Papers
Tue 15 Sep 2026
467 papers
- What Drives Dialectal Jailbreaks? An Ablation of Surface Form, Cultural Framing, and Strategy BanksLLM safety and security → Safety alignment, refusal and guardrails
- EditWM: Event-Decomposed World Modeling with Incremental Correction for End-to-End Autonomous DrivingWorld models → World models for autonomous driving +1
- CovR: Coverage-Aware Hardware Verification via Reasoning-Guided Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
- BioPhys-Bridge: A Benchmark for Interdisciplinary Scientific Reasoning in Physics-Grounded Biological ResearchLLM reasoning → Clinical and biomedical applications
- Beyond the Previous Layer: Residual Predictive Structure in Sparse MoE RoutingMixture-of-experts → Expert routing strategies
- Collaborative Memory for Multi-Agent VLM SystemsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Zing-0.5: Toward Playable Worlds with Real-Time Joint Action and Text ControlWorld models → Video-generation world models and simulators
- When AI Agents Meet MEV: Cross-Chain Arbitrage in the Agentic EconomyLLM agents and tool use → Financial trading and forecasting agents
- OBC-Prune: Outcome-Based Calibration for Large Reasoning Model PruningLLM reasoning → Test-time compute and efficient thinking
- ERPBench: A State-Grounded Evaluation Paradigm for Computer-Use Agents in Enterprise SoftwareLLM agents and tool use → General LLM agent frameworks and benchmarks
- Lumen: Parameter-Efficient Alignment of Pretrained Vision and Language Encoders for Zero-Shot Computational PathologyMultimodal LLMs / vision-language models → Medical vision-language models
- The Inference Engineering Pareto Atlas: Which Optimizations Dominate the Cost, Quality, and Latency Frontier?Efficient LLM inference and serving → Serving systems and request scheduling
- SFT or RL for Tool-Calling Agents? A Controlled Study Across Data, Method, and ScaleLLM reasoning → Reinforcement learning for reasoning +1
- Learning Heterogeneous PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- PrimeScientist: Strategic Allocation of Research Effort in Autonomous ResearchLLM agents and tool use → Web, search, and research agents
- Lexara-RF: Reference-Free Metrics for Evaluating Conversational Visual Analytics AgentsLLM agents and tool use → Multimodal and embodied agents
- Adaptive hybrid coupling with operator inference, the overlapping Schwarz alternating method and reinforcement learningDeep reinforcement learning methods → RL theory and sample complexity
- METALICA: METAdynamics and repLICA exchange for enhanced diffusion samplingDiffusion models → Flow matching, time series and science
- Reflections on Trusting Trust, Revisited: Contaminating Self-Modifying AI Coding Agents with Poisoned BenchmarksLLM agents and tool use → Agent threats, guardrails and governance +1
- GazeDiT: Gaze-Accurate Diffusion Image Generation for Eye Tracking via Spatial ConditioningDiffusion models → Video generation
- A Four-Stage Decomposition of Word-Problem Solving and Mechanistic Fragility in LLM Math ReasoningLLM reasoning → Mathematical reasoning
- AgenTeeth: A Model-Agnostic Framework for Suppressing Hallucination in Frozen Vision-Language Models on Dental X-Rays via Tool Evidence InjectionMultimodal LLMs / vision-language models → Medical vision-language models
- Not All Patches Are Equally Forgettable: Spatially Localized Domain Unlearning in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- FairCompressAgent: An Agentic Framework for Fairness-Aware Model Compression for FPGA DeploymentLLM agents and tool use → Software engineering coding agents
- HINT-Plan: Human Intention-Aware Robot Task Planning in Context-Rich Environments using Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- CALOS: Control-Affine Lyapunov On-manifold Safety Layer for Safe Deep Reinforcement Learning for QuadrotorsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Imitation Learning for Autonomous Driving in CARLAEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- REVERSAL-BENCH: A Reversibility Axis and Reset Oracle for Measuring the Reset-Free RL CliffDeep reinforcement learning methods → Deep RL algorithms and representations
- RAF-VLA: Representation Alignment with the Future for End-to-End Autonomous DrivingWorld models → World models for autonomous driving +2
- Vision-Language Grounded Task-Context-Aware Imitation Learning for Robotic DisassemblyOffline RL and imitation learning from data → Robot manipulation imitation learning
- One Size Does Not Fit All! Dynamic Retriever and Generator Selection for RAGRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to AgentsLLM reasoning → Test-time compute and efficient thinking +1
- A Large-Scale Empirical Study of Quality Assurance Practices and Gaps in AI AgentsLLM agents and tool use → Software engineering coding agents
- Composite-Gradient Learning for Shared Control Authority Between Deep Reinforcement Learning and Model Predictive ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Accelerating Diffusion Sampling via Speculative Draft TreesDiffusion models → Discrete and text diffusion +1
- CapMem: A Benchmark for Caption-Based Episodic Memory in Egocentric VideoMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- The Missing "I Don't Know": Why Three Reasoning-Reliability Findings Converge on Calibrated AbstentionLLM reasoning → Test-time compute and efficient thinking
- Reflect, Revise, Reuse: Training-Free Skill Evolution for GUI AgentsLLM agents and tool use → GUI and mobile agents
- Fathom: Per-Query Read Depth for Sparse Decoding over Offloaded KV CachesEfficient LLM inference and serving → KV cache optimization
- Trust propagation and structural containment in Multi-agent LLM pipelinesLLM agents and tool use → Agent threats, guardrails and governance
- Rethinking Domain Specialization for Open-Ended Scientific Reasoning in Astronomy Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading AgentsLLM agents and tool use → Financial trading and forecasting agents +1
- Agentic Societies Need a Social HarnessLLM agents and tool use → Social simulation and multi-agent debate
- Modality-Autoregressive World-Action ModelsWorld models → Embodied and robot world models
- What Breaks Under Pruning in Smart Homes, and When? Evaluating LLM Degradation Across Architectures and Task ComplexityLLM agents and tool use → Tool learning and function calling +1
- Verifiable Social Reasoning for LLM AssistantsLLM reasoning → Reasoning for agents, planning and code
- Dissecting Motion-Prior Regularization for Data-Scarce Robotic InsertionDiffusion models → Diffusion and flow policies for robotics
- JustFit: Just-in-Time State Management for Local LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Coupled Calibration and Learning: Mitigating Teacher Bias in LLM Distillation without Target-Domain Reward FeedbackKnowledge distillation → Knowledge distillation for LLMs
- BrainFocus: EEG-Guided ROI Selection for Efficient Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SlotDiT: Object-Centric Representations for Diffusion TransformersDiffusion models → Image generation, text-to-image and editing
- Coding Agents Have Converged: Why the SWE-bench Leaderboard Can No Longer Order Its Top Entries, and What to Measure InsteadLLM agents and tool use → Software engineering coding agents
- XPACE: Joint World and Action Modeling from Heterogeneous ExperienceWorld models → Embodied and robot world models
- Self-Emergence Agent Architecture:Behavior-Inertia HMM, Reflexive Metacognition,and Social-Contrastive Self-ModelingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Vroom-Vroom at SHROOM-Visions: A Multi-Judge Committee for Detecting Hallucinated Spans in Vision-Language OutputsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Intrinsic Motivation in Reinforcement Learning: A Research Agenda for Adaptive Self-OrganisationWorld models → Latent dynamics models and model-based RL +1
- Emergence World: Adversarial Stress-Testing of Long-Horizon Multi-Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
- Towards Detecting AI-Assisted Responses in Online SurveysLLM agents and tool use → Web, search, and research agents
- Mo' Models, Mo' Problems: How to best select model pools when designing Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Same Flow, Different Paths: Variance Reduction in Flow MatchingDiffusion models → Flow matching, time series and science
- Personalized Federated Learning through Global Knowledge Distillation and Local Head AdaptationKnowledge distillation → Federated, robust and private distillation
- Semantic-Spatial Agreement Verification for Mitigating Object Hallucination in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Video-HolmesV2: Can MLLMs Reason with Spatio-Temporal Audio-Visual Evidence in Long Videos?LLM reasoning → Audio-language model reasoning +1
- ECHO: Early-layer Collaborative Hierarchical Orchestration with Bonus Logits in Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- FROD: Feature Matching Residual Denoising Oracle Bone DecipherDiffusion models → Image generation, text-to-image and editing
- Grounding SWE-Agent Decisions in Architecture-0 Design: Navigating Unknown Unknowns through Physical MappingLLM agents and tool use → Software engineering coding agents
- FluxVLA Engine: A One-Stop VLA Engineering Platform for Embodied IntelligenceWorld models → Embodied and robot world models +2
- [MM/AI] Mental Models in Human-AI Interaction: Methods and Challenges in the Generative and Agentic AI Era (Workshop)LLM agents and tool use → General LLM agent frameworks and benchmarks
- MyoFlow: Anchor-Tied Rectified Flow for HD-sEMG Gesture Recognition Across Sessions and SubjectsDiffusion models → Diffusion and flow policies for robotics
- End-to-End Latency-Minimizing and Load-Balanced Request Scheduling for Edge LLM Inference in Agentic AI ServicesLLM agents and tool use → Software engineering coding agents
- LoopSpec: Pipelined Self-Speculative Decoding for Looped TransformersEfficient LLM inference and serving → Speculative decoding
- Plug 'n' Pray: Agentic LLM-based Detection of Potential Log File Exposures in Third-Party Content Management System PluginsLLM agents and tool use → Agent threats, guardrails and governance
- ResLRP: The Role of Residual Cancellation in Attribution Instability in Vision TransformersMechanistic interpretability → Interpreting vision and multimodal models
- Kernel-Based Metrics Learning for Uncertain Opponent Vehicle Trajectory Prediction in Autonomous RacingEnd-to-end autonomous driving → Reinforcement learning for driving
- FirmCORe: A Benchmark for Structured Reasoning about Inter-Firm Collaboration OpportunitiesLLM reasoning → Reasoning for agents, planning and code
- Intrinsic Robot Rewarding: Reusing VLA Representations for Autonomous Evaluation and Policy ImprovementVision-language-action models → Reinforcement learning and post-training
- Symbolic Separation: Grounding Deep Agents in Knowledge Graphs for Trustworthy Operational Data AnalyticsLLM agents and tool use → Web, search, and research agents
- sensVLA: Spatially-Grounded Vision-Language-Action Model for Autonomous Wheel LoaderVision-language-action models → VLA for autonomous driving
- SKIP: a Self-knowledge-guided Step-wise Preference Learning Framework for Concise ReasoningLLM reasoning → Mathematical reasoning +1
- ORDER: Task-Conditioned Routing for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- FlexEE: Self-Speculative and KV-Compatible Early Exiting for Offloading-Aware LLM InferenceEfficient LLM inference and serving → Early exit and edge inference
- Symmetry-Aware Likelihood-Orbit Aggregation for Selective Left-Right Claim VerificationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- PaperDoctor: Evidence-Grounded and Actionable Feedback for Scientific Papers in ProgressLLM agents and tool use → Web, search, and research agents
- ToMAS: A Pilot Failure-Grounded Theory-of-Mind Benchmark from Multi-Agent LLM FailuresLLM agents and tool use → Software engineering coding agents
- Target-Language Generation in Multilingual Models: Activation Steering and Optimal ControlMechanistic interpretability → Activation steering methods
- Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- RepoAtlas: Guiding Coding Agents via Evolving Multimodal Repository ViewsLLM agents and tool use → Software engineering coding agents
- MedPCFM-TED: One-Step Point Cloud Flow Matching for Implant Generation via Teacher-Guided Endpoint DistillationDiffusion models → 3D, point cloud and scene generation
- Verbalizing Subliminal Learning Effects Using Text OptimizationKnowledge distillation → On-policy and self-distillation for LLMs
- NeuroSymbEAD: A Large Scale Neuro-Symbolic Caption Dataset for Omni-Directional Embodied Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- Cascade: Hierarchical Recoverability Control for Large Language Model UnlearningLLM safety and security → Machine unlearning
- QART: A Quantum-Classical Hybrid Architecture for Long-Horizon Reasoning -- Exploring a Conditional Path toward Quantum ScalingLLM reasoning → Reinforcement learning for reasoning
- TEMPO: Learning Temporal Context for Dynamic Robot ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
- TecoPrompt: Temporal-Conservative Prompt Learning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- RegRet: Enhancing Region-Level Retrieval in Large Multimodal ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- StackTok: Accelerating VLMs Inference with Budget-Adaptive Visual Token SelectionMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- InceptionRAG: Stealthy Poisoning Attack Against Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- Layers, Sinks, and Scaling: Adaptive Evidence Selection for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Unifying Semantic Priors and High-Frequency Traces: Enhancing V-JEPA with Mixture-of-Experts for Robust Synthetic Image ForensicsMixture-of-experts → Multimodal MoE models
All 467
- RECTIFY: An Interactive Workbench for Post-Evaluation RAG Diagnosis, Repair, and VerificationRetrieval-augmented generation → RAG pipeline design and evaluation
- Turn-level Multiscale Density Ratio Estimation for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- TAME: Token Attribution and Masking for Emergent misalignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- When Agents See Differently: Exposing UI Desynchronization Threats in Mobile AgentsLLM agents and tool use → GUI and mobile agents
- CorrRisk-WM: Corridor-Conditioned Risk World Modeling for Safety-Critical Trajectory PlanningWorld models → World models for autonomous driving
- VideoMM: Adaptive Macro-Micro Inference for Efficient Video MLLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- World Models for Embodied Intelligence: From Plausible to Controllable to ActionableWorld models → World models for navigation
- IL-ACT: Imitation Learning with Adaptive Cartesian Tracking Control for a 30-ton ExcavatorOffline RL and imitation learning from data → Imitation learning methods
- Toward Secure AI-Powered Penetration Testing Agents: Security Threats, Guardrails, and Architectural PerspectivesLLM agents and tool use → Agent threats, guardrails and governance +1
- Efficient 3D Whole-Body PET Image Denoising via Conditional Rectified Flow With Optimized Sampling StrategyDiffusion models → Medical imaging and segmentation
- Efficient Quantization-Aware Distillation with Cross-Modal Alignment for Edge Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- MarkSec: Capability-Aware Evaluation of Adversarial Attacks Against LLM WatermarksLLM safety and security → Watermarking generated content and models
- little m: An AI Agent for Industrial Process OptimizationLLM agents and tool use → Medical and scientific domain agents
- AI for Games in the Foundation Model EraWorld models → World models for language agents
- Right Direction, Wrong Step: Geometric Analysis of Finite-Step Failure in Looped TransformersLLM reasoning → Prompting and chain-of-thought reasoning
- Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation for NR-IQAMultimodal LLMs / vision-language models → Image editing and quality assessment
- DiaWhisper-DPO: Role-Attributed Transcription of Clinical Interviews via Failure-Mined Preference OptimizationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- Channel-Wise and Token-Aware Post-Training Quantization for Visual State Space DualityState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Mechanism-Level Evaluation for Vision-Language Models: Controlled Activation-Replacement Diagnosis of Gender BiasMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- ViD: Vision-Dominant Gender Bias Mitigation for Large Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- What Do Hallucinations Reveal About Multimodal Reasoning? Diagnosing Visual Grounding Failures via Contrastive Decoding ProbesLLM reasoning → Hallucination detection and mitigation
- WholeBodyWAM: Generalizing Pre-trained World-Action Priors to Humanoid Loco-Manipulation via WBC-Grounded CoordinationWorld models → Humanoid and legged locomotion world models
- SAVLA: Symmetry-Aware Vision-Language-Action Models for Robotic ManipulationVision-language-action models → 3D and spatial-aware VLA
- ReDraft, Don't Just Distill: Reference-Driven Revision for Continual VLLM Post-TrainingMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- EchoPath: Execution-Level Replayable Memory for GUI AgentsLLM agents and tool use → GUI and mobile agents
- AURA: Agentic Diagnosis and Refinement for Production Recommender Systems at ScaleLLM agents and tool use → Agentic recommender systems
- Divergence Timing and Cumulative Disagreement under KV-Cache EvictionEfficient LLM inference and serving → KV cache optimization
- EgoPathBench: Evaluating Zero-Shot Egocentric Waypoint Decision-Making in Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucination MitigationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Large Language Models in the Loop: A Stability- and Network-Aware Survey in Networked Control, Cyber-Physical, and Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Do LLMs Have Values? A Quantitative Analysis and Alignment Framework for Values in Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- AsyncCouple-Flow: Asynchronous Cross-Modal Coupling and Flow Matching for Spatio-Temporal ForecastingDiffusion models → Flow matching, time series and science
- Efficient Text-to-Image Generation: An Adaptive Step Schedule Controller for Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Query-Aware Source-Risk Triage for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- PunGraph: Retrieval-Enhanced Phonetic-Semantic Graph Reasoning for Pun UnderstandingLLM reasoning → Knowledge- and tool-augmented reasoning
- What Does Layer-Importance Reveal About Transformers and State-Space Models?State-space sequence models (S4, Mamba) → Core SSM architectures for language
- Style-Debiased DPO: Updating LLM Knowledge with Factuality-Aware Synthetic Preference DataLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- FlowATC: Aircraft Trajectory Prediction via Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- QALPA: Property-guided diffusion modeling for efficient exploration of chemical spaces of flexible moleculesDiffusion models → Flow matching, time series and science
- AquiLLM: Evaluating Faithfulness in Open-Weight RAG-LLM Systems for Scientific ResearchRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Dense to MoE Adaptation for Compact Vision Language Action PoliciesVision-language-action models → Generalist VLA models and benchmarks
- PipeSwift: Revisiting Pipeline Parallelism for Large-Scale Completion-Oriented Agentic LLM ServingEfficient LLM inference and serving → Efficient reasoning and agent inference
- Skill-based Agentic Evaluation for Real-time Data Science TasksLLM agents and tool use → Web, search, and research agents
- VPRef: A Cross-Domain Benchmark for Referring Remote Sensing Image SegmentationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Protocol-Preserving Context Trimming for Agentic Workflows: Benefits, Failure Regimes, and Budget GuardrailsLLM agents and tool use → Tool learning and function calling +1
- OPD-Aha: From Linguistic Momentum to Visual Reflection in Multimodal On-Policy DistillationLLM reasoning → Multimodal reasoning +1
- Predicting Partial Answer Quality and Utility in Agentic Retrieval-Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Early-Bird Decoding: Accelerating Diffusion LLMs with Learnable Block Sizes and Parallel SamplingEfficient LLM inference and serving → Diffusion LLM and MoE inference
- When Can World Models Recover Physical Laws?
- Efficient Analog-Initialized Latent Transport for Spatially Coherent Probabilistic Downscaling from Global to Kilometer Scales
- Unsupervised spiking feature learning for event-based pedestrian crossing detection: approaching supervised accuracy without labelled training data
- One-Step Is Optimal: Unconditional Rectified Flows are Noise2Noise Denoisers, and Multi-Step Integration Provably Hurts---A Benchmark and Task-Based Detectability Study on Low-Dose CT
- NanoForecast v0.5: Competitive Time Series Forecasting Through Training Pipeline Optimization
- Query-aligned video frame selection for long video understanding
- Age-Adaptive Handwriting Reconstruction from an IMU-Based Digital Pen through Shared Representations and Domain-Specific Heads
- Language-Augmented Video Action Anticipation: Design Fundamentals, Benchmarks, and Open Challenges
- LLM-Guided Ontology-Driven Knowledge Graph Construction from Unstructured Text
- Learning Steadily: Accumulating Relative Point Margin Scores for Face Image Quality Assessment
- ForensicZoom: Adaptive Visual Inspection with Multimodal LLMs for Industrial-Grade Face Forgery Detection
- Parser, Chunking, and Embedding Interactions in Retrieval-Augmented Generation over Indian Government Regulatory Documents
- Cross-Material Support Transfer for Core-Loss Prediction Under Waveform Covariate Shift
- Cross-Dataset Transfer and Unknown-Class Detection in Imbalanced SAR Ship Classification
- Enhancing Foundation Models for Imbalanced SAR Ship Classification via Targeted Oversampling
- From Phase Transition to Systemic Failure: A Decoupled Analytics Framework for GNN Robustness
- One Evaluation, Any Operating Point: Hypernetwork-Amortized MeanFlow for 3D MRI Reconstruction
- AI in Science: Early Insights
- Stable and Faithful Explanations for Knowledge Tracing
- TTTIR: Unlocking Instance-Specific State Evolution via Test-Time Training for Image Restoration
- Yarn tracking of large-scale 3D textile reinforcements using topological material features
- GameReplica: A Benchmark for Black-Box Visual Game Replication by Vision-Language Agents
- TAPe+ML: A Compact Structured Representation for Multi-Task Computer Vision
- Automated Physics-Informed Neural-Networks-Based Calibration of Highly Segmented Silicon Telescopes
- Message capacity and claim wording set the transition points of collective truth-finding in language-model networks
- What Do We Expect from LLMs? Mapping the Design of LLM Benchmarks
- Optimal Transport Metric Learning for Feature Alignment in Partially Supervised Segmentation
- Locating Hidden Failures Makes Long-Horizon Agents More Reliable
- Symmetry without a manifold: intrinsic dimension on orbits
- Rapid Loss of the Sierra Nevada's Largest Trees Driven by Fire
- Audio for Sports Highlight Detection: A Comparative Empirical Study
- EdgeReMIND: A Scalable, Top-Ranked Memorization Baseline for Temporal Multi-Relational Link Prediction
- Face-voice Association across LAnguages and Gender (FLAG) 2027 Challenge Evaluation Plan
- Walking the Score Manifold: Continuous-time Generative Dynamics on Learned Data Manifolds
- Generalized DCCQ: From Binary Quotients to Multinomial Simplex Geometry and Critical-Strip Coordinates
- QEMScore: How Much Does the Measurement Add to Learned Quantum Error Mitigation?
- TabPFN-3.5: Technical Report
- Bracketing Uncertainty in Clustering Under the Manifold Hypothesis
- Long-Context Demonstration Selection Using State Space Models
- Dataset-Dependent Effects of Cross-Depth Aggregation and Soft-Routed Experts in EEG Foundation Model Fine-Tuning
- The Unbearable Weight: Scaling Models and Methods for UAV Audio Classification
- Does AI Assistance Leave a Temporal Fingerprint? Detecting Overreliance in AI-Assisted Writing and Programming
- Can VLMs Reliably Assess Sidewalk Accessibility Attributes from Pedestrian-Level Imagery?
- Uncertainty-Aware Continual Learning for Open-World Intent Discovery Under an evolving Label Space
- Do Frontier Models Seek Safety Evidence Before Acting?
- Who Judges Matters: Measuring Family-Conditioned Preference in LLM-as-Judge Panels
- Investigating Adversarial Robustness of Heterogeneous Cooperative Perception
- SNOMED CT Concept Recommendation from Masked Clinical Context
- AfriSyCo: Measuring Assertive Framing, Verification, and Wording Sensitivity Around African-Language Content
- Sharp margin-based generalization bounds for realizable SVM
- RoboVAD: A Large Cross-Domain Evaluation Benchmark for Anomaly Detection in Robotic Arm Manipulation Videos
- Hybrid coupling with numerics-informed neural networks and the overlapping Schwarz alternating method
- Learning Nuclear Structure with AI: Radii and Collectivity
- Procedural Pretraining for Molecular Property Prediction
- NObSP: Functional Decomposition of Neural Networks via Oblique Subspace Projections
- Learning Multi-Humanoid Pickup and Transport via Decentralized Object-Centric Control
- CALIPER: Metric-Grounded Model-Free Recognition of Visually Similar Industrial Parts
- The Free Inference Dimension: Complexity Measure for Zero-Collision Navigation under Hypothesis Mixtures
- Principled Koopman Representations with Kalman Inference for Efficient Time-Series Prediction
- Wind on Trees: Testing Physical Grounding in Dynamic 4D Gaussian Splatting
- Synthetic Electric Vehicle Charging Session Generation Using a Conditional Variational Autoencoder
- Approximating Measures on Function Spaces: Transport and Truncation
- Random tilts to find stationary points in stochastic convex optimization
- QiT: Quantum-Inspired Transformer for Visual Recognition Task
- SAiFE-gym: Model-based Environments for Automated Market Making with Concentrated Liquidity
- AI and Human Approaches to Mathematical Problem Solving
- Information Set Emulation: Causal Certificates for AI Derived EHR Features
- SAGE: Governed Artifact Generation from Enterprise Guidelines
- When AI Generates Covariates: Causal Typing and Estimand Drift in Sequential Experiments
- How Calibration Content Shapes Attention-Based Reranking
- Modular Deep Learning Mechanisms for Auditable Next-Day Wildfire Spread Prediction
- Is Luke the Author of a Gospel and the Acts of the Apostles?
- Derivative-Free Structured Updates for Muon
- Evolution of US Oral Political Language
- Beyond Performance Metrics: Uncertainty Mapping of Label Ambiguity in Fazekas Score Prediction
- How to make effective use of domain experts for image classification?
- SAM-on-the-Curve: Sharpness-Aware Mode Connectivity for Robust Weight-Space Interpolation
- Is Trump's Vocabulary Poor? Vocabulary Richness Across Texts of Different Lenghts
- Geometry-Driven Shadow Harmonisation for Composited Faces: A Multiplicative, Albedo-Preserving Relighting Pipeline
- Similarity Pairing with Energy Mover's Distance for Self-Supervised Pre-Training at the LHC
- Machine learning kinetics from molecular dynamics data
- A Systematic Evaluation of the COTQ Provincial Land Cover Product: Structural Consistency, Spectral Separability, and Relative Positioning Against ESA, ESRI, and Google Products
- FAME: An FPGA-Based Platform for Approximate Multipliers Evaluation with Pattern-Guided DNN Retraining
- Self-Supervised Learning for Robust Resonance Mass Regression in Cascade Decays
- Decoding Extrahepatic Targeting of Lipid Nanoparticles with Interpretable Machine Learning
- NeMo Data Designer: An Extensible Framework for Multimodal Synthetic Data Generation
- GVD: Governed Versioning and Deduplication for Document Repositories
- DSD: Learning Diverse and Reusable Motor Skills via Diffusion Skill Discovery
- Efficient Robust Learning at the Information-Theoretic Limit
- Regularized Least Squares Training of Quadratic Neural Networks with Applications to System Identification
- Robust and Efficient AI Frameworks for Scalable Material Design and Property Prediction
- Scaling Articulated Rationales for MLLM-based Recommendation
- Lecture notes on Physics Informed Neural Networks, Neural Operators, and their applications
- What You Can't See Is Still What You Learn: A Preregistered Sixty-Society Confirmation That Evidence Masking Drives Compositional Generalization
- Physics-Constrained Digital Twins for Sensor Integrity in Urban Pedestrian Flow: Detecting Stealthy False Data Injection with Conformal Guarantees
- One Color Preprocessing Improves DSATUR
- Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records
- Fenchel-Young Duality Gaps: Certified Early Stopping for Regularized Inverse Problems
- LEAP: Learning Emergent Active Perception for Quadruped Navigation
- ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents
- PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control
- When Should LLMs Abstain? Chain-of-Self-Questioning for Selective Risk Control
- LACE: Layer-Wise Compression for Dynamic Frame Rate Codecs
- ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language Navigation
- FreqSpaNet: Frequency and Spatial Learning of SFPF for Physical Layer Hardware Integrity Detection
- LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence
- Bridging the Gap Between Homogeneous and Heterogeneous Asynchronous Optimization Is Surprisingly Difficult
- Det-LIME: Detector-Aware, Multi-Instance Local Interpretable Model-Agnostic Explanations for Automated Marine Mammal Detection
- Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory
- Decomposition Buys Integrity, Not Yield
- Tables Decoded: DELTA for Structure, TARQA for Understanding
- ORCA: Occlusion-Aware Refinement and Completion for Novel View Synthesis
- Reduced-Space Multi-Fidelity Bayesian Optimization of Process Simulation Models
- Evaluating Verified Autonomy in Quantum Engineering
- Right Tool, Right Job: Native-Language Evaluation, Tokenizer Sensitivity, and Methodological Findings from a French-Only BabyLM
- CareMirror: Bringing Caregiver Wellbeing into the Dementia Care Ecosystem
- Learning-Guided Planning in Large Dynamic Action Spaces: Budgeted Tree Search for One-to-Many Mobile Charging
- Tracking the Unseen: An Occlusion-Robust Framework for Target Tracking Under Full and Long-Term Occlusion
- SSC-Priors: Exploring Semantic and Visibility Priors to Boost Lidar Semantic Scene Completion
- Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation
- FlashVector: Agent for Hierarchical Model Serving Stack Optimization
- PanoGS-SLAM: Panoramic 3D Gaussian Splatting SLAM
- Bridging the Confidence Gap: Temperature Scaling for Calibrating Test-Time Prompt Tuning
- OPEN-1B: A Fully Auditable Training Run
- Large Language Models Develop Belief State Geometry In-Context
- Same Words, Different Actions: Paired Turn-Taking Evaluation under Rewritten Dialogue Contexts
- Hybrid Variational Quantum Circuits for Multivariate Regression and High-Dimensional Data Reconstruction
- Where Should a Document Live: Context, Representations, or Parameters?
- Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning
- From Transient Prompts to Persistent Control: Scientific Poster Generation via Recursive Semantic-Geometric Contracts
- Zero-shot narrative detection in social messaging
- Optical-Flow Wingbeat Counting in MuJoCo: A Comparison of Convolutional, Spiking, and Attention-Based Temporal Models
- Quantum-Inspired Trainable and Parameter-Efficient Tensor Networks for Image Inpainting
- Goal-oriented probabilistic forecasting for dynamic PRB allocation in 5G networks
- Conformal Policy Learning with Distribution-Free Safety Guarantees
- Extracting ontology-compliant knowledge from scientific text describing irradiated materials using large language models
- After the Party: Growth, Governance, and Security Scanning in the OpenClaw Agent Skill Ecosystem
- Towards Illusions Awareness in Cyber-Physical System's Design
- Exploring 2D backbone effects for indoor semantic occupancy prediction
- Persistent Recurrent Memory Between Transformer Layers - Improves Language Model Generalization
- Covariate Selection for Doubly Robust Double/debiased Machine Learning Estimators for Causal Inference
- AraMIP: Extending MIPVU Towards Metaphor Identification in Arabic
- DecoGS: Adaptive Static-Dynamic Decoupling of 3D Gaussians for Free-Viewpoint Video Streaming
- Easy to Catch a Liar, Hard to Clear an Honest One: Language Models Diagnosing a Corrupted Reward Channel from a Verified Record
- Psychological Effects of Cultural Upheavals from Millions of Song Lyrics Over 100 Years
- Memorisation bias in medical AI
- InfoTaxa: Information-Calibrated Label-Free Clustering for Fine-Grained Visual Taxonomy
- Probe-VAD: Ordinal Likelihood Probing for Training-Free Video Anomaly Detection
- Cross-Domain Inference for Human Localization: Applying Wi-Fi RSSI Data to CSI-Trained Models
- EventEgoHands++: Event-based Egocentric 3D Hand Mesh Reconstruction with Real Dataset
- Multimodal Cultural Heritage Architectural Style Classification for Residential Buildings in the UAE Based on CLIP Embeddings and SVM
- MOCC-R1: Reinforcing Reasoning-Response Consistency for Multimodal Counselor Response Generation
- IRENE: A Convolutional GRU Ensemble Model for Radar Precipitation Nowcasting over Italy
- A unified framework for global and local interpretability using adaptive derivative-ordered random explanation
- MUMINS: Metadata-conditioned Uncertainty-aware Medical Image Next-state Synthesis
- HuMemSLAM: Efficient Human-Inspired Semantic Place Recognition for Robust Visual SLAM
- Neural Field Ensembles for Aerodynamic Surface Prediction: Winning Solution to the ONERA CRM Wall Distribution 2025 Challenge
- Continual Learning for Traversability Prediction with Uncertainty-Aware Adaptation
- From Foundation Embeddings to Cropland Maps: Label Efficiency, Temporal Transferability and Independent Human Validation
- Event-based Selective Attention for Multi-resolution Fast Region of Interest (ROI) Detection
- Predicting Human Disagreement for Calibrated Dynamic Facial Expression Recognition
- AI for Science with GPT-6 Astra: Thermal Design and Electrothermal Analysis of 2D CFET
- An Empirical Study of Counterfactual Self-Explanations in LLMs
- Not Another Text Benchmark: Putting the "Visual" Back in Visual Question Answering for Large Video Models
- Finding Common Mistakes In Modelling With Mathematical Formalisms Using LLMs
- Shared-Prefix KV Reuse Across Standard LoRA Adapters: Quality and Serving Tradeoffs
- High-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid Dynamics
- Semi-Supervised Learning-Based Genetic Biomarkers Dataset for Multiple-Stage Hepatocellular Carcinoma Prediction
- GeoLAM: Learning Geometry-Grounded Latent Actions from Unlabeled Human Videos
- Hub-Spectral Activation of Latent Multimodal Knowledge
- Scaling-Score Conformal Prediction for Multi-Target Regression
- Optimization over covariance matrices with a parameterized metric
- Interactive Memory Learning for Long-Term Conversations
- EviScope: Paired Counterfactual Evidence Diagnostics for Faithful and Efficient Grounded Language Models
- Sample-Conditioned Representation Selection for Audio Few-Shot Learning
- Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation
- Bio-Inspired Palette Evolution in Indirectly Encoded Substrates: Timescale Compatibility Shapes Activation Function Discovery
- Beyond "ChatGPT Can Make Mistakes": Designing Interventions to Support Metacognitive Monitoring in AI-Assisted Work
- Neuro-Symbolic Hierarchical Intention Anticipation in Human Behavior
- Repurposing Unified Topological Signatures for Graph Representation Learning
- Audio-Visual Turn-taking Prediction in Cocktail Party Scenarios
- Near-Optimal Nonconvex Matrix Completion
- Diagnosing the Fact-Grounding Gap in Multi-Hop Question Answering
- Learning Options for Compositional Motor Control with Adapter Banks
- Sparse MLLM Anchors, Dense Adaptation: Breaking the Self-Referential Loop in Wild Test-Time Adaptation
- Bi-FlowGS: Bridging Generative View Completion and Gaussian Geometry through Bidirectional Flow Co-Refinement
- Distributed JEPA: A Self-Supervised Framework for Energy Forecasting
- CLARE: Scalable Class-Incremental Continual Learning via a Sparsity-Based Framework
- Beyond Measurement Metrics: A Human-Centered Framework for Semantic Validation of Network Traffic Classification
- ThinkFlow: Self-Evolving Probabilistic Latent Memory for Lifelong Conversational Agents
- Can LLMs Follow the Pulse of a Crisis? Evaluating Crisis Sentiment in Bangladesh's July Uprising
- The Role of Implicit and Explicit Demographic Signals in Large Language Model-based Student Assessment
- Autoformalizing Argumentative Material Inferences
- Nameless Tokenization: A Lossless Tokenizer-Level Defense Against Control-Token Forgery in Open-Weight LLMs
- Structural Negative Transfer in Federated Graph Neural Networks: Diagnosis, Causal Investigation, and the Limits of Divergence-Aware Mitigation
- Splitting the Difference: Interpretable Causal Forests for Treatment Effect Heterogeneity and Bias
- HUMAID-NER: A Disaster Tweet Dataset for Joint Named Entity Recognition and Event Classification via Uncertainty-Weighted Multitask Learning
- Affect-Prototype Guided Fusion for Open-Vocabulary Incomplete Multi-modal Emotion Recognition
- Learning Choice Model Trees for Feature-Based Multi-Product Pricing: Exact Optimization and Field Evidence
- AntennaFlow: A Generative Flow Model for Offset Correction in Phaseless Antenna Testing
- AeroLat: Channel-Aware Latent Space Semantic Communication for Decentralized UAV Swarms
- High-Fidelity Video Quality Assessment with VQA-Specific Saliency
- When Confidence Signals Disagree: Local and Global Confidence in Autoregressive Language Models
- Causal Discovery via Transformed Low-Rank Quantile Surfaces
- Repurposing Deep Limit Order Book Forecasting for Scenario-Conditioned Market Impact Modeling
- Evaluating Mesh Reconstruction Methods for Crop Phenotyping
- HyCoSeq: Contextual Hyperbolic Representation Learning for Genomic Sequences
- Multi-Agent Learning with Cooperation-Driven Optimization Dynamics
- Lit3R: Retrieve-Relate-Read for Evidence-Grounded Question Answering over Scientific Literature
- PiPS: Post-Hoc Prototypical Explanations for Interpretable Semantic Segmentation
- Disrupted Companionship: A Risk Assessment Framework and Cross-Platform Quantitative Analysis of Psychosocial Responses to AI Companion Disruptions
- Deconstructing Stereotypes: Scope-Conditioned Generation for Effective Multilingual Counterspeech
- RiskChainBench: A Benchmark for Obfuscated Platform Message Restoration and Evidence-Grounded Web Investigation
- OptiPrime: Optimizing Private Inference through Protocol-Hardware Co-design
- Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Images
- Bridging Learned Visual Perception and Symbolic Belief-Space Planning
- VOR-Bench: A Human Perception-Driven Benchmark for Video Object Removal
- Multi-modal Knowledge Preserving Adapter for Embedding Backward Compatibility
- Accelerated Decoding of Centroid Positional Encoding for Instance Segmentation
- NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI
- GRACE: Geometry- and Ray-Aware Camera-Efficient Multi-View Pedestrian Tracking
- SPEAR NeXT Causal Latent Forecasting Across Multiple Horizons for Spectral Temporal Earth Representation Learning
- tcnerv:dual-domain temporal context modeling for implicit neural video compression
- Reduplicative constructions in Mandarin: Socio-emotional profiling through distributional semantics
- Measuring Annotation Efficiency for Handwritten Devanagari Recognition: Sample-Complexity Curves for Four Pretraining Regimes
- The Evolution of Coordination in a Collective Intelligence System: 25 Years of English Wikipedia and the Emergence of Generative AI
- A Data-free Universal Prior over Syntactic Structures
- Can Deep Learning Achieve Cross-Physics Mapping?
- CoAdapt: An LLM-based Framework for Adaptive Collaborative Perception in IIoT Robotic Swarms
- FAHCD-Net: Frequency-Adaptive Heatmap-Conditional Diffusion Networks for Robust Facial Landmark Detection
- What Breaks Local Watermarks? A Robustness Benchmark for Local Invisible Image Watermarking
- Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories
- Adapting to Decision-Relevant Non-Stationarity in Decentralized Heterogeneous Bandits
- LCAP: Population-Informed Latent Chip Adaptation from Few Output Probes for Photonic Neural Networks
- Execution Flexibility in Automated Planning: A Comparative Evaluation of Deordering and Reordering Strategies
- ImpossibleRubrics: Stress-Testing Generated Rubrics as Reward Signals
- Can We Do Interpretable NLI with Graphs Based on Atomic Propositions?
- Hyper-RED: Scalable Event Pre-training via Semantic Hypergraph Distillation
- Geometry of learning dynamics: Gradient descent versus natural gradient on the ridge of optimization
- SOTER: A Generative Time-Series Foundation Model for Wearable Human Physiological Signals
- On the disintegration of the stochastic majority vote: From PAC-Bayesian bounds to a self-bounding algorithm
- Smarter by the Moment: Environment-Driven Dynamic Policies for Continual LLM Improvement
- TEDi: Temporal Memory-Enhanced and Denoising Transformer for Surgical Instrument Segmentation
- Time-warping estimation via stationarity-based learning of the de-warped signal
- Available but Unclaimed: An Empirical Study of Human-AI Synergy
- Noise2Noise Revisited: Training Pair Distributions Dominate Loss Choice in Self-Supervised Denoising
- PSMP-CLIP: Patch-Prompt SAM and Multi-Semantic Prompting for CLIP-Based Zero-Shot Anomaly Detection
- Integrating the Analytic Hierarchy Process with Large Language Models for Transparent Multi-Criteria Decision-Making
- Benchmarking Factual Robustness of LLMs via Multi-conversation Persuasion
- IMVS: Interactive Medical Volume Segmentation with Test-Time Adaptation - A New Method for Annotating Radiology Datasets
- FSANet: Frequency-Spatial Aware Network for Image Segmentation
- Robust 3D Reconstruction from Multi-View Optical Satellite Imagery via Reliability-Aware Height-Evidence Fusion in Gaussian Splatting
- Coverage-Aware Virtual IMU Augmentation for Low-Resource Human Activity Recognition
- De-GAN - Dynamic Parameter Tuned GAN for 3D Medical Image Segmentation: A Step Towards Generalisation
- Beyond Episodic AI: Cognitive Field Networks for Biologically Inspired Persistent Cognition
- Constant Swap Regret in General-Sum Games via Two-Scale Higher-Order Optimism
- TIAO: Token Importance-Aware Policy Optimization for Text Summarization
- The Latent That Never Was: A Forensic Re-run of the CVAE Ablation in Action Chunking Transformers
- A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids
- Carry-Through Checksum: A Lightweight Fault-Detection for CNN Inference at the Edge
- Japanese Stroke LLM Evaluation: A Conversational Benchmark for Safe Stroke Care in Japanese Using Large Language Models
- Unified Heterogeneous Graph Neural Network solver for Power Flow, Optimal Power Flow and State Estimation
- Visual Cue Guided Video Planning for Generalizable Robot Navigation
- LSREP: A Longitudinal State-Replay Protocol for Evaluating Conversational Memory, with ICE v2 as an Audited Local-First Architecture
- PriorPose: Reference-Guided Joint Deformation and Alignment for Category-Level Object Pose Estimation
- Continuous-Time Machine Learning: A Unified Mathematical Perspective
- MAETrack: Unleashing the Potential of Pretrained Geometric Priors for 3D Single Object Tracking
- Differentiable Mesh State Estimation via Factor Graph Inference for Deformable Object Reconstruction
- MEgoVista: Multi-view Ego-aware Motion Estimation for Metric 4D Hands and Head in the Wild
- Weave: Learning Whole-Body Dexterous Loco-Manipulation from Human-Object Interactions
- Lesion-centered 3D mapping of colonoscopy procedures: validation of a hierarchical ensemble pipeline on public benchmark videos
- ANIMASK: What the Model Contributes to Role Play in Simulated Story Worlds
- SAVTrack: Selective Vote Aggregation for Reliability-Aware Point Cloud Tracking
- Rewarding Reasoning, Not Answers: Fixing and Bounding Test-Time Reinforcement Learning on Medical QA
- GrowMTP: Can RL Grow Its Own Draft Head?
- Can Knowledge Transfer Parameters Be Learned? LePoKet for Efficient Robotic Vision
- Quantifying Organizational Environmental Action from Web Data and Large Language Models
- JewelTry: Mask-Free Scale Aware Jewelry Virtual Try-On
- Characterizing Heterogeneous Rates in Finite Mixture Estimation via Partial Optimal Transport
- Stable by Construction: Variational Latent Markov Operators for Long-Horizon PDE Prediction
- RoleBreak: Benchmarking Long-Horizon Role-Playing Robustness in Spoken Dialogue
- Structure Across Voices: Comparing acoustic-event type accumulation and sequence dependence across four vocal repertoires using frozen audio encoders
- A Weighted Kernel Method for Approximation that Adapts to Learned Multivariable Structure
- G3AR: Graph-Guided Neural Visual Geometry for Scalable Multi-Sequence Aerial Registration
- A Vision-Language Foundation Model for Precise and Comprehensive Brain Tumor Diagnosis from Preoperative Multimodal Data
- FRPSS: Feature Rearrangement in Pre-Shape Space for Single-Image Generation
- A Framework for Generating Valid Context-Specific Benchmarks through Expert Guidance
- FLAT: Resampling Image and Text into 1D Flexible-Length Aligned Transmodal Tokens for Retrieval and Generation
- Challenges of Auditing: Variability in Outputs of Large Language Models for Health
- ProxiDex: Learning Dynamics-Guided Proximity Policy for Dexterous Manipulation
- CLASH: Counterfactual Auditing of Lexical and Prosodic Reliance in Spoken Sarcasm Detection
- Recovering Governing Dynamics from Distributed Observations via Exact Spline Merging
- GraLoD: Graphics-Inspired Continuous Level-of-Detail Learning for Image Restoration
- Counterfactual Reasoning for Robust Visual Question Answering
- Vision And Text Transformer For Predicting Answerability On Visual Question Answering
- The MAL Simulator: Cyber Operations Simulation based on Attack & Defense Graphs
- Supervising the Chain Ladder
- Which Pretext Task Transfers? Self-Supervised Pretraining Objectives for Lung Ultrasound
- QueryFormer: Winning Solution for KDD Cup 2026 Tencent UniRec Challenge
- A Cyber Range Evaluation of Autonomous Network Incident Response Agents
- On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models
- Competence-Preserving Resume Perturbations Expose Presentation Sensitivity in LLM Screening
- Causal Path Analysis from Perturbational and Population-Scale Single-Cell Data with Multiscale Confounding and Measurement Error
- Beyond the Name: Demographic Leakage in De-Identified R'esum'es and Evaluation Artifacts in LLM Bias Audits
- High-Performance Tensor Formulation of the Viterbi Algorithm for Hidden Semi-Markov Models
- Geospatial Metadata Improves Discoverability by Connecting Datasets Across Scientific Disciplines
- AI Policies: Help or Hindrance? A Software Developer's Perspective
- From Manual Construction to AI-Driven Scenario Emergence: Rethinking Catastrophe Risk Modeling
- Decoder Design Matters for ECG Delineation
- Certified Inference and Training for Deep Equilibrium Networks: A Continuation Framework with Polynomial Complexity Guarantees
- MDN-Control: Mask-Depth-Noise Guided Region Control for Multi-Subject Video Editing
- Online Gradient Computation for Warping Gaussian Process Transformations
- HairCS: Reconstructing Strand-Based Hair from Hair Cards
- A multimodal large language model for evidence-based autism spectrum disorder screening
- Not All Relations Are Equal: Relation-Balanced and Calibrated Graph Learning for Provenance-Based Intrusion Detection
- Language Orthogonalization for Zero-Shot Cross-Lingual Audio Deepfake Detection
- Fine-Tuning Fixes Mode Collapse and Over-Dispersion in LLMs
- Decentralized Gossip Learning and Federated Averaging for Histopathology Image Classification
- Adaptive Bayesian Partner Selection for Federated Clinical Centers