Papers
Thu 21 May 2026
573 papers
- Standalone LLM and a Pre-specified Agentic Pipeline for Explaining ICU Mortality Predictions: a Feasibility Study on the eICU Demo DatasetLLM agents and tool use → Medical and scientific domain agents
- KVBoost: Chunk-Level Key-Value Cache Reuse with Deviation-Guided Recomputation for Efficient Large Language Model InferenceEfficient LLM inference and serving → KV cache optimization
- OncoTriad-QA: A Patient-Level Radiology-Pathology-Genomics Benchmark for Pan-Cancer ReasoningLLM reasoning → Clinical and biomedical applications
- VLD-RAG: Agentic Vision-Language Retrieval-Augmented Generation for Long, Visually-Rich Multi-Page DocumentsRetrieval-augmented generation → Multimodal RAG +1
- DecodeShare: Tracing the Shared Subspace of LLM Decode-Time DecisionsEfficient LLM inference and serving → Early exit and edge inference
- FormulaSPIN: Self-Play Fine-Tuning for Natural Language to Spreadsheet Formula GenerationSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- Structured Synthetic Reasoning Data for Arithmetic Fine-Tuning of Small Language ModelsLLM reasoning → Mathematical reasoning +1
- Simulating Hate Speech Cascades with Multi-LLM Agents: Empirical Grounding, Modeling Fidelity, and Intervention StrategiesLLM agents and tool use → Social simulation and multi-agent debate
- Molecular Lead Optimization via Agentic Tool PlanningLLM agents and tool use → Medical and scientific domain agents
- E3-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative InferenceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security ImplicationsLLM safety and security → Membership inference attacks
- More Skills, Worse Agents? Skill Shadowing Degrades Performance When Expanding Skill LibrariesLLM agents and tool use → Agent skill learning and evolution
- Mixture of Complementary Agents for Robust LLM EnsembleLLM agents and tool use → General LLM agent frameworks and benchmarks
- SVR-MAD: A Bayesian-Inspired Framework for Posterior-Guided Multi-Agent DebateLLM agents and tool use → Social simulation and multi-agent debate
- Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent DynamicsWorld models → Latent predictive world models
- The Attribution Contract for Generative Language ModelsMixture-of-experts → MoE large language models
- GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMsMixture-of-experts → MoE large language models
- PathCal: State-Aware Reflection-Marker Calibration for Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
- Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching ModelsDiffusion models → Flow matching, time series and science
- What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QALLM agents and tool use → Agent memory systems
- A measurement substrate for agentic Kubernetes operations: Methodology and a case study in retrieval-compounding falsificationLLM agents and tool use → General LLM agent frameworks and benchmarks
- RequestRouter: Request-Boundary Routing for Efficient Single-GPU LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- Model Collapse as Cultural EvolutionSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- DreamerNLplus: Interpretable Modeling of Mental Health Dynamics from Social Media Timelines using Hybrid Rule-Based and RAG MethodsRetrieval-augmented generation → Medical and biomedical RAG
- HawkesLLM: Semantic Uncertainty Propagation in Agentic Text SimulationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic TopographyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Brain-LLM Alignment Tracks Training Data, Not TypologyLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- World Machine: Towards Generative World Modeling for Time-SeriesWorld models → World models for language agents
- How to Steer Your Multi-Agent System: Human-LLM Collaborative PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- PACE: Two-Timescale Self-Evolution for Small Language Model AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in AutismLLM agents and tool use → Medical and scientific domain agents
- Test-Time Training Undermines Safety GuardrailsLLM safety and security → Safety alignment, refusal and guardrails
- Learned Relay Representations for Forward-Thinking Discrete Diffusion ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model CoordinationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Learnability-Informed Fine-Tuning of Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query GenerationLLM reasoning → Test-time compute and efficient thinking
- AI-Friendly LaTeX: Using LaTeX Code as a Knowledge Source for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Seeing without Looking: Do Vision-Language Benchmarks Really Test Vision?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Transcoders Trace Visual Grounding and Hallucinations in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- From Residuals to Reasons: LLM-Guided Mechanism Inference from Tabular DataLLM reasoning → Clinical and biomedical applications
- Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action ModelsVision-language-action models → Reinforcement learning and post-training +1
- SCRIPT: Scalable Diffusion Policy with Multi-stage Training for Language-driven Physics-Based Humanoid ControlDiffusion models → Diffusion and flow policies for robotics
- Tensor Cache: Eviction-conditioned Associative Memory for TransformersEfficient LLM inference and serving → KV cache optimization
- MotiMotion: Motion-Controlled Video Generation with Visual ReasoningLLM reasoning → Multimodal reasoning
- AwareVLN: Reasoning with Self-awareness for Vision-Language NavigationLLM reasoning → Spatial and embodied reasoning +1
- GesVLA: Gesture-Aware Vision-Language-Action Model Embedded RepresentationsVision-language-action models → Generalist VLA models and benchmarks
- MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Gated DeltaNet-2: Decoupling Erase and Write in Linear AttentionState-space sequence models (S4, Mamba) → Core SSM architectures for language
- LCGuard: Latent Communication Guard for Safe KV Sharing in Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents +1
- DeltaBox: Scaling Stateful AI Agents with Millisecond-Level Sandbox Checkpoint/RollbackLLM agents and tool use → Software engineering coding agents
- FAME: Failure-Aware Mixture-of-Experts for Message-Level Log Anomaly DetectionMixture-of-experts → Expert routing strategies
- DecQ: Detail-Condensing Queries for Enhanced Reconstruction and Generation in Representation AutoencodersDiffusion models → Diffusion foundations and sampling
- SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival AnalysisDiffusion models → Diffusion foundations and sampling
- MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking DataState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State ReformulationDiffusion models → Diffusion foundations and sampling
- Advancing Mathematics Research with AI-Driven Formal Proof SearchLLM reasoning → Mathematical reasoning
- SeqLoRA: Bilevel Orthogonal Adaptation for Continual Multi-Concept GenerationDiffusion models → Image generation, text-to-image and editing
- ChronoMedKG: A Temporally-Grounded Biomedical Knowledge Graph and Benchmark for Clinical ReasoningLLM reasoning → Clinical and biomedical applications
- The Value of Covariance Matching in Gaussian DDPMs and the Lanczos SamplerDiffusion models → Diffusion foundations and sampling
- Self-Evolving Multi-Agent Systems via Decentralized MemoryLLM agents and tool use → Agent memory systems
- WorldKV: Efficient World Memory with World Retrieval and CompressionDiffusion models → Video generation +1
- Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music GeneratorsDiffusion models → Audio, speech and music
- Abstraction for Offline Goal-Conditioned Reinforcement LearningOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Clipping Bottleneck: Stabilizing RLVR via Stochastic Recovery of Near-Boundary SignalsLLM reasoning → Reinforcement learning for reasoning
- Scientific reasoning does not reliably translate into scientific forecasting in frontier AILLM reasoning → Knowledge- and tool-augmented reasoning
- Conceptualizing Embeddings: Sparse Disentanglement for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- From Abstraction to Instantiation: Learning Behavioral Representation for Vision-Language-Action ModelVision-language-action models → Generalist VLA models and benchmarks
- SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- MBABench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in FinanceLLM agents and tool use → Financial trading and forecasting agents
- SegCompass: Exploring Interpretable Alignment with Sparse Autoencoders for Enhanced Reasoning SegmentationLLM reasoning → Multimodal reasoning
- What Does the Caption Really Say? Counterfactual Phrase Intervention for Compositional Data Selection in Vision-Language PretrainingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image PromptersMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Boiling the Frog: A Multi-Turn Benchmark for Agentic SafetyLLM agents and tool use → Agent threats, guardrails and governance
- Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement LearningLLM agents and tool use → Financial trading and forecasting agents
- Two is better than one: A Collapse-free Multi-Reward RLIF Training FrameworkLLM reasoning → Reinforcement learning for reasoning
- Agentic CLEAR: Automating Multi-Level Evaluation of LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive AgentsLLM reasoning → Reasoning benchmarks and evaluation +1
- Factored Diffusion Policies:Compositionally Generalized Robot Control with a Single Score NetworkDiffusion models → Diffusion and flow policies for robotics
- A Tutorial on Diffusion Theory: From Differential Equations to Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video SynthesisLLM reasoning → Spatial and embodied reasoning +1
- LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint GuidanceLLM reasoning → Reasoning benchmarks and evaluation
- GraphFlow: A Graph-Based Workflow Management for Efficient LLM-Agent ServingLLM reasoning → Reasoning for agents, planning and code +1
- SynAE: A Framework for Measuring the Quality of Synthetic Data for Tool-Calling Agent EvaluationsLLM agents and tool use → Tool learning and function calling
- GeoWeaver: Grounding Visual Tokens with Geometric Evidence before Scene ReasoningLLM reasoning → Spatial and embodied reasoning +1
- F-TIS: Harnessing Diverse Models in Collaborative GRPOLLM reasoning → Reinforcement learning for reasoning
- SpaceDG: Benchmarking Spatial Intelligence under Visual DegradationLLM reasoning → Spatial and embodied reasoning +1
- Why Are Agentic Pull Requests Merged or Rejected? An Empirical StudyLLM agents and tool use → Software engineering coding agents
- "Refactoring Runaway": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue ResolutionLLM agents and tool use → Software engineering coding agents
- Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented ReasoningLLM reasoning → Reasoning for agents, planning and code
- LACO: Adaptive Latent Communication for Collaborative DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
- Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less CostLLM agents and tool use → Software engineering coding agents
- Understanding Multimodal Failure in Action-Chunking Behavioral CloningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Supervised Classification Heads as Semantic Prototypes: Unlocking Vision-Language Alignment via Weight RecyclingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MaSC: A Masked Similarity Metric for Evaluating Concept-Driven GenerationDiffusion models → Image generation, text-to-image and editing
- Pre-VLA: Preemptive Runtime Verification for Reliable Vision-Language-Action and World-Model RolloutsWorld models → Embodied and robot world models +1
- Asymmetric Virtual Memory Paging for Hybrid Mamba-Transformer InferenceState-space sequence models (S4, Mamba) → Core SSM architectures for language
- From Recognition to Reasoning: Benchmarking and Enhancing MLLMs on Real-World Receipt Document UnderstandingLLM reasoning → Multimodal reasoning
- Unified Data Selection for LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Boundary-targeted Membership Inference Attacks on Safety ClassifiersLLM safety and security → Membership inference attacks
All 573
- AgroTools: A Benchmark for Tool-Augmented Multimodal Agents in AgricultureLLM agents and tool use → Multimodal and embodied agents
- Integrating Chain-of-Thought into Generative Retrieval: A Preliminary StudyLLM reasoning → Knowledge- and tool-augmented reasoning
- Bernini: Latent Semantic Planning for Video DiffusionLLM reasoning → Multimodal reasoning +2
- From Snapshots to Trajectories: Learning Single-Cell Gene Expression Dynamics via Conditional Flow MatchingDiffusion models → Flow matching, time series and science
- Meta-Soft: Leveraging Composable Meta-Tokens for Context-Preserving KV Cache CompressionEfficient LLM inference and serving → KV cache optimization
- ASEval: Automated Trajectory-Level Security Testing for Autonomous AgentsLLM agents and tool use → Agent threats, guardrails and governance
- PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion ModelsDiffusion models → Image generation, text-to-image and editing +1
- Spatial Memory for Out-of-Vision Manipulation in Vision-Language-ActionVision-language-action models → 3D and spatial-aware VLA
- Exposing Vulnerabilities in Visible-Infrared VLMs: A Unified Geometric Adversarial Framework with Cross-Task TransferabilityMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- MuKV: Multi-Grained KV Cache Compression for Long Streaming Video Question-AnsweringLLM reasoning → Test-time compute and efficient thinking +1
- Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Harder to Defend: Towards Chinese Toxicity Attacks via Implicit Enhancement and Obfuscation RewritingLLM safety and security → Safety alignment, refusal and guardrails
- Evaluating Large Language Models as Live Strategic Agents: Provider Performance, Hybrid Decomposition, and Operational Gaps in Timed Risk PlayLLM agents and tool use → General LLM agent frameworks and benchmarks
- SGR-Bench: Benchmarking Search Agents on State-Gated RetrievalLLM agents and tool use → Web, search, and research agents
- Survive or Collapse: The Asymmetric Roles of Data Gating and Reward Grounding in Self-Play RLSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- CLORE: Content-Level Optimization for Reasoning EfficiencyLLM reasoning → Test-time compute and efficient thinking
- GALAR-TemporalNet v2: Anatomy-Guided Dual-Branch Temporal Classification with Bidirectional Mamba and Dual-Graph GCN for Video Capsule Endoscopy -- after competition resultsState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven LearningMultimodal LLMs / vision-language models → Image editing and quality assessment +2
- Evaluation of Chunking Strategies for Effective Text Embedding in Low-Resource Language on Agricultural DocumentsRetrieval-augmented generation → Multimodal RAG
- Reinforced Graph of Thoughts: RL-Driven Adaptive Prompting for LLMsLLM reasoning → Knowledge- and tool-augmented reasoning
- Enhancing Multimodal Large Language Models for Safety-Critical Driving Video AnalysisMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Action with Visual PrimitivesVision-language-action models → Generalist VLA models and benchmarks
- Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Measuring Cross-Modal Synergy: A Benchmark for VLM ExplainabilityMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM AgentsLLM agents and tool use → Software engineering coding agents
- World Model Control by Trajectory Reachability MetricsWorld models → Latent predictive world models
- ST-SimDiff: Balancing Spatiotemporal Similarity and Difference for Efficient Video Understanding with MLLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- One-Way Policy Optimization for Self-Evolving LLMsLLM reasoning → Reinforcement learning for reasoning +1
- IdleSpec: Exploiting Idle Time via Speculative Planning for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Flow-based Gaussian Splatting for Continuous-Scale Remote Sensing Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent SystemsLLM agents and tool use → Multimodal and embodied agents
- Efficient Agentic Reasoning Through Self-Regulated Simulative PlanningWorld models → World models for language agents +2
- Cross-Lingual Consensus: Aligning Multilingual Cultural Knowledge via Multilingual Self-ConsistencyLLM reasoning → Reasoning benchmarks and evaluation
- Perception or Prejudice: Can MLLMs Go Beyond First Impressions of Personality?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- ExComm: Exploration-Stage Communication for Error-Resilient Agentic Test-Time ScalingLLM reasoning → Reasoning for agents, planning and code +1
- A Comparative Study of Language Models for Khmer Retrieval-Augmented Question AnsweringRetrieval-augmented generation → RAG pipeline design and evaluation
- Narrative Sharpens Gender Gaps: Surveying Film Characters with LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving ModelWorld models → World models for autonomous driving +2
- RobustSpeechFlow: Learning Robust Text-to-Speech Trajectories via Augmentation-based Contrastive Flow MatchingDiffusion models → Audio, speech and music
- JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model EvaluationMultimodal LLMs / vision-language models → Medical vision-language models
- Enhancing Visual Token Representations for Video Large Language Models via Training-Free Spatial-Temporal Pooling and GriddingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Faithful-MR1: Faithful Multimodal Reasoning via Anchoring and Reinforcing Visual AttentionLLM reasoning → Multimodal reasoning +1
- FlyRoute: Self-Evolving Agent Profiling via Data Flywheel for Adaptive Task RoutingLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- EasyVFX: Frequency-Driven Decoupling for Resource-Efficient VFX GenerationMixture-of-experts → Vision mixture-of-experts
- Broken Memories: Detecting and Mitigating Memorization in Diffusion Models with Degraded GenerationsDiffusion models → Diffusion foundations and sampling
- Active Evidence-Seeking and Diagnostic Reasoning in Large Language Models for Clinical Decision SupportLLM reasoning → Clinical and biomedical applications
- RADAR: Defending RAG Dynamically against Retrieval CorruptionRetrieval-augmented generation → Privacy and security of RAG
- GA-VLN: Geometry-Aware BEV Representation for Efficient Vision-Language NavigationLLM reasoning → Spatial and embodied reasoning
- SO-Mamba: State-Ownership Mamba for Unrolled MRI ReconstructionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Diverse Yet Consistent: Context-Guided Diffusion with Energy-Based Joint Refinement for Multi-Agent Motion PredictionDiffusion models → Video generation
- ORBIS: Output-Guided Token Reduction with Distribution-Aware Matching for Video Diffusion AccelerationDiffusion models → Diffusion foundations and sampling +1
- PointLLM-R: Enhancing 3D Point Cloud Reasoning via Chain-of-ThoughtLLM reasoning → Spatial and embodied reasoning
- LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent ReasoningLLM reasoning → Audio-language model reasoning +1
- Rethinking Token Reduction for Diffusion Models via Output-Similarity-AwarenessDiffusion models → Diffusion foundations and sampling +1
- Blind Spots in the Guard: How Domain-Camouflaged Injection Attacks Evade Detection in Multi-Agent LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance
- The Log is the Agent: Event-Sourced Reactive Graphs for Auditable, Forkable Agentic SystemsLLM agents and tool use → Agent memory systems
- From Patches to Trajectories: Privileged Process Supervision for Software-Engineering AgentsLLM agents and tool use → Software engineering coding agents
- RiT: Vanilla Diffusion Transformers Suffice in Representation SpaceDiffusion models → Flow matching, time series and science
- Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information FlowMultimodal LLMs / vision-language models → Multimodal emotion understanding
- Reasoning through Verifiable Forecast Actions: Consistency-Grounded RL for Financial LLMsLLM reasoning → Reasoning for agents, planning and code
- Foresee-to-Ground: From Predictive Temporal Perception to Evidence-Driven Reasoning for Video Temporal GroundingLLM reasoning → Multimodal reasoning
- Reinforced Preference Optimization for Reasoning-Augmented RecommendationsLLM reasoning → LLM reasoning for recommendation
- SpecHop: Continuous Speculation for Accelerating Multi-Hop Retrieval AgentsLLM agents and tool use → Web, search, and research agents
- ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care DataWorld models → Medical and surgical world models
- Diagnosis Is Not Prescription: Linguistic Co-Adaptation Explains Patching Hazards in LLM PipelinesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Detecting Offensive Cyber Agents: A Detection-in-Depth ApproachLLM agents and tool use → Agent threats, guardrails and governance
- MLLMs Know When Before Speaking: Revealing and Recovering Temporal Grounding via Attention CuesMultimodal LLMs / vision-language models → Video understanding with MLLMs
- NasZip: Software and Hardware Co-Design to Accelerate Approximate Nearest Neighbor Search with DIMM-Based Near-Data ProcessingRetrieval-augmented generation → Vector search and ANN indexes +1
- Dynamic Mixture of Latent Memories for Self-Evolving AgentsMixture-of-experts → Mixture of LoRA experts
- Claim-Selective Certification for High-Risk Medical Retrieval-Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
- Visual-Advantage On-Policy Distillation for Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning TasksLLM reasoning → Multimodal reasoning +2
- Noise Schedule Design for Diffusion Models: An Optimal Control PerspectiveDiffusion models → Diffusion foundations and sampling
- Guided Trajectory Optimization with Sparse Scaling for Test-Time DiffusionDiffusion models → Diffusion foundations and sampling
- Token-weighted Direct Preference Optimization with AttentionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Thermo-VL: Extending Vision-Language Models to Thermal Infrared PerceptionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot ControlVision-language-action models → Efficient VLA inference and adaptation
- PhylaFlow: Hybrid Flow Matching in Billera-Holmes-Vogtmann Tree Space for Phylogenetic InferenceDiffusion models → Flow matching, time series and science
- The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT TruncationLLM reasoning → Prompting and chain-of-thought reasoning
- CrossVLA: Cross-Paradigm Post-Training and Inference Optimization for Vision-Language-Action ModelsVision-language-action models → VLA architectures and generalization +2
- Seizure-Semiology-Suite (S3): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology UnderstandingMultimodal LLMs / vision-language models → Medical vision-language models
- OPPO: Bayesian Value Recursion for Token-Level Credit Assignment in LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- ACC: Compiling Agent Trajectories for Long-Context TrainingLLM reasoning → Reasoning for agents, planning and code +1
- STATERA: Hidden Mass Estimation via Zero-Shot Sim-to-Real Kinematics using Frozen Temporal Tubelets
- When to Communicate: Belief Distributions and KL Divergence for Principled Gating in Multi-Agent RL
- RIG-RoPE: Relation-Stratified Multimodal Attention with Instance-Local Rotary Geometry and Representation-Aware Traversal Coordinates
- Dream machine -- the next creative economy
- From Lexicon to AI: A Structured-Data Pipeline for Specialized Conversational Systems in Low-Resource Languages
- Distributed Quantum Learning over Near-term Devices: Convergence Analysis and Security Design
- Trust in Generative AI for Health Information Consumption and the Effect of Learned Dependency: An Experimental Investigation
- Tracking Urban Atmospheric Pollutants using Sentinel-5P Satellite Data
- Rashomon-Seeded Annealing for Robust Bayesian Inference in Factorial Designs
- CLSP-REQA: A Real-Time Quality-Aware Closed-Loop Seizure Prediction Framework with Mamba-BiLSTM and Confidence-Gated Intervention
- Rare Events, Real Signals: Functional Ensembles as Units of Computation in Deep Spiking Networks
- Self-Play Reinforcement Learning under Imperfect Information in Big 2
- Comment on "Spin-1/2 Kagome Heisenberg Antiferromagnet: Machine Learning Discovery of the Spinon Pair-Density-Wave Ground State"
- Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT?
- Eroding Trust in Real Speech: A Large-Scale Study of Human Audio Deepfake Perception
- SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection
- EMMA: Extracting Multiple physical parameters from Multimodal Data
- A Large-Scale Dataset and Benchmark: Do Protein-Ligand Models Learn Binding Sites or Just Binding Likelihood?
- LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs
- Hidden-State Privacy Has an Empty Middle
- Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation
- Learning to See Like Humans: Gaze-Aligned Cycling Safety Prediction
- Aurora Hunter: A Two-Stage Framework for Probabilistic Visibility Forecasting
- Mode-as-Sequence: Translating Multimodal Motion Prediction into Unified Sequential Mode Modeling
- WTKO-CNN: Deep Learning Reveals Sequence Motifs Distinguishing Wild-Type and Knockout ATAC-seq Peaks
- Towards Verifiable Transformers: Solver-Checkable Circuit Explanations
- Is a Document Educational or Just Wikipedia-Style? -- Pitfalls of Classifier-Based Quality Filtering
- Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empirical Study
- A Fine-Tuned BERT Classifier for Personal-Letter Titles in Late-Ming and Early-Qing Collected Works
- LLM Sparsity Prior for Robust Feature Selection
- Mode-Shape Expansion Using Physics-Constrained Gaussian Process Regression
- Encrypted Neural Networks without Overflows
- Do Synthetic Brain MRIs Reliably Improve Tumour Classification? A StyleGAN2-ADA Class-Plane Augmentation Study on BRISC 2025
- A Comparative Evaluation of Structural Topic Models and BERTopic for Short, Open-Ended Survey Responses
- Security of LLM-generated Code: A Comparative Analysis
- The Implicit Bias of Depth: From Neural Collapse to Softmax Codes
- KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis
- ThriftAttention: Selective Mixed Precision for Long-Context FP4 Attention
- The Efficiency Frontier: A Unified Framework for Cost-Performance Optimization in LLM Context Management
- DFKI-MLT at SemEval-2026 TASK 7: Steering Multilingual Models Towards Cultural Knowledge
- RoboSurg-VQA: A Multimodal Benchmark for Surgical Segmentation-Aware Visual Question Answering
- Orbax: Distributed Checkpointing with JAX
- Dithering Defense: Adversarial Robustness of Vision Foundation Models via Multi-Level Floyd-Steinberg Dithering
- Millimeter-wave Imaging for Anthropometric Body Measurement
- Anytime Training with Schedule-Free Spectral Optimization
- DRL-Driven Edge-Aware Utility Optimization for Multi-Slice 6G Networks
- Decomposing and Measuring Evaluation Awareness
- The TIME Machine: On The Power of Motion for Efficient Perception
- Steered Generation via Gradient-Based Optimization on Sparse Query Features
- Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs
- Open datasets and machine learning for two-phase heat transfer: a review following a spatial-temporal taxonomy
- Multilingual Steering by Design: Multilingual Sparse Autoencoders and Principled Layer Selection
- Uncovering the Latent Potential of Deep Intermediate Representations
- RADAR: Relative Angular Divergence Across Representations
- The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems
- Smoothed Elicitation Complexity for Approximate Gamma-calibration of Discrete Classification Tasks
- MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models
- Scene Reconstruction as Mapping Priors for 3D Detection
- CoMoGen: COntrollable MOtion Dynamics and Interactions with Mask-Guided Video GENeration
- Whose Good, Whose Place? The Moral Geography of Agentic AI for Social Good
- Active Sensing Subserves Task-Level Control
- Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations
- Memorization Dynamics of Fill-in-the-Middle Pretraining
- A Reproducible Universal Dependencies-Style Pipeline for Katharevousa Greek Parliamentary Text
- LLM Code Smells: A Taxonomy and Detection Approach
- When AI Takes Sides on Questions of Faith: Persistent Asymmetries in AI-Mediated Faith Guidance
- Worse than Random: The Importance of a Baseline for Unsupervised Feature Selection
- A mathematical theory of balancing relational generalization and memorization
- Can AI Guess What You Know? Performance Comparison of Large Language Models for Human Domain Knowledge Estimation From Communication Logs
- Uncertainty-aware classification and triage of structural heart disease using electrocardiography and echocardiography metrics
- Certification from Examples is Hard for Circuits and Transformers under Minimal Overparametrization
- Graph Alignment Topology as an Inductive Bias for Grounding Detection
- GazeBehavior Annotation Toolkit (GBAT): AI-powered toolkit for automatic annotation of egocentric eye-tracking and video data of child-caregiver interaction
- FederatedRSF : Federated Random Survival Forests for Partially Overlapping Medical Data
- Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation
- Improved Vision-to-Chart Buoy Association with Learned World-to-Image Projection
- Human-Centered Learning Mechanics: A Dynamical Framework for Entropy-Regulated Representation Learning
- Building a privacy-preserving Federated Recommender system for mobile devices
- VideoOdyssey: A Benchmark for Ultra-Long-Context and Omni-Modal Video Understanding
- EVE-Agent: Evidence-Verifiable Self-Evolving Agents
- Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations
- Mediative Fuzzy Logic: From Type-1 Foundations to Type-2, Type-3 and Quantum Extensions
- FIRMA: FIbonacci Ring Model Aggregation for Privacy-preserving Federated Learning
- L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
- Is TabPFN the Silver Bullet for Insurance Pricing?
- Pointwise Metrics Mislead: An Evaluation Protocol for Multimodal Inverse Problems
- Extending Deep Event Visual Odometry with Sparse Point-Cloud Export
- Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology
- ImProver 2: Iteratively Self-Improving LMs for Neurosymbolic Proof Optimization
- Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video-LLMs
- Tokenisation via Convex Relaxations
- Integrable Elasticity via Neural Demand Potentials
- Cambrian-P: Pose-Grounded Video Understanding
- Vector Policy Optimization: Training for Diversity Improves Test-Time Search
- Remember to be Curious: Episodic Context and Persistent Worlds for 3D Exploration
- Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving
- The Matching Principle: When Does a Training Penalty Cover Deployment Shift?
- Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models
- Evaluating Commercial AI Chatbots as News Intermediaries
- CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment
- Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
- Reducing Political Manipulation with Consistency Training
- Understanding Data Temporality Impact on Large Language Models Pre-training
- Synthetic Data Alone is Enough? Rethinking Data Scarcity in Pediatric Rare Disease Recognition
- Towards a General Intelligence and Interface for Wearable Health Data
- Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees
- Spectral Tail Auxiliary Learning for AI-Generated Image Detection
- Cyber-Physical Anomaly Detection in IoT-Enabled Smart Grids Using Machine Learning and Metaheuristic Feature Optimization
- Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning
- Plug-in Losses for Evidential Deep Learning: A Simplified Framework for Uncertainty Estimation that Includes the Softmax Classifier
- Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
- Proxy-Based Approximation of Shapley and Banzhaf Interactions
- The Distillation Game: Adaptive Evaluations & Efficient Defenses
- Optimization over the intersection of manifolds
- HarnessAPI: A Skill-First Framework for Unified Streaming APIs and MCP Tools
- Beyond Acoustic Emotion Recognition: Multimodal Pathos Analysis in Political Speech Using LLM-Based and Acoustic Emotion Models
- Post-Training is About States, Not Tokens: A State Distribution View of SFT, RL, and On-Policy Distillation
- Multiple Neural Operators Achieve Near-Optimal Rates for Multi-Task Learning
- Can AI Make Conflicts Worse? An Alignment Failure in LLM Deployment Across Conflict Contexts
- Reading Task Failure Off the Activations: A Sparse-Feature Audit of GPT-2 Small on Indirect Object Identification
- Parametric Modular Answer Set Programs Made Declarative
- AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild
- AMEL: Accumulated Message Effects on LLM Judgments
- Beyond the Org Chart: AI and the Transformation of Invisible Work
- Tokenization with Split Trees
- Cross-Domain Human Action Recognition from Multiview Motion and Textual Descriptions
- Improving Viewpoint-Invariance and Temporal Consistency for Action Detection
- Scout-Assisted Planning for Heterogeneous Robot Teams under Partially Known Environments
- Latent Spectroscopy: Posterior Collapse as a Feature
- ChronoVAE-HOPE: Beyond Attention -- A Next-Generation VAE Foundation Model for Specialized Time Series Classification
- Swift Sampling: Selecting Temporal Surprises via Taylor Series
- Slimmable ConvNeXt: Width-Adaptive Inference for Efficient Multi-Device Deployment
- Self-Policy Distillation via Capability-Selective Subspace Projection
- Is Capability a Liability? More Capable Language Models Make Worse Forecasts When It Matters Most
- Holographic functions and neural networks
- Claw AI Lab: An Autonomous Multi-Agent Research Team
- Moral Semantics Survive Machine Translation: Cross-Lingual Evidence from Moral Foundations Corpora
- Seeing the Poem: Image-Semantic Detection of AI-Generated Modern Chinese Poetry with MLLMs
- The Secretary Problem with a Stochastic Precursor
- Whose Voice Counts? Mapping Stakeholder Perspectives on AI Through Public Submissions to the U.S. Government
- From Baseline to Follow-Up: Counterfactual Spine DXA Image Synthesis in UK Biobank Using a Causal Hierarchical Variational Autoencoder
- Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics
- More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts
- The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution
- Contractual Skills: A GovernSpec Design Framework for Enterprise AI Agents
- AtomicMotion: Learning Human Motion From Different Human Parts
- H-Flow: Self-supervised Human Scene Flow via Physics-inspired Joint Multi-modal Learning
- A note on convergence of Wasserstein policy optimization
- UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection
- GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT
- Chinese sensorimotor and embodiment norms for 3,000 lexicalized concepts
- Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery
- Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions
- Benchmarking Machine Learning Architectures for Antimicrobial Stewardship in Pediatric ICUs
- Enhancing Gaze Reasoning in Vision Foundation Models for Gaze Following
- Decoupling Ego-Motion from Target Dynamics via Dual-Interval Motion Cues for UAV Detection
- Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation using Machine Learning Algorithms
- MoSA: Motion-constrained Stress Adaptation for Mitigating Real-to-Sim Gap in Continuum Dynamics via Learning Residual Anisotropy
- Do Deep Ensembles Actually Capture Uncertainty in Graph Neural Networks?
- Rethinking Noise-Robust Training for Frozen Vision Foundation Models: A Cross-Dataset Benchmark with a Case Study of Small-Loss Failure
- SceneAligner: 3D-Grounded Floorplan Localization in the Wild
- Beyond Temperature: Hyperfitting as a Late-Stage Geometric Expansion
- Beyond Chamfer Distance: Granular Order-aware Evaluation Metric For Online Mapping
- SegGuidedNet: Sub-Region-Aware Attention Supervision for Interpretable Brain Tumor Segmentation
- Measuring Security Without Fooling Ourselves: Why Benchmarking Agents Is Hard
- Cell Phantom Video Generation in Elliptical Fourier Descriptor Domain
- Regret-Based (ε,δ)-optimal Stopping Criteria for Bayesian Optimization
- Neural Flow Operators can Approximate any Operator: Abstract Frameworks and Universal Approximations
- ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation
- FashionLens: Toward Versatile Fashion Image Retrieval via Task-Adaptive Learning
- MOTOR: A Multimodal Dataset for Two-Wheeler Rider Behavior Understanding
- A Martingale Kernel Independence Test
- MKG-CARE: Case-Aware Reasoning with Multimodal Knowledge Graphs for Explainable Medical Image Diagnosis
- One prompt is not enough: Instruction Sensitivity Undermines Embedding Model Evaluation
- Scene Abstraction for Lexical Semantics: Structured Representations of Situated Meaning
- Dynamic Hypergraph Representation Learning for Multivariate Time Series without Prior Knowledge
- Segment Anything with Motion, Geometry, and Semantic Adaptation for Complex Nonlinear Visual Object Tracking
- TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks
- Relational Linear Properties in Language Models: An Empirical Investigation
- Disentanglement Beyond Generative Models with Riemannian ICA
- A Subjective Logic-based method for runtime confidence updates in safety arguments
- Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets
- Meta-Learning for Rapid Adaptation in Reference Tracking of Uncertain Nonlinear Systems
- Reflecti-Mate: A Conversational Agent for Adaptive Decision-Making Support Through System 1 and System 2 Thinking
- Generative Modeling by Value-Driven Transport
- EnCAgg: Enhanced Clustering Aggregation for Robust Federated Learning against Dynamic Model Poisoning
- Towards Direct Evaluation of Harness Optimizers via Priority Ranking
- BeLink: Biomedical Entity Linking Meets Generative Re-Ranking
- The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning
- The Signal in the Noise: OOD Detection Through Goodness-of-Fit Testing in Factorised Latent Spaces
- Training-Free Fine-Grained Semantic Segmentations in Low Data Regimes: A FungiTastic Baseline
- Represented Is Not Computed: A Causal Test of Candidate Algorithmic Intermediates in a Transformer
- Polite on the Surface, Broken in Practice: A Curated Dataset for Fixing Generation and Register Failures in Low-Resource Bangla Text Generation
- When Stronger Triggers Backfire: A High-Dimensional Theory of Backdoor Attacks
- Implicit Regularization of Mini-Batch Training in Graph Neural Networks
- DeliCIR: Memory-Guided Test-Time Deliberation via Multi-Agent Collaboration for Composed Image Retrieval
- Structured-Sparse Attention for Entity Tracking with Subquadratic Sequence Complexity
- Winner-Take-All bottlenecks enforce disentangled symbolic representations in multi-task learning
- Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers
- BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series
- SADGE: Structure and Appearance Domain Gap Estimation of Synthetic and Real Data
- In Silico Modeling of the RAMPHO Buffer: Dissociating Informational and Energetic Masking via Phonetic Entropy in Deep Neural Networks
- Reinforcement learning for ion shuttling on trapped-ion quantum computers
- From Correlation to Cause: A Five-Stage Methodology for Feature Analysis in Transformer Language Models
- KAPPS: A knowledge-based CPPS Architecture for the Circular Factory
- Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning
- Making the Discrete Continuous: Synthetic RAW Augmentations for Fine-Grained Evaluation of Person Detection Performance in Low Light
- Don't Forget the Critic: Value-Based Data Rehearsal for Multi-Cyclic Continual Reinforcement Learning
- S2ED: From Story to Executable Descriptions for Consistency-Aware Story Illustration
- Cohesion-6K: An Arabic Dataset for Analyzing Social Cohesion and Conflict in Online Discourse
- A Constant-Time Implementation Methodology for Activation Functions on Microcontrollers
- Do Not Trust The Auctioneer: Learning to Bid in Feedback-Manipulated Auctions
- Characterizing the Fault Response of the Intel Neural Compute Stick 2 Under Single-Pulse Electromagnetic Fault Injection
- Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation
- AMUSE: Anytime Muon with Stable Gradient Evaluation
- Time-varying rPPG signal separation via block-sparse signal model
- Moment-Reenacting: Inverse Motion Degradation with Cross-shutter Guidance
- FastTab: A Fast Table Recognizer with a Tiny Recursive Module and 1D Transformers
- Diffusion-guided Generalizable Enhancer for Urban Scene Reconstruction
- The Neglected Baseline in Model Interpretation
- Towards Clinically Interpretable Ophthalmic VQA via Spatially-Grounded Lesion Evidence
- DeferMem: Query-Time Evidence Distillation via Reinforcement Learning for Long-Term Agent Memory
- Minimum Description Length based Granular-Ball Tree Regularization for Spectral Clustering
- Translating Signals to Languages for sEMG-Based Activity Recognition
- Cross-Species RSA Reveals Conserved Early Visual Alignment but Divergent Higher-Area Rankings Across Human fMRI and Macaque Electrophysiology
- Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings
- A Posterior-Predictive Variance Decomposition for Epistemic and Aleatoric Uncertainty in Wind Power Forecasting
- Hybrid Kolmogorov-Arnold Network and XGBoost Framework for Week-Ahead Price Forecasting in Australia's National Electricity Market
- Efficient Higher-order Subgraph Attribution via Message Passing
- Multi-Stage Training for Abusive Comment Detection in Indic Languages
- Cross-Subject EEG Emotion Recognition Based on Temporal Asynchronous Alignment Contrastive Learning
- Towards Explainability of SLMs by investigating Token Level Activation
- Guiding Multi-Objective Genetic Programming with Description Length Improves Symbolic Regression Solutions
- ASAP: Attention Sink Anchored Pruning
- VeriScale: Adversarial Test-Suite Scaling for Verifiable Code Generation
- TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting
- Scaling Observation-aware Planning in Uncertain Domains
- Incentive-Aligned Vehicle-to-Vehicle Energy Trading via Nash-Integrated Multi-Agent Reinforcement Learning
- GazePrior: Zero-Shot AR/VR Eye Tracking via Learned 3D Gaze Reconstruction
- VEELA: A Clinically-Constrained Benchmark for Liver Vessel Segmentation in Computed Tomography Angiography
- Modeling Pathology-Like Behavioral Patterns in Language Models Through Behavioral Fine-Tuning
- TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation
- QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks
- Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation
- The ASE-LSE Disagreement Landscape: An End-to-End Characterisation of Extremes and Structural Drivers
- Sibyl-AutoResearch: Autonomous Research Needs Self-Evolving Trial-and-Error Harnesses, Not Paper Generators
- 4D-GSW: Kinematic-Aware Spatio-Temporal Consistent Watermarking for 4D Gaussian Splatting
- A Boundary-Layer Mechanism for One-Third Scaling in Online Softmax Classification
- Physics-Informed Generative Solver: Bridging Data-Driven Priors and Conservation Laws for Stable Spatiotemporal Field Reconstruction
- Learning Causal Orderings for In-Context Tabular Prediction
- Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces
- SepsisAI Orchestrator: A Containerized and Scalable Platform for Deploying AI Models and Real-Time Monitoring in Early Sepsis Detection
- Symbolic Classification-Enabled LHC Limits for BSM Global Fits
- 3D LULC classification using multispectral LiDAR and deep learning: current and prospective schemes
- Robustness of breast lesion segmentation under MRI undersampling improves with k-space-aware deep learning
- Pattern-and-root inflectional morphology: the Arabic broken plural
- ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps
- Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
- Evaluation of Pipelines for Data Integration into Knowledge Graphs
- Cross-domain benchmarks reveal when coordinated AI agents improve scientific inference from partial evidence
- One LR Doesn't Fit All: Heavy-Tail Guided Layerwise Learning Rates for LLMs
- Long-term Fairness with Selective Labels
- Detection of Virus and Small Cell Patches in Foci Images Using Switchable Convolution and Feature Pyramid Networks
- SciCore-Mol: Augmenting Large Language Models with Pluggable Molecular Cognition Modules
- EmoTrack: Clinical-Semantic Modeling for Text-Based Depression Severity Estimation
- Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations
- Imagine2Real: Towards Zero-shot Humanoid-Object Interaction via Video Generative Priors
- Impact of Atmospheric Turbulence and Pointing Error on Earth Observation
- Detecting Atypical Clients in Federated Learning via Representation-Level Divergence
- Automatic Contextual Audio Denoising
- An Evidence Hierarchy for Bayesian Object Classification via OSINT-Aided Heterogeneous Sensor Fusion
- What are the Right Symmetries for Formal Theorem Proving?
- Direct content-based retrieval from music scores images
- D3Seg: Dependency-Aware Diffusion for Brain Tumor Segmentation with Missing Modalities
- No Epoch Like the Present: Robust Climate Emulation Requires Out-of-Distribution Generalisation
- IdioLink: Retrieving Meaning Beyond Words Across Idiomatic and Literal Expressions
- Explainable AI for Data-Driven Design of High-Dimensional Predictive Studies
- Decomposing Ensemble Spread in Lorenz '96 With Learned Stochastic Parameterizations
- Unlocking Proactivity in Task-Oriented Dialogue
- Decision-Aware Quadratic ReLU Replacement for HE-Friendly Inference
- Holomorphic Neural ODEs with Kolmogorov-Arnold Networks for Interpretable Discovery of Complex Dynamics
- REACH: Hand Pose Estimation from Room Corners
- GHI: Graphormer over Conditioned Hypergraph Incidence for Aspect-Based Sentiment Analysis
- How Many Different Outputs Can a Transformer Generate?
- ARC-STAR: Auditable Post-Hoc Correction for PDE Foundation Models
- Can Transformers Learn to Verify During Backtracking Search?
- A Robust Semantic Segmentation Pipeline for the CVPR 2026 8th UG2+ Challenge Track 2
- Towards a compositional semantics for quantitative confidence assessment in assurance arguments
- Kernel-Based Safe Exploration in Deep Reinforcement Learning
- Temporal Coding as a Substrate for Sensorimotor Object Inference: A Spiking Reinterpretation of Thousand Brains Architecture
- Skill Weaving: Efficient LLM Improvement via Modular Skillpacks
- Audience Engagement with Arabic Women's Social Empowerment and Wellbeing: A Decadal Corpus
- Structure Retention in Embedding Spaces as a Predictor of Benchmark Performance
- Zero-Shot Temporal Action Localization Through Textual Guidance
- OSS: Open Suturing Skills Vision-Based Assessment Challenge 2024-2025
- Ultra-High-Definition Image Quality Assessment via Graph Representation Learning
- Bandit Convex Optimization with Gradient Prediction Adaptivity
- No Pose, No Problem in 4D: Feed-Forward Dynamic Gaussians from Unposed Multi-View Videos
- From Sequential Nodes to GPU Batches: Parallel Branch and Bound for Optimal k-Sparse GLMs
- Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset
- IKNO: Infinite-order Kernel Neural Operators
- Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles
- LLM-Metrics: Measuring Research Impact Through Large Language Model Memory
- SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering?
- Balancing Uncertainty and Diversity of Samples: Leveraging Diversity of Least, High Confidence Samples for Effective Active Learning
- Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference
- Algebraic Machine Learning for Small-to-Medium Datasets Is Competitive against Strong Standard Baselines
- Ratchet: How Reliable Must an LLM Judge Be to Retire a Skill?
- Short-Term-to-Long-Term Memory Transfer for Knowledge Graphs under Partial Observability
- Psy-Chronicle:A Structured Pipeline for Synthesizing Long-Horizon Campus Psychological Counseling Dialogues
- EventGait: Towards Robust Gait Recognition with Event Streams
- Atom-level Protein Representation Learning Improves Protein Structure Prediction
- Accelerating Vision Foundation Models with Drop-in Depthwise Convolution
- AesFormer: Transform Everyday Photos into Beautiful Memories
- From Betting to Empirical Bernstein LIL
- Adversarial Trust Poisoning in Vehicular Collaborative Perception
- MotionDPS: Motion-Compensated 3D Brain MRI Reconstruction
- Self-Supervised ConvLSTM for Fermi Large Area Telescope Transient Detection
- Aerodynamic force reconstruction using physics-informed Gaussian processes
- OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization
- MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing
- TextTeacher: What Can Language Teach About Images?
- Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices
- VISTA: Validation-Guided Integration of Spatial and Temporal Foundation Models with Anatomical Decoding for Rare-Pathology VCE Event Detection -- after competition results
- Not Yet: Humans Outperform LLMs in a Colonel Blotto Tournament
- Knowledge Graph Re-engineering Along the Ontological Continuum (extended version)
- A Camera-Cooperative ISAC Framework for Multimodal Non-Cooperative UAVs Sensing
- GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery
- CoRMA: Contrastive RMA for Contact-Rich Meta-Adaptation
- ArabDiscrim: A Decade-Long Arabic Facebook Corpus on Racism and Discrimination
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Can Breath Biomarkers Causally Influence Blood Glucose? Investigating VOC-Mediated Modulation in Diabetes
- TWINGS: Thin Plate Splines Warp-aligned Initialization for Sparse-View Gaussian Splatting
- COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition
- Echo4DIR: 4D Implicit Heart Reconstruction from 2D Echocardiography Videos
- Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild
- Distributed Image Compression with Multimodal Side Information at Extremely Low Bitrates
- Safeguarding Text-to-Image Generative Models Against Unauthorized Knowledge Distillation
- Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series
- LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
- Physiology and Anatomy Aware Inverse Inference of Myocardial Infarction for Cardiac Digital Twin
- CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification
- Secure and Parallel Determinant Computation for Large-Scale Matrices in Edge Environments
- HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering
- AgroVG: A Large-Scale Multi-Source Benchmark for Agricultural Visual Grounding
- ForeSplat: Optimization-Aware Foresight for Feed-Forward 3D Gaussian Splatting
- FRED: A Multi-Modal Autonomous Driving Dataset for Flooded Road Environments
- Uniform-in-Time Weak Propagation-of-Chaos in Shallow Neural Networks
- Hallucination as Commitment Failure: Larger LLMs Misfire Despite Knowing the Answer
- Check Your LLM's Secret Dictionary! Five Lines of Code Reveal What Your LLM Learned (Including What It Shouldn't Have)
- From TF-IDF to Transformers: A Comparative and Ensemble Approach to Sentiment Classification
- ConvNeXt-FD: A Fractal-Based Deep Model for Robust Biomedical Image Segmentation
- Virtual 3D H&E Staining from Phase-contrast Back-illumination Interference Tomography
- Toward Understanding Adversarial Distillation: Why Robust Teachers Fail
- Ex-GraphRAG: Interpretable Evidence Routing for Graph-Augmented LLMs
- ECPO: Evidence-Coupled Policy Optimization for Evidence-Certified Candidate Ranking
- Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning
- Echo: Learning from Experience Data via User-Driven Refinement
- Video as Natural Augmentation: Towards Unified AI-Generated Image and Video Detection
- Format-Constraint Coupling in Knowledge Graph Construction from Statistical Tables
- How Sparsity Allocation Shapes Label-Free Post-Pruning Recoverability
- Entropy-Guided Self-Supervised Learning for Medical Image Classification
- LLM Retrieval for Stable and Predictable Ad Recommendations
- An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
- Dual-Integrated Low-Latency Single-Lens Infrared Computational Imaging for Object Detection
- AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems
- Bounding-Box Trajectories Matter for Video Anomaly Detection
- SCI-Defense: Defending Manipulation Attacks from Generative Engine Optimization
- Optimal Guarantees for Auditing R'enyi Differentially Private Machine Learning
- Thermodynamic Irreversibility of Training Algorithms
- EvoVid: Temporal-Centric Self-Evolution for Video Large Language Models
- CausalGuard: Conformal Inference under Graph Uncertainty
- SDGBiasBench: Benchmarking and Mitigating Vision--Language Models' Biases in Sustainable Development Goals
- A2QTGN: Adaptive Amplitude Quantum-Integrated Temporal Graph Network for Dynamic Link Prediction
- CCLab: Adversarial Testing of Learning- and Non-Learning-Based Congestion Controllers
- Multi-scale interaction network for stereo image super-resolution
- Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining
- Engineering Hybrid Physics-Informed Neural Networks for Next-Generation Electricity Systems: A State-of-the-Art Review
- Planning in the LLM Era: Building for Reliability and Efficiency
- Two-Stage Multimodal Framework for Emotion Mimicry Intensity Prediction
- When to Switch, Not Just What: Transition Quality Prediction in Clash Royale
- Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models
- Robust Statistical Estimators with Bounded Empirical Sensitivity
- Hypergraph as Language
- Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift
- Causal Discovery in Structural VAR Models Under Equal Noise Variance
- Comparing LLM and Fine-Tuned Model Performance on NVDRS Circumstance Extraction with Varying Prompt Complexity
- Energy-Gated Attention: Spectral Salience as an Inductive Bias for Transformer Attention