Papers
Thu 11 Jun 2026
493 papers
- Hallucination as a Feature, not a Defect: Evaluating a multi-agent architecture to transform speculative language-model outputs into testable scientific hypothesesLLM agents and tool use → Medical and scientific domain agents
- HarmProfile: Characterizing Harmful Distributions in Frontier LLMsLLM safety and security → Safety alignment, refusal and guardrails
- RSMeM: Knowledge-Enhanced Memory Evolution for Remote Sensing Agents with Systematic EvaluationLLM agents and tool use → Multimodal and embodied agents
- xMIx: High-Performance Serving-Time Platform for Mechanistic Interpretability AppsLLM safety and security → Safety alignment, refusal and guardrails +1
- Rethinking Uncertainty Evaluation in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Carolina Guide: A Multi-Agent RAG System with Institutional Guardrails for Academic Policy AssistanceRetrieval-augmented generation → Legal and financial RAG +1
- Human-like autonomy emerges from self-play and a pinch of human dataEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Performance Analysis and Optimization of 3D Generative Diffusion Models across GPU ArchitecturesDiffusion models → Diffusion foundations and sampling
- Knowledge-Based Zero-Replay Debugging of Multi-Agent LLM TracesLLM agents and tool use → Software engineering coding agents
- QPILOTS: Efficient Test-Time Q-Steering for Flow PoliciesDiffusion models → Diffusion and flow policies for robotics +1
- Position: The Systemic Lack of Agency in Visual ReasoningLLM reasoning → Multimodal reasoning +1
- Efficient Reinforcement for Visual-Textual Thinking with Discrete Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- XFlow: An Executable Protocol Programming System for Reliable Multi-Agent WorkflowsLLM agents and tool use → Software engineering coding agents
- Prompt2Effect: Training-Free Image-to-Video Model Specialization via LoRA GenerationDiffusion models → Video generation
- CaricHarmony: Contrastive Diffusion Paths for Identity-Preserving Caricature SynthesisDiffusion models → Image generation, text-to-image and editing
- Smoothing Dark Areas in Molecular Latent DiffusionDiffusion models → Flow matching, time series and science
- Minim: Privacy-Aware Minimal View for Agents via Trusted Local SanitizationLLM agents and tool use → Agent threats, guardrails and governance
- LatentDx: Latent Multi-Agent Communication for Cross-Hospital Rare-Disease DiagnosisLLM agents and tool use → Medical and scientific domain agents
- Self-Evolving Visual QuestionerMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- SANA: What Matters for QA Agents over Massive Data Lakes?LLM agents and tool use → Web, search, and research agents
- HiLo-Token: Input-Adaptive High-Low Frequency Token Compression for Efficient Image EditingEfficient LLM inference and serving → Visual token pruning in multimodal models
- TetraRL: A Self-Adaptive Runtime for On-Device Deep Reinforcement Learning SystemsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- PhysVLA: Towards Physically-Grounded VLA for Embodied Robotic ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA
- Capability Minimization as a Safety Primitive: Risk-Aware Causal Gating for Least-Privilege LLM AgentsLLM agents and tool use → Software engineering coding agents
- Guided Diffusion with Distilled Vision-Language Reliability for Aerial NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- AnyGoal: Vision-Language Guided Multi-Agent Exploration for Training-Free Lifelong NavigationLLM agents and tool use → Multimodal and embodied agents
- ContactWorld: What Representations Matter for Vision-Tactile Latent World Models in Contact-Rich ManipulationWorld models → Embodied and robot world models
- Natively Unlearnable Large Language ModelsLLM safety and security → Machine unlearning
- Mirage Probes: How Vision Models Fake Visual UnderstandingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SuperThoughts: Reasoning Tokens in SuperpositionLLM reasoning → Test-time compute and efficient thinking +1
- Temporal Backtracking Search for Test-time Generative Video ReasoningLLM reasoning → Multimodal reasoning
- Output-Level Regularization Eliminates the Seed Lottery in Single-GPU VLA Fine-TuningVision-language-action models → Efficient VLA inference and adaptation
- Multi-Agent Embodied Autonomous Driving (MAEAD): From V2X Information Exchange to Shared World ModelsWorld models → World models for autonomous driving +1
- When Plausible Is Not Realistic: Evaluating Human Mobility in LLM-Based Urban SimulationLLM agents and tool use → Multimodal and embodied agents
- FlowMo-WM: A World Model with Object Momentum and Hidden Ambient DriftWorld models → Embodied and robot world models
- Poker Arena: Multi-Axis Profiling of Strategic Reasoning and Memory in LLMsLLM reasoning → Reasoning for agents, planning and code
- TASR: Training-Free Adaptive Stopping for Iterative RetrievalRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral CharacterizationDiffusion models → Diffusion foundations and sampling +1
- DiPOD: Diffusion Policy Optimization without Drifting ApartDiffusion models → Diffusion and flow policies for robotics +1
- μ0: A Scalable 3D Interaction-Trace World ModelWorld models → Embodied and robot world models
- Do programming languages still matter to your AI coding agent teammate? Evidence at scale from chess enginesLLM agents and tool use → Software engineering coding agents
- SEVRA-BENCH: Social Engineering of Vulnerabilities in Review AgentsLLM agents and tool use → Software engineering coding agents
- Position: Align AI to Our Aspirations, Not Our FlawsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Which Models Perform Better in Inheritance Reasoning?LLM reasoning → Reasoning for agents, planning and code
- Large Language Models as Supervised Extraction Assistants: Lowering the Barrier to Documentation Standard Adoption in Agent-Based ModellingLLM agents and tool use → Web, search, and research agents
- Efficient On-Device Diffusion LLM Inference with Mobile NPUEfficient LLM inference and serving → Diffusion LLM and MoE inference
- FreoStream:Enhancing Stream Guardrails via Future-Aware Reasoning and Safety-Aligned OptimizationLLM safety and security → Jailbreaking
- When Sample Selection Bias Precipitates Model CollapseSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- TwinBI: An Agentic Digital Twin for Efficient Augmented Interactions with Business Intelligence DashboardsLLM agents and tool use → Web, search, and research agents
- YeasierAgent: Agentic Social Sandbox as a Canvas for Intent-Driven Creation of Platform-Agnostic Symbiotic Agent-Native ApplicationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic EnvironmentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-TuningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- InterleaveThinker: Reinforcing Agentic Interleaved GenerationLLM agents and tool use → Multimodal and embodied agents
- Improving Robotic Generalist Policies via Flow Reversal SteeringVision-language-action models → Reinforcement learning and post-training
- RepWAM: World Action Modeling with Representation Visual-Action TokenizersWorld models → Embodied and robot world models
- SpatialClaw: Rethinking Action Interface for Agentic Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +2
- WEAVER, Better, Faster, Longer: An Effective World Model for Robotic ManipulationWorld models → Embodied and robot world models
- Agents-K1: Towards Agent-native Knowledge OrchestrationLLM agents and tool use → Web, search, and research agents
- HyperTool: Beyond Step-Wise Tool Calls for Tool-Augmented AgentsLLM reasoning → Reasoning for agents, planning and code +1
- EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific DiscoveryLLM agents and tool use → Web, search, and research agents
- Dense Supervision, Sparse Updates: On the Sparsity and Geometry of On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Flex4DHuman: Flexible Multi-view Video Diffusion for 4D Human ReconstructionDiffusion models → 3D, point cloud and scene generation
- World Tracing: Generative Pixel-Aligned Geometry Beyond the VisibleDiffusion models → 3D, point cloud and scene generation
- Operadic consistency: a label-free signal for compositional reasoning failures in LLMsLLM reasoning → Test-time compute and efficient thinking
- Recursive Agent HarnessesLLM agents and tool use → Software engineering coding agents
- Operads for compositional reasoning in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Valid Inference with Synthetic Data via Task ExchangeabilitySynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Beyond Uniform Tokens: Adaptive Compression for Time Series Language ModelsEfficient LLM inference and serving → Prompt and context compression
- AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and ReproducibilityLLM agents and tool use → General LLM agent frameworks and benchmarks
- Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday ReasoningWorld models → World models for language agents +1
- Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Beyond the Commitment Boundary: Probing Epiphenomenal Chain-of-Thought in Large Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- EpiBench: Verifiable Evaluation of AI Agents on Epigenomics AnalysisLLM agents and tool use → Medical and scientific domain agents
- Reward Modeling for Multi-Agent OrchestrationLLM reasoning → Reasoning for agents, planning and code +2
- Confidence Composition for Multiagent Language Model SystemsLLM reasoning → Reasoning for agents, planning and code
- LabVLA: Grounding Vision-Language-Action Models in Scientific LaboratoriesVision-language-action models → Generalist VLA models and benchmarks
- ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic LanguagesLLM reasoning → Clinical and biomedical applications +2
- A2D2: Fine-Tuning Any-Length Discrete Diffusion for Adaptive DecodingDiffusion models → Discrete and text diffusion
- Uncertainty-Aware Hybrid Retrieval for Long-Document RAGRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Adaptive Turn-Taking for Real-time Multi-Party Voice AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- MaskWAM: Unifying Mask Prompting and Prediction for World-Action ModelsWorld models → Embodied and robot world models
- GF-DiT: Scheduling Parallelism for Diffusion Transformer ServingDiffusion models → Diffusion foundations and sampling
- Budget-Constrained Step-Level Diffusion CachingDiffusion models → Diffusion foundations and sampling
- NavWAM: A Navigation World Action Model for Goal-Conditioned Visual NavigationWorld models → World models for navigation
- Exploring Systems-Thinking Approaches to Loss of Control RiskLLM agents and tool use → Agent threats, guardrails and governance
- MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time ScalingLLM reasoning → Mathematical reasoning
- Understanding the Rejection of Fixes Generated by Agentic Pull Requests -- Insights from the AIDev DatasetLLM agents and tool use → Software engineering coding agents
- Reinforcement Learning for Neural Model EditingLLM safety and security → Machine unlearning +1
- VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World ModelsWorld models → World models for autonomous driving
- Uncertainty Estimation for Molecular Diffusion ModelsDiffusion models → Flow matching, time series and science
- Toward Instructions-as-Code: Understanding the Impact of Instruction Files on Agentic Pull RequestsLLM agents and tool use → Software engineering coding agents
- CQC-RAG: Robust Retrieval-Augmented Generation via Cross-Query ConsistencyRetrieval-augmented generation → RAG robustness and adaptive retrieval
- GIVE: Grounding Human Gestures in Vision-Language-Action ModelsVision-language-action models → Generalist VLA models and benchmarks
- Accelerating Speculative Diffusions via Block VerificationEfficient LLM inference and serving → Speculative decoding
- Neuro-Symbolic Agents for Regulated Process Automation: Challenges and Research AgendaLLM agents and tool use → General LLM agent frameworks and benchmarks
- PolyFlow: Safe and Efficient Polytope-Constrained Flow Matching with Constraint Embedding and Projection-free UpdateDiffusion models → Flow matching, time series and science
- MiniMax Sparse AttentionLLM reasoning → Test-time compute and efficient thinking
- Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- MoVerse: Real-Time Video World Modeling with Panoramic Gaussian ScaffoldWorld models → Video-generation world models and simulators
- Real-Time Execution with Autoregressive PoliciesVision-language-action models → Efficient VLA inference and adaptation +1
All 493
- From Passive Generation to Investigation: A Proactive Scientific Peer Review AgentLLM agents and tool use → Web, search, and research agents
- Enhanced Low-Density Region Exploration in Classifier-Guided Diffusion Models Through Modified Reverse Diffusion SamplingDiffusion models → Diffusion foundations and sampling
- SkillCAT: Contrastive, Assessment-Augmented and Topology-AwareSkill Self-Evolution for LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- ReSum: Synergizing LLM Reasoning and Summarization with Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- ReFree: Towards Realistic Co-Speech Video Generation via Reward-Free RL and Multilevel Speech GuidanceDiffusion models → Audio, speech and music
- Mining Architectural Quality Under Agentic AI Adoption: A Causal Study of Java RepositoriesLLM agents and tool use → Software engineering coding agents
- Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic CompositionalityMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- See Selectively, Act Adaptively: Dual-Level Structural Decomposition for Bimanual Robot ManipulationVision-language-action models → Human-video and latent-action pretraining
- TimeLens: On-Device Artifact Recognition with Retrieval-Augmented Question Answering for the Grand Egyptian MuseumRetrieval-augmented generation → Multimodal RAG
- From Verdict to Process: Agentic Reinforcement Learning for Multi-Stage Fact VerificationLLM reasoning → Reinforcement learning for reasoning +2
- Multi-Field Hybrid Retrieval-Augmented Generation for Maritime Accident Root Cause AnalysisRetrieval-augmented generation → Legal and financial RAG
- EPIG: Emotion-Based Prompting for Personalised Image GenerationDiffusion models → Audio, speech and music
- Towards More General Control of Diffusion Models Using Jeffrey GuidanceDiffusion models → Diffusion foundations and sampling
- ComAct: Reframing Professional Software Manipulation via COM-as-Action ParadigmLLM agents and tool use → GUI and mobile agents
- ReSET: Accurate Latency-Critical NVFP4 Reasoning via Step-Aware Temperature ScalingLLM reasoning → Test-time compute and efficient thinking
- PolyAlign: Conditional Human-Distribution AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- LLM-as-an-Investigator: Evidence-First Reasoning for Robust Interactive Problem DiagnosisLLM reasoning → Reasoning for agents, planning and code
- Understanding helpfulness and harmless tension in reward modelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- ARMOR-MAD: Adaptive Routing for Heterogeneous Multi-Agent Debate in Large Language Model ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Reasoning for Mobile User Experience with Multimodal LLMs: Task, Benchmark, and ApproachLLM reasoning → Multimodal reasoning +1
- The Geometry of Phase Transitions in Generative Dynamics via Projection CausticsDiffusion models → Diffusion foundations and sampling
- Multi-Modal Multi-Agent Robotic Cognitive Alignment enabled by Non-Invasive Consumer Brain Computer Interfaces: A Proof of Concept ExplorationLLM agents and tool use → Multimodal and embodied agents
- MemRefine: LLM-Guided Compression for Long-Term Agent MemoryLLM agents and tool use → Agent memory systems
- Mental-R1: Aligning LLM Reasoning for Mental Health AssessmentLLM reasoning → Clinical and biomedical applications
- The End of Code Review: Coding Agents Supersede Human InspectionLLM agents and tool use → Software engineering coding agents
- Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding AgentsLLM agents and tool use → Software engineering coding agents
- NTS-CoT: Mitigating Hallucinations in LLM-based News Timeline Summarization with Chain-of-Thought ReasoningLLM reasoning → Hallucination detection and mitigation
- Redesigning Regularization for Effective Policy SmoothingDeep reinforcement learning methods → RL theory and sample complexity
- Iterative Visual Thinking and the Self-Correction Mirage in VLM GroundingLLM reasoning → Spatial and embodied reasoning +1
- TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data?LLM reasoning → Spatial and embodied reasoning +1
- Rethinking RAG in Long Videos: What to Retrieve and How to Use It?Retrieval-augmented generation → Multimodal RAG
- MiniPIC: Flexible Position-Independent Caching in <100LOCRetrieval-augmented generation → Generation and context integration +2
- EvoBrowseComp: Benchmarking Search Agents on Evolving KnowledgeLLM agents and tool use → Web, search, and research agents
- G-Long: Graph-Enhanced Memory Management for Efficient Long-Term Dialogue AgentsLLM agents and tool use → Agent memory systems
- PP-OCRv6: From 1.5M to 34.5M Parameters, Surpassing Billion-Scale VLMs on OCR TasksMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking
- Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied AgentsLLM agents and tool use → Multimodal and embodied agents
- Certified World Models: Predictability Across Configuration, Horizon, and ResolutionWorld models → Latent predictive world models
- α-fair heterogeneous agent reinforcement learningDeep reinforcement learning methods → RL for games and combinatorial optimization
- LaME: Learning to Think in Latent Space for Multimodal Embedding via Information BottleneckLLM reasoning → Multimodal reasoning
- TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training QuantizationEfficient LLM inference and serving → KV cache quantization
- EV-WM: Event-Verified World Models for Long-Horizon Robotic ManipulationWorld models → Embodied and robot world models
- Y-BotFrame: An Extensible Embodied Agent Framework for Quadruped Robot AssistantsLLM agents and tool use → Multimodal and embodied agents
- No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only RevisionsLLM safety and security → Prompt injection and agent security
- RoboProcessBench: Benchmarking Process-Aware Understanding in Vision-Language Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Nous: An Attempt to Extract and Inject the Cognition Behind Prediction-Market BehaviorLLM agents and tool use → Financial trading and forecasting agents
- TetherCache: Stabilizing Autoregressive Long-Form Video Generation with Gated Recall and Trusted AlignmentDiffusion models → Video generation
- SciR: A Controllable Benchmark for Scientific Reasoning in LLMsLLM reasoning → Knowledge- and tool-augmented reasoning
- Reliability of Probabilistic Emulation of Physical SystemsDiffusion models → Flow matching, time series and science
- Diffusion Transformer World-Action Model for AV Scene PredictionWorld models → Video-generation world models and simulators +1
- The Rise of AI-Native Software Engineering: Implications for Practice, Education, and the Future WorkforceLLM agents and tool use → Software engineering coding agents
- EPM-JEPA: Operator-Side Experience Modulation in JEPA-Family World ModelsWorld models → Latent predictive world models
- Trajectory-Level Redirection Attacks on Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks
- Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Multi-Modal Agents for Power Distribution Defect Detection: An Evaluation of Foundation ModelsLLM agents and tool use → Financial trading and forecasting agents
- EmbodiSteer: Steering Embodiment-Agnostic Visuomotor Policies with Joint-Space Guidance for Zero-Shot Cross-Embodiment DeploymentOffline RL and imitation learning from data → Robot manipulation imitation learning
- SERF: Spatiotemporal Environment and Robot Feature Map for Long-Horizon Mobile ManipulationVision-language-action models → 3D and spatial-aware VLA
- OpenMedQ: Broad Open Pretraining for Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Learning What to Remember: A Cognitively Grounded Multi-Factor Value Model for Agentic MemoryLLM agents and tool use → Agent memory systems
- PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation InternalizationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Multi-Turn Reasoning When Context Arrives in Pieces: Scalable Sharding and Memory-Augmented RLLLM reasoning → Reasoning for agents, planning and code
- MARS: Margin-Adversarial Risk-controlled Stopping for Parallel LLM Test-time ScalingLLM reasoning → Test-time compute and efficient thinking
- Multi-Label Test-Time Adaptation with Bayesian Conditional PriorsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Iterating Toward Better Search: A Two-Agent Simulation Framework for Evaluating Agentic Search Architectures in E-CommerceLLM agents and tool use → Social simulation and multi-agent debate
- MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent SystemsLLM safety and security → Prompt injection and agent security
- Where Computation Lives Inside TabPFN: Causal Localisation of Attention Head FunctionMechanistic interpretability → Circuits and mechanistic analysis
- MDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator FeedbackLLM agents and tool use → Medical and scientific domain agents
- SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- X-MADAM-RAG: Diagnosing and Handling Chinese-English Evidence Conflict in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- PRISM: Prosody-Integrated Multi-Agent Reasoning Framework for Empathetic Spoken DialogueLLM reasoning → Audio-language model reasoning +1
- Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text ComprehensionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- PolicyGuard: Towards Test-time and Step-level Adversary (Backdoor) Defense for Reinforcement Learning AgentLLM safety and security → Prompt injection and agent security +1
- Learning to Adapt: Representation-Based Reinforcement Learning for Multi-Task Skill TransferDeep reinforcement learning methods → RL for robot navigation and UAV control
- HarnessBridge: Learnable Bidirectional Controller for LLM Agent HarnessLLM agents and tool use → Software engineering coding agents
- Direct Preference Optimization for Chatbot Fine-Tuning: An Empirical StudyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Randomized Optimal Switching Problem and Related Mirror Descent FlowDeep reinforcement learning methods → RL theory and sample complexity
- DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search TasksLLM agents and tool use → Web, search, and research agents
- WISE: A Long-Horizon Agent in Minecraft with Why-Which ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Language-Guided Abstraction for Visual ReasoningLLM reasoning → Multimodal reasoning
- TimeROME-DLM: Temporal Causal Tracing and Low-Rank Inference-Time Knowledge Editing for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at ScaleLLM agents and tool use → General LLM agent frameworks and benchmarks
- Fantastic Scientific Agents and How to Build Them: AgentBuild for Rietveld RefinementLLM agents and tool use → Web, search, and research agents
- Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +2
- Topical Phase Transitions in Artificial Intelligence Research: Large-Scale Evidence and an Early-Warning Signature for Emerging TopicsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- GeoNatureAgent Benchmark: Benchmarking LLM Agents for Environmental Geospatial Analysis Across Frontier and Open-Weight Foundation ModelsLLM agents and tool use → Multimodal and embodied agents
- GUITrans2Act: Understanding User Operational Behaviors from Mobile GUI Interactions with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Graph Reinforcement Learning for Calibration-Aware Quantum Circuit RoutingDeep reinforcement learning methods → Quantum reinforcement learning
- Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for HumanoidsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Exploring How Agent Voice Accents Shape Human-AI Collaboration in K-12 Group LearningLLM agents and tool use → Social simulation and multi-agent debate
- The Containment Gap: How Deployed Agentic AI Frameworks Fail Public-Facing Safety RequirementsLLM agents and tool use → Agent threats, guardrails and governance
- How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- A Tutorial on World Models and Physical AIWorld models → World models for language agents
- ProPlay: Procedural World Models for Self-Evolving LLM AgentsWorld models → World models for language agents +2
- Agentic MPC for Semantic Control System ResynthesisLLM agents and tool use → Multimodal and embodied agents
- Intercepting the Kangaroo: Experimental Astrolinguistics with Constructed Lexicons, Active Probing, and Large Language Models as Informants and Hypothesis Proposers
- PhantomFill: When the Form Demands an Answer, Language Models Invent One
- A Safety-First Gateway Architecture for Trusted Public Health Resource Navigation
- CalBrief: A Pilot Diagnostic Benchmark for Evidence-Calibrated Scientific Briefing with Large Language Models
- Event-Aligned Analysis of Multi-Rater Pain Assessments Using Continuous Wearable Physiology
- Robust Auto-associative Memory via Convolutional Restricted Hopfield Networks
- cAPM: Continual AI-Assisted Pace-Mapping with Active Learning
- Full-Self Diagnostics (FSD): Physics-Grounded Visual Biomarker Inference from Smartphone Video via Inverse Problems and Operator Learning
- ProMUSE: Progressive Multi-modal Uncertainty-guided Staged Evidential Alzheimer Disease Classification
- Zero-Inflated Gaussian Distributions Enable Parameter-Space Sparsity in Estimation-of-Distribution Algorithms
- Neural Architectures as Functional Priors in Physics-Informed Control Problems
- Weibull Weight-Scale Parameter Evolution under AdamW Training Dynamics
- Information Lattice Learning as Probabilistic Graphical Model Structure Learning
- Two-Stage Fine-Tuning of ResNet50 for High-Sensitivity Melanoma Detection on Dermoscopic Images
- The Price of Anarchy in Disaggregated Inference
- HRDX: A Large-Scale Vector HD-Map Dataset
- HSQ-VLM: A Novel Spatially-Constrained Quadrant Segmentation VLM Model for Explainability in Diabetic Retinopathy
- Bridging data-driven priors via the score function for posterior sampling -- Comparative review and experimental study
- From Physics to Representation: Audio Learning with Synthetic Pre-training via Procedural Generation
- Classification of Astronomical Spectra Using PCA-Compressed Flux and Inverse-Variance Features
- Creative Integration: A Decidable Criterion of Creativity
- An Attention-based Model for Robust Forecasting with Missing Modality
- STREAM: Multi-Tier LLM Inference Middleware with Dual-Channel HPC Token Streaming
- The Silent Cost of Artificial Intelligence Assistance: A Theory of Autonomy Surrender, the Recovery Mechanism, and the Restoration of Human Agency
- Can Machine Learning Forecast Rice Yields in Data-Constrained Settings? Satellite Climate Data, National Crop Statistics, and Lessons from Sierra Leone
- High-Fidelity Video Compression based on Invertible Neural Transform and Implicit Conditioning
- Side-Channel Attacks Survive Noise Cancellation in 3D Printers
- LLMs Contain Multitudes: How Deployment Context Reshapes Model-Level Preferences and Values
- Binary Black Hole Parameter Estimation with Hybrid CNN-Transformer Neural Networks
- Can Post-Training Turn LLMs into Good Medical Coders? An Empirical Study of Generative ICD Coding
- Adversarial Concept Search: Predicting Compositional Errors From Feature Geometry
- DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation
- Sorries Are Not the Hard Part: An Expert-Review Case Study of a Semi-Autonomous Formalization
- GMN4AD: Graph Matching Network for Alzheimer's Disease Diagnosis with Test-Time Domain Adaptation using Multi-centered Structure Magnetic Resonance Imaging
- A Multi-Agent AI System for Automated High School Transcript Processing: Collaborative Document Analysis at Scale
- Low-variance estimators overcome the phase-gradient bottleneck in complex-valued neural quantum states
- Overhead Wildlife Locator (OWL): Benchmarking Weakly Supervised Learning for Aerial Wildlife Surveys
- PMOF: A Dataset and Benchmark for Passenger Monitoring Using Overhead Fisheye Cameras
- ADORE: Iterative Query Expansion with Retrieval-Grounded Relevance Feedback
- SpikF-GO: Spiking Fourier Graph Operators for Multivariate Time Series Forecasting
- How do Self-Supervised Remote Sensing Vision Models Transfer to Downstream Tasks?
- Gefen: Optimized Stochastic Optimizer
- Crypto x AI, AI x Crypto: A Survey
- A Longitudinal Attribute-Conditioned Neural Network for Modeling Health-State Transition Probabilities in Temporally Irregular Data: The LANTERN Framework
- Avatar V: Scaling Video-Reference Avatar Video Generation
- Hyperdimensional computing for structured querying on tabular data embeddings
- Multi-Variable Stellar Parameter Estimation Using Residual Multitask Neural Networks
- Muonp: Muon with Fractional Spectral Powers
- Closed-loop discovery of out-of-distribution processing protocols by evolutionary search and uncertainty-aware learning
- Mood-Aware Music Recommendation: Integrating User Affective Signals into Ranking Systems
- SpheriCity: Designing Trustworthy Conversational AI for Sustainability Decision Support
- Hybrid Classical-Quantum Variational Autoencoder for Neural Topic Modeling
- Controller-Augmented Hidden Markov Models: A Computational Framework for Constrained Sequential Inference
- Temporally Consistent Graph Q-Networks for Intelligent Network Control
- Explaining RhythmFormer: A Systematic XAI Analysis of Periodic Sparse Attention for Remote Photoplethysmography
- Safety-Contract Graph Multi-Agent Reinforcement Learning for Autonomous Network Security Response
- AI can help scientists publish less
- Approximating Gaussian Whittle-Matern Fields over Well-Centered Triangulations of Riemannian Manifolds
- Scalable Deep Unfolding of Conic Optimizers
- A Stationarity-and-Coupling Criterion for Training-Free Time-Lagged Spectral Embeddings of Multivariate Time Series
- Attention-Based Estimation of the Individual Treatment Benefit Probability under Dose Variation
- Uncertainty Estimation and Generalization Bounds for Modern Deep Learning
- Aligning Quantum Operators with Large Language Models
- Compressing Image Style Training into a Single Model Forward
- The Culture Funnel: You Can't Align What isn't in the Data
- Neural Slack Variables for Shape Constraints
- A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets
- Neural Variability Enhances Artificial Network Robustness
- The Program Is Still There: A Conservation Law for Program Discovery
- An integrated interpretable control effectiveness learning and nonlinear control allocation methodology for overactuated aircrafts
- MA-ProofBench: A Two-Tiered Evaluation of LLMs for Theorem Proving in Mathematical Analysis
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