Papers
Wed 29 Jul 2026
439 papers
- Improving Online Reinforcement Learning via Bidirectional Behavior Prior DistillationDeep reinforcement learning methods → Deep RL algorithms and representations
- CleanVideo: Adaptive Concept Erasure for Text-to-Video Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Disentangling Algorithmic Bias from Archival Artifacts: A Controlled Audit of Vision-Language Model Valuation in Metropolitan Museum ArchivesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- PRISM: An Agentic Multi-Model Architecture for Proactive Safety in Autonomous Transportation SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Toward a social psychology of AI: language-model agents reproduce human-like minimal-group biasLLM agents and tool use → Social simulation and multi-agent debate
- Preference Elicitation for Policy Optimization and Application to Aligning Heart Transplantation with Human ValuesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- DUET: Dual-Teacher On-Policy Distillation via Same-Weight Disagreement for Prohibition ComplianceLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- Training and Evaluating Ethical Reinforcement Learning Agents on Per-Episode DistributionsDeep reinforcement learning methods → RL training of language and agent models
- When LLM Agents Negotiate: Private Information and Dynamic Bargaining in Supply ChainsLLM agents and tool use → Social simulation and multi-agent debate
- An evolutionary model of animats with VLM-based subjective evaluationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Beyond Accuracy: Auditing Spatial Provenance in Visual Token Pruning for OCR-Critical MLLM InferenceEfficient LLM inference and serving → Visual token pruning in multimodal models
- Which Modality Decides? Counterfactual Modality Attribution for Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SafeBuild-Bench: A Temporal-Robust Construction Safety Benchmark with Graph-Enhanced Data MiningLLM safety and security → Safety alignment, refusal and guardrails
- TELLER: Dual-Path Iterative Preference Optimization for Table Entity LinkingLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision SupportLLM reasoning → Clinical and biomedical applications
- Latent-Kernel Discrete Flow Maps for Few-Step GenerationDiffusion models → Discrete and text diffusion
- ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework MappingLLM agents and tool use → Agent threats, guardrails and governance
- Hierarchical Reranking for Scalable Financial RAG SystemRetrieval-augmented generation → Legal and financial RAG
- Automated Transcript Analysis for Detecting Flaws in Agentic BenchmarksLLM agents and tool use → General LLM agent frameworks and benchmarks
- Belief Coevolution in a Social Network of Generalist and Specialist Large Language ModelsLLM agents and tool use → Social simulation and multi-agent debate
- Failure Detection for Surgical Robot Imitation Policies via Flow-Matching World ModelingWorld models → Medical and surgical world models +2
- Models for minimalist RAG: B1ade 335M Embedding and 1B Parameter Small Language ModelsRetrieval-augmented generation → Generation and context integration
- SkillSmith: Learning to Compose Parametric Skills and Textual KnowledgeLLM agents and tool use → Agent skill learning and evolution
- Skill Use or Skill Theater? Evaluating the Reasoning Backroom in Skill-Augmented Language AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Leveraging Trajectory Graphs for Pre-Execution Error Diagnosis in Agentic LLM SystemsLLM agents and tool use → Software engineering coding agents
- SE(3)-MeanFlow: Few-Step Protein Backbone Generation on Lie GroupsDiffusion models → Flow matching, time series and science
- Auditing Emergent LLM-Agent Collaboration through Cooperation-Obligation CouplingLLM agents and tool use → Agent threats, guardrails and governance
- Bridging Inference-Time Scaling and Episodic Memory with Action-Centric GraphsLLM reasoning → Reasoning for agents, planning and code
- SWE-NFI: Studying and Benchmarking Coding Agents for Non-Functional ImprovementsLLM agents and tool use → Software engineering coding agents
- Beyond the Bidirectional Promise: Re-evaluating the Robustness of Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Same Facts, Different Diagnosis: Measuring and Mitigating Narrative Anchoring in Clinical Language ModelsLLM reasoning → Clinical and biomedical applications
- VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine SystemLLM agents and tool use → Multimodal and embodied agents
- HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- From Backlog Items to Security Guidance: Towards Continuous Security ComplianceRetrieval-augmented generation → Privacy and security of RAG
- RoguePrompt: Dual-Layer Encoding for Self-Reconstruction to Circumvent LLM ModerationLLM safety and security → Jailbreaking
- BridgeAlign: Bridging Preference Alignment for Humanities and Social SciencesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- SkillMentor: LLM Agent Self-Evolution via Learning Blind-Spot DiagnosisLLM agents and tool use → Agent skill learning and evolution
- Shared Semantic Codebook Distillation for Unpaired Cross-Modal Medical ClassificationKnowledge distillation → Distillation for medical imaging
- LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Position, Not Provenance: Separating Reasoning Mediation from Sycophancy in Medical Vision-Language ModelsLLM reasoning → Clinical and biomedical applications +1
- AgentS4D: Benchmarking Runtime Risks across the Execution Lifecycle of LLM-Based Workspace AgentsLLM agents and tool use → Agent threats, guardrails and governance
- TIER-MoE: Trust-Informed Expert Routing via Conditional Modality Risk for Multimodal Fusion in Biomedical ClassificationMixture-of-experts → Medical and biomedical MoE
- Open Security Benchmark: Towards Autonomous Enterprise Cyber DefenseLLM agents and tool use → Agent threats, guardrails and governance
- The Kinetics of Training: A Driven-Nucleation Rate Law for Emergence, Plasticity Loss, and Circuit Control in Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
- Flat Score, Amplified Failures: How the Error Budget Masks Damage in Quantized LLM AgentsLLM agents and tool use → Tool learning and function calling
- Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- FAVA: Formal Authorization for Verified Agents with Evidence-Backed Permission GraphsLLM reasoning → Reasoning for agents, planning and code +1
- It's Not Just More Demos: Counterfactual Action Sensitivity Coverage for Data-Efficient Robust Robot ImitationOffline RL and imitation learning from data → Robot manipulation imitation learning
- TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAMVision-language-action models → Efficient VLA inference and adaptation
- Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning?Deep reinforcement learning methods → Deep RL algorithms and representations
- Mental World ModelingWorld models → World models for language agents
- HumanCLAW: Can Vision-Language Models Act Through a Body?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SpecFirst: Behavioral Specification Elicitation as a First-Class Step in Agent-Based Program Synthesis from ScratchLLM agents and tool use → Software engineering coding agents
- OmegaUse-OfficeVal: Benchmarking LLM Agents on Long-Horizon Office-Suite Tasks with Economic GroundingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Anatomy Contextualized Adaptation of CT Foundation ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program SynthesisLLM agents and tool use → Software engineering coding agents
- Explainable and Resource-Efficient Spatial Reasoning in Multimodal LLMs for Decision-Critical ApplicationsLLM reasoning → Spatial and embodied reasoning +1
- DLAM: Distributional Latent Actions with Temporal ConstraintsVision-language-action models → Human-video and latent-action pretraining
- KAMR: Grounding Generation via Knowledge-Aligned Multi-hop RetrievalRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI DetectionKnowledge distillation → Multimodal distillation
- FreqForcing: Autoregressive Long Video Generation via Spectral Self-AnchoringDiffusion models → Video generation
- InferScale: GPU-Native KV Injection for Personalized LLM ServingEfficient LLM inference and serving → KV cache optimization
- Scores Are Not Decisions: Cost-Aware Stopping for Tool Acquisition in LLM AgentsLLM agents and tool use → Tool learning and function calling
- On-Policy Distillation for LLM Safety: A Routing Approach to Template-Robust RealignmentLLM safety and security → Safety alignment, refusal and guardrails +1
- MemSecBench: Tracking Agent Memory Poisoning from Persistence to Consequence and RepairLLM agents and tool use → Agent threats, guardrails and governance
- Visual Credit Audit for Multimodal Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
- Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous DataLLM agents and tool use → Agent memory systems
- CoCaRS: Correlation Calibration-Based Redundancy Suppression for Heterogeneous Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Mitigating Compounding Error via Video Representation RegularizationWorld models → Video-generation world models and simulators +1
- What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive RepresentationsWorld models → Latent predictive world models
- AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration AgentsLLM agents and tool use → Agent threats, guardrails and governance
- RL2-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action ModelsLLM reasoning → Spatial and embodied reasoning +2
- TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip PlanningLLM reasoning → Reasoning for agents, planning and code +1
- Credit Cards, Confusion, Computation, and Consequences: What Can We Uncover About Language Model Reasoning?LLM reasoning → Reasoning for agents, planning and code
- Progressive Multimodal Alignment for Continual Instruction TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- VITAL-RAG: Invariance Race for Context Allocation in Coding AgentsLLM agents and tool use → Software engineering coding agents
- Temporally Centered SIGReg Improves LeWorldModel Representations for Robot Policy LearningWorld models → Latent predictive world models
- Two Calls Beat Five Agents: Evaluating Multi-Agent Pipelines Against Self-Refinement for Local Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Prior Directions: Why GUI Grounding Gets Locked in the PastMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CinemaTraj: Composing Atomic Camera Trajectories for 3D Scenes with LLM AgentsLLM agents and tool use → Multimodal and embodied agents
- Dual-Path LLM Reasoning for Multimodal Few-Shot Knowledge Graph CompletionLLM reasoning → Knowledge- and tool-augmented reasoning
- DIRECT: Direct Decoding for Efficient and Aligned Sequence Labeling with Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Hearsay: Vision-Language Medical Diagnoses Without an ImageMultimodal LLMs / vision-language models → Medical vision-language models
- SCALPEL: Semantic Cross-modal Alignment via LLM-Powered Encoder Learning for Medical Vision-Language RepresentationMultimodal LLMs / vision-language models → Medical vision-language models
- SERPO: Self-Evolving Rubric Policy Optimization for Open-Ended Test-Time Reinforcement LearningSynthetic data and self-improvement for LLMs → Self-evolving LLM agents +1
- Think Short, Defer Smart, Act, and Repeat: Calibrated Reasoning and Uncertainty-Aware Deferral for Edge LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- ReCo: Reweighting GRPO Against Distributional ConcentrationLLM reasoning → Reinforcement learning for reasoning
- ToxScreen: Detecting Whether an LLM Has Been PoisonedLLM safety and security → Backdoor and data poisoning attacks
- Thinking Under Uncertainty: Evidence Use and Information-Seeking in Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- When Knowledge Changes: Metamorphic Testing of RAG Systems with MutationsRetrieval-augmented generation → RAG pipeline design and evaluation
- Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent SystemsLLM agents and tool use → Medical and scientific domain agents
- A First Look at Coding Agents' Compliance with AI Contribution Rules in Open-Source CommunitiesLLM agents and tool use → Software engineering coding agents
- SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident ResponseLLM agents and tool use → Agent threats, guardrails and governance
- CheckVLA: Execution-Time Verification with Action-Conditioned World Model for Long-Horizon Mobile ManipulationWorld models → Embodied and robot world models +1
- SkillRise: Agentic Reinforcement Learning for Cross-Task Skill EvolutionLLM agents and tool use → Agent skill learning and evolution
- CodeSpec: Dual Executable Specifications for Agentic Long-Horizon Feature DevelopmentLLM agents and tool use → Software engineering coding agents
- Do Latent Channels Actually Communicate? A Causal Audit of Latent Multi-Agent LLMLLM agents and tool use → General LLM agent frameworks and benchmarks
- See2Think: Do Multimodal Models Really Use Intermediate Visual States?LLM reasoning → Multimodal reasoning +1
- Metis: Memory Foundation ModelLLM reasoning → Reasoning for agents, planning and code
- StatePlay: State-Aware Game World Models for Mechanics-Consistent GenerationWorld models → Video-generation world models and simulators
All 439
- CalTwin: Towards Calibrated, Shift-Robust Medical World Models via Fisher-Information RegularisationWorld models → Medical and surgical world models
- Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-TextState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Dual Inversion for Text-to-Image Diffusion Models: From Both Prompt and Noise PerspectivesDiffusion models → Image generation, text-to-image and editing
- UrbanDS: A Graph-Guided LLM Multi-Agent System for Data-Intensive Urban TasksLLM agents and tool use → Web, search, and research agents
- FARI: Robust One-Step Inversion for Watermarking in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- DREvo: Distilling Recalibrated Historical Experience for Harness Self-EvolutionLLM agents and tool use → Software engineering coding agents
- FreeShadow: Training-Free Shadow Removal via Illumination Transfer and Selective Content Preservation in Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- ActSWM: Action-Sensitive World Models for Long-Horizon Planning in Open-World GamesWorld models → Latent predictive world models
- TPD: Temporal Prior Decoupling for Text-to-Video Diffusion ModelsDiffusion models → Video generation
- Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRLDeep reinforcement learning methods → RL theory and sample complexity
- AgenticCANN: Automated Ascend C Operator Generation via Knowledge-Augmented Agentic EvolutionLLM agents and tool use → Software engineering coding agents
- Enfold: Folding World Model Imagination into Predictive Representations for Ultra-Efficient Embodied ControlWorld models → Embodied and robot world models
- Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability DetectionLLM agents and tool use → Agent threats, guardrails and governance
- Anchoring and Steering Diffusion: Enhancing the Faithfulness of Text-to-Image Generation at Inference TimeDiffusion models → Image generation, text-to-image and editing
- Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill OverfittingLLM reasoning → Reasoning for agents, planning and code
- Depth, Not Breadth: Best-of-N Jailbreaking Beyond Surface NoiseLLM safety and security → Jailbreaking
- Filesystem-Based Memory for LLM Agents: Organization, Evolution, and SustainabilityLLM agents and tool use → Agent memory systems
- NELSSA: A GPU-PNM Heterogeneous System for Mixed-Length LLM Serving via Length-based Request PlacementEfficient LLM inference and serving → Serving systems and request scheduling
- RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge DeploymentRetrieval-augmented generation → RAG pipeline design and evaluation
- Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure ModesEfficient LLM inference and serving → Speculative decoding
- WhisperRec: Latent Reasoning for Efficient Foundation Recommendation ModelsLLM reasoning → LLM reasoning for recommendation
- FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRALLM reasoning → Test-time compute and efficient thinking +1
- Understanding Knowledge Transfer Mechanism in Heterogeneous MLLM Fusion: A Simple Linear ApproachMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- WikiLoop: Jointly Learning to Build and Navigate Agent-Native Wikis with Downstream FeedbackRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Living-Harness Is an Interactive-Agent EvolverLLM agents and tool use → Software engineering coding agents
- Decoupled Visual Processing: Efficient Multimodal Adaptation via Modality-Specific Transformer SubstitutionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model AgentsLLM agents and tool use → Medical and scientific domain agents
- MultiFixer: A Coordinator-Proposer Based Multi-Agent Framework For Fixing Multi-Hunk BugsLLM agents and tool use → Software engineering coding agents
- Eco3S: Complex Socio-Economic System Simulation via Agent-Based ModelsLLM agents and tool use → Social simulation and multi-agent debate
- ContactFlow: A video action conditioning that transfers across embodimentsWorld models → Embodied and robot world models
- Attack Ensembles Expose a Safety-Utility Trade-off in Black-Box Guard Defenses Against Encoded VLM JailbreaksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Prosody-driven Jailbreaks in Audio LLMs: A Controlled Study and Mechanistic AnalysisLLM safety and security → Audio jailbreaks and speech backdoors
- TPCD: Tone-Pressure Contrastive Decoding and the Label-Free Gating Bottleneck in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- AgentGFM: A Graph Foundation Model with Node-Agent Information-Flow ControlLLM agents and tool use → Web, search, and research agents
- CineWeaver: Training-Free Reference-Controllable Multi-Shot Long Video Generation for Cinematic StorytellingDiffusion models → Video generation
- EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety UnderstandingLLM reasoning → Chain-of-thought reasoning for driving
- Explicit Kinematic Guidance from Analytic Concepts for Vision-Language-Action ModelsVision-language-action models → 3D and spatial-aware VLA
- Collaborative Weighting with Pessimistic Critic for Mitigating Overestimation in Off-Policy Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- From Interface to Inference: Eliciting Any-Order Inference from Any-Order ModelsDiffusion models → Discrete and text diffusion
- BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation ParadigmsRetrieval-augmented generation → RAG pipeline design and evaluation +1
- EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural NetworksLLM agents and tool use → Web, search, and research agents
- DualDecoder: Accelerate Long Context LLM Inference by Predictive PrefetchEfficient LLM inference and serving → KV cache optimization
- CMT-RAG: Complementary Memory Traces for Multi-turn Multi-hop RAGLLM reasoning → Reasoning for agents, planning and code
- MultivationBench: A Benchmark for Multimodal Sequential Motivation ReasoningLLM reasoning → Multimodal reasoning +1
- RLMM-Flow: A Flow-based Mobile Manipulation Framework with Latent-Space Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Model-Free Q-Learning for Infinite-Horizon Stochastic Linear Quadratic Problems with Regime SwitchingDeep reinforcement learning methods → RL for games and combinatorial optimization
- CG-World: A Large-Scale World-State Dataset and Protocol for World ModelsWorld models → Video-generation world models and simulators
- ExplainBench: Evaluating Code Explanations from AgentsLLM agents and tool use → Software engineering coding agents
- Reinforcement Learning on Cost-Constrained Quadrupedal HardwareDeep reinforcement learning methods → RL for robot locomotion and manipulation
- FAS-R1: A Unified Multi-Task MLLM for Reasoning Face Anti-SpoofingLLM reasoning → Multimodal reasoning
- Existence-Field Diffusion Model for Spatial Point Processes with Variable CardinalityDiffusion models → Diffusion foundations and sampling
- Per-Context Reverse Curricula for Sparse-Reward Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Voice Memory for Agentic Speech RecognitionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Flow Map Learning via Nongradient Vector FlowDiffusion models → Flow matching, time series and science
- Knowledge before Reasoning: EC-Reason-Bench, a Training-Free Diagnostic Benchmark for LLM Enzyme ClassificationLLM reasoning → Clinical and biomedical applications
- CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction GamesLLM agents and tool use → Reinforcement learning for LLM agents
- "Nobody Did This": Contribution, Originality, and Accountability in Agent-Mediated CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- (Im)Paired Programming: Coding Agents Improve Productivity but Harm UnderstandingLLM agents and tool use → Software engineering coding agents
- Exploring Structures in Physics Problems: Can AI Agents Discover Statistical Mechanical Mappings?LLM agents and tool use → Web, search, and research agents
- Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-TuningDeep reinforcement learning methods → RL training of language and agent models
- Iterative Neural Variational Solver of Committor Function in Under-damped Langevin Dynamics
- Adversarial Course-of-Action Generation: Game-Theoretic Multi-Agent Algorithms for COA matching & COA generation
- Contrastive Siamese Representation Learning for Predictive Maintenance of Electrical Submersible Pumps
- From Generation to Detection: Exploration of Discourse Driven Scenario based LLM Generated Fake News
- PhysioBench: A Unified Benchmark for Physiological Signal Question Answering
- TinyCNN: A 193K-Parameter Network for On-Device Plant Disease Detection, with a Cross-Dataset Robustness Diagnosis
- Labeled Incidence Structures for Native Transformer Modeling of Text, Knowledge Graphs, and Hypergraphs
- Memoization Without Keys: Compact, Out-of-Core Tables for Functions of Sorted Arguments
- A Multi-Objective Optimisation Framework for Corticomuscular EEG-EMG Pair Selection in Hybrid BCI
- AI-Driven Real-Time Relay Optimisation in Smart Urban NR-V2X Networks via Learning-to-Optimise Graph Neural Networks
- Placement Is Free, Composition Is Not: The Latin Square as a Provably-Balanced Construction for Heterogeneous Sequence-Mixer Stacks
- Risk-Set Transported Synthetic Control with Difference-in-Differences Adjustment under Staggered Treatment Adoption
- How Far Can Sub-3B Open Language Models Go in Zero-Shot Essay Scoring on an 8 GB Consumer GPU?
- Evaluating Financial Sentiment in the Age of AI
- When Does Retrieval Help Time-Series Forecasting?
- VisKG-LM: Compiling Knowledge Graphs into Visual Memory for Multiple-Choice Question Answering
- Where Grokking Happens: Distributed Utility and Fourier Recoding Without a Module Switch
- Measuring AI harms with multidimensional Lorenz Zonoids
- Land Art as a Big-Data Climate Sensor
- PUFFER: Incremental Fuzzy Deduplication for Continuously Evolving Corpora
- From GenAI Virtual Patient Dialogue Logs to Teacher-Interpretable Process Evidence: A Learning Analytics Study in Higher Education
- LingShu: A Large-Scale Symptom-Centric Contextualized Knowledge Graph Bridging Traditional Chinese Medicine and Modern Biomedicine
- M3: A State-Event Generative Foundation Model for Market Microstructure Dynamics
- Improving Rural Medication Safety with AI: A Scoping Review
- Efficient Neural-Network-Based High-Resolution Radiative Transfer for CO___ Retrieval, and Application to Interferometric Sensing
- Synchronizing Beliefs with Second-Order Theory-of-Mind in Human-Autonomy Teams (Extended Version)
- Evidence-Based Scientific Question Discovery: A Framework with Historical Backtesting
- TREAT: Evaluating Access to Formal Knowledge across Equivalent Mathematical Representations
- From Pixels to PCells: A Neurosymbolic Approach to Photonic Component Creation
- Beyond Edge Maps: Wavelet-Domain Conditioning for Multi-Adapter Map-to-Satellite Diffusion
- LeapTalk: Breaking the Latency-Quality Trade-off in Talking Head Generation
- Device-First Feedback: Toward Mobile-Native LLM-Driven Neural Architecture Search
- K-space Gaussian Representation for Parallel MRI
- Explainable Multimodal AI for Adaptive Calibration of Archaeological Sensing Workflows
- Beyond Random Partitioning: Unsupervised Spatio-Temporal Stratification for Cohort Balancing in Longitudinal Medical Imaging
- Volcanic Clouds Detection through QCNN and Geostationary Satellite Multispectral Imagery
- Empirical investigation of 3D CT Foundation Models and Unsupervised Adaptation for Head and Neck Cancer Recurrence Prediction
- Hybrid Quantum CNN for Cross-Sensor Spaceborne Volcanic Thermal Activity Recognition Worldwide
- PhysAgent: A Multi-Agent Framework for Reliable Remote Heart Rate Estimation
- H+ Embedding: Harmonizing Global and Token-Level Retrieval with Context-Dependent Phrases
- MPP-GNN: Subject-Adaptive Community Detection for fMRI-Based Alzheimer's Disease Classification
- Multi-Agent Planning with Spatio-Temporal and Topological Constraints using STL-GO
- ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding
- SciDataSailor: Deep Scientific Data Exploring
- HOMER: Huber-of-Means for Efficient and Robust Estimation in Hilbert Spaces
- When Does Explicit View Routing Work? A Controlled Study of Multi-View Graph-Text Alignment
- Expanding Data-Agnostic Pivotal Instances Selection Models with Proximity Trees and Ensemble Learning
- Corrigible Assistance in One Round: Pragmatic-Pedagogic Best Response
- Sparsity Induced Identifiability in Matrix Tri-Factorisation
- A Lightweight Foundation Model for Collider Physics with Multi-Domain Adaptation
- A dataset of rated conceptual arguments
- MedLLM: An Open Medical Language Model at the Sub-Billion Scale
- INCLAIR: Inception-Based Longitudinal Clinical Anomaly Detection with Informed Reasoning
- Latent States in Neural Networks: Recovering the Temporal Structure of Drifting Data from Model Weights
- Schreier-Coset Graph Rewiring
- Entropy-Smooth Convex Optimization Cannot Be Accelerated
- OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval
- IGME: Efficient Chained Method Ensemble for Transferable Semantic Segmentation Attacks
- FADEx: Feature Attribution and Distortion-based Explanation of Dimensionality Reduction
- VAmoS Bench: Voice Agent Simulation Bench
- Neural Network-Assisted CLEAN for Channel Modeling in Low-SNR Regimes
- Comparison of a Parametric Physics-Informed Neural Network and a Tensorial Reduced-Order Model for the Shallow-Water Dam-Break Problem
- Rethinking Artificial Intelligence in Medical Imaging: Assumptions, Reality, and Reframing
- Adaptive Nystr"om for Gaussian Process Regression
- Good Rankers, Bad Objectives: Bilinear Contrastive Critics under Expressive Policy Search
- Selecting Open-Weight Language Models for Zero-Shot Intent Classification: A Systematic Evaluation of 41 Models
- Dimensionality and Measurement Precision in HLE's Multiple-Choice Subset
- Context-Informed Ship Trajectory Prediction via Conditional Attention
- Benchmarking LLM Competence on Logical Inference over Probability Operators
- ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders
- AHA-Memes: A Fine-Grained Multimodal Benchmark for Understanding Hate in Arabic Memes
- FunL2O: LLM-Guided Feature Function Design for Learning to Optimize
- The Convergence Behavior of Adam under Heavy-Tailed Noise
- PanDent: Toward Comprehensive Tooth-Level Structure-Language Consistency in Dental Radiology
- Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation
- Compression-Based Behavioral Similarity for Open-World Sybil Discovery on Ethereum
- PAUSE: A User-Centric Benchmark for Personal AI Assistants in Unified Service Environments
- Modeling Decisions in Blockchain Analytics: A Leakage-Aware Evaluation of Tree-Based vs. Sequential Models
- Bunraku: Turning a Single Illustration into an Editable Live2D Character
- Emulating Cosmic Structure Formation with a Lagrangian Neural Cellular Automaton
- ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution
- THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model
- An analysis of binary isotonic regression: degrees of freedom and implications for calibration
- MatCreatioNN: Machine learning-guided computational discovery of photocatalysts for environmental applications
- VETO: Towards Protecting Images From Frontier AI Editing
- EvoCause: LLM-Guided Evolution of Causal Graphs for Root Cause Analysis
- PIE-APT: Abductive Planning over Temporal Dynamic Knowledge Graphs via Incremental Reasoning
- Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data
- Benchmarking the Residual: What Long-Horizon Evaluations Add Beyond Matched Short-Task Performance
- Expected Survival-Time Bounds for Robust Optimization Over Time under Isotropic Gaussian Dynamics
- OVEarth-Bench: Evaluating Category Breadth and Query Diversity for Open-Vocabulary Earth Observation
- Rethinking EEG-Based Disease Diagnosis: Decoupling Instance Representation Learning from Subject-Level Supervision
- SDO: Structure-Aware Data Organization for Efficient LLM Post-Training
- RLPF: Reinforcement Learning from Performance Feedback for Code Generation
- Theatre Chapbooks At Scale: A Statistical Comparative Analysis of Typography
- PlatformBid: An Auto-Bidding Benchmark from a Unified Advertising Platform's Perspective
- DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series
- LLM-Guided Initialization for Accelerated Hybrid Quantum-Classical Medical Image Classification
- Regularizing modality contribution drift in multimodal continual learning
- PlantBGC: Transformer for Plant BGC Discovery via Label-Free Domain Adaptation and Weak Supervision
- From Classification to Regression: Using a Fruitfly to Solve Equations
- VidMap: Exploiting Temporal Structure for Video-Based Structure-from-Motion
- Can AI agents conduct open-ended AI research? Early evidence from two case studies
- APEX-Accounting
- Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes
- Pangram 4 Technical Report
- The Social Cost of an AI Teammate: How an Artificial Teammate Reshapes Human-Human Communication in Small-Team Decision-Making
- DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search
- Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork
- Improving Item Discoverability in e-Commerce Search via Related Intent Generation
- When Do Learned Diffusion Proposals Help Constraint Solving? A Controlled Study on Continuous Algebraic Systems
- Skillful forecasting of offshore winds from satellite scatterometer constellations
- Cost-Sensitive Conformal Prediction and Human-in-the-Loop Abstention for Imbalanced High-Stakes Decision Support: A Multi-Domain Benchmark
- Investigating reservoir computing for branch prediction in pipelined processors using emerging CMOS memristor devices
- SeasonStereo: Robust Dense Stereo Matching for Multi-Date Satellite Imagery via Generative AI
- Linguistic Monoculture in LLM-Assisted Language Use
- Minimal Markovization via Stable Quotients in Holonomy-Cover Decision Processes
- AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching
- Voronoi Histograms for Adaptive Vectorization of Expected Persistence Diagrams
- Towards Grounded GI Endoscopy VQA via Multi-Task Learning on Small VLMs
- MMAC: A Massive Multi-dimensional Benchmark for Audio Captioning
- Hierarchical Spatio-Temporal Transformer for Coherent Emergency Department Forecasting
- Detecting seizure onset and offset times using human intelligence: A critical-transitions-based approach
- Sky sphere representation in language models
- Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation
- SciFigQual-Bench: A Benchmark for Scientific Figure Quality Assessment with Full-Manuscript Context
- Field Codes for Distributed Coupling Samplers and Certified Empirical Transport
- Equilibrium Training of Energy-Based Models with Parallel Trajectory Tempering
- Single-Beat Cuffless Blood Pressure Estimation Using Ear-PPG and ECG with a Lightweight Hybrid Learning Framework
- Parameter-Free Dynamic Regret under Heavy-Tailed Noise
- SciFigAlign: Scoring Scientific Figures by Fine-tuned Alignment of Visuals with Manuscript Evidence
- ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection
- PIKS: Universal Physics-Informed Kernel Methods
- Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation
- GPTQ-2D: Cubic-Time Two-Sided Adaptive Rounding
- Lottery Tickets Are Not Deployment Tickets
- HoF-Bench: Rediscovering Real AI-Discovered CVEs Without Frontier Models
- TreeCCA: Canonical Correlation Analysis via Gradient-Boosted Trees
- BayesAME: Bayesian Active Model Evaluation
- Evaluating Regional Bias in LLMs From Abstract Stereotype to Concrete Social Decision-Making
- On the robustness of noisy solutions in non-convex neural networks
- Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark
- A Compositional Theory of Causally Masked Transformers
- SymmGrid: Super-Scaling On-Robot Learning with Parallelized Symmetries and Egocentric-Exocentric Visual Perception
- Using large language models to probe the limits of atom-centered structural descriptors
- OptimismBench: Forecasting Bias and the Alignment Effect in Language Model Judgment
- InkShield: Writing Style Protection Against Unauthorized Handwriting Mimicry
- Robust RPC Bundle Adjustment for Multi-Date Satellite Imagery with Season-Invariant Correspondences
- Generation or Judgement? A Paradigm Perspective on LLM-Based Emotion-Cause Pair Extraction in Conversation
- Feature Bagging Provides Stability
- Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions
- Belief-Guided Decision Making with Uncertainty Gating in the Game of Go
- Surrogate assisted diversity estimation in neural ensemble search
- What Does It Take to Detect an AI Agent? Minimal Feature Sets for Behavioral Detection under Browser Automation
- Defending Against Backdoor Attacks via Alignment Checking in Model-Contrastive Federated Learning
- Same Evidence, Different Target: Decoding How Diagnostic Evidence Bears on Causal Questions from Language-Model States
- Latent-IM: Latent Interaction Management for Speech LLMs
- From Keypoints to Predictive Distributions: Post-Hoc Uncertainty for YOLO-Pose Models
- BioVLN: A Simulation Platform for Visual Language Navigation in Biomedical Laboratories
- Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing
- From Passive Video to Editable Experience: Physically Grounded Experience Synthesis for Embodied Intelligence
- Human diversity fuels collective creativity that large language models cannot simulate or sustain
- StructureGS: Structure-aware Gaussian Splatting for Articulated Object Reconstruction
- Conformalized Rate-Adaptive Sensing
- Amortized Moment Matching for Visual Generation
- No Data Is Not No Risk: Visibility Aware Graph-Based Inference of Business Conduct Risk
- TREA-Net: A Transferable Residual Epidemiological Adaptation Network for Dengue Incidence Forecasting
- From Representations to Behaviors: Exploring the Person-Situation-Behavior Triad in LLMs
- ICDAR 2026 Competition on Information Extraction from Atomic Layer Deposition/Etching (ALD/E) Scientific Figures
- Tight Generalization Bound for AdaBoost
- Kairos: Numerically Robust News Recommendation under Item Cold-Start via Cholesky-based LinUCB
- Language Models are not Equally Robust to Non-Canonical Tokenization across Languages
- BATS: Resource-Efficient Volumetric Segmentation with Boundary-Aware Mixed-Resolution Tokens
- Budget-Aware LLM Discovery via Cost-Calibrated Frontier Utility
- AI as Friction for Reflection Support in Ideation
- From Found to Designed: Concepts as a Design Axis for Large Language Models
- Forecasting Trajectory-Level Safety Risks in Black-Box Multi-Turn Interactions
- Ripple: Real-Time Streaming Audio-Video Generation With Cross-Modal Recurrent Memory
- From Uncertainty to Determinism: Coarse-to-Fine Visual Floorplan Localization without Ray Matching
- DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation
- FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning
- PRISM-Net: Patient-specific reference-guided inter-breast symmetry matching for three-class breast DCE-MRI classification
- When Does Span-Guided Detoxification Help? Human Preferences and Evaluator Diagnostics in a Controlled Comparison
- Crossing-Free Probabilistic K-Line Forecasts Without Retraining
- Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach
- Property-driven Causal Abstractions for Markov Decision Processes
- Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case
- Journey Operators for Structured Multi-Axis Composition
- MediaWiki Code2Code Search: Neural Retrieval for the Semantic Discovery of Open-Source Software Entities
- Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification
- Long-Tailed 3D Point Cloud Dataset Distillation
- Relation Geometry in Semantic Space of Language Models
- Compactly supported radial basis functions as probability density functions
- An Attention-Based Framework for Alzheimers Disease Classification Using Resting-State fMRI
- Multimodal fusion of visual and morphometric features for avian bone classification
- Zero-Shot Face-to-Speech Synthesis via Latent Space Adaptation of a Style-Diffusion TTS Model
- Domain adaptation for handwriting trajectory reconstruction from IMU sensors
- Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network
- CASIAL: Geometric Distortion Robust Image Watermarking
- AtmosERC: Modeling Dialogue-Level Affective Atmosphere for Emotion Recognition in Conversation
- PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems
- Mixture-of-experts for handwriting trajectory reconstruction from IMU sensors
- Early Failure Prediction from Near-Anomaly Detection: A Proactive Approach
- Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras
- Automated Multilabel Mpox Research Classification with Explainable Transformer Models
- Universality and Approximation Rates of Graph Neural Networks with Random Features
- MPEcho: A Melody and Phoneme-Aware Generative Framework for Controllable Cover Song Generation
- Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generation
- An Informativeness-based Clustered Federated Learning Method for Reliable Traffic Prediction in Managed Wi-Fi Networks
- Scientific Knowledge Discovery in the Age of Large Language Models
- Constitutional Midtraining: Content Presence Drives Alignment Gains
- AIGen: Automating AI Bill of Materials Generation Through Hybrid MLOps Integration
- Physically Real-time Infrared Attack against Optical Flow Estimation Networks
- The Sparsity Ceiling: Where Spiking Networks Can and Cannot Trade Activity for Energy
- Genie Sim PanoWorld: An Infinite Indoor 3D World Generation Pipeline via Panoramic Scene Modeling and Simulation
- FPSGen: Flexible Point Cloud Scene Generation with BEV-Supported Transport Flows
- AlphaSchema: Exploring the Space of Trading Semantics for LLM-Based Alpha Mining
- FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarking
- Contrastive ESA: Human Evaluation of Multiple Translations at Once
- Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method
- Understanding Context Sampling in TabPFN on Small Tabular Datasets
- Enhancing Automated Machine Learning via Homogeneous Train-Test Splitting Methods
- Fewer Clarifications, Better Code: Benchmarking Cross-Session Personalized Ambiguity Adaptation in Coding Assistants
- Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement
- Harnessing Large Language Models for Intelligent Resource Allocation in the Internet of Everything
- JEPADepth: Masked Predictive Representation Learning for Self-Supervised Monocular Depth Estimation
- Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation
- SpatialQ: Understanding 3D Gaussian Splatting Scene Quality via Visual-based MLLM
- The Implementation Lottery: Auditing Idea Reliability in Automated Research
- R-SLPR: Region-based Small-to-Large Point-cloud Registration with Contrastive Learning
- Level, Sharpness, and Corpus: Why Zero-Shot OOD Detector Rankings Do Not Transfer
- Benchmarking ConvLSTM for One-Day-Ahead IMDAA Rainfall-Field Prediction across Four Indian Cities
- Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models
- 3DGBGS: 3D Granular Ball Gaussian Splatting for Compact Novel View Synthesis
- Simultaneous Coverage and Efficiency Guarantee in Online Conformal Prediction
- From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs
- Speech2Grasp: Data-Efficient Transfer of Text-Conditioned Grasp Detection to Speech in Humanoid Robots
- ServerlessT2I: Efficient Text-to-Image Workflow Serving on a Serverless Platform
- Representation Trajectories Matters: Complementary Evidence for OOD Detection and Image Classification
- Adaptive Gradient-Based Methods for a Broader Class of Optimization Problems under Performative Prediction
- Where Detectors Fail: Closing the Tail-Domain Gap with Expert-Guided Mutual Distillation
- A Persona-based Rate Action Index
- From Spatial Semantics to Temporal Context: Leveraging Gaze Trajectory for Weakly Supervised Medical Image Segmentation
- Shared Symbolic Backbones for Physically Consistent Multi-Output Symbolic Regression
- The Art of Not Forgetting A Local Learning Architecture for Continual Learning
- From Unsupervised Subgroups to Hypothetical State-Intervention Policies: An Evaluation of Selected Subgrouping Methods in Observational Health Data
- A Graph-Native Bitemporal Memory Store for Conversational AI Agents
- HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models
- Evidence-Ledger Adjudication for Claim-Evidence Traceability
- Semantic-Aware Temporal Adaptation for UAV Anti-UAV Tracking
- HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT
- From Conceptual Hydrologic Models to Conceptually Interpretable Neural Networks: A Snow-Water Mass-Conserving-Perceptron Framework for Discovering Catchment-Scale Precipitation-Storage-Runoff Representations
- LLMET: Enabling Cross-Layer Evaluation of Emerging M3D Memories for Energy-Efficient LLM Serving
- Parameterized Fair Resource Allocation under Diversity Constraints
- Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations
- Learning Dynamic User Personas from Implicit Interaction Streams via Iterative Refinement
- Audio-Anchored Fusion of Multi-Ratio DiT Reconstruction Residuals for Cross-Domain Audio Deepfake Detection
- Neural Architecture Search for Traffic Prediction: A Survey of Methods, Challenges, and Future Directions
- PUDA: An AI-Native Hardware Harness for Self-Driving Laboratories
- Interpretable Image-Level Acne Severity Grading via EfficientNet-B0 Transfer Learning and Grad-CAM
- Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting
- DHRCL:Training Code LLMs with Dense Hierarchical Rewards and Curriculum Learning
- ForgetBench: Benchmarking Forgetting Dynamics of Long-Term Parametric Memory in Language Models
- Mergeable Model-Side Aggregation States for Long-Context Language Models
- Origins and mitigation of double descent in reduced order modeling
- When Fish Look Alike: Tracking Identities with Dual-branch Elasticity
- Do Unified Multimodal Models Think in One Space? A Lens Through Cross-Branch Steering
- How Much Does Message Passing Matter? A Drop-In Study of GNN Layers for Neural Network Graph Regression
- Registration-Grounded Spectral Fusion for Unregistered WLI/NBI Endoscopic Lesion Segmentation
- Q-Steer: Action-Value Guidance for Molecular Policy Optimization
- Misalignment Has a Personality: A Big Five Account of Emergent Misalignment
- Collusion with Competitive Marginals: Price-Level Audits Are Blind by Construction
- Zero-Fi: Zero-Shot Wi-Fi-Based Human Activity Recognition via Contrastive Signal-Language Alignment
- Self-Adaptive Learning and Model Predictive Control for Tracking Unknown Dynamics with No Regret
- ClockRoPE: Random Fourier Rotations for Temporal Routine Modeling
- Diagnosing Fine-Grained Inconsistency Classification in Financial Disclosure Text
- High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption
- Symphony of Bias: Exploring Gender Associations with Musical Instruments in Multimodal LLMs