Papers
Mon 7 Sep 2026
410 papers
- LatentPort: Beyond KV Cache - Cross-Model Transfer of Recurrent Memory in Hybrid Language Models: A 4B-to-9B Hybrid-State Handoff Without Target Prefix ReplayEfficient LLM inference and serving → KV cache optimization
- CANAL: Channel-Aware Noise Allocation for Differentially Private Feature Distillation in Medical Image SegmentationKnowledge distillation → Distillation for medical imaging
- Structure-Token Evidence-Anchored Reasoning for Scientific Chart UnderstandingLLM reasoning → Multimodal reasoning +1
- An Empirical Measurement of Jailbreaking EvaluatorsLLM safety and security → Jailbreaking
- Learning to Fly: Stable Vision-Guided UAV Servoing with Compact Target-Centric Cues and Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic TasksLLM agents and tool use → Agent skill learning and evolution
- MI-PEFT: Mixture-of-Experts Integrated Parameter-Efficient Fine-Tuning Protein Language Models Improves Acidophilic Proteins ClassificationMixture-of-experts → Medical and biomedical MoE
- VEX-Bench: Benchmarking LLM Agents for Assessing Exploitability of Software Supply Chain VulnerabilitiesLLM agents and tool use → Agent threats, guardrails and governance
- Scaling Multi-Agent Systems with Prospect-State PropagationLLM agents and tool use → Social simulation and multi-agent debate
- BanglaMemeX: Advancing Cultural Metaphoric Image Interpretation in Bangla with a Multimodal Explainable DatasetMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Eliciting Self-Verification in Multimodal Reasoning Agents with Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- What Does Multi-Agent LLM Debate Actually Change? A Layered Analysis of Disagreement and Answer QualityLLM agents and tool use → Social simulation and multi-agent debate
- Mini-Batch Risk-Averse Deep Q-Learning: A Robot Navigation Case StudyDeep reinforcement learning methods → RL theory and sample complexity
- HyCO: A Hybrid Neural Solver for Combinatorial OptimizationDiffusion models → Diffusion and flow policies for robotics +1
- From Event Logs to Governed Action: A BlueSky Agenda for Agentic Process MiningLLM agents and tool use → Software engineering coding agents
- Reasoning Beyond Transcription: Audio Language Models on Child Stuttering SpeechLLM reasoning → Audio-language model reasoning
- MetaKV: Adaptive KV Cache Compression for Constrained LLM InferenceEfficient LLM inference and serving → KV cache optimization
- TDDN: Text-aligned Diffused DINO Network for Puzzle UnderstandingLLM reasoning → Multimodal reasoning +1
- FrogNano: Training a 4B Coding Agent via Online Task SynthesisLLM agents and tool use → Software engineering coding agents
- JEDI: JEPA-to-Edge Distillation for Efficient Cropland Segmentation from Satellite ImageryKnowledge distillation → Detection and dense prediction distillation
- PRIMUS: Identity, Governance, and Verification for Multi-Agent FederationsLLM agents and tool use → Agent threats, guardrails and governance
- Deadline-Aware Adaptive Prefill Chunking for Efficient Large Language Model ServingEfficient LLM inference and serving → Serving systems and request scheduling
- LLM Layers Immediately Correct Each OtherMechanistic interpretability → Knowledge and representations inside LLMs
- InfluenceField: A Differentiable Field with Interventionally Identifiable Causal Structure for Multimodal World ModelingWorld models → World models for language agents +1
- ComVLA: Communication-Aware Split Inference for VLA Models in 6G-Connected RoboticsVision-language-action models → Efficient VLA inference and adaptation
- SAFIRE: Safety-Critical Benchmark for Fine-grained Fire and Smoke Understanding in Multimodal LLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- A*-Thought-V2: Efficient Latent Reasoning via Geometric Dynamics of LLMLLM reasoning → Test-time compute and efficient thinking
- VoT: Vision-of-Thought for Unified Multimodal Representation AlignmentLLM reasoning → Multimodal reasoning
- Latent-MoE: Domain-Aware Mixture-of-Experts for PDEs with Multi-Regime PhysicsMixture-of-experts → MoE theory and gating functions
- You Can't Prefer Emotions You Don't Sample: Intensity Undershoot in DPO-Tuned LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- LLM Agents as Computational TypologistsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Signed Rescue Routing: Harm-Aware Cascades for Efficient LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- What Does an LLM-Agent Leaderboard Rank Actually Compare?LLM agents and tool use → General LLM agent frameworks and benchmarks
- Decomposition-Guided Diffusion Language Models for Inertial Confinement Fusion PredictionDiffusion models → Flow matching, time series and science
- LLM Forensics: Where Do Backdoors Hide? Localizing and Controlling Trigger Mechanisms with Sparse AutoencodersLLM safety and security → Backdoor and data poisoning attacks +1
- The Emerging AI Paper-Review Arms Race: Adversarial Co-Evolution in Scholarly PublishingLLM agents and tool use → Web, search, and research agents
- APPSim-Bench: Bridging Real-world Apps and Reproducible Evaluation for Mobile GUI AgentsLLM agents and tool use → GUI and mobile agents
- ParetoTransport: Generative Optimization by Mass Transport Toward The Pareto FrontDiffusion models → Diffusion foundations and sampling
- On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via HashingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Audit Without Verification: When LLM Accountability Layers Relay Rather Than CheckLLM agents and tool use → Agent threats, guardrails and governance
- AgentIdeaBench: Benchmarking Scientific Ideation in the Agent EraLLM agents and tool use → Web, search, and research agents
- Search-to-World: Evaluation of 3D World Delivery from User Request through Web SearchLLM agents and tool use → Web, search, and research agents
- I Don't Miss You, but I Do: Self-Explanation Faithfulness of Modality Missingness in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ICI-VLA: In-Context Imitation with Spatiotemporally Aligned Demonstrations for Vision-Language-Action ModelsVision-language-action models → Generalist VLA models and benchmarks
- From Simulated Citizens to Simulated Deliberation: Challenges in Representation and InteractionLLM agents and tool use → Social simulation and multi-agent debate
- Qwen-Audio-3.0-ASR Technical ReportMixture-of-experts → Multimodal MoE models
- Analytical Resource Management for Fine-grained MoE Computation-Communication OverlapMixture-of-experts → Efficient MoE training and inference systems
- PhysReal: Learning Real-World Deformable Object Physics via Hybrid Constitutive ModelingWorld models → Latent predictive world models
- CoER: Defending against Adaptive Indirect Prompt Injection via Adversarial Co-Evolution and RefinementLLM agents and tool use → Agent threats, guardrails and governance +1
- Topologically Consistent Agricultural Parcel Vectorization with Semantic-Guided Diffusion and Topology-Aware PolygonizationDiffusion models → Inverse problems and image restoration
- MEMO: Multimodal Evidence Memory Organization for Long-Horizon LLM AgentsLLM agents and tool use → Agent memory systems
- Measuring Language Transfer in Robot Policies: Adding Greek to a Cosmos3 Vision-Language-Action PolicyVision-language-action models → Generalist VLA models and benchmarks
- Temporal-Causal Inference for Reinforcement Learning via Automata LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Parser-Free VLM Verification for Federated Weakly Supervised Video Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Unified Vision-Centric Pedestrian Crossing Action Prediction via Adaptive Patch Projection and Proactive Spatial RectificationMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Think Wider: Mitigating Latent Rank Collapse in Implicit Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model PretrainingWorld models → Embodied and robot world models
- Uncertainty Quantification for LLM Agents: A Taxonomy, an Evaluation Protocol, and an Empirical StudyLLM agents and tool use → General LLM agent frameworks and benchmarks
- Social Intuition vs. Machine Reasoning: Anticipating Human-Robot Interaction from multiple modalitiesLLM reasoning → Spatial and embodied reasoning +1
- Beyond Single-Negative Preference: Multi-Negative DPO for LLM-Centric Historical Entity LinkingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Beyond Fluent Generation: A CPU Reliability Benchmark for MCP-Style Tool Calling in Sub-2B Small Language Models for Edge DeploymentLLM agents and tool use → Tool learning and function calling
- Scanning the Harness: A Repository Study of Configuration Exposures in AI Coding AgentsLLM agents and tool use → Software engineering coding agents
- AAS-RAIL: Improving Information Extraction for Asset Administration Shells through Retrieval-Augmented In-Context LearningRetrieval-augmented generation → RAG pipeline design and evaluation
- PV-WM: A Heterogeneous Micro-Macro World Model for Articulated Pedestrian-Vehicle Co-RolloutWorld models → World models for autonomous driving
- PCFlow: Physics-Conditioned Flow Matching for GPR B-Scan Image SynthesisDiffusion models → Flow matching, time series and science
- World Models Under Asynchronous Sensor ObservationsWorld models → Latent predictive world models
- Merging Cyber Threat Intelligence Through Retrieval-Augmented Generation and Small Language Models for Rich Threat RepresentationRetrieval-augmented generation → Privacy and security of RAG
- Matryoshka Hash Representations for Model-Aware Compact Semantic RetrievalRetrieval-augmented generation → RAG pipeline design and evaluation
- MV-STRIDE: Enabling MLLMs to Master Multi-View Spatial Reasoning via Hierarchical Capability ModelingLLM reasoning → Spatial and embodied reasoning +1
- SkillAlign: Aligning Skill Interfaces for LLM-based AgentsLLM agents and tool use → Agent skill learning and evolution
- Elastic Horizon: Discovering the Effective Interaction Frontier in Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Proximity-CLIP: Text-Guided Semantic Proximity Learning for Zero-Shot Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Distance-Aware Attention and Wall-Distance Expert Routing for Transformer-Based 3D Flow PredictionMixture-of-experts → Vision mixture-of-experts
- The Price of Consistency: Exploiting Visual Anchors for Multimodal Jailbreaking in Video GenerationLLM safety and security → Vision-language and text-to-image safety
- Agentic Algorithm Engineering: Improving Shared-Memory Exact Minimum CutsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Enabling High-Bandwidth Flash for Generative Recommendation Serving with Write-Aware KV Cache PolicyEfficient LLM inference and serving → KV cache optimization
- PhysMAS: Physics-Grounded Multi-Agent Synthesis of Compositional 4D GaussiansLLM agents and tool use → Multimodal and embodied agents
- In-Place Instruction Following in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Stable-MM-R1: Anchoring Multimodal Reasoning Dynamics via Entropy-Guided StratificationLLM reasoning → Reinforcement learning for reasoning
- Flow3D-OPD: Multi-Teacher On-Policy Distillation for 3D Geometry Generation with Flow-Matching Diffusion TransformerDiffusion models → 3D, point cloud and scene generation +1
- Retrieval-Augmented Multi-Prompt Ensemble for Minor-Grain Breeding Information ExtractionRetrieval-augmented generation → Time series and agricultural RAG
- AgentLeak: Cloning Stronger LLM Agent Capabilities onto Weaker Agents Beyond Skill StealingLLM agents and tool use → Agent threats, guardrails and governance
- Beyond Task Success: Stage-Wise Reliability of World Model Planning under Sensing DegradationWorld models → Latent predictive world models
- Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-TrainingEfficient LLM inference and serving → Speculative decoding +1
- Revisiting Complete Reasoning Traces for Post-TrainingLLM reasoning → Test-time compute and efficient thinking
- RoboDreamer: Anticipatory Humanoid Locomotion with Predictive State-Space ModelsState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- CASCADE: A Spatio-Temporal-Causal Reasoning Representation and Dataset for DrivingLLM reasoning → Chain-of-thought reasoning for driving
- Where to Look and What to Use: Retrieve-Localize-Generate for Long-Term Conversational Memory Question AnsweringRetrieval-augmented generation → Conversational and speech RAG
- Single Image to Textured 3D Object Generation in Frequency Domain: From Theory to PipelineDiffusion models → 3D, point cloud and scene generation
- SupGRPO: Enhancing GRPO with Matching-based Online SFT for Text SpottingLLM reasoning → Reinforcement learning for reasoning
- A Hierarchical Consistency Framework for Auditing Retrieval-Augmented Generation SystemsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- VST: Verifiable Structured Transport for Auditable Agent-to-Agent Alpha DiscoveryLLM agents and tool use → Agent memory systems
- SpatialBlock: Enhancing Spatial Intelligence in LVLMs via Synthetic Block-Stacking ProblemMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Trust-But-Verify: Poisoning-Resilient Locally Private Graph Learning ProtocolsLLM safety and security → Membership inference attacks
- PhysSAE: Mechanistic Interpretability of PINNs with Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- TrojanWorld: Backdooring World-Model Agents via Imagination SteeringWorld models → World model security and GUI agents +2
- Beyond One-Shot Expansion: Contrastive Evidence Exploration for Multi-Hop RetrievalRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- FreqDoor: A Hidden Trojan in the Frequency Domain for Backdoor Attacks on Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- MEMOBench: A Process Level Memory Benchmark for Robotic ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
- Disentangling Steering VectorsMechanistic interpretability → Activation steering methods
All 410
- Aha-Flow Distillation: Flow Markers Matter in LLM ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- AstraMoE-SR: Trajectory-Guided Diffusion for Blind Satellite Jitter Deblurring and Super-ResolutionDiffusion models → Inverse problems and image restoration
- GIFT: Goal-Injected Fine-Tuning for Efficient Manipulation Policy AdaptationVision-language-action models → Reinforcement learning and post-training
- WM-Craftnet: World Synesthesia Model for Generalizable and Robust Dexterous In-Hand ManipulationWorld models → Embodied and robot world models
- AF-Mamba: Efficient Long-Term Signal Modeling for Early Prediction of Atrial Fibrillation OnsetState-space sequence models (S4, Mamba) → Physiological signal modeling
- HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes CareLLM reasoning → Clinical and biomedical applications
- AgentDrift: A Step-Labeled Benchmark of Injection-Hijacked LLM Agent TrajectoriesLLM agents and tool use → Agent threats, guardrails and governance +1
- CantoneseLLM v2: Reasoning in a Low-Resource LanguageLLM reasoning → Reasoning benchmarks and evaluation
- Re-calibrated Contrastive Loss for Transformation-Aware Prompt Conditioning in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MOLE: Detecting Insider Threats in AI AgentsLLM safety and security → Prompt injection and agent security
- Mind the Phase: Effective Rank and Representation Health in Legged LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Steering Interference Reflects the Model's Defaults, Not the Behavior DirectionsMechanistic interpretability → Activation steering methods
- PRG-Fusion: Orchestrating Generative Priors with Reconstruction Evidence for Driving View SynthesisEnd-to-end autonomous driving → Generative simulation for driving
- Particle Dynamics of Flow Matching and Classifier-Free Guidance from a Stagewise Geometry PerspectiveDiffusion models → Flow matching, time series and science
- Unified AI Gateway: A Framework for Joint Model Routing and KV Cache ManagementEfficient LLM inference and serving → KV cache optimization
- The Geometry of Refusal: Why Post-Hoc Safety Is Fragile and Pretraining-Time Safety PersistsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- CARDEA: Auditable Reasoning Grounded in Spatial Evidence for End-to-End Coronary Angiography InterpretationLLM reasoning → Clinical and biomedical applications
- BEFORE THE FLIP: Measuring Hidden Score Shifts In Quantized Vision Language Models Before The Answer Changes for Visual Question AnsweringMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Distributed Secure Learning Control for Large-scale Multirobots under Stealthy Actuator AttacksDeep reinforcement learning methods → Safe and constrained RL
- Towards Bridging the Gap Between Offline and Iterative Alignment via Preference DistillationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Noisy-Space Policy Gradient for Diffusion Policies in Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Contextual Observer Grounding: Evaluating Situated Spatial Reasoning in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Legal text classification in Korean sexual offense cases: from traditional machine learning to large language models with XAI insights
- Scientific Agents: Evaluating Profession-Specific System Prompts on Scientific Tasks
- MoM: Memory of Memory
- Hi-Singers: A Comprehensive High-Quality Dataset for Expressive Audio-Driven Singing Head Synthesis
- Large language models in medical time series analysis
- Survey of Novel Deep Learning Architectures for Denoising Gravitational-wave Signals
- Conflict-Predictive Variable Horizons in Multi-Drone Distributed Model Predictive Control
- Frame-Synchronous Hand Gesture Detection by Projected Winding Order
- Capability-Routed Visual Retrieval and Evidence Threading for Long-Context Document Question Answering
- Forward-Facing Near-Infrared Adds Little to Colour for Farm-Machinery Traversability: A Site-Disjoint Evaluation of Sensor-Dependent Spatial Leakage
- BEACON: Behavior and Appearance Control for Subject-Specific Video Generation
- Multi-View Structure-from-Motion Enables Oriented Projective Shape Analysis in Three Dimensions
- Who Pays for Open Review? Visible Author Reputation and Its Effect on Ratings
- Cost-Aware Post-Hoc Deferral Under Calibration and Shift: An Environmental AI Case Study
- Compute-Bounded Security Assurance - Coverage, Verification, and Response under Resource Constraints
- Adaptive Entangled Game Modules in Artificial General Intelligence
- Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents
- Bayesian Matrix-Valued Graphs for Context-Dependent Multivariate Relationships
- LLMs for Social Network Modeling: From Network Generation to Dynamic Processes
- RFS-UNet: Decoder-Conditioned High-Resolution Skip Recalibration for Bone-Selective DRR Synthesis
- A Quantitative Evaluation Framework for Temporal Explainability in Echocardiographic Video Segmentation
- MamMA: A Mamba-Based Pedestrian Trajectory Prediction Algorithm Considering Occupancy Map and Pedestrian Awareness States
- SAFER-Activities: A Dataset for Smart Assessment of Fall Events and Routine Activities
- Two-Scale Localized PCA-Net: Coarse-Global and Local-Residual Representations for Artifact-Reduced PDE Operator Learning
- Flexible Motion Generation from Language and Style References
- From Version Conflicts to Decision Conflicts: Selective Revalidation for Long-Running AI Agents
- A Black-Box Adversarial Attack on Human Pose Estimation and Keypoint-Based Action Recognition Models
- TaskGuard: Task-Conditioned Restoration Utility for Risk-Aware Object Detection
- Sparks of In Silico Cognitive Science: Theories from Simulated Data Can Generalize to Humans
- Sharp Structure-Agnostic Minimax Risk for Partial Linear Models
- When Can LLM Digital Twins Reduce Human Measurement? From Behavioral Fidelity to Statistical Substitutability
- Automated Chest CT Protocol Selection via Large Language Model Derived Text Embeddings from Imaging Request Text
- Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment
- Semi-Supervised Learning under Spatially Biased Sampling
- Clean Accuracy Does Not Guarantee Provenance Robustness: A Prospective Codec-Stress Evaluation of Audio Attribution
- Heat Field Signatures: From Point Clouds to Smooth Geometry
- A Sub-4 Approximation for Fair k-Means
- MeRoTune: RoPE-Safe Merging with a Tunable Dial
- Rethinking Sign Language Translation: The Impact of Signer Dependence on Model Evaluation
- α-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling
- The Role of Uncertainty in Assessing the Fairness of Machine Learning Models
- Streaming Hierarchical Inference with Tabular Foundation Models
- Support Topology and Gradient Mixing in Sinkhorn Layers
- Structured Extrema Errors in Classical Surrogates for Viscous Burgers: A Physics-Consistent Interpretation
- CausalVerify: End-to-End Verification of Causal Analyses by Language Models
- Beliefs and Behavior in Language Models
- ReactVAU: A Slow-Fast Decoupled Framework for Streaming Video Anomaly Understanding
- Bottom-up Modeling of Repeated Elements via Single Image Analysis-by-Synthesis
- Prevalence calibration as shortcut mitigation
- AVCG: A Generalized Variational Framework for Counterfactual Generation under Hypothesis Distributions
- Poisson Image Denoising Using Minimax Concave and Reweighted ℓ1 Penalties: Nonblind and Blind Approaches
- Quantization Amplifies Determinism, Not Bias: Scale-Dependent Behavioral Effects of Serving-Time Weight Compression
- The Accuracy Paradox: Empirical Diagnostic of Default Decision Thresholds in Multi-Label Enzyme Commission Prediction [With Code]
- Explainable Temporal Attention-based Defect Detection For Fillet Joints in Real-Time Gas Metal Arc Welding Based on Multi-modal Data
- Are Image Generators Zero-Shot Perceivers? A Rigorous Evaluation
- Do Large Language Models Know What They Don't Know II? A Fully Behavioral, Non-Cognitive Measure of Epistemic Honesty
- SGD in Multiclass Logistic Regression: Sequential Learning and Scaling Laws
- Scene Graph-Driven Haptic Feedback for Safety Enhancement in Robotic Ophthalmic Surgery via Physically Simulated iOCT
- Foundation Models for Generalizable Semantic and Goal-Oriented Communication
- The OCUDU dApp Platform: An Open Runtime and E3 Interface for Real-Time AI-RAN
- Neural Posterior Estimation for Tomographic Weak Lensing Mass Mapping
- Kalman Delta Networks: Uncertainty-aware Associative Memory
- Understanding the Impact of Model Pruning on Long-Tail Forgetting and Explanation Reliability in Medical Imaging
- Climate-ModernBERT: Revisiting Corpus Composition for Domain-Adaptive Continued Pretraining
- Does Syntax Matter? A Graph-Augmented Variational Topic Model for Computational Social Sciences
- Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHD
- xDailyBench: Benchmarking LLMs on Professional Consultation for Real-Life Problems
- DroneGround: Open-Vocabulary Drone Payload Characterization Using Synthetic Data and Grounded Vision-Language Models
- CodeTD: Topology of Attention Detects Hallucinations in Code LLMs
- Bag of Tricks or Bag of Myths? Reducing Modeling Complexity with Task Knowledge in Explainable Suicide Risk Assessment
- Pre-Whitening and BCJR Posterior Distillation for Bi-LSTM Detection in Faster-than-Nyquist Signaling
- A Theoretical Analysis of Generalization Dynamics in Neural Networks under Gradient Descent with Weight Decay
- Do AI Coding Assistants Check Before They Install? A Pre-Registered Demand-Side Audit of Trust Signals in the Research Software Supply Chain
- Cross-modal learning for SAR target recognition using optical vision foundation models
- Local gradient neural operator
- Guiding Worker Self-Selection in Crowdsourcing Contests: An LLM-Augmented Algorithmic Approach
- Replicating a Disjoint-Set Union Experiment over Various Notions of Micro Units to assess Translation Effort
- When Intelligence Becomes Agency: A Theory of Governed, Proactive Agency for Symbiotic AI Systems
- Scalability Analysis of Distributed Kolmogorov-Arnold Network Training on High-Performance Computing Systems
- TFTrack: A Template-Free Framework for Efficient 3D Point Cloud Tracking
- The Hidden Frame: How Large Language Models Impact Democratic Society
- TV-SGS: Gaussian Splatting with Geometric Information Propagation via Tensor Voting under sparse views
- The Profit Alignment Problem: How Profit Mandates Induce Alignment Failures in LLMs
- Attributing Cohen's d: Training Data Attribution for Disease-Related Effects in Normative Age Biomarkers
- Sub-6 GHz Over-the-Air AMC via Curriculum Fine-Tuned CNN-Transformers
- Zero-Shot 3D Plant Organ Segmentation with SAM3 and Semantic NeRFs
- Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation
- A radiographic world model for clinical reasoning and evidence generation
- Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation
- Translation Indeterminacy and the Distributional Fallacy
- An emancipatory vision for designing (generative) AI for learner flourishing
- DeepTable: Structural Attention Biases and Tree Path Encoding for Hierarchical Table Understanding
- Fine PT-PT Web: A High-Quality 41 Billion Tokens Data Collection of the European Portuguese Web
- Emergent Charging Coordination in Electric Delivery Fleets
- Perspectives on Cross-Lingual Consistency in LLMs for Medical Questions
- CrowdTraj: A Benchmark for Dense Crowd Trajectory Prediction in Realistic Crowded Environments
- Your Agent Says Yes: Interpreting Adversarial Market Behavior Beyond Individual Transactions
- From Citations to Contributions: LLM-Assisted Credit Scoring of Research Articles
- Aegix Pulse: A Traceable Three-Stage Architecture for Personalized Content Generation and Context-Preserving Revision
- Harnessing CLIP and DINO: An Uncertainty-Aware Cascaded Fusion Network for Generalizable Deepfake Image Detection
- MpSub: A Momentum p-Dimensional Subspace Trust-Region Method for Derivative-Free Fine-Tuning of Large Language Models
- Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs
- No=esis: Deterministic-First Retrieval with Two-Tier Context Hydration for Factuality-Critical Queries on Small Local Models
- How AI Models Manage Epistemic Authority: A Taxonomy and Comparative Analysis of Responses to User Disagreement
- Thermodynamic Cyclic Processes with Markov Samplers in Bayesian Inference
- Online Surrogate Repair: Decoupling High-Fidelity Feedback from Search Length in Closed-Loop Discovery
- Syntactic Patterns and Stylistic Functions in Narrative Prose: A Rule-Based and Machine-Learning Approach
- The Art of Hierarchical Competing Patterns: Gaussian Process Optimization of Hyphenation
- Open Tabular Insight Extraction: Where Do We Stand, and Where Should We Go?
- Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best
- Privacy Leakage from a Thousand Words: Millipixel Location Recovery from Dot Maps
- Microcanonical Hamiltonian Monte Carlo and the Helmholtz Theorem
- Decentralized Safe Multi-Agent Reinforcement Learning via Predictive Shielding
- Forecasting the Winner of a Live Tennis Match
- Translation of Black-Box Clinical Prediction Models into Standalone Transparent Nomograms: Temporal External Validation in Heart Transplantation
- Solution for UCF UrbanTwin V2X-Real Track: Sim-to-Real Urban LiDAR 3D Object Detection
- CLUES-WEASEL: No additional clues required to choose your time series clustering algorithm
- FinCUABuild: Can Agents Build Reliable Benchmarks for Dynamic Financial Computer Use?
- ObGynLongBench: Revealing the Evidence-to-EHR Gap in Longitudinal EHR Decision-Making
- BarkNet-Lite: A Lightweight Texture and Colour Network with the BarkBD Benchmark for Bark-Based Tree Species Recognition in Bangladesh
- Mapping the Emerging Social Science of Large Language Models
- Beyond the Matrix Sign: Quadratic Spectral Descent
- Same Problem, Different Field: Cross-Domain Solution Import via Domain-Stripped Computational Fingerprints
- Large-Scale User Behavior Analysis in Multimodal AI-Assisted Manual Task Execution
- Topology Obstructs Pure Foundation Neural Quantum States
- Solution for UCF UrbanTwin LUMPI Track: Sim-to-Real Urban LiDAR 3D Object Detection
- Validating DBpedia Triple Sets for Natural Language Generation
- A Tool-Augmented, GPT-4 Chatbot for Real-Time Repository Data Analysis
- Efficient Exploration Is Enough
- SphereSOD: Geometry-Structure Coupled Learning for 360 Salient Object Detection
- We're Cooked! - Probing LLM Political Alignment Via Conflict-Framed Recipe Translation
- No-Regret Mixing of LRU and LFU with Optimal Switching Cost
- EigenLI: Spectral Approximations to Late Interaction
- Scoring Without the Engine: Validating a Deterministic, Manipulation-Resistant Content Score for Generative Engines, End to End
- SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing
- Heat Kernel Textures: the Geodesic Gaussians That Do Not Splat
- Re-engineering SORT-based algorithms for low-cost small object tracking from omnidirectional footage
- TeMo: Temperature Modulation for Multimodal Contrastive Learning
- Proprioception-Anchored Cross-Modal Pretraining for Zero-Shot Sim-to-Real Contact-Rich Assembly
- Quantile-Led Feature Extraction for Multi-Horizon Predictive Maintenance in Industrial Manufacturing Systems
- When Semantically Consistent Encoding Meets View-Label Heterogeneity Modeling: A Unified Framework for Incomplete Multi-View Multi-Label Learning
- PICANet: Physics-Informed Cascaded Asymmetric Network for Infrared Small Target Detection
- Statistical versus machine learning-based spatial interpolation of post-processed ensemble weather forecasts
- Generation of Vectorized Maps Beyond Vehicle View
- Mitigating Shortcut Learning: Texture-Penalized Prototype Networks
- Human mutation field reveals an equilibrium-like structure with irreversible circulation
- CrACK: Adversarial Attacks on Cross-Model Consistency in Collaborative Vision Foundation Models
- CosmoH2G: A Hand-to-Gripper Transfer Dataset and Baseline Method for Object Manipulation with Complex Spatial Movements
- Improving Multivariate Time Series Classification with Class-Wise Training and Model Aggregation
- Modus Tollens and Counterfactuals and Counterfactual Reasoning Based on Three Types of Negation
- The Internal Anatomy of Strategic Choice in Large Language Models
- Where Should Language Sit in a Multimodal Model? Lessons from What Language Does to Human Perception and Cognition
- When Superpixels Fail on Documents: A Study of Segmentation for LIME Explanations
- Latent-to-Latent Flow for Volumetric Stochastic Segmentation
- Graph neural networks and the energetic cavity method for combinatorial optimization
- FramingQA: Does the Question Shape the Answer? Measuring the Compositional Framing Effect
- An LLM-Associated Register Shift in Korean Journal Abstracts: A Morphology-Aware Excess-Vocabulary Study, 2018-2026
- TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning
- TabBench-Bio: A Living Benchmark for Machine Learning on High-Dimensional Biomedical Tables
- AFID: A Unified Open Framework for Automated Fingermark Identification, Quality Assessment and Feature Extraction
- A Systematic Analysis of Automatic Differentiation versus Discretization-based Constraints for Physics-Informed PDE Solvers
- CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification
- Revisiting Thinning Methods for Kernel Learning Problems
- Masking Radar Cognition under Adversarial Surveillance: A Distributional Privacy Framework
- Self-Supervised Multi-View 3D Gaze Target Estimation via Probabilistic Ray Marching
- RelightFormer: Feed-forward Generative Transformer for Multiview Object Relighting
- Multi-label versus multi-class classification of blood cells and their aggregates in microfluidic channels
- RAFM-SER++: A Lightweight Multimodal Emotion Recognition Framework for Real-Time Behavioral Monitoring in Surveillance Systems
- Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson's disease classification
- Federated Binary Gating with Server-Side Vision-Language Inference for Surveillance Anomaly Classification
- Riemannian Optimization for Multi-Player Quantum Games on Product Unitary Manifolds
- Distributed Lag Neural Additive Models
- TRAIL: Trajectory-Aware Visual Place Recognition against Unordered Databases
- DF26: We Cannot Tell Fake From Real Anymore
- BlueprintAgent: Constraint-Triggered Targeted Revisits for Simulation-Ready Generation from Scanned Structural Blueprints
- Human-like moral judgments conceal divergent motive attributions in large language models
- D3ARC: Time-Critical Distributed Disaster Detection for Asynchronous Cooperative Multi-Robot Systems
- Inferring Urban Mobility Interactions from Aggregated Dynamics
- From Explicit References to Scene Manifolds: Distributional Fidelity and Realism for Radiance Field Quality Assessment
- Monadic Second-Order Logic in HOL: Deep and Shallow with Automated Faithfulness (Extended Preprint)
- Staying on the Attack Path: Structured State for Long-Horizon Automated Penetration Testing
- CRISP: Corneal Confocal Microscopy Real-Time Image Stitching Pipeline
- PLATOS: A Power and Latency-Aware Task-Oriented Scheduling Strategy for Healthcare IoT in Fog Computing
- DGCPath: Distribution-Aware Generative Contrastive Framework for Self-supervised Path Representation Learning -- Extended Version
- Content-Based Addressing for Long Context
- Weakly supervised neural network: segmentation of complex structures in X-ray microCT
- Robust Decentralized Personalized Federated Learning via Prediction-Constrained Neighborhood Collaboration
- LANTERN: Language Model Assessment on Noisy and Transformed Tasks for Understanding Error and Robustness Nuances
- SPARROW: Scalable Taxonomy Induction via Structure-Preserving Partitioning and Constraint-Guided Merging
- RouteRelay: Event-Triggered Cross-Layer Route Reuse for Efficient Dynamic Sparse Attention
- Marginal Fidelity Does Not Establish User Simulation in Demographic Synthetic Survey Panels: Response Contracts, Support Collapse and Conditioning Failure
- Long-Horizon Language Model Reinforcement Learning via Progressive Point Matching
- KODAMA: Multimodal Digital Twin Reconstruction for Urban RF Propagation Modelling
- Probing the Structure and Dynamics of LLM Value Expression through Value Conflicts
- Constitutive State-Space Modeling of Path-Dependent Plasticity: A Resolution-Consistent and Parallelizable Computational Framework
- Quality Metrics for LLM-Generated Asset Administration Shells: A Perturbation-Based Evaluation Approach
- TAD: Token-Adaptive Contrastive Decoding with Confidence-Guided Gating for Hallucination Mitigation in Large Audio-Language Models
- Separating Stream Stability from Long-Term Recall in Language Models
- LightSplat: Real-Time High-Fidelity 3D Gaussian SLAM with Loop Closure
- Dense Structural Compression of Transformers via Gauge-Correct Channel Removal
- Query-Aware Token Budgeting for Efficient Late-Interaction Visual Document Retrieval
- Mathematical Programming in Machine Learning and Artificial Intelligence: A Unified Taxonomy of Models and Applications
- Adaptive Conformal Inference Under Delayed Feedback: Coverage Guarantees and a Delay-to-Memory Diagnostic
- Towards a Resilience-Theoretic Foundation for Adversarial Robustness in Industrial Control System Anomaly Detection
- Kolmogorov--Arnold stability for discontinuous functions
- CEDAR: Error-Bounded Residual Routing for Efficient Long-Context Attention
- Parallelism Strategy Chaining for Fast Training Convergence
- Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration
- Iterative Audio Separation with Mixture Consistency via MIMO Model Extension
- Unraveling the Real Working Mechanism and Inherent Flaws of GAE: A Method for Interpreting Transformer Processes from an Economic Perspective
- REFINE: Trajectory Representation Learning via Closed-Loop Transcription -- Extended Version
- Recompilation Is Not Enough: Test-Guided Decompiled-C Repair
- KABURI-TTS: Phoneme-Keyed Activity-conditioned Bi-channel Utterance Rendering for Interaction
- Protocol effects on feature-based hardware-Trojan detection across Trust-Hub families
- EmoMed: An Emotionally-Aware Agent for Multimodal Medical Support with Real-Time Information Retrieval
- FedRAW: Preserving Rare-Label Influence in Asynchronous Federated Learning
- CHILD: Human-in-the-Loop OOD Detection for Safe Clinical Deployment
- SIFTING: A Novel LLM-Based Framework for Structured and Transparent Information Extraction from Clinical Free-Text Reports, with Application to Tumor Staging in Lung Cancer
- Tensor network representations of discrete maximum entropy distributions via mean polytopes
- CircuitLens: Reasoning Circuits as Data Selection Signals for Reinforcement Learning with Verifiable Rewards
- Deep Learning for Biopsy-Free Subtyping of Basal Cell Carcinoma from Dermatoscopic Images
- Weakly-supervised Kidney Tumor Classification from CT Scans with Multi-Instance Learning and Anatomical Filtering
- The Oversight Gap: What LLM Safety Monitors Miss, and Why It Is Not Capability
- Unsupervised Domain Adaptation for Symbol Spotting in Historical Encrypted Manuscripts
- Mind the Approximation: Fisher-Weighted SVD Compression for ViTs
- Ambient @ EgoLongQA 2026: Distilling Long-Video perception into a Sub-2B Model
- FreqBLiMP: Frequency-Controlled Minimal Pairs Reveal Robustness and Fragility of LLMs Under Lexical Rarity
- An Auditable Symbolic-RAG-Generative AI Architecture for Goal-Oriented Conversation Orchestration
- Vishing-Tactics-Bench: Forecasting Exploitation Trajectories in Voice Phishing Calls
- Fine-grained Distributed Backdoor Attacks in Federated Learning
- Encoded Early, Used Late: Where Transformers Begin to Act on an Inferred Partner's Expertise
- NutriBench-Kitchen: Benchmarking Embodied AI for Nutrition Management
- Line-Coupled Language Model
- EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles
- A Two-Stage Framework for Ego-Centric Key Object Identification via Object State Prediction
- PTCG: Persona-guided Tree-based Counterargument Generation
- The Illusion of Debiasing: Persona Steering Redistributes Rather Than Reduces Bias in LLMs
- From LLM-Generated Specifications to Learned Quadruped Locomotion
- Discovering Natural Transformation Vulnerabilities in Black-Box Vision Models
- Beyond Sparse Rewards: A New Benchmark and Structure-Aware Graph Alignment for Micro-Drama Understanding
- AstroSpecLM: A Spectrum-Language Model for Evidence-Grounded Astronomical Spectral Analysis
- Temporal Heterogeneous Graph Transformer for Credit Card Fraud Detection
- Ambient @ EgoProactive 2026 : Proactive Egocentric Assistance with Visually Grounded Supervision
- Risk Is Not Review Value: Wrong-Answer Exposure Under Bounded Review Budgets
- Conditioned Initialization for Attention
- Comparing Self-Supervised and Domain-Invariant Features for Cross-Domain Voice Phishing Detection
- One for All: Generalist Foundation Model for Cross-Sensor Skeleton Representation Learning
- Detect Anything in Graphic Design: Element-Level Rewards for Autoregressive Detection
- Continuous Token-Level Spatio-Temporal Context Modeling for Visual Object Tracking
- CNsEMD: An Expert-Annotated Multi-Field-Strength MRI Dataset and a Hyperspherical Manifold Network for Multimodal Cranial Nerve Parcellation
- A Hyperbolicity Atlas of Large Language Model Hidden States
- Large Discrete Policy: Advancing Explicit Behavior Modeling with Stochastic Iterative Scoring
- AI and TCAD for Inverse Design and Defect Discovery: From Simple Machine Learning to LLM
- Frequency Estimation Based on SNR-adaptive Frequency Estimator Under Wide SNR Range
- Efficient Learning and Symmetry Discovery under Exact Invariances
- LoGAN: Multilingual Font Localization with Generative Agents
- CIPHER: Benchmarking Cross-record Inference over Privacy-Hardened Evidence Records
- HyperTransfer: Understanding the Equivalence between Base Optimizer and Hyperball
- ARNAI: Artifact Removal Network based on Autoencoding and Inpainting for Robust Spinal Image Segmentation and Measurement
- Fine-Grained Visual Preprocessing and Dual-Stream Temporal Modeling for Multimodal Sentiment Analysis on Social Media
- NeuCME: Toward Dynamic Multimodal Continual Learning via Neural Combinatorics of Multiple Experts
- RedKnot-MLA: Multi-Head Offline-Online Reuse for DeepSeek-V4 Long-Context Serving
- CGSM: Concept-Guided Segmentation Model for Precise Pulmonary Lesion Delineation
- LatentMD: Benchmarking Markdown Boundary Failures in LLM-Generated Text
- AV-SafetyBench: A Safety Benchmark for Text-to-Audio-Video Generation
- Continual Learning Mechanisms Compose for Long-Horizon Memorization
- Input-to-State Stability Framework for Fully Distributed Primal-Dual Dynamics for Quadratic GNEPs Without Multiplier Consensus
- AnomalyCraft-700K: Component-Level Controllable and Verifiable Synthetic Anomalies for Fine-Grained Video Anomaly Understanding
- Train Overcomplete, Deploy Compact: Scaling Recovery Capacity for Structured LLM Pruning
- TurEngMix: A Text Corpus and Benchmark for Turkish-English Code-Mixed Language Identification and Named Entity Recognition
- DPSF-Net: A Dual-Prior Spatial-Frequency Network for Real-World Remote Sensing Image Dehazing
- SSP-DMGTimeNet: Physics-Constrained Learning for Spatiotemporal Trajectory Prediction of Vehicle Platoons
- iBrain: A Unified Foundation Model Reading the Brain from Surface to Spikes
- MSSP: Multi-Scale Spatially-Constrained Partition for Unsupervised Semantic Segmentation of 3D Point Clouds
- Joint-Conditioned Stereo Surface Reasoning for Interaction Field Estimation
- PCSDiff: Diffusion-Based Bias Correction and Super Resolution Toward Practical Operational Medium-Term Precipitation Forecast
- When and Why LLM Causal Priors Help: Closed-Loop Prior Selection for Amortized Causal Inference
- Distributed Dexterous Manipulation with Spatially Conditioned Multi-Agent Transformers
- Sub-Pixel Affine Registration of Space Debris Images via the Radon Point Spread Function
- Emo-DVS: A Multimodal Benchmark for Privacy-Aware Emotion Recognition with Event Cameras
- Constrained Online Learning with Noisy Constraint Values
- A visual large language foundational model for medical image recognition using clinician-contributed online resources
- From Synthetic Priors to Model Behavior: Structural Coverage in Tabular Foundation Models
- Smoothed Picard Hamiltonian Monte Carlo
- Accelerated High-Accuracy Sampling from a Warm Start via the Proximal Bouncy Particle Sampler
- Dynamic-Programming-Guided Hierarchical BPE and Empirical Analysis of Vocabulary Pruning
- Human-agent discovery of reconfigurable in-plane ferroelectric superdomain control
- Learning Adaptive SED for heterogeneous load balancing