Papers
Thu 4 Jun 2026
576 papers
- DiDrive: A Risk-Aware Hierarchical Diffusion Framework for Safe Offline Reinforcement Learning in Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +2
- Persona-Guided LLM Agents for Task-Oriented DialogueLLM agents and tool use → Social simulation and multi-agent debate
- CaRE Compute-aware Remasking Evaluation Protocol for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Autonomous Topology Mutation: Safe Runtime Restructuring for Multi-Agent LLM Systems with Capability, State, and Shadow InvariantsLLM agents and tool use → Software engineering coding agents
- Self-Recognition Finetuning can Prevent and Reverse Emergent MisalignmentLLM safety and security → Safety alignment, refusal and guardrails
- Style-CCL: Content-Preserving Style Transfer via Curriculum Continual LearningDiffusion models → Image generation, text-to-image and editing
- SPEAR: A System for Post-Quantization Error-Adaptive Recovery Enabling Efficient Low-Bit LLM ServingEfficient LLM inference and serving → KV cache quantization
- DOG-DPO:Dynamic Optimization in Geometry for Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- AgentCompile: An LLM-Guided Compiler for Direct CUDA InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Diagnosing Evidence Utilization in Long-Context and Retrieval-Augmented Language Models under Matched Evidence ConditionsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- MADRAG: Multi-Agent Debate with Retrieval-Augmented Generation for Training-Free Analytic Essay ScoringRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Pomona: Continuous Code Quality Improvement via Small, Agentic Pull Requests at BloombergLLM agents and tool use → Software engineering coding agents
- Evidence Graph Consistency in Retrieval-Augmented Generation: A Model-Dependent Analysis of Hallucination DetectionRetrieval-augmented generation → Hallucination detection in RAG
- Performance Variation in Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- When to Think Deeply: Inhibitory Deliberation for LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- HybridCodec: Fast Dual-Stream, Semantically Enhanced Neural Audio CodecMultimodal LLMs / vision-language models → Video understanding with MLLMs
- OpenSkill: Open-World Self-Evolution for LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- A Geometric Account of Activation Steering through Angle-Norm DecompositionMechanistic interpretability → Activation steering methods
- Anchored, Not Graded: Vision-Language Models Fail at Slant-from-Texture PerceptionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy DistillationDiffusion models → Discrete and text diffusion +1
- Signal-Driven Observation for Long-Horizon Web AgentsLLM agents and tool use → Web, search, and research agents
- RECAP: Regression Evaluation for Continual Adaptation of PromptsLLM agents and tool use → General LLM agent frameworks and benchmarks
- MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Spatiotemporal Imputation with Graph-Informed Flow MatchingDiffusion models → Flow matching, time series and science
- What Do People Actually Want From AI? Mapping Preference PluralityLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Inside the Visual Mind: Neuroscience-Motivated Concept Circuits for Interpreting and Steering Vision TransformersMechanistic interpretability → Interpreting vision and multimodal models
- Capturing non-Markovian dynamics in non-equilibrium stochastic systems using flow matchingDiffusion models → Diffusion foundations and sampling
- How Language Models Fail: Token-Level Signatures of Committed and Persistent Reasoning FailuresLLM reasoning → Test-time compute and efficient thinking
- NTILC: Neural Tool Invocation via Learned CompressionLLM agents and tool use → Tool learning and function calling
- MacArena: Benchmarking Computer Use Agents on an Online macOS EnvironmentLLM agents and tool use → GUI and mobile agents +1
- Robots Need More than VLA and World ModelsWorld models → Embodied and robot world models +1
- Queen-Bee Agents: A BeeSpec-Centered Architecture for Governed Enterprise MCP OrchestrationLLM agents and tool use → General LLM agent frameworks and benchmarks
- WorldBench: A Challenging and Visually Diverse Multimodal Reasoning BenchmarkLLM reasoning → Multimodal reasoning
- HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary TeachersLLM agents and tool use → Multimodal and embodied agents
- TempoVLA: Learning Speed-Controllable Vision-Language-Action PoliciesVision-language-action models → Efficient VLA inference and adaptation
- PAR3D: A Unified 3D-MLLM with Part-Aware Representation for Scene UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Thinking with Imagination: Agentic Visual Spatial Reasoning with World SimulatorsLLM reasoning → Spatial and embodied reasoning +2
- RREDCoT: Segment-Level Reward Redistribution for Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
- Self-Augmenting Retrieval for Diffusion Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm DiscoverySynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Goedel-Architect: Streamlining Formal Theorem Proving with Blueprint Generation and RefinementLLM agents and tool use → Educational agents and math problem solving
- You Only Index Once: Cross-Layer Sparse Attention with Shared RoutingEfficient LLM inference and serving → KV cache optimization
- Will the Agent Recuse, and Will It Stop? Measuring LLM-Agent Compliance with In-Band Governance Signals at the Access Door and Mid-FlightLLM agents and tool use → Agent threats, guardrails and governance
- Vortex: Efficient and Programmable Sparse Attention Serving for AI AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Agent Memory: Characterization and System Implications of Stateful Long-Horizon WorkloadsLLM agents and tool use → Agent memory systems
- Latent Reasoning with Normalizing FlowsLLM reasoning → Prompting and chain-of-thought reasoning +1
- Reinforcement Learning Elicits Contextual Learning of Unseen Language TranslationDeep reinforcement learning methods → RL training of language and agent models
- Unsupervised Skill Discovery for Agentic Data AnalysisLLM agents and tool use → Agent skill learning and evolution
- CollabSim: A CSCW-Grounded Methodology for Investigating Collaborative Competence of LLM Agents through Controlled Multi-Agent ExperimentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Humans' ALMANAC: A Human Collaboration Dataset of Action-Level Mental Model Annotations for Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- WebMCP Tool Surface Poisoning: Runtime Manipulation Attacks on LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- EasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases ThemDiffusion models → Video generation
- Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic DataLLM safety and security → Membership inference attacks
- Subspace-Aware Sparse Autoencoders for Effective Mechanistic InterpretabilityMechanistic interpretability → Sparse autoencoder training and evaluation
- PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series DataDiffusion models → Flow matching, time series and science
- From Failed Trajectories to Reliable LLM Agents: Diagnosing and Repairing Harness FlawsLLM agents and tool use → Software engineering coding agents
- DragOn: A Benchmark and Dataset for Drag-Based GUI InteractionsLLM agents and tool use → GUI and mobile agents
- Learning What to Forget: Improving LLM Unlearning via Learned Token-Level ImportanceLLM safety and security → Machine unlearning
- RhymeFlow: Training-Free Acceleration for Video Generation with Asynchronous Denoising Flow SchedulingDiffusion models → Video generation
- Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit CorrectionDiffusion models → Diffusion foundations and sampling
- Tangram: Unlocking Non-Uniform KV Cache Compression for Efficient Multi-turn LLM ServingEfficient LLM inference and serving → KV cache optimization
- More than a Judge: An Empirical Study of Agent-Human Interaction in Crowdsourced Testing AssessmentLLM agents and tool use → Software engineering coding agents
- ToolChoiceConfusion: Causal Minimal Tool Filtering for Reliable LLM AgentsLLM agents and tool use → Tool learning and function calling
- Geodesic Flow Matching on a Riemannian Degradation Manifold for Blind Image RestorationDiffusion models → Flow matching, time series and science
- Adapting Diffusion Language Models for Lossless Pixel-Level Image TransmissionDiffusion models → Diffusion for compression and wireless
- Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit DiscoveryMechanistic interpretability → Circuits and mechanistic analysis
- OneReason Technical ReportLLM reasoning → LLM reasoning for recommendation
- RedKnot: Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttentionEfficient LLM inference and serving → KV cache optimization
- MPCoT: Reward-Guided Multi-Path Latent Reasoning for Test-Time Scalable Vision-Language-ActionVision-language-action models → Reasoning and chain-of-thought in VLA
- TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent MemoryLLM agents and tool use → Agent memory systems
- Tracing the Oracle: Improving Diffusion Timestep Scheduling for 3D CT ReconstructionDiffusion models → Medical imaging and segmentation
- SAM-Flow: Source-Anchored Masked Flow for Training-Free Image EditingDiffusion models → Image generation, text-to-image and editing
- Reward hacking in physical reinforcement learning revealed by turbulent drag reductionDeep reinforcement learning methods → RL with diffusion and flow models
- From Reward-Hack Activations to Agentic Risk States: Context-Calibrated Mechanistic Monitoring in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- CLEAR: Cognition and Latent Evaluation for Adaptive Routing in End-to-End Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies +1
- Towards the Readability of LLM-Generated Codes through Multitask Representation EngineeringMechanistic interpretability → Knowledge and representations inside LLMs
- Evaluating Agentic Configuration Repair for Computer NetworksLLM agents and tool use → Agentic AI for wireless networks
- The Tell-Tale Norm: ℓ2 Magnitude as a Signal for Reasoning Dynamics in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation +1
- Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Diffusion Models Observe Only Gradients: A Geometric Perspective on Score Matching ErrorsDiffusion models → Diffusion foundations and sampling
- AffordanceVLA: A Vision-Language-Action Model Empowering Action Generation through Affordance-Aware UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- WorldFly: A World-Model-Based Vision-Language-Action Model for UAV NavigationWorld models → World models for navigation
- RedEdit: Agentic Red-Teaming of Image Safety Classifiers via MCTS-Guided Photo-EditingLLM agents and tool use → Agent threats, guardrails and governance +1
- TLA-Prover: Verifiable TLA+ Specification Synthesis via Preference-Optimized Low-Rank AdaptationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Diff-CA: Separating Common and Salient Factors with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- ANCHOR: An External LLM-Driven Supervisory Module Facilitating Healthy Evolution in Self-Evolving SystemsSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- HyperVis: Continuous Latent Visual Relational Graphs on the Lorentz Hyperboloid for Compositional ReasoningLLM reasoning → Multimodal reasoning +1
- OrderGrad: Optimizing Beyond the Mean with Order-Statistic Policy Gradient EstimationDeep reinforcement learning methods → RL theory and sample complexity
- Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon AgentsLLM agents and tool use → Agent memory systems
- LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- On Advantage Estimates for Max@K Policy GradientsLLM reasoning → Reinforcement learning for reasoning +1
- SkillComposer: Learning to Evolve Agent Skills for Specification and GeneralizationLLM agents and tool use → Agent skill learning and evolution
- Knowledge Distillation for Visual Autoregressive ModelsKnowledge distillation → Multimodal distillation
- Learning Visual Spatial Planning from Symbolic State via Modality-Gap-Aware Self-DistillationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- FontFusion: Enhancing Generative Text in Diffusion Models with Typographic ConditioningDiffusion models → Image generation, text-to-image and editing
- A Conversational Framework for Human-Robot Collaborative Manipulation with Distributed Generative AI modelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- ReCache: Learning Budget-Aware Caching Schedules for Diffusion Models via REINFORCEDiffusion models → Diffusion foundations and sampling
All 576
- MDP-GRPO: Stabilized Group Relative Policy Optimization for Multi-Constraint Instruction FollowingLLM reasoning → Reinforcement learning for reasoning
- Beyond Similarity: Trustworthy Memory Search for Personal AI AgentsLLM agents and tool use → Agent memory systems
- Online KL-Regularized Reinforcement Learning with Function Approximation under MisspecificationDeep reinforcement learning methods → RL theory and sample complexity
- L-SDPPO: Policy Optimization of Spiking Diffusion Policy for Intra-vehicular Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
- IA-RAG: Interval-Algebra-Driven Temporal Reasoning for Dynamic Knowledge RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning +1
- SpeechJBB: Probing Safety Alignment and Comprehension in Large Audio Language Models under Code-Switched SpeechLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Memory is Reconstructed, Not Retrieved: Graph Memory for LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- NAVIRA: Decoupled Stochastic Remasking for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- EGTR-Review: Efficient Evidence-Grounded Scientific Peer Review Generation via Multi-Agent Teacher DistillationLLM agents and tool use → Web, search, and research agents
- OPRD: On-Policy Representation DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute RecognitionDiffusion models → Image generation, text-to-image and editing
- PLAN-S: Bridging Planning with Latent Style Dynamics for Autonomous Driving World ModelsWorld models → World models for autonomous driving +1
- Diffusion Models for Adaptive Sequential Data GenerationDiffusion models → Flow matching, time series and science
- Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Global-Local Monte Carlo Tree Search in Vision-Language Models for Text-to-3D Indoor Scene GenerationLLM reasoning → Spatial and embodied reasoning +1
- Compress-Distill: Reasoning Trace Compression for Efficient Knowledge DistillationLLM reasoning → Test-time compute and efficient thinking +1
- Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
- Inverting the Streaming-Diffusion Bottleneck: Video-Rate MLLM-Conditioned Edit Diffusion on a Consumer GPUKnowledge distillation → Multimodal distillation
- World-Language-Action Model for Unified World Modeling, Language Reasoning, and Action SynthesisWorld models → Embodied and robot world models
- The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMsLLM reasoning → Multimodal reasoning +1
- Towards a Data Flywheel for Embodied Intelligence in LogisticsWorld models → Embodied and robot world models
- Steering Vectors are an Adversarial Attack SurfaceLLM safety and security → Safety alignment, refusal and guardrails +1
- Learning of Robot Safety Policies via Adversarial Synthetic ScenariosLLM agents and tool use → Agent threats, guardrails and governance
- Edit-R2: Context-Aware Reinforcement Learning for Multi-Turn Image EditingDiffusion models → Image generation, text-to-image and editing +1
- Epistemic Injustice in Language Models: An Audit of Pretraining Filters and GuardrailsLLM safety and security → Safety alignment, refusal and guardrails
- A Pre-Registered Causal Partition of Self-Consistency Elicitation and Reward Design in RLVRLLM reasoning → Reinforcement learning for reasoning
- Towards World Models in Biomedical ResearchWorld models → Medical and surgical world models
- Asuka-Bench: Benchmarking Code Agents on Underspecified User Intent and Multi-Round RefinementLLM agents and tool use → Software engineering coding agents
- MemoryCard: Topic-Aware Multi-Modal Clue Compression for Long-Video Question AnsweringMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)Retrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Retry Policy Gradients in Continuous Action SpacesDeep reinforcement learning methods → RL theory and sample complexity
- When Denser Credit Is Not Enough: Evidence-Calibrated Policy Optimization for Long-Horizon LLM Agent TrainingLLM agents and tool use → Reinforcement learning for LLM agents
- Geometry-Aware Dataset Condensation for Diffusion Model TrainingDiffusion models → Diffusion foundations and sampling
- QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG ServingRetrieval-augmented generation → Generation and context integration
- Evaluating Stochastic Collapse and Implicit Bias in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA TransitionEfficient LLM inference and serving → Early exit and edge inference
- Exploring cooperation mechanisms via deep reinforcement learning in network common-pool resource gamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series AnalysisLLM agents and tool use → Financial trading and forecasting agents
- TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy OptimizationLLM reasoning → Test-time compute and efficient thinking
- Agentic Molecular Recovery via Molecule-Aware ExplorationLLM agents and tool use → Medical and scientific domain agents
- Mechanistic Insights into Functional Sparsity in Multimodal LLMs via CoRe HeadsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- ProSPy: A Profiling-Driven SQL-Python Agentic Framework for Enterprise Text-to-SQLLLM agents and tool use → Web, search, and research agents
- Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Statistical Priors for Implicit Preferences: Decoupling Skill Selection as a Local Harness in Personal AgentsLLM agents and tool use → Agent memory systems
- When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- From Risk Classification to Action Plan Remediation: A Guardrail Feedback Driven Framework for LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- SALT: When More Rollouts Don't Help in Group-Based Policy Optimization and How to Make Them MatterLLM reasoning → Reinforcement learning for reasoning
- CollabBench: Benchmarking and Unleashing Collaborative Ability of LLMs with Diverse Players via Proactive EngagementLLM agents and tool use → Reinforcement learning for LLM agents
- SentinelRAG: Synthetic Sentinel Knowledge for RAG Database Copyright ProtectionLLM safety and security → Watermarking generated content and models
- TAPO: Tool-Aware Policy Optimization via Credit Transfer for Multimodal Search AgentsLLM reasoning → Reinforcement learning for reasoning
- PiL-World: A Chunk-Wise World Model for VLA Policy-in-the-Loop EvaluationWorld models → Embodied and robot world models +1
- Imagine Before You Predict: Interleaved Latent Visual Reasoning for Video Event PredictionLLM reasoning → Multimodal reasoning
- DRIFT: A Residual Flow Adapter for Decoding Continuous Outputs in Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Cosine Misleads: Auxiliary Losses Reshape Vision Language Models, Not Their LatentsLLM reasoning → Multimodal reasoning +1
- UNIVID: Unified Vision-Language Model for Video ModerationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- PlanBench-V: A Spatial Planning Map Benchmark for Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Membrane: A Self-Evolving Contrastive Safety Memory for LLM Agent DefenseLLM agents and tool use → Agent threats, guardrails and governance +3
- AdaPLD: Adaptive Retrieval and Reuse for Efficient Model-Free Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Let It Be Simple: One-Step Action Generation for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- VTI-CoT: Visual-Textual Interleaved Chain of Thought for Video ReasoningLLM reasoning → Multimodal reasoning
- Narrative Knowledge Weaver: Narrative-Centric Retrieval-Augmented Reasoning for Long-Form Text UnderstandingRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Microskill Architecture: A Modular Skill-Driven Framework for AI-Native Code GenerationLLM agents and tool use → Software engineering coding agents
- ViCuR: Visual Cues as Recoverable Privilege for Multimodal On-Policy DistillationKnowledge distillation → Multimodal distillation
- Beyond tokens: a unified framework for latent communication in LLM-based multi-agent systemsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Critic-Guided Heterogeneous Multi-Agent Reasoning for Reliable Mathematical Problem SolvingLLM reasoning → Reasoning for agents, planning and code +1
- Seeing Time: Benchmarking Chronological Reasoning and Shortcut Biases in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- DexFuture: Hierarchical Future-State Visuomotor Targeting for Bimanual Dexterous Tool UseWorld models → Embodied and robot world models
- Rethinking LoRA Memory Through the Lens of KV Cache CompressionEfficient LLM inference and serving → KV cache optimization
- PerceptUI: LLM Agents as Human-Aligned Synthetic Users for UI/UX EvaluationLLM agents and tool use → GUI and mobile agents
- MolE-RAG: Molecular Structure-Enhanced Retrieval-Augmented Generation for ChemistryRetrieval-augmented generation → Medical and biomedical RAG
- Value-and-Structure Alignment for Routing-Consistent Quantization of Mixture-of-Experts ModelsMixture-of-experts → MoE large language models
- Accelerating and Scaling MPC-Guided Reinforcement Learning for Humanoid Locomotion and ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- AdaMEM: Test-Time Adaptive Memory for Language AgentsLLM agents and tool use → Agent memory systems
- LongSpace: Exploring Long-Horizon Spatial Memory from Perception to Recall in VideoMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Do More Agents Help? Controlled and Protocol-Aligned Evaluation of LLM Agent WorkflowsLLM agents and tool use → Software engineering coding agents
- Agent-Orchestrated Adaptive RAG: A Comparative Study on Structured and Multi-Hop RetrievalRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic ProgrammingDiffusion models → Diffusion foundations and sampling
- Coding with "Enemy": Can Human Developers Detect AI Agent Sabotage?LLM agents and tool use → Software engineering coding agents
- Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy LearningWorld models → Embodied and robot world models
- Answer Presence Drives RAG Rewriting GainsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Self-Commitment Latency: A Reward-Free Probe for Prompted Implicit HackingLLM reasoning → Reinforcement learning for reasoning +1
- AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User ConstraintsLLM agents and tool use → General LLM agent frameworks and benchmarks
- ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising RecommendationLLM agents and tool use → Agentic recommender systems
- Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior AttackLLM safety and security → Safety alignment, refusal and guardrails
- SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak AttacksLLM safety and security → Jailbreaking
- Agentic Software: How AI Agents Are Restructuring the Software ParadigmLLM agents and tool use → Software engineering coding agents
- AsyncWebRL: Efficient Asynchronous Reinforcement Learning for Multi-Step Visual Web AgentsLLM agents and tool use → Web, search, and research agents +1
- UltraVR: A Diagnostic Ultra-Resolution Image-VQA Benchmark for Evidence-Grounded ReasoningLLM reasoning → Multimodal reasoning +1
- SB-RF: Schr"odinger Bridge Rectified Flow for One-Step Robust Speech EnhancementDiffusion models → Audio, speech and music
- SmellBench: Towards Fine-Grained Evaluation of Code Agents on Refactoring TasksLLM agents and tool use → Software engineering coding agents
- TensorBench: Benchmarking Coding Agents on a Compiler-Based Tensor FrameworkLLM agents and tool use → Software engineering coding agents
- GuardNet: Ensemble Strategies of Shallow Neural Networks for Robust Prompt Injection and Jailbreak DetectionLLM safety and security → Jailbreaking
- CLaaS: Continual learning as a service for sample efficient online learningLLM agents and tool use → Agent memory systems
- Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM AgentsWorld models → World models for language agents +1
- AURA: Intent-Directed Probing for Implicit-Need Surfacing in Situated LLM AgentsLLM agents and tool use → Multimodal and embodied agents
- Representation Learning Enables Scalable Multitask Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- ADK Arena: Evaluating Agent Development Kits via LLM-as-a-DeveloperLLM agents and tool use → Software engineering coding agents
- Less is MoE: Trimming Experts in Domain-Specialist Language ModelsMixture-of-experts → MoE large language models
- Almieyar-Oryx-BloomBench: A Bilingual Multimodal Benchmark for Cognitively Informed Evaluation of Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Constrained Deep Reinforcement Learning for Cognitive Radar Resource ManagementDeep reinforcement learning methods → RL for robot navigation and UAV control
- SciVisAgentSkills: Design and Evaluation of Agent Skills for Scientific Data Analysis and VisualizationLLM agents and tool use → Multimodal and embodied agents
- CHASE: Adversarial Red-Blue Teaming for Improving LLM Safety using Reinforcement LearningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Compiler-Guided Adaptive Proof Search with Cross-Model Synergy on Context-Dependent Theorem Proving
- Entity tracking emerges in sub-billion parameter language models and exceeds human performance in naturalistic narratives
- LongNovel: A Multi-Scale Benchmark for Hallucination Detection in Long-Context Novel Summarization
- RubricReviewer: From Direct Critique to Objective and Comprehensive Rubric-Driven Peer Review
- GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models
- PhononBench-MP40: a spectrum-resolved benchmark dataset for phonon stability
- EvoSQL: Memory-Augmented Critic-Generator Co-Evolution for Text-to-SQL
- Using LLMs for Explainable, Data-Driven Insight Generation from Time Series
- How Does Empowering Users with Greater System Control Affect News Filter Bubbles?
- Artificial Intelligence-Enabled Accounting Information Systems and Fraud Detection in Nigeria's Financial Services Sector: The Moderating Role of Natural Language Processing
- AI Assistance for Human Review of Default Judgments
- Beyond Detection: Redesigning Assessment and Governande of Generative AI at the Universidad Polit'ecnica de Madrid (UPM)
- Evaluating LLM Usage for Efficient and Explainable Numerical and Classified Implicit Sentiment Analysis of Product Desirability
- PIVOT: Bridging Black-Scholes Implied-Volatility and Price Objectives via Differentiable J"ackel Operator
- Minimal Oversight: Uncertainty-Aware Governance for Delegated AI Systems
- ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs
- HMAF: A Hierarchical Multi-Slot GD-RTB Allocation Framework
- A Navigable Manifold of Hypothesized Consciousness-Spectrum States in Language Model Representations
- Systematic LLM Translation of Legacy Scientific Code to Differentiable Frameworks: Application to a Land Surface Model
- Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference
- Single-Cell Cross-Modal Transfer by Adversarial Fine-Tuning of Foundation Models
- The Need for Neural ISP in the Small-Pixel Era: How Shrinking Pixels Push Optics to the Limit and Neural Restoration Pushes Back
- Simultaneous hyperkinetic movement disorders phenotyping: a cross-cohort pediatric transfer study using routine videos, markerless pose estimation and a tabular foundation model
- A Hierarchical Feature Engineering Framework for Automated Classification of Phonotraumatic and Non-Phonotraumatic Vocal Hyperfunction
- Liquid Neural Networks as a Drop-in Continuous-Time Deformation Field for Dynamic 3D Gaussian Splatting
- MemoVAD: Resource-Efficient Video Anomaly Detection via Dynamic Semantic Memory in Edge Computing Scenarios
- Hardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems
- The Sharp Phase Transition of Tyler's M-Estimator for Robust Subspace Recovery
- When Better Codebooks Are Not Enough: Predictive Performance and Behavioral Reliability in LLM Political Event Coding
- Mind the Gap: Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations
- A Rolling-Window Framework for Churn Prediction and Behavioral Driver Identification
- Minimax-Optimal Generalization Bounds for Smooth Deep Neural Networks Trained by (Stochastic) Gradient Descent
- Reactivity-Informed Machine Learning for Performance Prediction and Design Space Exploration of Alkali-Activated Slag
- Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks
- AxisGuide: Grounding Robot Action Coordinate System in RGB Observations for Robust Visuomotor Manipulation
- PromptPrint: Behavioral Biometrics Through Natural Language Prompting in LLMs
- Learn to Match: Two-Sided Matching with Temporally Extended Feedback
- TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection
- Multilingual Multi-Speaker Unit Vocoders: A Systematic Analysis of Discrete Speech Representations
- Modular Monolingual Adaptation using Pretrained Language Models
- Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws
- Synthics: Synthetic Physics-like Datasets for Machine Learning
- Flatland: The Adventures of Gradient Descent with Large Step Sizes
- SCOUT: Semantic scene COverage via Uncertainty-guided Traversal
- MSAIC-Net: A Multi-Scale Attention and Imbalance-Aware Contrastive Network for ECG-Based Myocardial Substrate Abnormality Detection
- ShallowBench: Benchmarking Generative Drug Design Models on Shallow-Pocket Targets
- Does Topic Sentiment Cause Perceived Ideology? Comparing Human and LLM Annotations in Political News Articles
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- S23DR 2026 Winning Solution
- The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search
- RPC-GS: Gaussian Splatting with native RPC Rendering for Satellite Imagery
- Towards Serverless Semi-Decentralized Federated Learning with Heterogeneous Optimizers
- RigPAPR: Rig-Based Animation of Static Neural Point Clouds from a Fixed-Viewpoint Video
- Adaptive Band Selection for Hyperspectral Classification with Spatially Disjoint Evaluation
- HKJudge: A Legal Discourse-Annotated Corpus for Interpreting What Courts Find, How They Reason, and What They Rule
- Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning
- Jacobi-Anger Method for Deterministic Initialization in Implicit Neural Representation
- The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment
- Architecture-Adaptive Uncertainty Fusion for Deepfake Detection
- Explainable Runtime Dependency Tracking for AI-RAN Conflict Monitoring
- AEGIS: A Backup Reflex for Physical AI
- A Study of Parallel Continuous Local Search
- The Identity Trap in EEG Foundation Models: A Diagnostic Audit
- CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures
- Accelerated Fourier SAT (AFSAT): Fully Realising a GPU-based Symmetric Pseudo-Boolean SAT Solver
- From Pixels to Newtons: Predicting In Vivo Joint Contact Forces from Monocular Video
- What Matters When Cotraining Robot Manipulation Policies on Everyday Human Videos?
- Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory
- UnpredictaBench: A Benchmark for Evaluating Distributional Randomness in LLMs
- ChronoForest: Closed-Loop Multi-Tree Diffusion Planning for Efficient Bridge Search and Route Composition
- FIGMA: Towards FIne-Grained Music retrievAl
- Re-Centering Humans in LLM Personalization
- Direct 3D-Aware Object Insertion via Decomposed Visual Proxies
- PolyFact: Comparing Consistency-Driven Post-training Methods for Cross-Lingual Factual Recall
- Gaussian Process Latent Factor Regression for Low-Data, High-Dimensional Output Problems
- Skip a Layer or Loop It? Learning Program-of-Layers in LLMs
- Multiscale POD of Transformer Attention Fields: Scale-Selective Analysis via Morlet Scalogram
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- MalTree: Tracing Malware Evolution from Embeddings at Scale
- Are you sure? A Comprehensive and Comprehensible Survey of Uncertainty Quantification in Symbolic Regression
- AI Level of Detail: Distance-Aware ML Model Precision Selection for Real-Time Human Motion Prediction in Games
- HAARES Half-Split Residual Basis Routing for Deep Transformers
- AI-Driven Test Case Generation from Natural Language Requirements: A Survey of Techniques and Research Gaps
- IRAF: Interference-Resilient Adaptive Fusion for Noise-Robust End-to-End Full-Duplex Spoken Dialogue Systems
- Depth over Fidelity in Fixed-Budget Noisy Evolution Strategies
- Multi-Scale Feature Attention Network for Polymer Classification Using Terahertz Spectroscopy
- Geometric Second-Order Feature Correlation Learning for Self-Supervised Speech Emotion Recognition
- FAIR-Calib: Frontier-Aware Instability-Reweighted Calibration for Post-Training Quantization of Diffusion Large Language Models
- Elmes*: Automated Construction of Fine-Grained Evaluation Rubrics for Large Language Models in Long-Tail Educational Scenarios
- Coordinated optimization of departure sequencing and section-track allocation in railway short-term concentrated departure scenarios based on qubo and hybrid quantum algorithms
- ErA: Error-Aware Deep Unrolling Network for Single Image Defocus Deblurring
- Synthetic Benchmarks Overstate Forward-Forward Scaling: Real-Data Limits of Layer-Local Training
- TailLoR: Protecting Principal Components in Parameter-Efficient Continual Learning
- Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution
- Regret Minimization with Adaptive Opponents in Repeated Games
- Operation-Guided Progressive Human-to-AI Text Transformation Benchmark for Multi-Granularity AI-Text Detection
- DNQ: Deep Nash Q-Network for Partially Observable n-Player Games
- Pretraining Recurrent Networks without Recurrence
- Complexity-Balanced Diffusion Splitting
- PC Layer: Polynomial Weight Preconditioning for Improving LLM Pre-Training
- How abundant are good interpolators?
- Human Adults and LLMs as Scientists: Who Benefits from Active Exploration?
- Benchmark Everything Everywhere All at Once
- Detecting Control and Response Events for AI-Enabled Radio Access Networks
- In-Context Multiple Instance Learning
- Scaffold, Not Vocabulary? A Controlled, Two-Tier, Pre-Registered Study of a Popperian Code-Generation Skill
- USAD 2.0: Scaling Representation Distillation for Universal Audio Understanding
- Revising Context, Shifting Simulated Stance: Auditing LLM-Based Stance Simulation in Online Discussions
- Causal Atlases from Entropic Inference: Bayesian Networks beyond Optimal DAGs
- RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation
- A Komi-Yazva--Russian Parallel Corpus and Evaluation Protocol for Zero- and Few-Shot LLM Translation
- Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss
- Nonreversible Gauge Fields in Fokker--Planck Dynamics: Supersymmetric Hamiltonians and Learned Finite Forces
- A Vision-language Framework for Comparative Reasoning in Radiology
- The Post-GCN Decade Revisited: Curvature-Stratified Evaluation of Relational Learning
- Risk Assessment of Autonomous Driving: Integrating Technical Failures, Ethical Dilemmas, and Policy Frameworks
- Proper Scoring Rules for Right-Censored Survival Data
- Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees
- HomeWorld: A Unified Floorplan-to-Furnished Framework for Generating Controllable, Densely Interactive Whole-Home Scenes
- Learned Response-Field Inertia Operator for HEC-RAS 2D Water-Surface Elevation Prediction
- Estimation of the sub-Gaussian Parameter
- Emergent Language as an Approach to Conscious AI
- Rethinking Infrastructure Inspection as Image Difference Classification: A Traffic Sign Case Study
- LatentWave: JEPA Pretraining for Wireless Foundation Models
- Visual Commonsense Driven Knowledge Refinements for Scene Graph Generation
- Optimally taming biases in black-box models for efficient semiparametric estimation
- End-to-End Subgraph Detection with GraphDETR
- GMBFormer: An NDVI-Guided Global Memory Bank Transformer for Urban Green-Space Extraction from Ultra-High-Resolution Imagery
- An Infectious Disease Spread Simulation Based on Large Language Model Decision Making
- Comparison of Deep Learning Frameworks For Rice Disease Mapping From UAV Multispectral Imaging
- F3-Tokenizer: Taming Audio Autoencoder Latents for Understanding and Generation
- Where Should Knowledge Enter? A Layered Framework for Knowledge Infusion in Multimodal Iterative Generative Model
- Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction
- EDIT: Evidence-Diagnosed Intervention Training for Rule-Faithful LLM Grading
- "Chi nas dal soch el sent de legn" -- Auditing Text Corpora for Lombard
- Performance Evaluation of GraphCast for Medium-Range Weather Forecasting over Brazil
- Attack Detection using Time Series Foundation Models
- Boosting Brain-to-Image Decoding with TRIBE v2 Data Augmentation
- Equivariant Neural Belief Propagation
- Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis
- StoryVideoQA: Scaling Deep Video Understanding with a Large-Scale, Multi-Genre and Auto-Generated Dataset
- TokenMizer: Graph-Structured Session Memory for Long-Horizon LLM Context Management
- Bridging Domain Expertise and Generalization for Performance Estimation
- Bentkus-type asymptotic e-values
- Efficient Mean Curvature Computation on High-Dimensional Data Manifolds
- Quantum enhanced rare event discovery and sampling
- LLM Self-Recognition: Steering and Retrieving Activation Signatures
- DAS-PINNs for high-dimensional partial differential equations: extending deep adaptive sampling to spacetime domains
- Wall Shear Stress Reconstruction from Concentration: Differentiable Physics and Physics-Informed Neural Networks
- AIS-Based Vessel Trajectory Prediction Using Memory-Augmented Neural Networks
- Decomposing Factual Sycophancy in Language Models: How Size and Instruction Tuning Shape Robustness
- Multi-ResNets for Subspace Preconditioning in Constrained Optimization
- Reactive Flux Matching: Mechanism Discovery and Adaptive Sampling of Rare Events
- Towards One-to-Many Temporal Grounding
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- Synthetic Data Generation and Vision-based Wrinkle and Keypoint Detection for Bimanual Cloth Manipulation
- Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach with Social Survey Applications
- LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs
- TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models
- Your GFlowNet Secretly Learns an Optimal Transport Plan
- FOXGLOVE: Understanding Goal-Oriented and Anchored Writing Feedback from Experts and LLMs on Argumentative Essays
- From Self to Other: Evaluating Demographic Perspective-Taking in LLM Hate Speech Annotation
- DAST: A VLM-LLM Framework for Cross-Interface Anomaly Detection in O-RAN
- RadiusFPS: Efficient Farthest Point Sampling on CPUs and GPUs via Spherical Voxel Pruning
- Closing the Loop on Latent Reasoning via Test-Time Reconstruction
- GRAMformer: Any-Order Modality Interactions via Volumetric Multimodal Cross-Attention
- Benchmarking Open-Source Layout Detection Models for Data Snapshot Extraction from Institutional Documents
- Generative Criticality in Large Language Model Temperature Scaling
- Design a Reliable LLM-Integrated Interface for Mortality Forecasting
- Anchor PCA
- Bridging the Semantic-Collaborative Gap: An Asymmetric Graph Architecture for Cold-Start Item Recommendation
- Symb-xMIL: Symbolic Explanations for Multiple Instance Learning in Digital Pathology
- TAM: Torque Adaptation Module for Robust Motion Transfer in Manipulation
- DisasterBench: A Multimodal Benchmark for UAV-Based Disaster Response in Complex Environments
- FiLM-Based Speaker Conditioning of a SpeechLLM for Pathological Speech Recognition
- Unsupervised Pattern Analysis in Japanese Veterinary Toxicology: A Regulatory-Compliant Framework for Cross-Species Risk Assessment
- Non-Negative Matrix Factorization for Event Data
- Dense Contexts Are Hard Contexts: Lexical Density Limits Effective Context in LLMs
- Learning to replenish: A hybrid deep reinforcement learning for dynamic inventory management in the pharmaceutical supply chains
- SC-MFJ: A Simple Haptic Quality Metric for Medical Image Segmentation
- Improving Answer Extraction in Context-based Question Answering Systems Using LLMs
- A Machine Learning-Based Framework for Discovering Huntington's Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset
- ActiveMimic: Egocentric Video Pretraining with Active Perception
- Revisiting Lexicon Evaluation in Unsupervised Word Discovery
- Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning
- Ouvia: A User-centered Framework for Measuring Usability of Speech Translation in Real-World Communication Scenarios
- RQUL-UIE: Revitalizing Quality-Unstable Labels for Underwater Image Enhancement via In-Dataset Self-Supervision
- Learning to model pediatric asthma exacerbation from multiple risk factors: a case study in coastal Virginia
- Effective Dimensionality as an Operator Invariant for Physics-Preserving Constraint Adaptation in Physics-Informed Neural Networks
- ProSarc: Prosody-Aware Sarcasm Recognition Framework via Temporal Prosodic Incongruity
- On the training of physics-informed neural operators for solving parametric partial differential equations
- Where does Absolute Position come from in decoder-only Transformers?
- ITP-STDP: A Hardware-Efficient Intrinsic-Timing Power-of-Two Synaptic Learning Engine for On-Chip SNNs
- Adaptive Tokenisation Via Temporal Redundancy Masking And Latent Inpainting
- Trust-Aware Predictive Emissions Monitoring for Gas Turbine Fleets with Limited Labelled Data
- Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models
- Tight list replicability bounds via a novel sphere covering theorem
- Computation-Aware Event-to-Frame Reconstruction via Selective Attention
- A Finite Certificate for the Positive n=9 Vasc Inequality
- Adaptive state-action abstractions via rate-distortion
- p-adic Bi-Filtrations for Topological Machine Learning on Genomic Sequences
- Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback
- Harnessing Structural Context for Entity Alignment Foundation Models
- Deployed trusted-node quantum key distribution over 300 km with a multi-core fiber access link
- A Sliced-Wasserstein Framework on Correlation Matrices for EEG Decoding
- MS-DKC: A Dataset Knowledge Card Framework for Designing and Adapting Medical Image Segmentation Models
- Step-adaptive multimodal fusion network with multi-scale cloud feature learning for ultra-short-term solar irradiance forecasting
- CogManip: Benchmarking Manipulative Behavior in Multi-Turn Interactions with Large Language Model
- IR3DE: A Linear Router for Large Language Models
- Integrating Mechanistic and Data-Driven Models for Neurological Disorders through Differentiable Programming
- CHALIS: A Challenge Dataset for Language Identification in Difficult Scenarios
- A Framework for Measuring Appropriate Reliance on Set-Valued AI Advice
- 3D Underwater Path Planning via Generative Flow Field Surrogates
- VZCrash: A Large-Scale IMU Dataset of Ego-Vehicle Crashes
- Multi-task Learning is Not Enough: Representational Entanglement in Dual-output Second Language Speech Recognition
- Metamorphic Testing with the Rashomon Set: Explanation Faithfulness in Machine Learning
- HUSH-Bench: Measuring Memory-Use Boundaries for Sensitive History in Conversational Agents
- LLM-Conditioned Synthesis of Pathological Gaits via Structured Gait-Language Representations
- Automatic Labelling of Speech Translation Errors
- Learning solution operators of PDEs with sparse approximation methods
- Adaptive Learning Rates with Surrogate Probability for Follow-the-Perturbed-Leader
- LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing
- Sample-efficient Low-level Motion Planning for Robotic Manipulation Tasks via Zero-shot Transfer Learning
- Texture-preserving implicit neural representation for Cone beam CT truncated reconstruction
- English-to-Prakrit Machine Translation via Multilingual Transfer Learning
- When Good Enough Is Optimal: Multiplication-Only Matrix Inversion Approximation for Quantized Gated DeltaNet
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- RedditPersona: A Modular Framework for Community-Conditioned LLM Adaptation from Reddit
- Contextualized Prompting For Stance Detection On Social Media
- Merging model-based control with multi-agent reinforcement learning for multi-agent cooperative teaming strategies
- Adaptive Oscillatory-State Alignment for Time Series Forecasting
- The Generator-Eraser Paradox: Community Guidelines for Responsible LLM-Assisted Dialect Resource Creation
- ATT-CR: Adaptive Triangular Transformer for Cloud Removal
- Deep Learning-based 3D Oral Cavity Reconstruction Using 2D Intraoral Images
- Multimodal Sexism Identification and Characterization using Large Language Models and Gradient Boosting
- HoT-SSM:Higher-order Temporal Knowledge Graph Reasoning with State Space Models for Health Care
- AttackPathGNN: Cross-function vulnerability detection in smart contracts using state interference graphs and conjunction pooling
- Framing, Judging, Steering: An Assessable Competency Model for Teach-ing Students to Reason With Generative AI
- T-FunS3D: Task-Driven Hierarchical Open-Vocabulary 3D Functionality Segmentation
- LLM Explainability with Counterfactual Chains and Causal Graphs
- Measuring the sensitivity of LLM-based structured extraction to prompt, model, and schema choices in clinical discharge summaries
- Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples
- Dead Directions: Geometric Singular Learning
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- Short paper: Models in the dark -- Rectification and erasure under GDPR in ML supply chains
- EML-CD: Causal Mechanism Recovery via EML Symbolic Trees in Structure Learning
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- Addressing Imbalance in Multi-Label Data via Label-Specific Distance-based Oversampling
- Better Literary Translation: A Multi-Aspect Data Generation and LLM Training Approach
- Evolving Agents in the Dark: Retrospective Harness Optimization via Self-Preference
- Finding Most Influential Sets
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- CamFlow+: Hybrid Motion Bases for 2D Camera Motion Estimation with Stabilization Applications
- Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars
- DBHN-Net: Dual-Branch Hybrid Neural Network For Low-Complexity Monaural Speech Enhancement
- Knowledge Manifold: A Riemannian Geometric Framework for Semantic Mapping and Geodesic Analysis of Scientific Literature
- ACE-SQL: Adaptive Co-Optimization via Empirical Credit Assignment for Text-to-SQL
- High-Dimensional Theory of LoRA Fine-Tuning in a Solvable Attention Model
- Resonant Minds: Closed-Loop Social Avatars with Theory of Mind
- Representing Research Attention as Contextually Structured Flows
- EMBER: Efficient Memory via Budgeted Evidence Retention for Long-Horizon Agents
- Staying with the Uncertainty: Uncertainty-Scaffolding Strategies for Artificial Moral Advisors in LLM-to-LLM Simulated Conversations
- GLASS: GRPO-Trained LoRA for Acoustic Style Steering in Zero-Shot Text-to-Speech
- TS-ICL: A Flexible Time-Indexed Foundation Model for Time Series via In-Context Learning
- LadderMan: Learning Humanoid Perceptive Ladder Climbing
- Entropy-Based Observability for AI Agent Behavior
- Compositional Boundaries for Density Fusion
- Cross-scale spatially-aware generative modeling of transcriptomic programs underlying neurodegenerative brain organization
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- GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks
- Gender Artifacts from Art History to Text-to-Image Generation
- Benchmarks in Leipzig
- Consistency Training Along the Transformer Stack
- Emotion-Aware Image Generation from Korean Diary Text via LLM-based Prompt Translation and LoRA Fine-Tuning
- Robust and sparse support vector machine via hybrid truncated loss for supervised classification
- Can LLMs Be Constrained to the Past? Improving Knowledge Cutoff through Recall-Based Prompting
- CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction
- Causal Longitudinal Prior-Fitted Networks for Counterfactual Outcome Prediction
- Can LLMs Write Correct TLA+ Specifications? Evaluating Natural-Language-to-TLA+ Generation
- Next-Generation Parallel Decoder for LPDR: Architectural Optimization and Class-Balanced GAN-Augmentation
- Domain-Adapted Small Language Models with Hybrid Post-Processing: Achieving Cost-Efficient, Low-Latency Multi-Label Structured Prediction via LoRA Fine-Tuning on Scarce Data
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- Beyond Absolute Scores: Relative Edit-induced Difference for Generalizable Image Aesthetic Assessment
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- LiAuto-GeoX: Efficient Grounded Driving Transformer
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- SubtleMemory: A Benchmark for Fine-Grained Relational Memory Discrimination in Long-Horizon AI Agents
- ExpSpeech-Net: Multimodal Fusion of Expression and Speech for Deepfake Detection
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- Beyond Soft Masks: Hard-Perturbation Mixup Explainer for Robust GNN Explainability
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- MARDoc: A Memory-Aware Refinement Agent Framework for Multimodal Long Document QA
- Class-Specific Branch Attention for Mitigating Gradient Interference under Class Imbalance
- When AI Says It Feels
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- Intercomparison of Machine Learning Algorithms for Remote Sensing-based In-season Crop Mapping
- TextWand: A Unified Framework for Scene Text Editing
- Automated Proving of Shannon-Type Entropy Inequalities via Fine-Tuned Language Models and Guided Tree Search
- DiG-Plan: Mitigating Early Commitment for Tool-Graph Planning via Diffusion Guidance
- An Embarrassingly Simple Detector for Model Extraction Attacks in Large Language Model API Traffic
- Interpreting Style Representations via Style-Eliciting Prompts
- Hybrid CNN-LSTM Framework for Intelligent Cyber Attack Detection and Prevention in U.S. Critical Digital Infrastructure: A Comparative Machine Learning Evaluation on CSE-CIC-IDS2018
- Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework
- Real-Time Threat Detection from Surveillance Cameras using Machine Learning
- Parallel Jacobi Decoding for Fast Autoregressive Image Generation
- Cognitive Threat Intelligence and Explainable Federated Security Analytics for distributed Infrastructure Systems
- T-SAR-JEPA: Self-Supervised Temporal Anomaly Detection in SAR Amplitude Stacks via Latent Prediction
- Revisiting Prototype Rehearsal for Exemplar-Free Continual Learning: Manifold-Aware Boundary Sampling with Adaptive Class-Balanced Loss
- Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions
- Causal Modeling of Selection in Evolution
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- CASS-RTL: Correctness-Aware Subspace Steering for RTL Generation with LLMs
- Data Flow Control: Data Safety Policies for AI Agents
- Beyond Waveform Robustness: Robust Feature-Vocoder Adversarial Attacks on Automatic Speech Recognition
- Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning
- QueryAgent-R1: Bridging Query Generation and Product Retrieval for E-Commerce Query Recommendation
- V2V-Bench: A Comprehensive Benchmark for Video-to-Video Generation Evaluation
- Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments
- Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic Manipulation
- When Surface Form Changes Moderation Decisions: A Paired Study of Code-Mixed Workflow Instability
- CoFi-UCGen: Coarse-to-Fine Unsupervised Conditional Generation without Label Priors
- GS-NFS: Bandwidth-adaptive Streaming of Dynamic Gaussian Splats and Point Clouds
- Enhancing Software Engineering Through Closed-Loop Memory Optimization
- FIDES: Faithful Inference via Deep Evidence Signals for Retrieval-Memory Conflict in RAG
- Multi-Task Crack Foundation Model for Engineering-Reliable Crack Representation and Topology Preservation in Civil Infrastructure
- Q-GNN: Query-Conditioned Graph Neural Networks with Type Awareness for Knowledge Graph Completion
- StableRCA: Robust Graph-Agnostic Mechanism-Level Root Cause Analysis
- ShotCrop3: Cropping Human-Centric Images into Cinematic Triple-Shot Compositions
- Bootstrapping Semantic Layer from Execution for Text-to-SQL
- Evaluation of LLMs for Mathematical Formalization in Lean
- When New Generators Arrive: Lifelong Machine-Generated Text Attribution via Ridge Feature Transfer
- KV-Control: Parameter-Efficient K/V Injection for Trajectory-Controlled Text-to-Motion
- An ERP Study on Recursive Locative Processing in Mandarin-Speaking Children with Autism
- Uncovering Extreme Event Mechanisms for Prediction and Control with Sensitivity-Balanced Projections
- What's in a Name? Morphological Shortcuts by LLMs in Pharmacology
- Multilingual Fine-Tuning via Localized Gradient Conflict Resolution
- What's Under the Skin? Estimating Swine Body Condition
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- Cross-Epoch Adaptive Rollout Optimization for RL Post-Training
- From Prediction to Self: Developmental Conditions for Agency in Minimal Neural Systems
- Fix the Mind, Not the Move: Interpretable AI Assistance via Knowledge-Gap Localization
- Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations
- Auditing Demonstration Curation Metrics: Action-Only Scorers Fail on the Structural Defects That Degrade Imitation Policies
- HDST-GNN: Heterogeneous Dynamic Spatiotemporal Graph Neural Networks for Multi-Object Tracking in UAV Aerial Imagery
- BMCR: Adaptive Backbone Module Composition via Reinforcement Learning for Remote Sensing Object Detection
- Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding
- Monte Carlo Steklov Operators for Large-Scale Geometry Processing in the Wild
- Domain-Aware Mispronunciation Detection and Diagnosis Using Language-Specific Statistical Graphs
- ColBERTSaR: Sparsified ColBERT Index via Product Quantization
- Using Large Language Models to Support High Volume Application Review for an Undergraduate Research Program
- SoCRATES: Towards Reliable Automated Evaluation of Proactive LLM Mediation across Domains and Socio-cognitive Variations
- InfoShield: Privacy-Preserving Speech Representations for Mental Health Screening via Information-Theoretic Optimization
- Wasserstein Exponential Smoothing for Distributional Time Series Forecasting
- Field Validation of a Multi-Resolution ConvLSTM Framework for Retaining Wall Deformation Prediction
- ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time?
- Balancing Image Compression and Generation with Bootstrapped Tokenization
- Conformal Risk-Averse Decision Making with Action Conditional Guarantee
- Multilingual Detection of Alzheimer's Disease from Speech: A Cross-Linguistic Transfer Learning Approach
- Dual Feature Decoupling for Fine-Grained OOD Detection
- Noise-Aware Visual Representation Learning for Medical Visual Question Answering
- What Objects Enable, Not What They Are: Functional Latent Spaces for Affordance Reasoning
- Individual Gain, Collective Loss: Metacognitive Adaptation in AI-Assisted Creativity
- When Should We Protect AI? A Precautionary Framework for Consciousness Uncertainty