counterfactual–Conformal Decoding for Fair Chain‑of‑Thought Reasoning in Large Language ModelsPoster
- COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and SmoothingPoster
- COLLIE: Guiding Skill Discovery in Semantically Coherent Latent SpacePoster
- CONGA:Confidence-and-Gradient-Aware Learning Rate Schedule for Test Time AdaptationPoster
- CONTEXTOR: Contextualized High-order Contrastive LearningPoster
- CONTINUUM: Restoring the Contiguous Tensor Abstraction Efficiently for Dynamic AI Workloads via Hardware VirtualizationSpotlight
- COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving GraphsPoster
- CORAL: Uncertainty-Aware Regulation of Exposure Concentration in Recommender SystemsPoster
- CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal RepresentationsPoster
- CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation DetectionPoster
- CORRECT: COndensed eRror RECognition via knowledge Transfer in multi-agent systemsPoster
- CPMöbius: Iterative Coach–Player Reasoning for Data-Free Reinforcement LearningPoster
- CRAG: Can 3D Generative Models Help 3D Assembly?Poster
- CRAMER: Control via Request-Aware Masking for Editing RecommendersPoster
- CREDIT: Certified Ownership Verification of Deep Neural Networks Against Model Extraction AttacksPoster
- CRPO: Character-centric Group Relative Policy Optimization for Role-aware Reasoning in Role-playing AgentsPoster
- CSD: Content-aware Speculative Decoding for Efficient Image GenerationPoster
- CSG: Cognitive Structure Generation for Intelligent EducationPoster
- CSOR: Coreset Selection for Object Re-identification via Class PruningPoster
- CSPLoRA: Confidence-Guided Structure Planning for Low-Rank AdaptationPoster
- CSPO: Constraint-Sensitive Policy Optimization for Safe Reinforcement LearningSpotlight
- CUARewardBench: Benchmark for Evaluating Reward Models on Computer-using Agent TrajectoriesPoster
- CUPID in the Model Zoo: Online Matchmaking for Selecting Your Dream LLMPoster
- CURE: Consistency-under-Unified Semantic Regularization for Generalized Category DiscoveryPoster
- CURE: Context-driven Diffusion with Progressive Expansion for Single Domain Generalization in Time Series ClassificationPoster
- CURVE: Learning Causality-Inspired Invariant Representations for Robust Scene Understanding via Uncertainty-Guided RegularizationPoster
- CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security VulnerabilityOral
- CVSearch: Empowering Multimodal LLMs with Cognitive Visual Search for High-Resolution Image PerceptionPoster
- CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot ManipulationPoster
- Cache Coherent Resampling for Efficient Test Time Scaling in LLM Reasoning via Adaptive Sequential Monte CarloPoster
- CacheEdit: Efficient Multi-round Image Editing via Adaptive Token-wise Reuse.Poster
- CalPro: Prior-Aware Evidential Conformal Prediction with Structure-Aware Sensitivity Bounds for Protein StructuresPoster
- CaliDist: Calibrating Large Language Models via Behavioral Robustness to DistractionPoster
- Calibrated Knowledge Aggregation in Bayesian Mixture-of-Experts for Continual VQAPoster
- Calibrated Multimodal Representation Learning with Missing ModalitiesPoster
- Calibrated Preference Learning: The Case of Label RankingPoster
- Calibrated Test-Time Guidance for Bayesian InferencePoster
- Calibrating Conservatism for Scalable OversightPoster
- Calibrating Decision Robustness via Inverse Conformal Risk ControlPoster
- Calibrating Generative Models to Distributional ConstraintsPoster
- Calibrating Uncertainty for Zero-Shot Adversarial CLIPPoster
- CamGeo: Sparse Camera-Conditioned Image-to-Video Generation with 3D Geometry PriorsPoster
- Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGradPoster
- Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool UsePoster
- Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?Poster
- Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language ModelsPoster
- Can LLM Agents Stick to the Script? Modeling Commitment in Interactive NarrativesPoster
- Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of ThoughtPoster
- Can LLMs Reason Structurally? Benchmarking via the lens of Data StructuresPoster
- Can Large Language Models Generalize Procedures Across Representations?Poster
- Can Microcanonical Langevin Dynamics Leverage Mini-Batch Gradient Noise?Poster
- Can Muon Fine-tune Adam-Pretrained Models?Poster
- Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity ControlPoster
- Can Simple Denoising Improve Uniform State Diffusion Models?Poster
- Can VLMs Diagnose and Recover from VLA Manipulation Faults?Poster
- Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space ReconstructionPoster
- Can local learning match self-supervised backpropagation?Poster
- Can vision language models learn intuitive physics from interaction?Poster
- Capability-Oriented Training Induced Alignment RiskPoster
- Capacitated Fair-Range Clustering: Hardness and Approximation AlgorithmsPoster
- Capacity without Access: Reinterpreting the Mid-Depth Spectral Plateau in LLMsPoster
- Capacity-Agnostic Parameter Isolation for Continual Graph LearningPoster
- Capacity-Aware Mixture Law Enables Efficient LLM Data OptimizationPoster
- Capturing Gaze Shifts for Guidance: Cross-Modal Fusion Enhancement for VLM Hallucination MitigationPoster
- Caracal: Causal Architecture via Spectral MixingPoster
- Cardinality-Invariant Neural Operator Policies for Scalable PDE ControlPoster
- Cardio-mmFlow: A Gaussian-Prior-Free Physics-Informed Flow Matching Framework for Electrocardiogram to mmWave Radar Synthesis.Poster
- Cascaded Flow Matching for Heterogeneous Tabular Data with Mixed-Type FeaturesPoster
- CatFlow: Co-generation of Slab-Adsorbate Systems via Flow MatchingPoster
- Catch-22: On the Fundamental Tradeoff Between Detectability and Robustness in LLM WatermarkingSpotlight
- Categorical Flow MapsPoster
- Categorical Reparameterization with Denoising Diffusion modelsPoster
- CauScale: Neural Causal Discovery at ScalePoster
- CauSciBench: Evaluating LLM Causal Inference for Scientific ResearchPoster
- CauchyNet: Compact and Data-Efficient Learning using Holomorphic Activation FunctionsPoster
- Causal Attention with Lookahead KeysPoster
- Causal Dependency-Aware Unsupervised Routing for Large Reasoning ModelsPoster
- Causal Detection of Multi-Step LLM Agent AttacksPoster
- Causal Direct Preference Optimization for Distributionally Robust Generative RecommendationPoster
- Causal Discovery for Irregularly Time Series with Consistency GuaranteesPoster
- Causal Disentangled Anchor Learning for Scalable Fair Multi-view ClusteringPoster
- Causal Effect Identifiability in the Presence of Latent Confounders Without Auxiliary VariablesPoster
- Causal Feature Learning via Generalized Rayleigh QuotientsPoster
- Causal Fine-Tuning under Latent Confounded ShiftPoster
- Causal Flow Q-Learning for Robust Offline Reinforcement LearningPoster
- Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Video GenerationPoster
- Causal Identification from Counterfactual Data: Completeness and Bounding ResultsPoster
- Causal Matrix Completion under Multiple Treatments via Mixed Synthetic Nearest NeighborsPoster
- Causal Modeling of Selection in EvolutionSpotlight
- Causal Preference ElicitationPoster
- Causal Representation Learning with Optimal Compression and Complex TreatmentsPoster
- Causal Structure Learning for Sparse Matrix Fill-in ReductionPoster
- Causal discovery for time series with endogenous context variablesPoster
- Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual GenerationPoster
- Causal-EPIG: Causally Aligned Active CATE EstimationPoster
- Causal-JEPA: Learning World Models through Object-Level Latent InterventionsPoster
- Causal-aware Anomaly Detection for Tabular DataPoster
- CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal AttributionPoster
- CausalGame: Benchmarking Causal Thinking of LLM Agents in GamesOral
- CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine LearningPoster
- CausalX: A Unified and Causally-Interpretable Plug-and-Play Model for Multi-modal Spatio-Temporal ForecastingPoster
- CausalXRL: Explainable Reinforcement Learning through Causal Graph ReasoningPoster
- Causally Evaluating the Learnability of Formal Language TasksPoster
- CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative PerceptionPoster
- Causes and Consequences of Representational Similarity in Machine Learning ModelsPoster
- CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware AlignmentPoster
- Cello: A Universal Cell-wise Feature Aggregation framework for Reliable Pathology Images AnalysisPoster
- Censoring with Plausible Deniability: Asymmetric Local Privacy for Multi-Category CDF EstimationPoster
- CentaurEval: Benchmarking Human-in-the-Loop Value in Agentic CodingPoster
- Cerebellar-Inspired Residual Control for Fault Recovery: From Inference-Time Adaptation to Structural ConsolidationPoster
- Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive SmoothingPoster
- Certain Head, Uncertain Tail: Expert-Sample for Test-Time Scaling in Fine-Grained MoEPoster
- Certificate-Guided Pruning for Stochastic Lipschitz OptimizationPoster
- Certificates for Complex-Compatible Learned Cochain LaplaciansPoster
- Certified Circuits: Stability Guarantees for Mechanistic CircuitsPoster
- Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized SmoothingPoster
- Certifying Capabilities from Finite Tests: When Is It Possible?Spotlight
- Certifying Graph Neural Networks Against Label and Structure PoisoningPoster
- Chain-of-Glimpse: Search-Guided Progressive Object-Grounded Reasoning for Video UnderstandingPoster
- Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RLPoster
- Chain-of-Thought Gradient DescentPoster
- Chain-of-Thought Reasoning In The Wild Is Not Always FaithfulPoster
- Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed SamplingSpotlight
- Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate ForecastingPoster
- ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale AwarenessPoster
- Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk MinimizationPoster
- Characterizing Agents in ProductionOral
- Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot DeploymentPoster
- Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable ModelingPoster
- Characterizing, Evaluating, and Optimizing Complex ReasoningOral
- ChartE$^{3}$: A Comprehensive Benchmark for End-to-End Chart EditingPoster
- Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language ModelsPoster
- Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics - Rotating Detonation EnginesPoster
- Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-dimensional Control TasksOral
- Chiral Symmetry Breaking in Transformers: A Group-Equivariant Framework for Solving the Reversal Curse via Adjoint Manifold MappingsPoster
- Chunk-Guided Q-LearningPoster
- Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Vision-Language ModelsPoster
- CircuitPrint: Mechanistic Circuit Fingerprints for Large Language ModelsPoster
- CiteGuard: Conformal False-Discovery Control for Faithful Retrieval-Augmented GenerationPoster
- Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD GenerationPoster
- Class-Conditional Distribution Balancing for Group Robust ClassificationPoster
- Class-Grouped-Normalized-Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated LearningPoster
- Class-Prior Perturbation-Robust Regularization for Imbalanced Unreliable Partial Label LearningPoster
- ClimateAR: Multi-Scale Autoregressive Generative Modeling for Seasonal-to-Interannual Climate ForecastingPoster
- ClinTutor-R1: Advancing Scalable and Robust One-to-Many Alignment in Clinical Socratic EducationSpotlight
- Clipped Q-Learning: Your Value Clipping Is Secretly A Robust OperatorPoster
- Clipping Bottleneck: Stabilizing RLVR via Stochastic Recovery of Near-Boundary SignalsPoster
- Clipping Low-Probability Tokens in SFT Yields a Generalizable Initialization for RLPoster
- Clipping Makes Distributed and Federated Asynchronous SGD Robust to StragglersPoster
- Closing the Expression Gap in LLM Instructions via Socratic QuestioningPoster
- Closing the Loop: Universal Repository Representation with RPG-EncoderPoster
- Closing the Sim-to-Real Gap in Non-Markovian Spreading Processes via GPU-Accelerated Distributional RLPoster
- Clover: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient EstimationPoster
- Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time SeriesPoster
- Clustered Influence FunctionsPoster
- Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph LearningPoster
- Clustering in Deep Stochastic TransformersSpotlight
- Co-Evolving Latent Action World ModelsPoster
- Co-Generative De Novo Functional Protein DesignPoster
- Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM AgentsPoster
- CoCoEdit: Content-Consistent Image Editing via Region Regularized Reinforcement LearningPoster
- CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation SteeringPoster
- CoCoQuant: Breaking the Bandwidth Wall via Co-Optimized Communication and Computation QuantizationPoster
- CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI ReviewersPoster
- CoDA-Bench: Can Code Agents Handle Data-Intensive Tasks?Poster
- CoEvol-NO: State and Coordinate Co-Evolution with an Error-Driven Predictor-Corrector Paradigm for Neural Operator TransformerOral
- CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image GenerationPoster
- CoFrGeNet: Continued Fraction Architectures for Language GenerationPoster
- CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series ForecastingPoster
- CoGeoAD: Hierarchical Color-Geometric Fusion with Multi-View Attention for Zero-Shot 3D Anomaly DetectionPoster
- CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous DrivingPoster
- CoLA: Cross-Modal Low-rank Adaptation for Multimodal Downstream TasksPoster
- CoME: Empowering Channel-of-Mobile-Experts with Informative Hybrid-Capabilities ReasoningPoster
ICML accepted papers in other years
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