mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 26 May 2025

651 papers

  1. Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMsLLM safety and security → Jailbreaking
  2. LLM Web Dynamics: Tracing Model Collapse in a Network of LLMsSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  3. Survey of LLM Agent Communication with MCP: A Software Design Pattern Centric ReviewLLM agents and tool use → General LLM agent frameworks and benchmarks
  4. Seed Selection for Human-Oriented Image Reconstruction via Guided DiffusionDiffusion models → Diffusion for compression and wireless
  5. Probabilistic Spatial Interpolation of Sparse Data using Diffusion ModelsDiffusion models → Flow matching, time series and science
  6. MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email DetectionLLM agents and tool use → Agent threats, guardrails and governance
  7. Unveiling the "Fairness Seesaw": Discovering and Mitigating Gender and Race Bias in Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
  8. R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning +1
  9. USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  10. Benign-to-Toxic Jailbreaking: Inducing Harmful Responses from Harmless PromptsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  11. xChemAgents: Agentic AI for Explainable Quantum ChemistryLLM agents and tool use → Medical and scientific domain agents
  12. Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  13. Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
  14. Learning a Pessimistic Reward Model in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  15. Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
  16. Project Riley: Multimodal Multi-Agent LLM Collaboration with Emotional Reasoning and VotingLLM reasoning → Audio-language model reasoning +1
  17. Embodied AI with Foundation Models for Mobile Service Robots: A Systematic ReviewMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  18. CCL-LGS: Contrastive Codebook Learning for 3D Language Gaussian SplattingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  19. HoPE: Hybrid of Position Embedding for Long Context Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  20. HAMburger: Accelerating LLM Inference via Token SmashingEfficient LLM inference and serving → Early exit and edge inference
  21. The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent HomologyLLM safety and security → Jailbreaking +1
  22. MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and RobustnessLLM reasoning → Spatial and embodied reasoning +1
  23. OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory GenerationWorld models → Embodied and robot world models +1
  24. SCAR: Shapley Credit Assignment for More Efficient RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  25. GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data GenerationSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
  26. Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process SupervisionLLM reasoning → Reinforcement learning for reasoning +1
  27. SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering AgentsLLM agents and tool use → Software engineering coding agents
  28. What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment
  29. ReaMOT: A Benchmark and Framework for Reasoning-based Multi-Object TrackingLLM reasoning → Multimodal reasoning
  30. Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized DocumentsRetrieval-augmented generation → Legal and financial RAG
  31. DiffNMR: Advancing Inpainting of Randomly Sampled Nuclear Magnetic Resonance SignalsDiffusion models → Flow matching, time series and science
  32. VSCBench: Bridging the Gap in Vision-Language Model Safety CalibrationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
  33. Risk-aware Direct Preference Optimization under Nested Risk MeasureLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  34. Rethinking Text-based Protein Understanding: Retrieval or LLM?LLM reasoning → Clinical and biomedical applications
  35. FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear ApproximationDiffusion models → Diffusion foundations and sampling
  36. Decision Flow Policy OptimizationOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
  37. DiSA: Diffusion Step Annealing in Autoregressive Image GenerationDiffusion models → Diffusion foundations and sampling
  38. Reasoning LLMs are Wandering Solution ExplorersLLM reasoning → Reasoning benchmarks and evaluation
  39. VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool SelectionDeep reinforcement learning methods → RL training of language and agent models
  40. Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-EvolutionLLM reasoning → Reasoning for agents, planning and code +1
  41. MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search CapabilityRetrieval-augmented generation → Agentic RAG, agents and memory +1
  42. VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D ReconstructionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  43. OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality InteractionLLM agents and tool use → Social simulation and multi-agent debate
  44. ImgEdit: A Unified Image Editing Dataset and BenchmarkMultimodal LLMs / vision-language models → Image editing and quality assessment
  45. Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement LearningLLM reasoning → Multimodal reasoning +1
  46. In-Context Brush: Zero-shot Customized Subject Insertion with Context-Aware Latent Space ManipulationDiffusion models → 3D, point cloud and scene generation
  47. Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental LimitsDeep reinforcement learning methods → RL theory and sample complexity
  48. syftr: Pareto-Optimal Generative AIRetrieval-augmented generation → RAG pipeline design and evaluation +1
  49. Lifelong Safety Alignment for Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  50. ARM: Adaptive Reasoning ModelLLM reasoning → Reinforcement learning for reasoning
  51. AniCrafter: Customizing Realistic Human-Centric Animation via Avatar-Background Conditioning in Video Diffusion ModelsDiffusion models → Video generation
  52. Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEsMechanistic interpretability → Sparse autoencoder training and evaluation
  53. On Path to Multimodal Historical Reasoning: HistBench and HistAgentLLM reasoning → Multimodal reasoning
  54. KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG +1
  55. DreamPRM: Domain-Reweighted Process Reward Model for Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
  56. Efficient Speech Translation through Model Compression and Knowledge DistillationKnowledge distillation → Speech and audio distillation
  57. Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  58. MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM AgentsRetrieval-augmented generation → Conversational and speech RAG +1
  59. From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic RelianceMechanistic interpretability → Interpreting vision and multimodal models
  60. FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language ModelsMixture-of-experts → MoE large language models
  61. Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future ProspectsLLM reasoning → Chain-of-thought reasoning for driving +1
  62. Gradient Flow Matching for Learning Update Dynamics in Neural Network TrainingDiffusion models → Flow matching, time series and science
  63. When Slower Isn't Truer: Inverse Scaling Law of Truthfulness in Multimodal ReasoningLLM reasoning → Multimodal reasoning
  64. Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health ConversationsLLM reasoning → Clinical and biomedical applications
  65. Adaptive Classifier-Free Guidance via Dynamic Low-Confidence MaskingDiffusion models → Diffusion foundations and sampling
  66. Temporal Sampling for Forgotten Reasoning in LLMsLLM reasoning → Test-time compute and efficient thinking
  67. FunReason: Enhancing Large Language Models' Function Calling via Self-Refinement Multiscale Loss and Automated Data RefinementLLM reasoning → Test-time compute and efficient thinking +1
  68. THiNK: Can Large Language Models Think-aloud?LLM reasoning → Reasoning benchmarks and evaluation
  69. URPlanner: A Universal Paradigm For Collision-Free Robotic Motion Planning Based on Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  70. Long-Context State-Space Video World ModelsWorld models → Video-generation world models and simulators +1
  71. Program of Equations Thoughts to Solve Algebra Word ProblemsLLM reasoning → Mathematical reasoning
  72. From Alignment to Advancement: Bootstrapping Audio-Language Alignment with Synthetic DataSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
  73. Thinking with Visual Abstract: Enhancing Multimodal Reasoning via Visual AbstractionLLM reasoning → Multimodal reasoning
  74. Capability-Based Scaling Trends for LLM-Based Red-TeamingLLM safety and security → Prompt injection and agent security
  75. Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  76. MMGeoLM: Hard Negative Contrastive Learning for Fine-Grained Geometric Understanding in Large Multimodal ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  77. MineAnyBuild: Benchmarking Spatial Planning for Open-world AI AgentsLLM agents and tool use → Reinforcement learning for LLM agents
  78. FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal VelocitiesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  79. MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement LearningDiffusion models → Flow matching, time series and science +1
  80. Agentic 3D Scene Generation with Spatially Contextualized VLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  81. Iterative Self-Incentivization Empowers Large Language Models as Agentic SearchersLLM agents and tool use → Web, search, and research agents
  82. Agentic AI Process Observability: Discovering Behavioral VariabilityLLM agents and tool use → Software engineering coding agents
  83. Understanding Generalization in Diffusion Distillation via Probability Flow DistanceDiffusion models → Diffusion foundations and sampling
  84. MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  85. Refining Few-Step Text-to-Multiview Diffusion via Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  86. Adaptive Deep Reasoning: Triggering Deep Thinking When NeededLLM reasoning → Test-time compute and efficient thinking
  87. AdaTP: Attention-Debiased Token Pruning for Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
  88. MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +2
  89. Multi-Domain Explainability of PreferencesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  90. Safety Through Reasoning: An Empirical Study of Reasoning Guardrail ModelsLLM reasoning → Reasoning for agents, planning and code +1
  91. Inference-time Alignment in Continuous SpaceLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  92. Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  93. An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph AttacksLLM safety and security → Membership inference attacks
  94. Incentivizing Strong Reasoning from Weak SupervisionLLM reasoning → Test-time compute and efficient thinking
  95. SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced SafetyLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
  96. SAEs Are Good for Steering -- If You Select the Right FeaturesMechanistic interpretability → SAE features and their applications
  97. PAMD: Plausibility-Aware Motion Diffusion Model for Long Dance GenerationDiffusion models → Audio, speech and music
  98. Multimodal LLM-Guided Semantic Correction in Text-to-Image DiffusionMultimodal LLMs / vision-language models → Image editing and quality assessment +1
  99. Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning TasksLLM reasoning → Test-time compute and efficient thinking
  100. REARANK: Reasoning Re-ranking Agent via Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning +1
All 651
  1. ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +3
  2. Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial MaskingLLM agents and tool use → General LLM agent frameworks and benchmarks
  3. Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language ModelsLLM reasoning → Multimodal reasoning +1
  4. TTPA: Token-level Tool-use Preference Alignment Training Framework with Fine-grained EvaluationLLM agents and tool use → Tool learning and function calling +1
  5. Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning DistillationLLM reasoning → Clinical and biomedical applications +1
  6. WebCoT: Enhancing Web Agent Reasoning by Reconstructing Chain-of-Thought in Reflection, Branching, and RollbackLLM reasoning → Reasoning for agents, planning and code +1
  7. NEXT: Multi-Grained Mixture of Experts via Text-Modulation for Multi-Modal Object Re-IdentificationMixture-of-experts → Multimodal MoE models
  8. Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based AgentsLLM agents and tool use → Educational agents and math problem solving
  9. How Well Do Large Reasoning Models Translate? A Comprehensive Evaluation for Multi-Domain Machine TranslationLLM reasoning → Reasoning benchmarks and evaluation
  10. Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic ApproachDeep reinforcement learning methods → RL theory and sample complexity
  11. ICDM: Interference Cancellation Diffusion Models for Wireless Semantic CommunicationsDiffusion models → Diffusion for compression and wireless
  12. CP-Router: An Uncertainty-Aware Router Between LLM and LRMLLM reasoning → Test-time compute and efficient thinking
  13. The Limits of Preference Data for Post-TrainingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  14. UltraVSR: Achieving Ultra-Realistic Video Super-Resolution with Efficient One-Step Diffusion SpaceDiffusion models → Inverse problems and image restoration
  15. MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning ResearchLLM agents and tool use → Web, search, and research agents
  16. An Explainable Diagnostic Framework for Neurodegenerative Dementias via Reinforcement-Optimized LLM ReasoningLLM reasoning → Clinical and biomedical applications
  17. Multimodal Reasoning Agent for Zero-Shot Composed Image RetrievalLLM reasoning → Multimodal reasoning
  18. Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence FunctionsLLM reasoning → Mathematical reasoning
  19. Inverse Q-Learning Done Right: Offline Imitation Learning in Qπ-Realizable MDPsOffline RL and imitation learning from data → Imitation learning methods +1
  20. Uncertainty-Aware Safety-Critical Decision and Control for Autonomous Vehicles at Unsignalized IntersectionsEnd-to-end autonomous driving → Reinforcement learning for driving +1
  21. Accelerating Flow-Matching-Based Text-to-Speech via Empirically Pruned Step SamplingDiffusion models → Audio, speech and music
  22. TCP: a Benchmark for Temporal Constraint-Based PlanningLLM reasoning → Reasoning for agents, planning and code
  23. Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RLOffline RL and imitation learning from data → Offline RL algorithms
  24. Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable PuzzlesLLM reasoning → Reasoning benchmarks and evaluation
  25. Attention! Your Vision Language Model Could Be Maliciously ManipulatedMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  26. EMAC+: Embodied Multimodal Agent for Collaborative Planning with VLM+LLMLLM agents and tool use → Multimodal and embodied agents
  27. Dynamic-I2V: Exploring Image-to-Video Generation Models via Multimodal LLMMultimodal LLMs / vision-language models → Video understanding with MLLMs
  28. ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific WorkflowsLLM agents and tool use → Web, search, and research agents
  29. OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model MergingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  30. Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-ThoughtLLM reasoning → Chain-of-thought reasoning for driving +1
  31. Deep Active Inference Agents for Delayed and Long-Horizon EnvironmentsWorld models → World models for language agents +1
  32. HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget ReallocationLLM reasoning → Test-time compute and efficient thinking
  33. CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language ModelsRetrieval-augmented generation → Privacy and security of RAG
  34. REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient ReasoningLLM reasoning → Reinforcement learning for reasoning
  35. Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?LLM safety and security → Machine unlearning
  36. DISCOVER: Automated Curricula for Sparse-Reward Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  37. Improving Multilingual Math Reasoning for African LanguagesLLM reasoning → Mathematical reasoning
  38. DGRAG: Distributed Graph-based Retrieval-Augmented Generation in Edge-Cloud SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
  39. Deciphering Trajectory-Aided LLM Reasoning: An Optimization PerspectiveLLM reasoning → Test-time compute and efficient thinking
  40. Efficient Multi-modal Long Context Learning for Training-free AdaptationMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  41. What Can RL Bring to VLA Generalization? An Empirical StudyVision-language-action models → Reinforcement learning and post-training
  42. Done Is Better than Perfect: Unlocking Efficient Reasoning by Structured Multi-Turn DecompositionLLM reasoning → Test-time compute and efficient thinking
  43. medDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision SupportDeep reinforcement learning methods → RL for clinical treatment and surgery
  44. What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMsLLM safety and security → Jailbreaking
  45. Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPOLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  46. TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  47. RFTF: Reinforcement Fine-tuning for Embodied Agents with Temporal FeedbackVision-language-action models → Reinforcement learning and post-training
  48. PAM: Training Policy-Aligned Moderation Filters at ScaleLLM safety and security → Safety alignment, refusal and guardrails
  49. Multi-View Encoders for Performance Prediction in LLM-Based Agentic WorkflowsLLM agents and tool use → Software engineering coding agents
  50. Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +2
  51. Efficient Reasoning via Chain of Unconscious ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
  52. Discrete Markov BridgeDiffusion models → Diffusion foundations and sampling
  53. SAIL: Self-supervised Albedo Estimation from Real Images with a Latent Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  54. Token-level Accept or Reject: A Micro Alignment Approach for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  55. Proximal Point Nash Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  56. Extremum Flow Matching for Offline Goal Conditioned Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  57. Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware PromptingLLM reasoning → Prompting and chain-of-thought reasoning
  58. On the Relation between Rectified Flows and Optimal TransportDiffusion models → Flow matching, time series and science
  59. Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical SupervisionLLM reasoning → Reinforcement learning for reasoning +1
  60. Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement FinetuningLLM reasoning → Multimodal reasoning
  61. Leveraging Importance Sampling to Detach Alignment Modules from Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  62. Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed EnvironmentsMixture-of-experts → Federated mixture-of-experts +1
  63. Performance Asymmetry in Model-Based Reinforcement LearningWorld models → Latent dynamics models and model-based RL +1
  64. Modeling Beyond MOS: Quality Assessment Models Must Integrate Context, Reasoning, and MultimodalityLLM reasoning → Multimodal reasoning
  65. Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code
  66. Graph Guided Diffusion: Unified Guidance for Conditional Graph GenerationDiffusion models → Flow matching, time series and science
  67. VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +2
  68. Large Language Models for Planning: A Comprehensive and Systematic SurveyLLM reasoning → Reasoning for agents, planning and code
  69. Deep Actor-Critics with Tight Risk CertificatesDeep reinforcement learning methods → RL theory and sample complexity
  70. Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  71. Large Language Models' Reasoning Stalls: An Investigation into the Capabilities of Frontier ModelsLLM reasoning → Reasoning benchmarks and evaluation
  72. FieldWorkArena: Agentic AI Benchmark for Real Field Work TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
  73. Large Language Models in Code Co-generation for Safe Autonomous VehiclesEnd-to-end autonomous driving → Large language models for driving
  74. ReDDiT: Rehashing Noise for Discrete Visual GenerationDiffusion models → Diffusion foundations and sampling
  75. Token-Importance Guided Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  76. MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoEMixture-of-experts → Efficient MoE training and inference systems +1
  77. SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and BeyondLLM reasoning → Reinforcement learning for reasoning
  78. Interleaved Reasoning for Large Language Models via Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking
  79. Faster and Better LLMs via Latency-Aware Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
  80. Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement LearningLLM agents and tool use → Medical and scientific domain agents
  81. Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChatMultimodal LLMs / vision-language models → Medical vision-language models
  82. AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender SystemsLLM reasoning → LLM reasoning for recommendation +1
  83. Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  84. Diagnosing and Mitigating Modality Interference in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  85. JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  86. Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache CompressionEfficient LLM inference and serving → Fast autoregressive visual generation
  87. Preference Optimization by Estimating the Ratio of the Data DistributionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  88. Accelerating Diffusion-based Text-to-Speech Model Training with Dual Modality AlignmentDiffusion models → Audio, speech and music
  89. Multi-Agent Collaboration via Evolving OrchestrationLLM agents and tool use → General LLM agent frameworks and benchmarks
  90. Learning to Reason without External RewardsLLM reasoning → Reinforcement learning for reasoning
  91. TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache OptimizationEfficient LLM inference and serving → KV cache optimization
  92. LLM-Agent-Controller: A Universal Multi-Agent Large Language Model System as a Control EngineerLLM agents and tool use → General LLM agent frameworks and benchmarks
  93. TabularMath: Understanding Math Reasoning over Tables with Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  94. On scalable and efficient training of diffusion samplersDiffusion models → Diffusion foundations and sampling
  95. From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational AgentsLLM agents and tool use → Agent memory systems
  96. STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution GeneralizationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  97. Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective ApproachDiffusion models → Diffusion recommenders
  98. DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual GradientsRetrieval-augmented generation → Medical and biomedical RAG
  99. FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
  100. Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
  101. Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided GateMixture-of-experts → MoE theory and gating functions
  102. Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional DriftDiffusion models → Image generation, text-to-image and editing
  103. DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised PolicyEnd-to-end autonomous driving → End-to-end system architecture
  104. SIPDO: Closed-Loop Prompt Optimization via Synthetic Data FeedbackSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  105. Causal Distillation: Transferring Structured Explanations from Large to Compact Language ModelsLLM reasoning → Causal reasoning in LLMs
  106. Benchmarking Multimodal Knowledge Conflict for Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  107. Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language ModelLLM reasoning → LLM reasoning for recommendation
  108. DOGe: Defensive Output Generation for LLM Protection Against Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
  109. Locality-Aware Zero-Shot Human-Object Interaction DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  110. CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code EvaluationLLM reasoning → Reasoning for agents, planning and code
  111. Toward Scientific Reasoning in LLMs: Training from Expert Discussions via Reinforcement LearningLLM reasoning → Clinical and biomedical applications
  112. Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  113. Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel FaultsLLM agents and tool use → Software engineering coding agents
  114. VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning ArchitectureLLM reasoning → Chain-of-thought reasoning for driving
  115. CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data SynthesisSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
  116. Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMsLLM agents and tool use → Reinforcement learning for LLM agents
  117. Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplifications and Resistance in Multi-Agent Based LLM-as-JudgeLLM agents and tool use → Social simulation and multi-agent debate
  118. FlowSE: Efficient and High-Quality Speech Enhancement via Flow MatchingDiffusion models → Audio, speech and music
  119. Continuous Self-Improvement of Large Language Models by Test-time Training with Verifier-Driven Sample SelectionSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
  120. Causal-LLaVA: Causal Disentanglement for Mitigating Hallucination in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  121. Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive MemoryDiffusion models → Diffusion foundations and sampling
  122. Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AILLM agents and tool use → Software engineering coding agents
  123. The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
  124. Surrogate Signals from Format and Length: Reinforcement Learning for Solving Mathematical Problems without Ground Truth AnswersDeep reinforcement learning methods → RL training of language and agent models
  125. Task Memory Engine: Spatial Memory for Robust Multi-Step LLM AgentsLLM agents and tool use → Agent memory systems
  126. Route to Reason: Adaptive Routing for LLM and Reasoning Strategy SelectionLLM reasoning → Test-time compute and efficient thinking
  127. Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM CompressionLLM agents and tool use → Agent memory systems
  128. Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode CoverageDiffusion models → Diffusion foundations and sampling
  129. Frictional Agent Alignment Framework: Slow Down and Don't Break ThingsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
  130. WINA: Weight Informed Neuron Activation for Accelerating Large Language Model InferenceMixture-of-experts → MoE large language models
  131. Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query PerturbationDiffusion models → Robustness, privacy and adversarial aspects
  132. Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural NetworkDeep reinforcement learning methods → RL for games and combinatorial optimization
  133. Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  134. Unveiling the Compositional Ability Gap in Vision-Language Reasoning ModelLLM reasoning → Multimodal reasoning +1
  135. CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM SystemsLLM reasoning → Prompting and chain-of-thought reasoning +1
  136. Alignment of large language models with constrained learningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  137. Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control SignalsWorld models → Latent predictive world models
  138. CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  139. DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
  140. DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  141. Does AI and Human Advice Mitigate Punishment for Selfish Behavior? An Experiment on AI ethics From a Psychological Perspective
  142. Semantic-Preserving Prompt Hijacking: A Black-Box Adversarial Attack on Auto-Prompt Optimization
  143. BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models
  144. Cellular Traffic Prediction via Deep State Space Models with Attention Mechanism
  145. Predicting Onflow Parameters Using Transfer Learning for Domain and Task Adaptation
  146. ETS: Open Vocabulary Electroencephalography-To-Text Decoding and Sentiment Classification
  147. Refactoring Codebases through Library Design
  148. An Open-Source Python Framework and Synthetic ECG Image Datasets for Digitization, Lead and Lead Name Detection, and Overlapping Signal Segmentation
  149. Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering
  150. Shape-Aware Topological Representation for Pipeline Hyperbola Detection in GPR Data
  151. Enhancing Contrastive Learning-based Electrocardiogram Pretrained Model with Patient Memory Queue
  152. Leveraging Novel Ensemble Learning Techniques and Landsat Multispectral Data for Estimating Olive Yields in Tunisia
  153. What does making money have to do with crime?: A dive into the National Crime Victimization survey
  154. A Review on Influx of Bio-Inspired Algorithms: Critique and Improvement Needs
  155. Modality Equilibrium Matters: Minor-Modality-Aware Adaptive Alternating for Cross-Modal Memory Enhancement
  156. MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
  157. SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks
  158. Estimating LLM Consistency: A User Baseline vs Surrogate Metrics
  159. Detection of Suicidal Risk on Social Media: A Hybrid Model
  160. Emergent LLM behaviors are observationally equivalent to data leakage
  161. Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things
  162. Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework
  163. A Novel Convolutional Neural Network-Based Framework for Complex Multiclass Brassica Seed Classification
  164. Analytical Calculation of Weights Convolutional Neural Network
  165. MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction
  166. Understanding the learned look-ahead behavior of chess neural networks
  167. Effectiveness of Prompt Optimization in NL2SQL Systems
  168. Prot2Token: A Unified Framework for Protein Modeling via Next-Token Prediction
  169. Balancing Performance and Costs in Best Arm Identification
  170. Total-Editing: Head Avatar with Editable Appearance, Motion, and Lighting
  171. The challenge of hidden gifts in multi-agent reinforcement learning
  172. Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
  173. Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners
  174. Emotion Classification In-Context in Spanish
  175. The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages
  176. Bi-Level Unsupervised Feature Selection
  177. A ZeNN architecture to avoid the Gaussian trap
  178. Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline
  179. Causality and "In-the-Wild" Video-Based Person Re-ID: A Survey
  180. AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy
  181. Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
  182. Rotary Masked Autoencoders are Versatile Learners
  183. Federated Independent Component Analysis via Spectral Alignment and Robust Aggregation
  184. Training Articulatory Inversion Models for Interspeaker Consistency
  185. MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance
  186. Towards Fully FP8 GEMM LLM Training at Scale
  187. Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints
  188. MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning
  189. A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models
  190. Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects
  191. CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic
  192. Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset
  193. ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis
  194. Large Language Models for IT Automation Tasks: Are We There Yet?
  195. Gatsby Without the 'E': Crafting Lipograms with LLMs
  196. Beyond Keywords: Evaluating Large Language Model Classification of Nuanced Ableism
  197. ControlTac: Scaling Tactile Data with Physically Controlled Tactile Image Generation
  198. Inceptive Transformers: Enhancing Contextual Representations through Multi-Scale Feature Learning Across Domains and Languages
  199. InFact: Informativeness Alignment for Improved LLM Factuality
  200. Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data
  201. Conversation Kernels: A Flexible Mechanism to Learn Relevant Context for Online Conversation Understanding
  202. CardioPatternFormer: Pattern-Guided Attention for Interpretable ECG Classification with Transformer Architecture
  203. BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics
  204. Stochastic Preconditioning for Neural Field Optimization
  205. WeatherEdit: Controllable Weather Editing with 4D Gaussian Field
  206. Reconceptualizing Smart Microscopy: From Data Collection to Knowledge Creation by Multi-Agent Integration
  207. Learning with Expected Signatures: Theory and Applications
  208. The Impact of a Chatbot's Ephemerality-Framing on Self-Disclosure Perceptions
  209. DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data
  210. Federated Learning-Distillation Alternation for Resource-Constrained IoT
  211. BlastOFormer: Attention and Neural Operator Deep Learning Methods for Explosive Blast Prediction
  212. Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes
  213. Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries
  214. Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
  215. In-context Language Learning for Endangered Languages in Speech Recognition
  216. Kernel Quantile Embeddings and Associated Probability Metrics
  217. ART-DECO: Arbitrary Text Guidance for 3D Detailizer Construction
  218. PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy
  219. The UD-NewsCrawl Treebank: Reflections and Challenges from a Large-scale Tagalog Syntactic Annotation Project
  220. Robot Operation of Home Appliances by Reading User Manuals
  221. Vision-Based Risk Aware Emergency Landing for UAVs in Complex Urban Environments
  222. SEMMA: A Semantic Aware Knowledge Graph Foundation Model
  223. RetroMotion: Retrocausal Motion Forecasting Models are Instructable
  224. GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining
  225. Algorithmic Control Improves Residential Building Energy and EV Management when PV Capacity is High but Battery Capacity is Low
  226. Learning mechanical systems from real-world data using discrete forced Lagrangian dynamics
  227. Solving Euler equations with Multiple Discontinuities via Separation-Transfer Physics-Informed Neural Networks
  228. Learning and Interpreting Gravitational-Wave Features from CNNs with a Random Forest Approach
  229. LEGO-Compiler: Enhancing Neural Compilation Through Translation Composability
  230. GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
  231. Differentially private ratio statistics
  232. MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding
  233. SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
  234. GLEAM: Learning Generalizable Exploration Policy for Active Mapping in Complex 3D Indoor Scenes
  235. Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery
  236. OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
  237. VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval
  238. EgoZero: Robot Learning from Smart Glasses
  239. Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots
  240. MotionPro: A Precise Motion Controller for Image-to-Video Generation
  241. Category-Agnostic Neural Object Rigging
  242. One-shot Entropy Minimization
  243. Lorentz Local Canonicalization: How to Make Any Network Lorentz-Equivariant
  244. Characterizing Pattern Matching and Its Limits on Compositional Task Structures
  245. Does quantization affect models' performance on long-context tasks?
  246. Probabilistic Kernel Function for Fast Angle Testing
  247. Ten Principles of AI Agent Economics
  248. ParticleGS: Learning Neural Gaussian Particle Dynamics from Videos for Prior-free Physical Motion Extrapolation
  249. Comparing Neural Network Encodings for Logic-based Explainability
  250. HaloGS: Loose Coupling of Compact Geometry and Gaussian Splats for 3D Scenes
  251. We Need to Measure Data Diversity in NLP -- Better and Broader
  252. Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
  253. Learning Extrapolative Sequence Transformations from Markov Chains
  254. Efficient Optimization Accelerator Framework for Multistate Ising Problems
  255. WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models
  256. It's High Time: A Survey of Temporal Question Answering
  257. RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models
  258. Variational Deep Learning via Implicit Regularization
  259. Multimodal Federated Learning With Missing Modalities through Feature Imputation Network
  260. New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
  261. Fine-grained List-wise Alignment for Generative Medication Recommendation
  262. Dependency Parsing is More Parameter-Efficient with Normalization
  263. PiCa: Parameter-Efficient Fine-Tuning with Column Space Projection
  264. Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection
  265. Evaluating Large Language Models for Code Review
  266. Shutdownable Agents through POST-Agency
  267. PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
  268. Monocle: Hybrid Local-Global In-Context Evaluation for Long-Text Generation with Uncertainty-Based Active Learning
  269. A Text-Based Recommender System that Leverages Explicit Affective State Preferences
  270. Private Geometric Median in Nearly-Linear Time
  271. Research on feature fusion and multimodal patent text based on graph attention network
  272. An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation
  273. The Problem of Algorithmic Collisions: Mitigating Unforeseen Risks in a Connected World
  274. No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
  275. The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
  276. "KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding
  277. A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation
  278. Exploring Generative Error Correction for Dysarthric Speech Recognition
  279. HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters
  280. Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs
  281. UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models
  282. On the (Non) Injectivity of Piecewise Linear Janossy Pooling
  283. Improvement Strategies for Few-Shot Learning in OCT Image Classification of Rare Retinal Diseases
  284. SeMe: Training-Free Language Model Merging via Semantic Alignment
  285. Grounding Functional Similarity by Invariance-Aware Model Stitching
  286. StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs
  287. ePC: Fast and Deep Predictive Coding in Digital Simulation
  288. Data-Distill-Net: A Data Distillation Approach Tailored for Reply-based Continual Learning
  289. Token Distillation: Attention-aware Input Embeddings For New Tokens
  290. Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks
  291. Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach
  292. OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender
  293. TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos
  294. Agents Require Metacognitive and Strategic Reasoning to Succeed in the Coming Labor Markets
  295. Spatiotemporal Causal Decoupling Model for Air Quality Forecasting
  296. TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
  297. Named Entity Recognition in Historical Italian: The Case of Giacomo Leopardi's Zibaldone
  298. ERC-SVD: Error-Controlled SVD for Large Language Model Compression
  299. Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
  300. Language-Agnostic Suicidal Risk Detection Using Large Language Models
  301. From Data to Modeling: Fully Open-vocabulary Scene Graph Generation
  302. SCIRGC: Multi-Granularity Citation Recommendation and Citation Sentence Preference Alignment
  303. Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
  304. Transformers in Protein: A Survey
  305. S2LPP: Small-to-Large Prompt Prediction across LLMs
  306. Spurious Privacy Leakage in Neural Networks
  307. SwarmThinkers: Learning Physically Consistent Atomic KMC Transitions at Scale
  308. Homophily Enhanced Graph Domain Adaptation
  309. Explanation User Interfaces: A Systematic Literature Review
  310. A fast sound power prediction tool for genset noise using machine learning
  311. ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior
  312. On the Same Page: Dimensions of Perceived Shared Understanding in Human-AI Interaction
  313. Community Moderation and the New Epistemology of Fact Checking on Social Media
  314. Automated data curation for self-supervised learning in underwater acoustic analysis
  315. M3DHMR: Monocular 3D Hand Mesh Recovery
  316. Ankh3: Multi-Task Pretraining with Sequence Denoising and Completion Enhances Protein Representations
  317. Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits
  318. MVP: Multi-source Voice Pathology detection
  319. Data-Free Class-Incremental Gesture Recognition with Prototype-Guided Pseudo Feature Replay
  320. Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks
  321. Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads
  322. DepthMatch: Semi-Supervised RGB-D Scene Parsing through Depth-Guided Regularization
  323. Towards Video to Piano Music Generation with Chain-of-Perform Support Benchmarks
  324. Beyond Simple Concatenation: Fairly Assessing PLM Architectures for Multi-Chain Protein-Protein Interactions Prediction
  325. Graph Wave Networks
  326. EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition
  327. ViTaPEs: Visuotactile Position Encodings for Cross-Modal Alignment in Multimodal Transformers
  328. Multiple Descents in Deep Learning as a Sequence of Order-Chaos Transitions in LSTM Networks
  329. Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
  330. Multi-modal brain encoding models for multi-modal stimuli
  331. Gradient Inversion Transcript: Leveraging Robust Generative Priors to Reconstruct Training Data from Gradient Leakage
  332. Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare
  333. Linear Bandits with Non-i.i.d. Noise
  334. On the class of coding optimality of human languages and the origins of Zipf's law
  335. The Many Challenges of Human-Like Agents in Virtual Game Environments
  336. Data-Dependent Regret Bounds for Constrained MABs
  337. Mixture of LoRA Experts for Low-Resourced Multi-Accent Automatic Speech Recognition
  338. TabPFN: One Model to Rule Them All?
  339. Learning Optimal Multimodal Information Bottleneck Representations
  340. Optimizing edge AI models on HPC systems with the edge in the loop
  341. Progressive Scaling Visual Object Tracking
  342. Structured Initialization for Vision Transformers
  343. Rethinking Probabilistic Circuit Parameter Learning
  344. DeepDialogue: A Multi-Turn Emotionally-Rich Spoken Dialogue Dataset
  345. DFIR-Metric: A Benchmark Dataset for Evaluating Large Language Models in Digital Forensics and Incident Response
  346. PHI: Bridging Domain Shift in Long-Term Action Quality Assessment via Progressive Hierarchical Instruction
  347. Conversational Lexicography: Querying Lexicographic Data on Knowledge Graphs with SPARQL through Natural Language
  348. Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
  349. Learning to Select In-Context Demonstration Preferred by Large Language Model
  350. Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction
  351. MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models
  352. DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph
  353. Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy
  354. SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection
  355. MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
  356. Can Visual Encoder Learn to See Arrows?
  357. Sparse Tuning Enhances Plasticity in PTM-based Continual Learning
  358. Task-Oriented Low-Label Semantic Communication With Self-Supervised Learning
  359. Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning
  360. ALAS: An Automatic Latent Alignment Score for Audio Language Models
  361. Subtle Risks, Critical Failures: A Framework for Diagnosing Physical Safety of LLMs for Embodied Decision Making
  362. Logic Gate Neural Networks are Good for Verification
  363. CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge
  364. Cellwise and Casewise Robust Covariance in High Dimensions
  365. A Responsible Face Recognition Approach for Small and Mid-Scale Systems Through Personalized Neural Networks
  366. Weather-Magician: Reconstruction and Rendering Framework for 4D Weather Synthesis In Real Time
  367. Evaluating AI cyber capabilities with crowdsourced elicitation
  368. APE: Selective Fine-tuning with Acceptance Criteria for Language Model Adaptation
  369. Large Language Models as Autonomous Spacecraft Operators in Kerbal Space Program
  370. Underwater Diffusion Attention Network with Contrastive Language-Image Joint Learning for Underwater Image Enhancement
  371. ESLM: Risk-Averse Selective Language Modeling for Efficient Pretraining
  372. OmniFall: From Staged Through Synthetic to Wild, A Unified Multi-Domain Dataset for Robust Fall Detection
  373. Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations
  374. Deconstructing Obfuscation: A four-dimensional framework for evaluating Large Language Models assembly code deobfuscation capabilities
  375. ErpGS: Equirectangular Image Rendering enhanced with 3D Gaussian Regularization
  376. StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation
  377. Deep Spectral Prior
  378. Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling
  379. FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields
  380. A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking
  381. Sparse2DGS: Sparse-View Surface Reconstruction using 2D Gaussian Splatting with Dense Point Cloud
  382. Two Causally Related Needles in a Video Haystack
  383. Beyond Specialization: Benchmarking LLMs for Transliteration of Indian Languages
  384. Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation
  385. PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints
  386. Efficient Deconvolution in Populational Inverse Problems
  387. One Surrogate to Fool Them All: Universal, Transferable, and Targeted Adversarial Attacks with CLIP
  388. FoodTaxo: Generating Food Taxonomies with Large Language Models
  389. Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications
  390. Revisiting Glorot Initialization for Long-Range Linear Recurrences
  391. Position: Foundation Models for Tabular Data within Systemic Contexts Need Grounding
  392. LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments
  393. Poison in the Well: Feature Embedding Disruption in Backdoor Attacks
  394. InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory
  395. FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets
  396. GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
  397. Representation Learning for Equivariant Inference with Guarantees
  398. Density Ratio-Free Doubly Robust Proxy Causal Learning
  399. Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks
  400. Translation-Equivariance of Normalization Layers and Aliasing in Convolutional Neural Networks
  401. Compliance-to-Code: Enhancing Financial Compliance Checking via Code Generation
  402. GraphAU-Pain: Graph-based Action Unit Representation for Pain Intensity Estimation
  403. MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs
  404. A Regularization-Guided Equivariant Approach for Image Restoration
  405. The Avengers: A Simple Recipe for Uniting Smaller Language Models to Challenge Proprietary Giants
  406. The Missing Point in Vision Transformers for Universal Image Segmentation
  407. Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction
  408. Types of Relations: Defining Analogies with Category Theory
  409. Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models
  410. Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification
  411. T^2Agent A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search
  412. AlphaFold's Bayesian Roots in Probability Kinematics
  413. Language Models as Messengers: Enhancing Message Passing in Heterophilic Graph Learning
  414. CIDRe: A Reference-Free Multi-Aspect Criterion for Code Comment Quality Measurement
  415. NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering
  416. SuperAD: A Training-free Anomaly Classification and Segmentation Method for CVPR 2025 VAND 3.0 Workshop Challenge Track 1: Adapt & Detect
  417. Improving Heart Rejection Detection in XPCI Images Using Synthetic Data Augmentation
  418. HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance
  419. Minimax Adaptive Online Nonparametric Regression over Besov Spaces
  420. Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data
  421. Weighted Leave-One-Out Cross Validation
  422. ReChisel: Effective Automatic Chisel Code Generation by LLM with Reflection
  423. Cross-Sequence Semi-Supervised Learning for Multi-Parametric MRI-Based Visual Pathway Delineation
  424. Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking
  425. A Structured Tour of Optimization with Finite Differences
  426. OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
  427. Graceful Forgetting in Generative Language Models
  428. MT3: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning
  429. MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval
  430. Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition
  431. EmoSphere-SER: Enhancing Speech Emotion Recognition Through Spherical Representation with Auxiliary Classification
  432. DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving
  433. DiEmo-TTS: Disentangled Emotion Representations via Self-Supervised Distillation for Cross-Speaker Emotion Transfer in Text-to-Speech
  434. Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning
  435. KIT's Low-resource Speech Translation Systems for IWSLT2025: System Enhancement with Synthetic Data and Model Regularization
  436. Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement
  437. Comparing Moral Values in Western English-speaking societies and LLMs with Word Associations
  438. Automated evaluation of children's speech fluency for low-resource languages
  439. Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models
  440. Zero-Shot Streaming Text to Speech Synthesis with Transducer and Auto-Regressive Modeling
  441. Burst Image Super-Resolution via Multi-Cross Attention Encoding and Multi-Scan State-Space Decoding
  442. LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation
  443. A Comprehensive Real-World Assessment of Audio Watermarking Algorithms: Will They Survive Neural Codecs?
  444. Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation
  445. LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation
  446. Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval
  447. Model Enumeration of Two-Variable Logic with Quadratic Delay Complexity
  448. Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation
  449. Energy-based generator matching: A neural sampler for general state space
  450. STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution
  451. HF-VTON: High-Fidelity Virtual Try-On via Consistent Geometric and Semantic Alignment
  452. When fractional quasi p-norms concentrate
  453. Segment First or Comprehend First? Explore the Limit of Unsupervised Word Segmentation with Large Language Models
  454. HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple Devices
  455. Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap
  456. Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive Hypergraphs
  457. SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows
  458. Rotation-Equivariant Self-Supervised Method in Image Denoising
  459. Multiplicity is an Inevitable and Inherent Challenge in Multimodal Learning
  460. TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization
  461. Align and Surpass Human Camouflaged Perception: Visual Refocus Reinforcement Fine-Tuning
  462. Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling
  463. Contrastive Residual Energy Test-time Adaptation
  464. Languages in Whisper-Style Speech Encoders Align Both Phonetically and Semantically
  465. Kuramoto-FedAvg: Using Synchronization Dynamics to Improve Federated Learning Optimization under Statistical Heterogeneity
  466. Evaluating Machine Translation Models for English-Hindi Language Pairs: A Comparative Analysis
  467. Spatially-Adaptive Gradient Re-parameterization for 3D Large Kernel Optimization
  468. Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar
  469. Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study
  470. Model Agnostic Differentially Private Causal Inference
  471. LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval
  472. WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts
  473. CARE: Confidence-aware Ratio Estimation for Medical Biomarkers
  474. Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes
  475. Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing
  476. Situationally-Aware Dynamics Learning
  477. DocMEdit: Towards Document-Level Model Editing
  478. VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Models
  479. What You Perceive Is What You Conceive: A Cognition-Inspired Framework for Open Vocabulary Image Segmentation
  480. MSD-LLM: Predicting Ship Detention in Port State Control Inspections with Large Language Model
  481. Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition
  482. K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers
  483. FairMedQA: Benchmarking Bias in Large Language Models for Medical Question Answering
  484. Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams
  485. PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
  486. Aggregated Structural Representation with Large Language Models for Human-Centric Layout Generation
  487. Turing Test 2.0: The General Intelligence Threshold
  488. How Syntax Specialization Emerges in Language Models
  489. SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
  490. Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating
  491. Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
  492. TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs
  493. Training-Free Multi-Step Audio Source Separation
  494. ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models
  495. Minimalist Softmax Attention Provably Learns Constrained Boolean Functions
  496. Small Language Models: Architectures, Techniques, Evaluation, Problems and Future Adaptation
  497. AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection
  498. Rolling Ball Optimizer: Learning by ironing out loss landscape wrinkles
  499. Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning
  500. Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
  501. Toward Patient-specific Partial Point Cloud to Surface Completion for Pre- to Intra-operative Registration in Image-guided Liver Interventions
  502. Analyzing Biases in Political Dialogue: Tagging U.S. Presidential Debates with an Extended DAMSL Framework
  503. LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study
  504. Multimodal Machine Translation with Visual Scene Graph Pruning
  505. Objective, Absolute and Hue-aware Metrics for Intrinsic Image Decomposition on Real-World Scenes: A Proof of Concept
  506. Learning for Dynamic Combinatorial Optimization without Training Data
  507. The Role of Video Generation in Enhancing Data-Limited Action Understanding
  508. Anveshana: A New Benchmark Dataset for Cross-Lingual Information Retrieval On English Queries and Sanskrit Documents
  509. ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis
  510. Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval
  511. Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
  512. Understanding Transformer from the Perspective of Associative Memory
  513. SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams
  514. Revolutionizing Wildfire Detection with Convolutional Neural Networks: A VGG16 Model Approach
  515. Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks
  516. Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
  517. Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs
  518. Residual Cross-Attention Transformer-Based Multi-User CSI Feedback with Deep Joint Source-Channel Coding
  519. Your Classifier Can Do More: Towards Balancing the Gaps in Classification, Robustness, and Generation
  520. Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
  521. BizFinBench: A Business-Driven Real-World Financial Benchmark for Evaluating LLMs
  522. MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering
  523. A Contrastive Learning Foundation Model Based on Perfectly Aligned Sample Pairs for Remote Sensing Images
  524. MetaGMT: Improving Actionable Interpretability of Graph Multilinear Networks via Meta-Learning Filtration
  525. Style2Code: A Style-Controllable Code Generation Framework with Dual-Modal Contrastive Representation Learning
  526. Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems
  527. CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features
  528. Advanced Long-term Earth System Forecasting
  529. Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation
  530. Rhapsody: A Dataset for Highlight Detection in Podcasts
  531. The Role of Diversity in In-Context Learning for Large Language Models
  532. LlamaSeg: Image Segmentation via Autoregressive Mask Generation
  533. Certainty and Uncertainty Guided Active Domain Adaptation
  534. CAD-SLAM: Consistency-Aware Dynamic SLAM with Dynamic-Static Decoupled Mapping
  535. It's Not Just Labeling -- A Research on LLM Generated Feedback Interpretability and Image Labeling Sketch Features
  536. MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models
  537. Toward Multiphysics-Informed Machine Learning for Sustainable Data Center Operations: Intelligence Evolution with Deployable Solutions for Computing Infrastructure
  538. Fusion Intelligence for Digital Twinning AI Data Centers: A Synergistic GenAI-PhyAI Approach
  539. Future Link Prediction Without Memory or Aggregation
  540. Exploring the Possibility of TypiClust for Low-Budget Federated Active Learning
  541. Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods
  542. Erasing Concepts, Steering Generations: A Comprehensive Survey of Concept Suppression
  543. Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains
  544. Uniform convergence of the smooth calibration error and its relationship with functional gradient
  545. VADER: A Human-Evaluated Benchmark for Vulnerability Assessment, Detection, Explanation, and Remediation
  546. Simple and Effective Baselines for Code Summarisation Evaluation
  547. gec-metrics: A Unified Library for Grammatical Error Correction Evaluation
  548. Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion
  549. GSA-TTS : Toward Zero-Shot Speech Synthesis based on Gradual Style Adaptor
  550. Absolute Coordinates Make Motion Generation Easy
  551. Belief Attribution as Mental Explanation: The Role of Accuracy, Informativity, and Causality