Papers
Tue 3 Feb 2026
585 papers
- WebExpert: domain-aware web agents with critic-guided expert experience for high-precision searchLLM agents and tool use → Web, search, and research agents
- One Size Does Not Fit All: Token-Wise Adaptive Compression for KV CacheEfficient LLM inference and serving → KV cache optimization
- SalamahBench: Toward Standardized Safety Evaluation for Arabic Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- TAB-PO: Preference Optimization with a Token-Level Adaptive Barrier for Token-Critical Structured GenerationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Developing a Multi-Agent System to Generate Next Generation Science Assessments with Evidence-Centered DesignLLM agents and tool use → Educational agents and math problem solving
- MAPLE: A Sub-Agent Architecture for Memory, Learning, and Personalization in Agentic AI SystemsLLM agents and tool use → Agent memory systems
- Declarative by Design, Assistable Only by Convention: Benchmarking Multi-Agent Frameworks for AI-AssistabilityLLM agents and tool use → Software engineering coding agents
- DSFlow: Dual Supervision and Step-Aware Architecture for One-Step Flow Matching Speech SynthesisDiffusion models → Audio, speech and music
- UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual DocumentsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- DLLM-Searcher: Adapting Diffusion Large Language Model for Search AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- ST-Raptor: An Agentic System for Semi-Structured Table QALLM agents and tool use → Web, search, and research agents
- TransConv-DDPM: Enhanced Diffusion Model for Generating Time-Series Data in HealthcareDiffusion models → Medical imaging and segmentation
- LLM-FSM: Scaling Large Language Models for Finite-State Reasoning in RTL Code GenerationLLM reasoning → Reasoning for agents, planning and code
- PackInfer: Compute- and I/O-Efficient Attention for Batched LLM InferenceEfficient LLM inference and serving → KV cache optimization
- Momentum Attention: The Physics of In-Context Learning and Spectral Forensics for Mechanistic InterpretabilityMechanistic interpretability → Circuits and mechanistic analysis
- Phantom Transfer: Data Poisoning can Survive Data-Level DefencesLLM safety and security → Backdoor and data poisoning attacks
- Semantic-level Backdoor Attack against Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Steering Externalities: Benign Activation Steering Unintentionally Increases Jailbreak Risk for Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- BASS: Benchmarking Audio LMs for Musical Structure and Semantic ReasoningLLM reasoning → Audio-language model reasoning
- A Probabilistic Framework for Solving High-Frequency Helmholtz Equations via Diffusion ModelsDiffusion models → Flow matching, time series and science
- Agentic AI-Empowered Dynamic Survey FrameworkLLM agents and tool use → Web, search, and research agents
- DADP: Domain Adaptive Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics
- PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation ModelsSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- After Talking with 1,000 Personas: Learning Preference-Aligned Proactive Assistants From Large-Scale Persona InteractionsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Bypassing the Rationale: Causal Auditing of Implicit Reasoning in Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Nemotron ColEmbed V2: Top-Performing Late Interaction Embedding Models for Visual Document RetrievalRetrieval-augmented generation → Multimodal RAG
- Efficient Long-Horizon Vision-Language-Action Models via Static-Dynamic DisentanglementVision-language-action models → Efficient VLA inference and adaptation
- Likelihood-Based Reward Designs for General LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Monitorability as a Free Gift: How RLVR Spontaneously Aligns ReasoningLLM reasoning → Reinforcement learning for reasoning
- Adaptive Test-Time Compute Allocation via Learned Heuristics over Categorical StructureLLM reasoning → Test-time compute and efficient thinking
- VLS: Steering Pretrained Robot Policies via Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Safety-Critical Reinforcement Learning with Viability-Based Action Shielding for Hypersonic Longitudinal FlightDeep reinforcement learning methods → Safe and constrained RL
- AgentArk: Distilling Multi-Agent Intelligence into a Single LLM AgentLLM reasoning → Reasoning for agents, planning and code +1
- Enhancing Mathematical Problem Solving in LLMs through Execution-Driven Reasoning AugmentationLLM reasoning → Mathematical reasoning
- Autonomous AI Agents for Real-Time Affordable Housing Site Selection: Multi-Objective Reinforcement Learning Under Regulatory ConstraintsDeep reinforcement learning methods → RL for games and combinatorial optimization
- SpecMD: A Comprehensive Study On Speculative Expert PrefetchingMixture-of-experts → Efficient MoE training and inference systems
- SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?LLM reasoning → Spatial and embodied reasoning +1
- The Role of Target Update Frequencies in Q-LearningDeep reinforcement learning methods → RL theory and sample complexity
- Knowledge Model Prompting Increases LLM Performance on Planning TasksLLM reasoning → Reasoning for agents, planning and code
- 4DPC2hat: Towards Dynamic Point Cloud Understanding with Failure-Aware BootstrappingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- SymPlex: A Structure-Aware Transformer for Symbolic PDE SolvingDeep reinforcement learning methods → Interpretable and logic-guided RL
- Fast-Slow Efficient Training for Multimodal Large Language Models via Visual Token PruningMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Conformal Thinking: Risk Control for Reasoning on a Compute BudgetLLM reasoning → Test-time compute and efficient thinking
- Bridging Online and Offline RL: Contextual Bandit Learning for Multi-Turn Code GenerationOffline RL and imitation learning from data → Offline RL algorithms
- FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-TranslationLLM agents and tool use → Software engineering coding agents
- Understanding Agent Scaling in LLM-Based Multi-Agent Systems via DiversityLLM agents and tool use → General LLM agent frameworks and benchmarks
- BridgeV2W: Bridging Video Generation Models to Embodied World Models via Embodiment MasksWorld models → Embodied and robot world models
- WebSentinel: Detecting and Localizing Prompt Injection Attacks for Web AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Inference-time Unlearning Using Conformal PredictionLLM safety and security → Machine unlearning
- AOrchestra: Automating Sub-Agent Creation for Agentic OrchestrationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Fix the Structural Bottleneck: Context Compression via Explicit Information TransmissionLLM agents and tool use → Agent memory systems +1
- Efficient Estimation of Kernel Surrogate Models for Task AttributionLLM reasoning → Reinforcement learning for reasoning
- QVLA: Not All Channels Are Equal in Vision-Language-Action Model's QuantizationVision-language-action models → Efficient VLA inference and adaptation
- DiffLOB: Diffusion Models for Counterfactual Generation in Limit Order BooksDiffusion models → Flow matching, time series and science
- An Empirical Study of Collective Behaviors and Social Dynamics in Large Language Model AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RLLLM reasoning → Reinforcement learning for reasoning
- Reasoning with Latent Tokens in Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- Conditional Flow Matching for Visually-Guided Acoustic HighlightingDiffusion models → Audio, speech and music
- Test-Time Conditioning with Representation-Aligned Visual FeaturesDiffusion models → Diffusion foundations and sampling
- Zero-shot large vision-language model prompting for automated bone identification in paleoradiology x-ray archivesMultimodal LLMs / vision-language models → Medical vision-language models
- LIVE: Long-horizon Interactive Video World ModelingWorld models → Video-generation world models and simulators
- Edge-Optimized Vision-Language Models for Underground Infrastructure AssessmentMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- RegionReasoner: Region-Grounded Multi-Round Visual ReasoningLLM reasoning → Multimodal reasoning +1
- CUBO: Self-Contained Retrieval-Augmented Generation on Consumer Laptops 10 GB Corpora, 16 GB RAM, Single-Device DeploymentRetrieval-augmented generation → RAG pipeline design and evaluation
- BranPO: Scalable Contrastive Branch Sampling for Long-Horizon Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Beyond Tokens: Semantic-Aware Speculative Decoding for Efficient Inference by Probing Internal StatesEfficient LLM inference and serving → Speculative decoding
- OmniRAG-Agent: Agentic Omnimodal Reasoning for Low-Resource Long Audio-Video Question AnsweringLLM agents and tool use → Multimodal and embodied agents
- Cognitively Diverse Multiple-Choice Question Generation: A Hybrid Multi-Agent Framework with Large Language ModelsLLM agents and tool use → Educational agents and math problem solving
- Agent Primitives: Reusable Latent Building Blocks for Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- OCRTurk: A Comprehensive OCR Benchmark for TurkishRetrieval-augmented generation → Multimodal RAG
- Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- TodyComm: Task-Oriented Dynamic Communication for Multi-Round LLM-based Multi-Agent SystemLLM agents and tool use → General LLM agent frameworks and benchmarks
- MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint ReconstructionVision-language-action models → Human-video and latent-action pretraining
- MM-SCALE: Grounded Multimodal Moral Reasoning via Scalar Judgment and Listwise AlignmentLLM reasoning → Reasoning benchmarks and evaluation +2
- Mitigating Conversational Inertia in Multi-Turn AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- RAGTurk: Best Practices for Retrieval Augmented Generation in TurkishRetrieval-augmented generation → RAG pipeline design and evaluation
- Reinforcement Fine-Tuning for History-Aware Dense Retriever in RAGRetrieval-augmented generation → Agentic RAG, agents and memory
- Tutorial on Reasoning for IR & IR for ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Can LLMs Do Rocket Science? Exploring the Limits of Complex Reasoning with GTOC 12LLM reasoning → Reasoning for agents, planning and code
- Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report GenerationLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Explanations Leak: Membership Inference with Differential Privacy and Active Learning DefenseLLM safety and security → Membership inference attacks
- A Lightweight Library for Energy-Based Joint-Embedding Predictive ArchitecturesWorld models → Latent predictive world models
- Refer-Agent: A Collaborative Multi-Agent System with Reasoning and Reflection for Referring Video Object SegmentationLLM reasoning → Multimodal reasoning +1
- CL-bench: A Benchmark for Context LearningLLM reasoning → Reasoning benchmarks and evaluation
- Don't believe everything you read: Understanding and Measuring MCP Behavior under Misleading Tool DescriptionsLLM agents and tool use → Agent threats, guardrails and governance
- Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- EHRWorld: A Patient-Centric Medical World Model for Long-Horizon Clinical TrajectoriesWorld models → Medical and surgical world models
- EVE: Efficient Verification of Data Erasure through Customized Perturbation in Approximate UnlearningLLM safety and security → Machine unlearning
- CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series ForecastingDiffusion models → Flow matching, time series and science
- HySparse: A Hybrid Sparse Attention Architecture with Oracle Token Selection and KV Cache SharingMixture-of-experts → Efficient MoE training and inference systems +1
- When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMsLLM reasoning → Clinical and biomedical applications
- SEAD: Self-Evolving Agent for Multi-Turn Service DialogueLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- AffordanceGrasp-R1:Leveraging Reasoning-Based Affordance Segmentation with Reinforcement Learning for Robotic GraspingLLM reasoning → Spatial and embodied reasoning
- PnP-U3D: Plug-and-Play 3D Framework Bridging Autoregression and Diffusion for Unified Understanding and GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Channel-Aware Conditional Diffusion Model for Secure MU-MISO CommunicationsDiffusion models → Diffusion for compression and wireless
- D3PIA: A Discrete Denoising Diffusion Model for Piano Accompaniment Generation From Lead sheetDiffusion models → Audio, speech and music
- Not All Negative Samples Are Equal: LLMs Learn Better from Plausible ReasoningLLM reasoning → Reinforcement learning for reasoning
- Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
- FaithRL: Learning to Reason Faithfully through Step-Level Faithfulness MaximizationLLM reasoning → Reinforcement learning for reasoning
All 585
- Explaining the Explainer: Understanding the Inner Workings of Transformer-based Symbolic Regression ModelsMechanistic interpretability → Circuits and mechanistic analysis
- Reparameterization Flow Policy OptimizationDeep reinforcement learning methods → RL with diffusion and flow models
- DALI: A Workload-Aware Offloading Framework for Efficient MoE Inference on Local PCsMixture-of-experts → Efficient MoE training and inference systems
- Decoupling Skeleton and Flesh: Efficient Multimodal Table Reasoning with Disentangled Alignment and Structure-aware GuidanceLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Path Integration and Object-Location Binding Emerge in an Action-Conditioned Predictive Sequence NetworkWorld models → World models for navigation
- Self-Verification Dilemma: Experience-Driven Suppression of Overused Checking in LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- ScDiVa: Masked Discrete Diffusion for Joint Modeling of Single-Cell Identity and ExpressionDiffusion models → Flow matching, time series and science
- Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-ExpertsMixture-of-experts → Mixture of LoRA experts
- IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement LearningLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Contextualized Visual Personalization in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional PairingLLM reasoning → Reinforcement learning for reasoning
- Score-based diffusion models for severely ill-posed problems in diffuse optical tomographyDiffusion models → Inverse problems and image restoration
- Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image GenerationDiffusion models → Image generation, text-to-image and editing
- CRL-VLA: Continual Vision-Language-Action LearningVision-language-action models → Reinforcement learning and post-training
- A-RAG: Scaling Agentic Retrieval-Augmented Generation via Hierarchical Retrieval InterfacesLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Ontology-to-tools compilation for executable semantic constraint enforcement in LLM agentsLLM agents and tool use → Web, search, and research agents
- Failure is Feedback: History-Aware Backtracking for Agentic Traversal in Multimodal GraphsLLM agents and tool use → Web, search, and research agents
- ConsistentRFT: Reducing Visual Hallucinations in Flow-based Reinforcement Fine-TuningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- CoCoEmo: Composable and Controllable Human-Like Emotional TTS via Activation SteeringMechanistic interpretability → Activation steering methods
- SWE-World: Building Software Engineering Agents in Docker-Free EnvironmentsLLM agents and tool use → Software engineering coding agents
- Socratic-Geo: Synthetic Data Generation and Geometric Reasoning via Multi-Agent InteractionLLM reasoning → Spatial and embodied reasoning +3
- Verified Critical Step Optimization for LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-TrainingLLM agents and tool use → Software engineering coding agents
- UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA UnlearningDiffusion models → Image generation, text-to-image and editing +1
- Enhancing Quantum Diffusion Models for Complex Image GenerationDiffusion models → Diffusion foundations and sampling
- Risk Awareness Injection: Calibrating Vision-Language Models for Safety without Compromising UtilityLLM reasoning → Reasoning for agents, planning and code +2
- Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RLOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- An Approximate Ascent Approach To Prove Convergence of PPODeep reinforcement learning methods → RL theory and sample complexity
- Seeing Through the Chain: Mitigate Hallucination in Multimodal Reasoning Models via CoT Compression and Contrastive Preference OptimizationLLM reasoning → Hallucination detection and mitigation +1
- Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning FailuresLLM safety and security → Machine unlearning
- SLIM-Diff: Shared Latent Image-Mask Diffusion with Lp loss for Data-Scarce Epilepsy FLAIR MRIDiffusion models → Medical imaging and segmentation
- GryphOne: Symbol-Aware Masked Diffusion for Structural Refinement in Offline Handwritten Mathematical Expression RecognitionDiffusion models → Image generation, text-to-image and editing
- Pursuing Best Industrial Practices for Retrieval-Augmented Generation in the Medical DomainRetrieval-augmented generation → Medical and biomedical RAG
- PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric DiagnosisLLM reasoning → Clinical and biomedical applications
- Accurate Failure Prediction in Agents Does Not Imply Effective Failure PreventionLLM agents and tool use → Software engineering coding agents
- GuardReasoner-Omni: A Reasoning-based Multi-modal Guardrail for Text, Image, Video, and AudioLLM safety and security → Safety alignment, refusal and guardrails
- MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement LearningLLM agents and tool use → Medical and scientific domain agents
- MIRROR: A Multi-Agent Framework with Iterative Adaptive Revision and Hierarchical Retrieval for Optimization Modeling in Operations ResearchLLM agents and tool use → General LLM agent frameworks and benchmarks
- Invisible Clean-Label Backdoor Attacks for Generative Data AugmentationLLM safety and security → Backdoor and data poisoning attacks
- RDT2: Exploring the Scaling Limit of UMI Data Towards Zero-Shot Cross-Embodiment GeneralizationVision-language-action models → Generalist VLA models and benchmarks
- medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential FunctionsOffline RL and imitation learning from data → Safe offline RL
- Periodic Regularized Q-LearningDeep reinforcement learning methods → RL theory and sample complexity
- R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- POP: Prefill-Only Pruning for Efficient Large Model InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill SynthesisLLM reasoning → Reasoning for agents, planning and code +1
- Beyond Suffixes: Token Position in GCG Adversarial Attacks on Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- CSR-Bench: A Benchmark for Evaluating the Cross-modal Safety and Reliability of MLLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- LPS-Bench: Benchmarking Safety Awareness of Computer-Use Agents in Long-Horizon Planning under Benign and Adversarial ScenariosLLM agents and tool use → Agent threats, guardrails and governance
- Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- InstaDrive: Instance-Aware Driving World Models for Realistic and Consistent Video GenerationWorld models → World models for autonomous driving +1
- "LLM Agent Performance" Is Not a Single Evaluation TargetLLM agents and tool use → General LLM agent frameworks and benchmarks
- EventFlash: Towards Efficient MLLMs for Event-Based VisionMultimodal LLMs / vision-language models → Video understanding with MLLMs
- TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic BenchmarkingLLM agents and tool use → Agent memory systems
- PokeFusion Attention: A Lightweight Cross-Attention Mechanism for Style-Conditioned Image GenerationDiffusion models → Image generation, text-to-image and editing
- Beyond Quantity: Trajectory Diversity Scaling for Code AgentsLLM agents and tool use → Software engineering coding agents
- FARTrack: Fast Autoregressive Visual Tracking with High PerformanceKnowledge distillation → Detection and dense prediction distillation
- ConsisDrive: Identity-Preserving Driving World Models for Video Generation by Instance MaskWorld models → World models for autonomous driving +1
- Lookahead Sample Reward Guidance for Test-Time Scaling of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- VIRAL: Visual In-Context Reasoning via Analogy in Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
- Spectral Evolution Search: Efficient Inference-Time Scaling for Reward-Aligned Image GenerationLLM reasoning → Diffusion reasoning and test-time scaling
- Sparsity is Combinatorial Depth: Quantifying MoE Expressivity via Tropical GeometryMixture-of-experts → Expert routing strategies
- ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term ContributionLLM reasoning → Test-time compute and efficient thinking +1
- SLOPE: Optimistic Potential Landscape Shaping for Model-based Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning
- Hierarchical Proportion Models for Motion Generation via Integration of Motion PrimitivesOffline RL and imitation learning from data → Robot manipulation imitation learning
- DynSplit-KV: Dynamic Semantic Splitting for KVCache Compression in Efficient Long-Context LLM InferenceEfficient LLM inference and serving → KV cache optimization
- LSGQuant: Layer-Sensitivity Guided Quantization for One-Step Diffusion Real-World Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- Synthesizing File-Level Data for Unit Test Generation with Chain-of-Thoughts via Self-DebuggingLLM reasoning → Reasoning for agents, planning and code
- StepScorer: Accelerating Reinforcement Learning with Step-wise Scoring and Psychological Regret ModelingDeep reinforcement learning methods → RL training of language and agent models
- MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned ReasoningLLM reasoning → Time series reasoning
- VALUEFLOW: Toward Pluralistic and Steerable Value-based Alignment in Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation DetectionLLM agents and tool use → Web, search, and research agents
- When Attention Betrays: Erasing Backdoor Attacks in Robotic Policies by Reconstructing Visual TokensVision-language-action models → Safety and adversarial attacks
- FASA: Frequency-aware Sparse AttentionEfficient LLM inference and serving → KV cache optimization
- Enhancing Foundation VLM Robustness to Missing Modality: Scalable Diffusion for Bi-directional Feature RestorationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- General Agents Contain World Models, even under Partial Observability and StochasticityWorld models → World models for language agents
- Internet of Agentic AI: Incentive-Compatible Distributed Teaming and WorkflowLLM agents and tool use → General LLM agent frameworks and benchmarks
- Self-Hinting Language Models Enhance Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +1
- Short Chains, Deep Thoughts: Balancing Reasoning Efficiency and Intra-Segment Capability via Split-Merge OptimizationLLM reasoning → Test-time compute and efficient thinking
- SwiftVLM: Efficient Vision-Language Model Inference via Cross-Layer Token BypassMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- FinMTM: A Multi-Turn Multimodal Benchmark for Financial Reasoning and Agent EvaluationLLM reasoning → Reasoning for agents, planning and code +2
- Architectural Design, Not Only Model Intelligence, Governs Multi-Agent LLM PerformanceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Flexible Geometric Guidance for Probabilistic Human Pose Estimation with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Function-Space Empirical Bayes Regularisation with Large Vision-Language Model PriorsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- A Unified Candidate Set with Scene-Adaptive Refinement via Diffusion for End-to-End Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Gromov Wasserstein Optimal Transport for Semantic CorrespondencesDiffusion models → Image generation, text-to-image and editing
- Consensus Group Relative Policy Optimization for Text GenerationLLM reasoning → Reinforcement learning for reasoning
- Risky-Bench: Probing Agentic Safety Risks under Real-World DeploymentLLM agents and tool use → Agent threats, guardrails and governance
- De-conflating Preference and Qualification: Constrained Dual-Perspective Reasoning for Job Recommendation with Large Language ModelsLLM reasoning → LLM reasoning for recommendation +1
- Test-time Recursive Thinking: Self-Improvement without External FeedbackLLM reasoning → Reinforcement learning for reasoning +1
- Training and Simulation of Quadrupedal Robot in Adaptive Stair Climbing and Descending for Indoor Firefighting: An End-to-End Reinforcement Learning ApproachDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- The Trigger in the Haystack: Extracting and Reconstructing LLM Backdoor TriggersLLM safety and security → Backdoor and data poisoning attacks
- AERO: Autonomous Evolutionary Reasoning Optimization via Endogenous Dual-Loop FeedbackLLM reasoning → Test-time compute and efficient thinking
- TMS: Trajectory-Mixed Supervision for Reward-Free, On-Policy SFTLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative SignalsLLM reasoning → Mathematical reasoning
- IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token PruningMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- MAS-ProVe: Understanding the Process Verification of Multi-Agent SystemsLLM reasoning → Reasoning for agents, planning and code +1
- SAES-SVD: Self-Adaptive Suppression of Accumulated and Local Errors for SVD-based LLM CompressionMechanistic interpretability → SAE features and their applications
- CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMsLLM reasoning → Reinforcement learning for reasoning
- Clarify Before You Draw: Proactive Agents for Robust Text-to-CAD GenerationLLM agents and tool use → Multimodal and embodied agents
- SAFE-KD: Risk-Controlled Early-Exit Distillation for Vision BackbonesEfficient LLM inference and serving → Early exit and edge inference
- DF-LoGiT: Data-Free Logic-Gated Backdoor Attacks in Vision TransformersLLM safety and security → Backdoor and data poisoning attacks
- Bongards at the Boundary of Perception and Reasoning: Programs or Language?LLM reasoning → Multimodal reasoning +1
- LatentMem: Customizing Latent Memory for Multi-Agent SystemsLLM agents and tool use → Agent memory systems
- Visual Reasoning over Time Series via Multi-Agent SystemLLM reasoning → Time series reasoning +1
- RC-GRPO: Reward-Conditioned Group Relative Policy Optimization for Multi-Turn Tool Calling AgentsLLM reasoning → Reinforcement learning for reasoning +1
- STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- CVE-Factory: Scaling Expert-Level Agentic Tasks for Code Security VulnerabilityLLM agents and tool use → Agent threats, guardrails and governance
- Distilling LLM Reasoning into Graph of Concept PredictorsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Open Problems in Differentiable Social Choice: Learning Mechanisms, Decisions, and AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Agent Alpha: Tree Search Unifying Generation, Exploration and Evaluation for Computer-Use AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy DistillationLLM reasoning → Multimodal reasoning +2
- Learning to Repair Lean Proofs from Compiler FeedbackLLM agents and tool use → Educational agents and math problem solving
- Why Some Models Resist Unlearning: A Linear Stability PerspectiveLLM safety and security → Machine unlearning
- Do LLMs Share Human-Like Biases? Causal Reasoning Under Prior Knowledge, Irrelevant Context, and Varying Compute BudgetsLLM reasoning → Causal reasoning in LLMs
- CPMobius: Iterative Coach-Player Reasoning for Data-Free Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Structuring Value Representations via Geometric Coherence in Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
- Aligning Forest and Trees in Images & Long Captions for Visually Grounded UnderstandingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Where Norms and References Collide: Evaluating LLMs on Normative ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Learning Fast Monomial Orders for Gr"obner Basis ComputationsDeep reinforcement learning methods → RL theory and sample complexity
- Generative Engine Optimization: A VLM and Agent Framework for Pinterest Acquisition GrowthLLM agents and tool use → Multimodal and embodied agents
- Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body ControlDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache QuantizationDiffusion models → Video generation +1
- N"uwa: Mending the Spatial Integrity Torn by VLM Token PruningMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- 3D-Learning: Diffusion-Augmented Distributionally Robust Decision-Focused LearningDiffusion models → Diffusion foundations and sampling
- AgenticSZZ: Temporal Knowledge Graph-Guided Agentic Bug-Inducing Commit IdentificationLLM agents and tool use → Software engineering coding agents
- Distance Marching for Generative ModelingDiffusion models → Flow matching, time series and science
- Robustness Risk of Conversational Retrieval: Identifying and Mitigating Noise Sensitivity in Qwen3-Embedding Model
- To Throw a Stone with Six Birds: On Agents and Agenthood
- One Model, Many Skills: Parameter-Efficient Fine-Tuning for Multitask Code Analysis
- Verify as You Go: An LLM-Powered Browser Extension for Fake News Detection
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- Universality of shallow and deep neural networks on non-Euclidean spaces
- Contextual Information Allocation in Shared-State Cognitive Models: An Information-Theoretic Bound
- BamaER: A Behavior-Aware Memory-Augmented Model for Exercise Recommendation
- IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation
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- General learned delegation by clones
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- The Anatomy of the Moltbook Social Graph
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- Aster: Autonomous Scientific Discovery over 20x Faster Than Existing Methods
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- AnyStyle: Single-Pass Multimodal Stylization for 3D Gaussian Splatting
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- Understanding and Guiding Layer Placement in Parameter-Efficient Fine-Tuning of Large Language Models
- Chaplains' Reflections on the Design and Usage of AI for Conversational Care
- A Multi-Modal Foundational Model for Wireless Communication and Sensing
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- Rational ANOVA Networks
- When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making
- Functional Stochastic Localization
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- DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks
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- Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science
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- Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
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- Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization
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- Anytime Pretraining: Horizon-Free Learning-Rate Schedules with Weight Averaging
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- ContraLog: Log File Anomaly Detection with Contrastive Learning and Masked Language Modeling
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- Equilibrium Propagation for Non-Conservative Systems
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- Sequential Group Composition: A Window into the Mechanics of Deep Learning
- Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration
- CTTVAE: Latent Space Structuring for Conditional Tabular Data Generation on Imbalanced Datasets
- TRE: Encouraging Exploration in the Trust Region
- SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection
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- Ultra Fast PDE Solving via Physics Guided Few-step Diffusion
- Multi-Objective Optimization for Synthetic-to-Real Style Transfer
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- Simulation-Based Inference via Regression Projection and Batched Discrepancies
- Generator-based Graph Generation via Heat Diffusion
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- SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network
- TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection
- High-Resolution Underwater Camouflaged Object Detection: GBU-UCOD Dataset and Topology-Aware and Frequency-Decoupled Networks
- SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM
- Efficient Algorithms for Partial Constraint Satisfaction Problems over Control-flow Graphs
- APEX: Probing Neural Networks via Activation Perturbation
- V0: A Generalist Value Model for Any Policy at State Zero
- Optimization and Generation in Aerodynamics Inverse Design
- Asymmetric Hierarchical Anchoring for Robust Audio-Visual Cross-Modal Generalization
- Riemannian Neural Optimal Transport
- ACL: Aligned Contrastive Learning Improves BERT and Multi-exit BERT Fine-tuning
- NPCNet: Navigator-Driven Pseudo Text for Deep Clustering of Early Sepsis Phenotyping
- ELIQ: A Label-Free Framework for Quality Assessment of Evolving AI-Generated Images
- Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets
- Assessing the Impact of Typological Features on Multilingual Machine Translation in the Age of Large Language Models
- How to Train Your Resistive Network: Generalized Equilibrium Propagation and Analytical Learning
- Persona Generators: Generating Diverse Synthetic Personas for Arbitrary Contexts
- Can Large Language Models Generalize Procedures Across Representations?
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- Sparse Training of Neural Networks based on Multilevel Mirror Descent
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- Morphe: High-Fidelity Generative Video Streaming with Vision Foundation Model
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- Rank-Learner: Orthogonal Ranking of Treatment Effects
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- A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems
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- Generative Decompression: Optimal Lossy Decoding Against Distribution Mismatch
- Lookahead Path Likelihood Optimization for Diffusion LLMs
- Least but not Last: Fine-tuning Intermediate Principal Components for Better Performance-Forgetting Trade-Offs
- DeepDFA: Injecting Temporal Logic in Deep Learning for Sequential Subsymbolic Applications
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- When Routing Collapses: On the Degenerate Convergence of LLM Routers
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- Soft-Radial Projection for Constrained End-to-End Learning
- Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework
- HetroD: A High-Fidelity Drone Dataset and Benchmark for Autonomous Driving in Heterogeneous Traffic
- Acceleration of Atomistic NEGF: Algorithms, Parallelization, and Machine Learning
- DiscoverLLM: From Executing Intents to Discovering Them
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- Towards Distillation-Resistant Large Language Models: An Information-Theoretic Perspective
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- Z3D: Zero-Shot 3D Visual Grounding from Images
- MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling
- GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer
- Achieving Linear Speedup for Composite Federated Learning
- PACE: Pretrained Audio Continual Learning
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- Robustness as an Emergent Property of Task Performance
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- PWAVEP: Purifying Imperceptible Adversarial Perturbations in 3D Point Clouds via Spectral Graph Wavelets
- Bayesian Conformal Prediction as a Decision Risk Problem
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- Multiparameter Uncertainty Mapping in Quantitative Molecular MRI using a Physics-Structured Variational Autoencoder (PS-VAE)
- Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
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- Lipschitz Multiscale Deep Equilibrium Models: A Theoretically Guaranteed and Accelerated Approach
- LEVIO: Lightweight Embedded Visual Inertial Odometry for Resource-Constrained Devices
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- Universal Approximation of Continuous Functionals on Compact Subsets via Linear Measurements and Scalar Nonlinearities
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- HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysis
- Principled Federated Random Forests for Heterogeneous Data
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- Mi'ci Princ -- A Little Boy Teaching Speech Technologies the Chakavian Dialect
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- Distribution-Aware End-to-End Embedding for Streaming Numerical Features in Click-Through Rate Prediction
- Topology Matters: A Cautionary Case Study of Graph SSL on Neuro-Inspired Benchmarks
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- WebSplatter: Enabling Cross-Device Efficient Gaussian Splatting in Web Browsers via WebGPU
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- Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation
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- What Makes a Good Example? Modeling Exemplar Selection with Neural Network Representations
- Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis
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