Papers
Tue 9 Jun 2026
521 papers
- Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated TextLLM safety and security → Watermarking generated content and models
- FinSkillBench: Evaluating AI Agents and Domain Skills for Investment ManagementLLM agents and tool use → Financial trading and forecasting agents
- Fractional Decay KV-Cache: Ownership-Aware Memory Management for Improved Inference Relevancy in Dialog SystemsEfficient LLM inference and serving → KV cache optimization
- Evaluating XAI Support From A Hierarchical Reinforcement Learning Policy in Human-Agent CollaborationDeep reinforcement learning methods → Interpretable and logic-guided RL
- ProcAgent: An Agentic Framework for Procedural Task Guidance on Edge with Human-in-the-LoopLLM agents and tool use → Multimodal and embodied agents
- MM-ShiftKV: Decode-Aware Prefill-Stage KV Selection for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Geometry-Guided Constraint Learning for LLM Safety ClassificationLLM safety and security → Safety alignment, refusal and guardrails +1
- How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- From Knowing to Acting: Benchmarking Self-Awareness Capability of LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Skill Coverage: A Test Adequacy Metric for Agent SkillsLLM agents and tool use → Agent skill learning and evolution
- Agentomics: Economic Foundations for the Valuation, Attribution, and Pricing of AI Agents in Human-AI WorkflowsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Identifiability Without Gaussianity: Symbolic World Models and Near-Infinite Temporal ConsistencyWorld models → Latent predictive world models
- Influence Factors on RAG PoisoningRetrieval-augmented generation → Privacy and security of RAG
- Search Discipline for Long-Horizon Research AgentsLLM agents and tool use → Web, search, and research agents
- Counterexample Guided Learning in the Large using Reasoning AgentsLLM reasoning → Reasoning benchmarks and evaluation +1
- ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent TrajectoriesLLM agents and tool use → Tool learning and function calling
- SAGE: Answer-Conditioned Uncertainty Targets for Verbal Uncertainty AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- FlexiBrain: Resolution-Agnostic Voxel-Level Encoding for Native fMRIState-space sequence models (S4, Mamba) → Physiological signal modeling
- Building Social World Models with Large Language ModelsWorld models → World models for language agents
- The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure ModesLLM reasoning → Reasoning benchmarks and evaluation +1
- AI Coding Agents in Social Science: Methodologically Diverse, Empirically Consistent, Interpretively VulnerableLLM agents and tool use → Social simulation and multi-agent debate
- AI Coding Agents Can Reproduce Social Science FindingsLLM agents and tool use → Web, search, and research agents
- INFRAMIND: Infrastructure-Aware Multi-Agent OrchestrationLLM agents and tool use → Software engineering coding agents
- Agent Skill Evaluation and Evolution: Frameworks and BenchmarksLLM agents and tool use → Agent skill learning and evolution
- JailbreakOPT: Tool-Assisted Iterative Jailbreak Prompt OptimizationLLM safety and security → Jailbreaking
- Risk Under Pressure: Compute-Aware Evaluation of Adversarial Robustness in Language ModelsLLM safety and security → Jailbreaking
- Steering Where to Listen: Instruction-Based Activation Steering Redirects Temporal Attention in Large Audio-Language ModelsMechanistic interpretability → Activation steering methods
- PLUME: Probabilistic Latent Unified World Modeling and Parameter Estimation for Multi-Finger ManipulationWorld models → Embodied and robot world models
- Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation SteeringMechanistic interpretability → Activation steering methods
- DeceptionX: From Multimodal Evidence to Explainable Deception DetectionLLM reasoning → Prompting and chain-of-thought reasoning
- When More Documents Hurt RAG: Mitigating Vector Search Dilution with Domain-Scoped, Model-Agnostic RetrievalRetrieval-augmented generation → RAG pipeline design and evaluation
- Knowing When to Ask: Self-Gated Clarification for Hierarchical Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation ModelsLLM reasoning → Spatial and embodied reasoning
- Sch"utzen: Evaluating LLM Safety in Bulgarian and German ContextsLLM safety and security → Safety alignment, refusal and guardrails
- FlowBank: Query-Adaptive Agentic Workflows Optimization through Precompute-and-ReuseLLM agents and tool use → Software engineering coding agents
- i1: A Simple and Fully Open Recipe for Strong Text-to-Image ModelsDiffusion models → Image generation, text-to-image and editing
- Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated EquilibriaDeep reinforcement learning methods → RL for games and combinatorial optimization
- Least-Action-Guided Diffusion for Physical ExtrapolationDiffusion models → Flow matching, time series and science
- Seeing Before Colliding: Anticipatory Safe RL with Frozen Vision-Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- When Poison Fails After Retrieval: Revisiting Corpus Poisoning under Chunking and Reranking PipelinesRetrieval-augmented generation → Privacy and security of RAG
- RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded BenchmarkLLM reasoning → Audio-language model reasoning
- Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X EliteRetrieval-augmented generation → RAG pipeline design and evaluation
- ARM: An AutoRegressive Large Multimodal Model with Unified Discrete RepresentationsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Next Forcing: Causal World Modeling with Multi-Chunk PredictionWorld models → Video-generation world models and simulators
- TacForeSight: Force-Guided Tactile World Model for Contact-Rich ManipulationWorld models → Embodied and robot world models
- EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Lip Forcing: Few-Step Autoregressive Diffusion for Real-time Lip SynchronizationDiffusion models → Audio, speech and music
- The Role of Feedback Alignment in Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Predicting Future Behaviors in Reasoning Models Enables Better SteeringLLM reasoning → Test-time compute and efficient thinking
- ReasonAlloc: Hierarchical Decoding-Time KV Cache Budget Allocation for Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Mean Flow Distillation: Robust and Stable Distillation for Flow Matching ModelsDiffusion models → Flow matching, time series and science
- P3D-Bench: Benchmarking MLLMs for Parametric 3D Generation and Structural ReasoningLLM reasoning → Spatial and embodied reasoning +1
- ABC-Bench: An Agentic Bio-Capabilities Benchmark for BiosecurityLLM agents and tool use → Medical and scientific domain agents
- Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniquesDiffusion models → Flow matching, time series and science
- WorldOlympiad: Can Your World Model Survive a Triathlon?World models → Video-generation world models and simulators
- Provenance-Grounded Gating and Adaptive Recovery in Synthetic Post-Training Data CurationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Monte Carlo Pass Search: Using Trajectory Generation for 3D Counterfactual Pass Evaluation in FootballWorld models → World models for autonomous driving
- TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- RoboNaldo: Accurate, Stable and Powerful Humanoid Soccer Shooting via Motion-Guided Curriculum Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Test-Time Gradient Guidance of Flow Policies in Reinforcement LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL +1
- The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- A History-Aware Visually Grounded Critic for Computer Use AgentsLLM agents and tool use → GUI and mobile agents
- Exploring the Design Space of Reward Backpropagation for Flow MatchingDiffusion models → Diffusion and flow policies for robotics +1
- Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- T1-Bench: Benchmarking Multi-Scenario Agents in Real-World DomainsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix ItLLM reasoning → Test-time compute and efficient thinking
- Does Reasoning Preserve Alignment? On the Trustworthiness of Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- What Fits (Into Few Tokens) Doesn't Overfit: Compression and Generalization in ML Research AgentsLLM agents and tool use → Agent memory systems
- Workflow-GYM: Towards Long-Horizon Evaluation of Computer-use Agentic tasks in Real-World Professional FieldsLLM agents and tool use → GUI and mobile agents
- Flow-DPPO: Divergence Proximal Policy Optimization for Flow Matching ModelsDiffusion models → Diffusion and flow policies for robotics +1
- Diffusion Forcing Planner: History-Annealed Planning with Time-Dependent Guidance for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Null-Space Constrained Low-Rank Adaptation for Response-Specified Large Language Model UnlearningLLM safety and security → Machine unlearning
- Language-Driven Cost Optimization for Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
- Beyond Uniform Token-Level Trust Region in LLM Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- WorldKernel: A World Model is the Coupling Kernel of Admissible Possible WorldsWorld models → World models for language agents
- Frontier Coding Agents Use Metaprogramming to Adapt to Unfamiliar Programming LanguagesLLM agents and tool use → Software engineering coding agents
- It Takes One to Bias Them All: Breaking Bad with One-Shot GRPOLLM reasoning → Reinforcement learning for reasoning
- Recoverable but Not Stationary:Local Linear Structures in Weights and ActivationsMechanistic interpretability → Circuits and mechanistic analysis
- AllDayNav: Lifelong Navigation via Real-World Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Trace Only What You Need: Structure-Aware On-Demand Hypergraph Memory for Long-Document Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Role-Agent: Bootstrapping LLM Agents via Dual-Role EvolutionLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and ActivationLLM agents and tool use → Tool learning and function calling
- LIBERO-Occ: Evaluating and Improving Vision-Language-Action Models under Scene-Induced Occlusion via Viewpoint ImaginationVision-language-action models → Failure recovery and robustness
- Training LLMs to Enforce Multi-Level Instruction Hierarchies via Gravity-Weighted Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- An Exposure-Time-Aligned Primary-Path Architecture for Autonomous-Driving ECUsEnd-to-end autonomous driving → End-to-end system architecture
- Securing Code Understanding: Detecting Natural Backdoor Vulnerability in Code Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- Geometrically Averaged Hard Target Updates for Linear Q-LearningDeep reinforcement learning methods → RL theory and sample complexity
- Do VLMs Reason Like Engineers? A Benchmark and a Stage-wise EvaluationLLM reasoning → Multimodal reasoning +1
- GUIDE: Goal-Initialized Directional Understanding for End-to-End Legged NavigationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Attention-Discounted Adaptive Sampler for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- MODIP: Efficient Model-Based Optimization for Diffusion PoliciesDiffusion models → Diffusion and flow policies for robotics +1
- Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and TasksLLM reasoning → Spatial and embodied reasoning +1
- RedAct: Redacting Agent Capability Traces for Procedural Skill ProtectionLLM safety and security → Prompt injection and agent security
- Beyond APIs: Probing the Limits of MLLMs in Physical Tool UseMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Dep-LLM: Training-Free Depression Diagnosis via Evidence-Guided Structured Multi-factor with Reliable LLM ReasoningLLM reasoning → Clinical and biomedical applications
- On-sky demonstration of reinforcement learning for adaptive optics controlDeep reinforcement learning methods → RL for robot navigation and UAV control
- N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- miniReranker: Efficient Multimodal Reranking through Visual Cache Reuse and Interaction SparsityMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- AutoPDE: Reliable Agentic PDE Solving via Explicitly Represented Solver StrategiesLLM agents and tool use → Web, search, and research agents
- Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and EvaluationLLM agents and tool use → Agent threats, guardrails and governance
All 521
- The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent MisalignmentLLM agents and tool use → General LLM agent frameworks and benchmarks
- Hand-centric Human-to-Robot Trajectory Transfer from Video Demonstrations via Object Category-agnostic Temporal LocalizationOffline RL and imitation learning from data → Robot manipulation imitation learning
- MemVenom: Triggered Poisoning of Multimodal Memories in Web AgentsLLM agents and tool use → Agent threats, guardrails and governance
- When the Chain of Thought Knows Better: Failure Modes in Multi-Turn Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code
- Spatial-Omni: Spatial Audio Understanding Integration in Multimodal LLMs via FOA EncodingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- The Agentic Web Requires New Normative InfrastructureLLM agents and tool use → General LLM agent frameworks and benchmarks
- Effective Reinforcement Learning for Agentic Search by Recycling Zero-Variance Queries During TrainingLLM reasoning → Reinforcement learning for reasoning +1
- Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor FabricationDeep reinforcement learning methods → RL for energy, networks and operations
- From Observation to Intervention: A Causal Audit of Expert Importance in Mixture-of-Experts ModelsMixture-of-experts → Expert routing strategies
- Watts and Debts of Agentic Frameworks: An Empirical Study (Registered Report)LLM agents and tool use → Software engineering coding agents
- REAL: A Reasoning-Enhanced Graph Framework for Long-Term Memory Management of LLMsLLM reasoning → Reasoning for agents, planning and code
- Self-Supervised Relevance Modelling in Autonomous Driving via Counterfactual AnalysisEnd-to-end autonomous driving → End-to-end system architecture
- Divide and Cooperate: Role-Decomposed Multi-Agent LLM Training with Cross-Agent Learning SignalsLLM agents and tool use → Web, search, and research agents
- Infini Memory: Maintainable Topic Documents for Long-Term LLM Agent MemoryLLM agents and tool use → Agent memory systems
- FadeMem: Distance-Aware Memory Consolidation for Autoregressive Video DiffusionDiffusion models → Video generation +1
- Decentralized Multi-Agent Systems with Shared ContextLLM reasoning → Reasoning for agents, planning and code +1
- STEDiff: Strengthening Text Embedding for Text-to-Image Alignment in Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Kwai Keye-VL-2.0 Technical ReportLLM agents and tool use → Multimodal and embodied agents +2
- How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMsLLM reasoning → Test-time compute and efficient thinking
- Can Image Models Imagine Time? ImageTime: A Novel Benchmark for Probing Visual World Modeling Through Spatiotemporal ConsistencyWorld models → Video-generation world models and simulators
- SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language AgentsLLM reasoning → Reasoning for agents, planning and code
- Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- GaussTrace: Provenance Analysis of 3D Gaussian Splatting Models with Evidence-based LLM ReasoningLLM reasoning → Spatial and embodied reasoning
- Geometry-Aware Reinforcement Learning for 2D Irregular NestingDeep reinforcement learning methods → RL with diffusion and flow models
- Causal Ensemble Agent: Hierarchical Causal Discovery with LLM-guided Expert ReweightingLLM agents and tool use → Medical and scientific domain agents
- AgenticNav: Zero-Shot Vision-and-Language Navigation as a Tool-Calling HarnessMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- One Token per Multimodal Evidence: Latent Memory for Resource-Constrained QAMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Improving Adversarial Transferability on Vision-Language Pre-training Models via Surrogate-Specific Bias CorrectionMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Hidden Consensus:Preference-Validity Compression in Human FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- VeriSpace: Spatially Grounded Action Verification for Vision-Language-Action ModelsVision-language-action models → 3D and spatial-aware VLA
- SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-RefinementLLM agents and tool use → Agent skill learning and evolution
- Prefilling-dLLM: Predictive Prefilling for Long-Context Inference in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Audio-Visual Exchange-Aware Token Pruning for Efficient Audio-Visual CaptioningEfficient LLM inference and serving → Visual token pruning in multimodal models
- ActiveMem: Distributed Active Memory for Long-Horizon LLM ReasoningLLM reasoning → Reasoning for agents, planning and code
- Representation-Aware Advantage Estimation: Your Reward Model Provides More Than A Scalar OutputLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Assessing Automated Prompt Injection Attacks in Agentic EnvironmentsLLM agents and tool use → Agent threats, guardrails and governance +1
- GUI-AC: Enhancing Continual Learning in GUI AgentsLLM agents and tool use → GUI and mobile agents
- UniSVQ: 2-bit Unified Scalar-Vector QuantizationEfficient LLM inference and serving → KV cache quantization
- LAFP: Preserving Latent Action Structure in Latent Policy Learning via Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- HIPIF: Hierarchical Planning and Information Folding for Long-Horizon LLM Agent LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Cross-Modal Knowledge Distillation without Paired Data: Theoretical Foundation and AlgorithmKnowledge distillation → Multimodal distillation
- Uncovering Vulnerability of Vision-Language-Action Models under Joint-Level Physical FaultsVision-language-action models → Failure recovery and robustness
- MoE Enhanced Federated Learning for Spatiotemporal PredictionMixture-of-experts → MoE for time series and graphs
- Act on What You See: Unlocking Safe Social Navigation in Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks
- Achieving Cloud-Grade SLOs for Local Mixture-of-Experts Inference through CPU-GPU Hybrid DesignMixture-of-experts → Efficient MoE training and inference systems
- ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in Olympiad-Level CombinatoricsLLM reasoning → Mathematical reasoning
- Decoupling Thought from Speech: Knowledge-Grounded Counterfactual Reasoning for Resilient Multi-Agent ArgumentationLLM reasoning → Reasoning for agents, planning and code +1
- Trace2Policy: From Expert Behavior Traces to Self-Evolving Decision AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Entropy-Aware Domain-Routed Mixture-of-Experts Speech-LLM Framework: A Case Study of Multi-Domain Child-Adult ASRMixture-of-experts → Multimodal MoE models
- Few-step Generative Models as Lossy CompressionDiffusion models → Diffusion for compression and wireless
- Mitigating Bias in Low-SNR Financial Reinforcement Learning via Quantum RepresentationsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Enhancing Multilingual LLM-based ASR with Mixture of Experts and Dynamic DownsamplingMixture-of-experts → Multimodal MoE models
- WebChallenger: A Reliable and Efficient Generalist Web AgentLLM reasoning → Reasoning for agents, planning and code +1
- Soul Computing: A Theoretical Framework and Technical Architecture for Intelligent Agents with Independent ConsciousnessLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Unified Multi-Modal Framework for Intelligent Financial Systems: Integrating Reinforcement Learning, High-Frequency Trading, and Game-Theoretic Approaches with Cross-Modal Sentiment AnalysisDeep reinforcement learning methods → Adversarial robustness and RL in finance
- KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human DifficultyLLM reasoning → Mathematical reasoning
- CoCoSI: Collaborative Cognitive Map Construction for Spatial IntelligenceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Do Vision-Language Models See or Guess? Measuring and Reducing Textual-Prior Reliance with a Phrasing-Controlled BenchmarkMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- STAGE-Claw: Automated State-based Agent Benchmarking for Realistic ScenariosLLM agents and tool use → General LLM agent frameworks and benchmarks
- Instruction Finetuning DeepSeek-R1-8B Model Using LoRA and NEFTuneLLM reasoning → Reasoning for agents, planning and code
- Beyond Absolute Imitation: Anchored Residual Guidance for Privileged On-Policy DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- Agentic Hybrid RAG for Evidence-Grounded Muon Collider AnalysisRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Test-time Adversarial Takeover: A Real-time Hijacking Interface against Robotic Diffusion PoliciesDiffusion models → Diffusion and flow policies for robotics
- PADD: Path-Aligned Decompression Distillation for Non-Router Teacher to Guide MoE Student LearningMixture-of-experts → MoE large language models +1
- A Practical Recipe Towards Improving Sim-and-Real Correlation for VLA EvaluationVision-language-action models → Failure recovery and robustness
- HiMem-WAM: Hierarchical Memory-Gated World Action Models for Robotic ManipulationWorld models → Embodied and robot world models
- ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain ResilienceWorld models → World models for language agents
- Atomic Intent Reasoning: Bringing LLM Semantics to Industrial Cross-Domain RecommendationsLLM reasoning → LLM reasoning for recommendation
- Reasoning or Memorization? Direction-Aware Diversity Exploration in LLM Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Routing-Aware Expert Calibration for Machine Unlearning in Mixture-of-Experts Language ModelsMixture-of-experts → Expert routing strategies +1
- Self-Distillation Policy Optimization via Visual Feedback: Bridging Code and Visual ArtifactsKnowledge distillation → Multimodal distillation
- Semantic Multi-Agent Intrusion Detection for IoT:Zero-Day and Adversarial Threats with Risk-Aware ReasoningLLM agents and tool use → Agent threats, guardrails and governance
- Game-Theoretic Multi-Agent Control for Robust Contextual Reasoning in LLMsLLM reasoning → Reasoning for agents, planning and code +1
- Baseline-Free Policy Optimization for Neural Combinatorial OptimizationLLM reasoning → Reinforcement learning for reasoning
- TabClaw: An Interactive and Self-Evolving Agent for Spreadsheet Manipulation and Table ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Catching One in Five: LLM-as-Judge Blind Spots in Production Multi-Turn Transaction AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Early-Token Confidence Predicts Reasoning Quality in Multi-Agent LLM DebateLLM reasoning → Reasoning for agents, planning and code +1
- SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic ManipulationVision-language-action models → Reinforcement learning and post-training
- MIRAGE: A Polarity-Flipping Encoding Subspace in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- The Confident Liar: Diagnosing Multi-Agent Debate with Log-Probabilities and LLM-as-JudgeLLM agents and tool use → Social simulation and multi-agent debate
- MARCH: Model-Assisted Reinforcement Learning for the Perceptive Control of Humanoids over Sparse FootholdsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA AgentsVision-language-action models → Generalist VLA models and benchmarks +1
- BERTilda: Explainable Topic Lifecycle Tracking with Split/Merge Detection via Similarity-and-Flow Temporal Graphs
- Computational Orientalism: Measuring Structural Discourse Bias in Large Language Models Using the Middle East Cultural Sensitivity Score (MECSS)
- From Reactive to Autonomous: Evolution of AI Operations in Cloud Network Infrastructure
- Cross-Model Humor Preference Modeling with Cards Against Humanity
- Emotion in an active inference model of human driving
- Mobile Interaction for Assessing Fatigue, Sleep, and Activity in Neurodegenerative and Chronic Diseases
- LLM Scheming Inversely Scales with Pretraining Language Coverage
- PATHFinder Agent for Tailored Prenatal Care
- ParBench: A Benchmark for Reliable Evaluation of LLM Parallel Code Translation
- TriSP: Tri-Signal Structured Pruning for Large Language Models
- Automated Recommendation of Programming Learning Content Using Pattern-based Knowledge Components
- Life Cycle Assessment of Pre-training the Lucie 7B Open-Source Large Language Model on the Jean Zay Supercomputer
- Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety
- A Guiding Framework for K-12 Teachers in Creating AI-powered Learning Technologies through Vibe Coding
- The Voronoi Bottleneck: Capacity-Aware Dense Retrieval for Product Search
- Physics-Constrained Neural Surrogate for Domain Growth Prediction in Systems with Conserved Kinetics
- Confidence Laundering in Agent Systems: Why Uncertainty Needs a Latent Carrier
- Expected Free Energy-based Planning as Variational Inference
- A-Evolve-Training: Autonomous Post-Training of a 30B Model
- Learning Splitting Heuristics for Parallel String Solvers
- Gaussian Mixture Attention: Linear-Time Sequence Mixing via Probabilistic Latent Routing
- Double-Helix Vision (DH-V2): A Geometry-Based Visual Sampler for Bandwidth-Constrained Perception
- ScoutVLA: UAV-Centric Active Perception via a Dual-Expert VLA Model for Open-World Embodied Question Answering
- An Empirical Analysis of Optimization Dynamics and Sparsity Boundaries in Large-Scale Pedestrian Attribute Recognition
- HierSVA: A Data Synthesis Pipeline, Dataset, and Benchmark for LLM-Driven Hierarchical Hardware Formal Verification
- When Can One Neuron Fix Repetition Loops in LLMs?
- Position: AI Must Become Planet-Centered, Not Just Human-Centered
- SirenFNO: Efficient and Full Frequency Learning of Fourier Neural Operators
- Continuous biome representations from Earth observation embeddings
- Probabilistic Contrastive Pretraining for Multi-task ADME Property Prediction
- SceneMiner: Identity-Preserving Multi-Task Fine-Tuning for Unified BEV Scene Mining
- On the Study of Biometric Spoofing Detection using Deep Learning
- When Role-playing, Do Models Believe What They Say?
- Hubs or Fringes: Pretraining Data Selection via Web Graph Centrality
- OmniLoc: A Geometry-Aware Foundation Model for Anchor-Free UE Localization Across Diverse Indoor Environments
- Unbiased Derivative Estimation for Stationary Mean of Parameterized Markov chains
- Accurate and Resource-Efficient Federated Continual Learning
- Towards Fully Automated Exam Grading: Fairness-Aware Recognition of Handwritten Answers with Foundation Models
- Mahalanobis-Guided Latent OOD Detection for Hybrid ES-DRL Control in Time-Varying Systems
- CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching
- Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems
- Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and more
- PT-WNO: Point Transformer with Wavelet Neural Operator for 3D Point Cloud Semantic Segmentation
- LSTM-Based Detection of Structural Breaks in Property Insurance Loss Reserving: A Climate-Informed Approach
- APEX: Automated Prompt Engineering eXpert with Dynamic Data Selection
- Exploring Adaptive Masked Reconstruction for Self-Supervised Skeleton-Based Action Recognition
- 3D-CBM: A Framework for Concept-Based Interpretability in Generative 3D Modeling
- Forecasting Future Behavior as a Learning Task
- The Power of Test-Time Training for Approximate Sampling
- Mirror Descent Beyond Euclidean Stability: An Exponential Separation in Initialization Sensitivity
- Towards a Bridge Layer Between Bibliographic and Formalized Mathematical Knowledge
- Gumbel-BEARD: Automatic Layer Selection for Self-Supervised Adaptation of Whisper in Low-Resource Domains
- SOMA-SQL: Resolving Multi-Source Ambiguity in NL-to-SQL via Synthetic Log and Execution Probing
- Context-Aware Multimodal Claim Verification in Spoken Dialogues
- Signed Compression Progress on a Sealed Audit is Goodhart-Resistant
- MPC-Patch-Bench: Security-Aware LLM Code Patch for Multi-Party Computation
- Spatially Masked Regression Reveals Local and Distributed Predictability in Electrophysiological Recordings
- GraphGP: Scalable Gaussian Processes with Vecchia's Approximation
- Scenario-based Probing and Steering Cultural Values in Large Language Models--Extended Version
- Recursive Binding on a Budget: Subspace Carving in Order-p Tensor Memories
- A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting
- Small Experiments, Cheaper Decisions: A Case Study in Staged Promotion for Micro-Pretraining
- GLACIER: A Multimodal Student-Teacher Foundation Model for Molecular Property Prediction
- From Simulation to the Real-World: An In-Field 6D Pose Dataset and Baseline for Robotic Strawberry Harvesting
- Automated Mediator for Human Negotiation: Pre-Mediation via a Structured LLM Pipeline
- When Probing Accuracy Saturates, Fragility Resolves: A Complementary Metric for LLM Pre-Training Analysis
- The Dynamics of Human and AI-Generated Language: How Semantics Fluctuates across Different Timescales
- NSVQ: Mitigating Codebook Collapse by Stabilizing Encoder Drift in Vector Quantization
- A PubMed-Scale Dataset of Structured Biomedical Abstracts
- TileFuse: A Fused Mixed-Precision Kernel Library for Efficient Quantized LLM Inference on AMD NPUs
- SwiftCTS: Fast Cross-Design Prediction and Pareto Optimization of Clock Tree Metrics via Few-Shot Calibration
- Annealed Entropic Allocation for Ranking and Selection
- Energy-Conserved Neural Pipelines: Attenuating Error Propagation in Modular Neural Networks via Physical Conservation Constraints
- Quantized Stochastic Primal-Dual Methods for Distributed Optimization under Relaxed Global Geometry
- Can AI Agents Synthesize Scientific Conclusions?
- DarkVGGT: Seeing Through Darkness Using Thermal Geometry
- Semantic Segmentation of Node and Edge Diagrams for Assistive Technology
- Learning from almost nothing: How neural networks survive heavy input corruption
- TRON: Tracing Rays to Orchestrate a Neural Renderer for 3D Gaussian Reconstructions
- SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation
- Interpretable Neural Marked Statistics for Cosmological Inference
- Intelligent Skin Cancer Detection Using a Multispectral Metasurface and a Hybrid
- FreeBridge: Variational Schr"odinger Bridges for Cellular Transition Dynamics
- EventRadar: Long-Range Visual UAV Discovery through Spatiotemporal Event Sensing
- Fixed-Parameter Tractability of Private Synthetic Data Generation
- Massive Open-Vocabulary Keyword Spotting
- RoVE: Rotary Value Embeddings Attention for Relative Position-dependent Value Pathways
- Multi-agent rendezvous in fluid flows via reinforcement learning
- Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data
- Quantifying Subliminal Behavioral Transfer Ratios in Language Model Distillation
- Traits Run Deeper: Trait-Specific Asymmetric Fusion for Multimodal Personality Assessment
- LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data
- A prior-free blind detection of information leakage from model predictions
- OmniBioTwin: A System-of-Twinned-Systems Framework for Health Digital Twins
- Geometric bias in eigenspace perturbation under random heterogeneous noise
- PermDoRA -- Understanding Adapter Interference in Language Models: Limits of Parameter-Space Geometry
- Loss Landscape Diagnosis for Gradient-Based Gray-Scott System Inversion: Disentangling the Roles of PINN Components
- When to Align, When to Predict: A Phase Diagram for Multimodal Learning
- A Unifying Lens on Supervised Fine-Tuning Through Target Distribution Design
- AnyMod-LLVE: Low-Light Video Enhancement with Modality-Agnostic Inference
- Data Journalist Agent: Transforming Data into Verifiable Multimodal Stories
- Bellman-sufficient Information Complexity
- Piper: A Programmable Distributed Training System
- Multi-Faceted Interactivity Alignment in Full-Duplex Speech Models
- Flaws in the LLM Automation Narrative
- COGENT: Continuous Graph Emulators with Neural Ordinary Differential Equations for Long-Term Physical Forecasting
- Ito maps for any-step SDEs
- Efficiently Learning Drifting Halfspaces with Massart Noise
- MOFA-VTON: More Fashion Possibilities with Fine-Grained Adaptations in Virtual Try-On
- OncoTraj: a public benchmark for longitudinal resistance prediction in EGFR-mutant non-small-cell lung cancer on osimertinib
- First-Order Trajectory Matching: Fast Ensemble Predictions of Chaotic, Turbulent, Stochastic Systems
- Conformal Prediction for Dyadic Regression Under Complex Missingness
- UniPET: a universal network for high-quality PET image denoising across varied dose reduction factors
- Robust Regression of General ReLUs with Queries
- DMT: Demographic Conditioning, Morphology-Enhanced Transformer for Cuffless Blood Pressure Estimation from PPG Signals
- Overcoming Rank Collapse in Feedback Alignment
- Data-Driven Dynamic Assortment in Online Platforms: Learning about Two Sides
- Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA
- Designed by Journalists, but Is It for Readers? Rethinking AI Disclosures and Transparency in News
- Multimodal Brain Tumour Classification Using Feature Fusion
- FADA: Accessible fetal ultrasound interpretation and annotation with a selectively distilled unified vision-language model
- PhantomBench: Benchmarking the Non-existential Threat of Language Models
- Limitations of Learning Tanh Neural Networks with Finite Precision
- Do Transformers Actually Help Intrusion Detection? A Temporal Sequence Evaluation on CIC-IDS2017
- IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder
- Unifying Local Communications and Local Updates for LLM Pretraining
- VISTA: A Versatile Interactive User Simulation Toolkit for Agent Evaluation
- GRAFT: Gain-Recalibrated Adapters for Transformer-Based Neural Population Activity Modeling
- CIAware-Bench: Benchmarking Control Intervention Awareness Across Frontier LLMs
- Flexible Kernels for Protein Property Prediction
- Generalized Conformal Predictive Systems Under Distributional Shifts
- AuRA: Internalizing Audio Understanding into LLMs as LoRA
- U-TTT: Towards Generalizable PET Image Denoising via Test-Time Training
- Generative Archetype-Grounded Item Representations for Sequential Recommendation
- Measuring Human Value Expression in Social Media Texts: Calibrated LLM Annotation and Encoder Transfer
- Data-Driven Runway and Taxiway Exits Prediction of Landing Aircraft: A Case Study at Hartsfield-Jackson Atlanta International Airport
- Superficial Beliefs in LLM Decision-Making
- Numbers Beat Words: A Rigorous On-Premise Benchmark for Coupled MIMO Controller Tuning
- An Uncertainty Estimation Framework for Dose Accumulation in Adaptive Radiotherapy: Application to CBCT-Guided Radiotherapy for Cervical Cancer
- Who Brought Easter Eggs to Eid? Auditing LLM-Generated Cultural Translation of Math Word Problems Across Languages and Regions
- Understanding and mitigating the risks of OpenClaw for non-technical users: A practical guide with Skill
- IPSM-Bench: A New Intermediate Phase Segmentation Benchmark in Microstructure Images of Zinc-Based Absorbable Biomaterials
- Analog Quantum Asynchronous Event-Based Graph Neural Network
- AnimaSpark: A Feed-Forward Method for Animating Arbitrary 3D Objects
- Bellman-Taylor Score Decoding for Markov Decision Processes with State-Dependent Feasible Action Sets
- Learning Doubly Sparse Explicitly Conditioned Transforms
- Optimizing 2D Input Representations and Sub-phase Fusion Strategies for Differential Diagnosis of Asthma and COPD Using CNN- and GRU-Based Networks
- Quo Vadis, Visual In-Context Learning? A Unified Benchmark Across Domains and Tasks
- Population-Aware Physics-Informed Neural Particle Flow for Robust Spacecraft Bayesian Navigation
- Mind the Gap: Can Frontier LLMs Pass a Standardized Office Proficiency Exam?
- Architect-Ant: Editable Automatic Furnishing of Architectural Floor Plans
- Recalling Too Well: Sycophancy Evaluation and Mitigation in Memory-Augmented Models
- Express Language Modeling
- Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions
- Democratising Camera Trap AI: An Open-Source Model for Detecting UK Mammals
- PENet+: A Lightweight Residual Transformer Framework for Efficient Image Steganalysis
- A Systematic Approach for Selecting Trajectories for Data Augmentation
- Provenance Tracking in AI Compilers through the Lens of Coalgebra
- CLP: Collocation-Length Prediction for Zero-Loss Adaptive Multi-Token Inference
- A Constrained Natural-Language Interface for Variational Multi-Physics Finite Element Simulations in FEniCS
- Task Robustness via Re-Labelling Vision-Action Robot Data
- Range Penalization: Theoretical Insights with Applications in Federated Learning
- Conservation Laws from Data Symmetry in Neural Networks
- What Do Deepfake Speech Detectors Actually Hear?
- Ethical and Technical Limits of Deepfake Speech Datasets
- Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks
- RAT: Reference-Augmented Training for ASV Anti-Spoofing
- Human-AI Teaming Through the Lens of Calibration
- Beyond Model Size: Probing the Gaps in Visual in-Context Learning by Training a Tiny Model
- Pose-ICL: 3D-Aware In-Context Learning for Pose-Controllable Subject Customization
- Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering
- The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation
- Improving Text-Instance Alignment Of Foreground Conditioned Out-Painting Via Customized Concept Embedding
- Optimal Post-Training Quantization Scales and Where to Find Them
- Sleep EEG Signal Criticality as a Non-Invasive Predictor of Cognitive Decline in Dementia
- Listen, Look, and Learn: Learning Without Forgetting through SAM-Audio
- Large-scale semantic mapping of learner agency and autonomy reveals what measurement and generative AI research overlook
- XtrAIn: Training-Guided Occlusion for Feature Attribution
- Advancing Wood Identification in the Philippines: Utilizing the Xylorix Platform for Efficient AI Model Development and Deployment for Five Key Species
- Schmidt Decomposition-Based Methods for Efficient Quantum Image Encoding
- When Do Autoregressive Sequence Models Forecast Physical Wavefields? A Controlled Study on Synthetic Seismograms
- From Perception to Action: Can UI Interventions Foster Sustainable LLM Chatbot
- Embodiment-conditioned Generalist Control for Multirotor Aerial Robots
- Janus: A Benchmark for Goal-Conditioned Information Distortion in LLMs
- ConvMemory v2: A Recall-Preserving Top-10 Evidence Reranker for Conversational Memory Retrieval
- HarmoView: Harmonizing Multi-View Constraints for Identity-Consistent Video Generation
- A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks
- Encoding the Euler Characteristic Transform
- K-Forcing: Joint Next-K-Token Decoding via Push-Forward Language Modeling
- IMPACT: Learning Internal-Model Predictive Control for Forceful Robotic Manipulation
- Deep learning for echo sounder data
- Moonshine: An Autonomous Mathematical Research Agent Centered on Conjecture Generation
- SCAIL-2: Unifying Controlled Character Animation with End-to-End In-Context Conditioning
- Boosting ECG Classification Performance by Pre-training with Synthesized Data
- Evaluating Research-Level Math Proofs via Strict Step-Level Verification
- CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting
- READER: Dynamic LLM Provenance from Query-Varying Interactions
- A Multimodal RGB and Events Dataset for Hand Detection in First-Person View
- Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data
- Accelerating NeurASP with vectorization and caching
- A Bayesian Network Approach for Enhancing Security-Focused Decision Support Systems
- Recovering the Zipfian Distribution in Unsupervised Term Discovery
- Secure Aggregation with Top-K Sparsification in Decentralized Federated Learning
- From Patches to Patients: A study of the tile-to-slide performance transferability in Digital Pathology
- Can we trust our models? Epistemic calibration in second-order classification
- Spatially Selective Self-Training for Unsupervised Building Change Detection
- Asynchronous Decentralized Federated Learning over Lossy Wireless Links via Reception- and Age-Aware Aggregation
- Correcting Variable Importance Scored by Random Forests
- ZODS-RS -- Zero-training Oriented Detection & Segmentation for Remote Sensing
- ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation
- DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction
- Detecting Knowledge Gaps from Conversational AI Interactions Using Curriculum Prerequisite Graphs
- Patient-Level Diagnosis of Acute Myeloid Leukemia via Deep Learning Analysis of Bone Marrow Smear
- SPACR: Single-Pass Adaptive Training of Uncertainty-Aware Conformal Regressors
- Pre-AF 13: An Interpretable Atrial Fibrillation Risk Score Mined from Discharge Reports
- Continual LLM Upcycling: A Predictor-Gated Bank-Wise Sparsity Training Recipe for Dense-to-Sparse LLMs
- Transformer Based Model for Spatiotemporal Feature Learning in EEG Emotion Recognition
- Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings
- ++nnU-Net: Scaling nnU-Net with Prefix-Based Data Augmentation
- Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
- Vector Map as Language: Toward Unified Remote Sensing Vector Mapping
- Using the YOLOv12 Model for Verifying the Correct Color Sequence of Wires in Network Cables (Patch Cords) on the Production Line
- Efficient AI-Inspired Reduction of Feynman Integrals via Tube Seeding
- Don't waste SAM
- Do LLMs Make Neural Distinguishers Wise?
- An adaptive framework for the axisymmetric pulsar magnetosphere using physics-informed Kolmogorov-Arnold networks
- UniDexTok: A Unified Dexterous Hand Tokenizer from Real Data
- PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection
- One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data
- Multilingual Word-Level Forced Alignment with Self-Supervised Representations and Learned Dynamic Programming
- ClusBench: The Clustering Benchmark Data Resource You've All Been Waiting For (?)
- In Defense of Information Leakage in Concept-based Models
- Analyzing Training-Free Corruption Detection for Object Detection Datasets
- Accounting for AI Inference in Corporate GHG Inventories: A Four-Tier Methodology for Scope 3 Category 1 Reporting
- Post-Quantum Secure Federated DeFi for Inclusive Banking
- Are We Evaluating Knowledge or Phrasing? Mitigating MCQA Sensitivity with ParaEval
- Envision4D: Envisioning Visual Futures via Feed-forward 4D Gaussian Splatting for Autonomous Driving
- Speaker Group Encoding in Self-supervised Speech Recognition Models
- Dynamic Linear Attention
- ManiSplat: Manipulation Trajectory Synthesis from Monocular Video via Decoupled 3D Gaussian Splatting
- PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models
- ChartLens: A Dual-Branch Framework for Chart Data Correction and Factual Summary Refinement
- Is Fairness Truly Fair? Towards Reliable Lipschitz Fairness in Multi-Task Learning via Fixed-texorpdfstringδdelta Alignment
- Leveraging Metric Depth for Relative Depth Prediction
- Profy: Interpretable Visualization of Expertise-Dependent Motor Skills Toward Supporting Piano Practice
- STORM: Stepwise Token Optimization with Reward-Guided Beam Search
- Dexterous Point Policy: Learning Point-based Dexterous Hand Policies from Human Demonstrations
- Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning
- Globally Localizing Lunar Rover in Pixels via Graph Alignment
- Dmsh: A Multi-Agent Reinforcement Learning Framework for All-Quad Mesh Generation
- Toward Proactive RF Charging Scheduling: Generative AI for Decision Support
- Embedding Hybrid Systems into Continuous Latent Vector Fields
- From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning
- Segment and Select: Vision-Language Segmentation in 3D Scenarios
- Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting
- Towards Diverse Scientific Hypothesis Search with Large Language Models
- NOVA: Symbolic Regression Discovery of Interpretable Car-Following and Lane-Change Models with Driver Heterogeneity
- Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching
- ParaBridge: Bridging Paralinguistic Perception and Dialogue Behavior in Speech Language Models
- Convergence of Monte Carlo Optimistic Policy Iteration: Beyond Uniform State-Action Updates
- Accelerating SAV-based optimization via randomized low-rank Hessian approximation
- Deterministic Denominator Design for Localized Tamed Stochastic Gradient Langevin Dynamics
- Benchmarking Knowledge Editing using Logical Rules
- LentiAvatar: Pseudo-Multiview Reconstruction and Subpixel Prism Rendering for Real-Time Stereoscopic Communication
- Unsupervised Deep Learning for Limited-Angle STEM-EDX Tomography -- Application to 3D Chemical Analysis of Phase-Change Memory Devices
- Flexible Flows for Biological Sequence Design
- GRAR: Glass-induced Reflection Artifact Removal in LiDAR Point Clouds
- LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization
- Machine Learning Methods for Studying Latent Neural Activity Dynamics
- A Reliable Fault Diagnosis Method Based on Belief Rule Base Consider Robustness Analysis
- PathRelax: Parallel-Path Relaxed Speculative Jacobi Decoding for Accelerating Auto-Regressive Text-to-Image Generation
- A complementary study on PlanGPT: Evaluation with defined Performance Metrics and comparison with a planner
- 5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning
- Stop Early, Spend Less: Hidden-State Probes as a Practical Recipe for Streaming Moderation of LLM Outputs
- Advancing the State-of-the-Art in Empirical Privacy Auditing
- 3D-CoS: A New 3D Reconstruction Paradigm Based on VLM Code Synthesis
- Trading Utility for Dynamic Fairness in Multiple Resource Division with Sequential Demand
- Detecting Speculative Language in Biomedical Texts using Recurrent Neural Tensor Networks
- A Mean-Field Analysis of Multi-Head Self-Attention under Cross-Entropy Training
- Geometric Coastline Localization using Vision-Language Models
- Large Language Models as Modal Models in Linguistics
- UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation
- ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs
- LakeQA: An Exploratory QA Benchmark over a Million-Scale Data Lake
- Leveraging Social Media Data for COVID-19 Studies
- Minimum Distortion Quantization with Specified Output Distribution
- The Distributed Detectability Band Against Marginal-Preserving Attacks
- SpenseGPT: Practical One-shot Pruning Enabling Sparse and Dense GEMMs for LLM Inference
- ASTRA-sim 3.0: Next-Level Distributed Machine Learning Simulations via High-Fidelity GPU and Infrastructure Modeling
- Parallel Causal Associative Fields: Gated Sparse Memory for Long-Context Language Modeling
- Vision-Assisted Foundation Model for Solving Multi-Task Vehicle Routing Problems
- Which LoRA? An Empirical Study on the Effectiveness of LoRA Techniques During Multilingual Instruction Tuning
- A Comprehensive Inference-Time Augmentation Framework in Physiological Signals: Application to PPG-Based AF Detection
- Time-frequency localization of bird calls in dense soundscapes
- FOGO: Forgetting-aware Orthogonalization Optimizer
- Harnessing the Collective Intelligence of AI Agents in the Wild for New Discoveries
- Selection, Not Salience: The Shape and Limits of Personalization in Social Highlighting
- Efficient RWKV-based Representation Learning for 3D Point Clouds
- Validation-Stage Combinatorial Fusion Analysis for Imbalanced Credit-Card Fraud Detection
- Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games
- Right Family, Wrong Skill: Evaluating Risk Exposure in Agent Skill Retrieval
- Towards Critical Branching Mechanism in Recurrent Neural Networks
- Expert-Level Crisis Detection in Mental Health Conversations
- FSS-Net: Frequency-Spatial Synergy Network with Wavelet Attention for Carotid Artery Ultrasound Segmentation
- Bidirectional Random Projections
- Belief-Space Control for Personalized Cancer Treatment via Active Inference
- PF-Trans: Physics-Embedded Frequency-Aware Transformer for Spectral Reconstruction
- ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment
- Speech Meets ELF: Audio Conditional Continuous-Target Diffusion for Speech Recognition and Translation
- Benchmarking stereo reconstruction for 3D printable Martian terrain models
- Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin
- KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data
- Multi-Angular Reflectance Anisotropy Observed from UAV Multispectral Imagery
- Magnetic HIP-NN for spin dynamics in disordered itinerant magnets
- Beyond Explaining Predictions: Logic-Based Explanations for Confidence in Machine Learning Models
- Privacy-Preserving Credit Risk Prediction with Alternative Data
- Building Change Detection in Earthquake: A Multi-Scale Interaction Network and A Change Detection Dataset
- Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images
- The Order Matters: Sequential Fine-Tuning of LLaMA for Coherent Automated Essay Scoring
- Rank Collapse, Fixed Points, and the Renormalization Group Structure of MLP Residual Networks
- Mobility Anomaly Generation using LLM-Driven Behavior with Kinematic Constraints
- Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection
- Where You Inject Diversity Matters: A Unified Framework for Diverse Generation
- What Spatial Memory Must Store: Occlusion as the Test for Language-Agent Memory
- From Context-Aware to Conflict-Aware: Generalizing Contrastive Decoding for Knowledge Conflict in LLMs
- k-Nearest Neighbors in Gromov--Wasserstein Space
- LLM-Guided Neural Architecture Search for Robust Co-Design of Physical Neural Networks
- When Metrics Disagree: A Meta-Analysis of Knowledge-Graph-Completion Model Benchmarking
- Sim2Schedule: A Simulator-Guided LLM Framework for Autonomous Open-Pit Mine Scheduling
- OpenRTLSet: A Fully Open-Source Dataset for Large Language Model-based Verilog Module Design
- Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing
- Benchmarking and Exploring the Capabilities of LLMs for Attack Investigations
- Overlapped Wavelet Diffusion for Low-Light Image Enhancement
- Supervised Fine-tuning with Synthetic Rationale Data Hurts Real-World Disease Prediction
- Towards Robust Arabic Speech Emotion Recognition with Deep Learning
- Lightweight Adaptive Feature Composition for Heterogeneous Downstream Adaptation of Wireless Foundation Models
- Hierarchical Policies from Verbal and Egocentric Human Signals for Natural Human-Robot Interaction
- FoA-SR: Faithful or Aesthetic? Profile-Aware Preference Optimization for Real-World Image Super-Resolution