Papers
Mon 13 Jul 2026
429 papers
- Think Before You Comfort: Reflective Cognitive Alignment for Protocol-Grounded Elderly Stimulation AgentsLLM reasoning → Clinical and biomedical applications +1
- Improving LLM Interpretability with User-Centric Chain-of-Thought ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- IDP AutoOpt: Agent-Driven Optimization of Document Processing Pipeline ConfigurationsLLM agents and tool use → Web, search, and research agents
- IFCMemoryBench: Evaluating Long-Term Memory of LLM-Based Agents in BIM Information RetrievalLLM agents and tool use → Agent memory systems
- RRS-10K: A Multitask Vision-Language Model Benchmark for Rare Remote Sensing Image InterpretationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SevDiff: Severity-Conditioned Diffusion for Long-Tail Conflict Trajectory GenerationDiffusion models → Diffusion and flow policies for robotics
- StrideDiffusion: Accelerating Diffusion Models for Time-series GenerationDiffusion models → Diffusion foundations and sampling
- FedDP-PALD: A Privacy-Preserving Federated Latent Diffusion Framework with Prototype Aggregation for Medical Data SynthesisDiffusion models → Robustness, privacy and adversarial aspects
- A2BM: Alignment-Aware Bridge Matching for Image-to-Image TranslationDiffusion models → Flow matching, time series and science
- Self-Improving AI Coding Agents Through Accumulated Behavioral Rules: A Closed-Loop FrameworkLLM agents and tool use → Software engineering coding agents +1
- Securing LLMs in the Wild: Privacy and Security Challenges at the EdgeLLM safety and security → Membership inference attacks
- Baselines Before Architecture: Evaluating Coding Agents for Autonomous Penetration TestingLLM agents and tool use → Agent threats, guardrails and governance
- Phantom Guardrails: When Self-Improving Agent Harnesses Fix Failures That Never HappenedLLM agents and tool use → Software engineering coding agents +2
- Beyond AI-Generated Labels: Watermarking, Co-Creation, and Conflation of AI-Generation with DisinformationLLM safety and security → Watermarking generated content and models
- SingGuard-NSFA: Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time ClassificationLLM agents and tool use → Agent threats, guardrails and governance +1
- Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMsLLM agents and tool use → Agent memory systems
- Contract-Grounded Behavior Tree Synthesis via Coding AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Fine-Tuned Multi-Agent Framework for Detecting OCEAN in Life NarrativesLLM agents and tool use → Social simulation and multi-agent debate
- Cost-Governed RAG: Unified Per-Tenant Cost Attribution Across Retrieval and Generation in Multi-Tenant LLM SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- Self-Consistent Flow: Unifying Velocity and Endpoint Prediction for Rectified Flow ModelsDiffusion models → Flow matching, time series and science
- Token Reduction Is Not Cost ReductionLLM agents and tool use → Agent memory systems +1
- An Agentic AI Scientific Community for Automated Neural Operator DiscoveryLLM agents and tool use → Web, search, and research agents
- FlashDiff: Efficient Regional Execution and Scheduling for Diffusion Model ServingDiffusion models → Diffusion foundations and sampling
- Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMsLLM agents and tool use → Agentic AI for wireless networks
- TraceSynth: Generating Production-Quality Kernel Traces with Constraint-Guided Diffusion ModelsDiffusion models → Flow matching, time series and science
- CityBehavEx: A Scalable and Empirically Validated LLM-Assisted Urban Simulation PlatformLLM agents and tool use → Multimodal and embodied agents
- Operationalising Multi-Dimensional Evaluation for Conversational Agents: A Scalable, Governed Pipeline with Selective Re-evaluation and Model BenchmarkingLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Capacity of Thought: Benchmarking Llama 3.2 in Semantic fMRI Neural Language Decoding and Improving the Huth Encoding-Model BaselineLLM reasoning → Reasoning benchmarks and evaluation
- Beyond Test Presence: Assessing the Quality and Robustness of Agent-Generated Tests in Open-Source ProjectsLLM agents and tool use → Software engineering coding agents
- AutoTrace: From Patches to Triggers via Agentic Interprocedural ExplorationLLM agents and tool use → Agent threats, guardrails and governance
- Designing Agent-Ready Websites for AI Web Agents: A Framework for Machine Readability, Actionability, and Decision ReliabilityLLM agents and tool use → Web, search, and research agents
- Agentic systems for breast cancer treatment recommendationsLLM agents and tool use → Medical and scientific domain agents
- EFLUX: Elastic Multi-Robot Formation Navigation and Adaptation with Agentic LLMsLLM agents and tool use → Multimodal and embodied agents
- SymbOmni: Evolving Agentic Omni Models via Symbolic Concept LearningLLM agents and tool use → Multimodal and embodied agents
- Underwriting the Agent Economy: The Blueprint for an AI Insurance StackLLM agents and tool use → Financial trading and forecasting agents
- Signal-Guided Optimization for Machine UnlearningLLM safety and security → Machine unlearning
- Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Requential Coding: Pushing the Limits of Model Compression with Self-Generated Training DataSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Invariant Learning Dynamics of Transformers in Inductive Reasoning TasksLLM reasoning → Prompting and chain-of-thought reasoning
- Beyond the Single Camera: Agentic Multi-View Reasoning in Sports Video UnderstandingLLM reasoning → Multimodal reasoning +1
- Cycle-World: Mitigating Error Accumulation in Long-term Video World Models via Reverse-Prediction Cycle ConsistencyWorld models → Video-generation world models and simulators +1
- MM-ToolSandBox: A Unified Framework for Evaluating Visual Tool-Calling AgentsLLM agents and tool use → Multimodal and embodied agents
- An Exact Instrument for State Usage in Selective State-Space Models, and the Input-Driven Migration It RevealsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- How Temperature Shapes Ideological Discourse in Retrieval-Augmented Generation?Retrieval-augmented generation → RAG robustness and adaptive retrieval
- From Global to Factor-Wise Expert Composition in Discrete Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
- MET: Theory-Grounded and Culture-Aware Multilingual Moral ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Active Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- An Explainable Agentic System for Detection of Conversational Scams with Summary-Based MemoryLLM agents and tool use → Agent threats, guardrails and governance
- Agent Hacks Agent: Autoresearch for Production-Agent Red-TeamingLLM agents and tool use → Agent threats, guardrails and governance +1
- Think Through a Bottleneck: Hourglass Reasoning for Rigorous InductionLLM reasoning → Reasoning benchmarks and evaluation
- From World Action Models to Embodied Brains: A Roadmap for Open-World Physical IntelligenceWorld models → World models for navigation
- RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLMRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- ABot-3DWorld 0: A Universal World Model to Explore Any 3D SpaceWorld models → Video-generation world models and simulators
- Feature-Space Guided Diffusion for Realistic Ultrasound Image SynthesisDiffusion models → Medical imaging and segmentation
- Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation ModelWorld models → Embodied and robot world models
- Lesioned Multimodal Language Models Reproduce Aphasic Picture-Naming PatternsMultimodal LLMs / vision-language models → Medical vision-language models
- ThinkLog: Leveraging Reasoning for Log Statement GenerationLLM reasoning → Reasoning for agents, planning and code
- Interaction Scaling: Grounding the Third Axis of Test-Time ComputeLLM reasoning → Test-time compute and efficient thinking
- HCRMap: Pressure-Aware Hot-Expert Residency Mapping for 3.5D MoE Chiplet InferenceMixture-of-experts → Efficient MoE training and inference systems
- Actor as Its Own Critic: Unifying Region Understanding and Localization via CycleGRPOMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DiffEEG: A Self-Supervised Denoising Diffusion Model for Learning EEG Generic RepresentationsDiffusion models → Medical imaging and segmentation
- Heuristic Learning for Active Flow Control Using Coding AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- PaperRouter-Agent: A Content-Grounded LLM Agent for Personalized Hierarchical Paper RoutingLLM agents and tool use → Web, search, and research agents
- Adaptive Routing for Efficient Diffusion Transformer-Based PNI PredictionDiffusion models → Medical imaging and segmentation
- Parse, Search, and Confirmation: Training-Free Aerial Vision-and-Dialog Navigation with Chain-of-Thought Reasoning and Structured Spatial MemoryLLM reasoning → Spatial and embodied reasoning
- SCOPE-RL: Optimizing Reasoning Paths Before and After SuccessLLM reasoning → Reinforcement learning for reasoning
- GEIS: A Generation-Evaluation-Improvement Loop of Agent Skills for Long-Form Article GenerationLLM agents and tool use → Web, search, and research agents
- See like a Robot: Robot-Centric Pointmaps for VLA ModelsLLM reasoning → Spatial and embodied reasoning +1
- Agentic Skill Optimization over Lie AlgebroidsLLM agents and tool use → Agent skill learning and evolution
- HyperSafe: Inference-Time Safety Recovery for Fine-Tuned Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- FAIR GraphRAG: A Retrieval-Augmented Generation Approach for Semantic Data AnalysisRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- UMoE:Unlocking Every Expert in Domain-Specific TrainingMixture-of-experts → MoE large language models
- Velocity Scheduled Flow MatchingDiffusion models → Flow matching, time series and science
- The Ebb and Flow of Multimodal Focus: Scheduling Visual Relay Windows for Grounded VLM ReasoningLLM reasoning → Multimodal reasoning +1
- ToFu: A White-Box, Token-Efficient Agent Harness for ResearchersLLM agents and tool use → Software engineering coding agents
- Cross-Architecture LLM Ensembles, Feature-Based Reranking and Retrieval-Augmented Prompting for Legal Information ProcessingRetrieval-augmented generation → Legal and financial RAG
- Agentic Routing: The Harness-Native Data FlywheelLLM agents and tool use → General LLM agent frameworks and benchmarks
- TerraRepair: A Tool-Grounded LLM Agent for Infrastructure-as-Code RepairLLM agents and tool use → Software engineering coding agents
- StructAgent: Harness Long-horizon Digital Agents with Unified Causal StructureMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- OpsMem: Dual-Memory Reasoning with Cross-Memory Resonance for Failure DiagnosisLLM reasoning → Reasoning for agents, planning and code
- Compile, Then Page: Executable SOP Programs and a Capability-Gated Runtime for Procedural LLM AgentsLLM agents and tool use → Software engineering coding agents
- Calibrated e-CUSUM Decoding for Quantized Reasoning Models: Why Token Log-Probability Is the Wrong Observable for Decoding MonitorsLLM reasoning → Test-time compute and efficient thinking
- FlowArk: Boosting Agentic Data-flow Analysis for Android Apps via Context-Aware Knowledge ReuseLLM agents and tool use → Software engineering coding agents
- Efficient Test-Time Optimization for Multi-Agent Proof AutoformalizationLLM reasoning → Mathematical reasoning
- Mako: A Self-Evolving Agentic Operating System (SE-AOS) for Autonomous Web ExploitationLLM agents and tool use → Agent threats, guardrails and governance
- Automated Textbook Auditing with Multi-Agent LLM SystemsLLM agents and tool use → Web, search, and research agents
- Towards Predictive, Aligned, and Scalable Robot LearningWorld models → Embodied and robot world models
- Enhancing LLMs through human feedback: a journey towards self-improvementRetrieval-augmented generation → RAG pipeline design and evaluation +1
- Valid ne Necessary: Diagnosing Latent Inefficiency in Chain-of-ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
- TreeThink: A Modular Tree Search Library for Mathematical Reasoning with LLMsLLM reasoning → Mathematical reasoning
- Multi-Agent LLMs Fail to Explore Each OtherLLM agents and tool use → General LLM agent frameworks and benchmarks
- DeepBias: Adaptive In-depth Probing of Social Biases in LVLMsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Heterogeneous Agent Cohorts for Safe Open-Ended Exploration with Runtime Constraint MemoryLLM agents and tool use → Agent threats, guardrails and governance
- HandFlow: Fully Generative 4D Hand Recovery with Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- ProgramTab: Boosting Table Reasoning of LLMs via Programmatic ParadigmLLM reasoning → Knowledge- and tool-augmented reasoning
- Slot-RAE: Streamlining Object-Centric Learning via Direct Representation Auto-EncodersDiffusion models → Image generation, text-to-image and editing
- SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RLLLM agents and tool use → GUI and mobile agents
- The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to AutonomyMultimodal LLMs / vision-language models → Medical vision-language models +2
All 429
- When Depth Is Better Told Than Shown: Depth-Ordinal Prompting for Vision-Language Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- NGM-RAG: Neural Graph Matching based Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- AMT-X: Phase-Structured Multi-Turn Red-Teaming with Checklist-Gated EvaluationLLM safety and security → Prompt injection and agent security
- The Hidden Footprint: Making Storage a First-Class Metric for LLM Agent EvaluationLLM agents and tool use → Agent memory systems
- Anysynth:Zero-Shot Instrument Cloning via In-Context Learning and Asymmetric Hierarchical GuidanceDiffusion models → Audio, speech and music
- NextFund: A Unified Performance Tracking Platform for Agentic Portfolio ManagementLLM agents and tool use → Financial trading and forecasting agents
- A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy DiscoveryLLM agents and tool use → General LLM agent frameworks and benchmarks
- TIGER: Text-Conditioned Visual Gated Routing with Acceptance Alignment for Multimodal Speculative DecodingEfficient LLM inference and serving → Fast autoregressive visual generation
- ToolAtlas: Learning Once, Reusing Everywhere with Tool-Side MemoryLLM agents and tool use → Tool learning and function calling
- VIA: Visual Interface Agent for Robot ControlVision-language-action models → Generalist VLA models and benchmarks +1
- MusicMark: A Robust Generative Watermarking Framework for Music GenerationLLM safety and security → Watermarking generated content and models
- Know Before Fix: QA-Driven Repository Knowledge Acquisition for Software Issue ResolutionLLM agents and tool use → Software engineering coding agents
- Beyond the Eye: Efficient Multimodal Reasoning via Self-Regulated Implicit Visual ToolsLLM reasoning → Multimodal reasoning +1
- FlowPET: Physics-Informed Symplectic Flow Matching for Low-Count PET ReconstructionDiffusion models → Medical imaging and segmentation
- AgentCheck: A Reproduce-Intervene-Mitigate Workbench for LLM Agents over MCPLLM agents and tool use → Software engineering coding agents
- OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal StoppingLLM reasoning → Test-time compute and efficient thinking
- Rethinking MCP Security: A Large-Scale Study of Runtime MCP Servers and Security Scanner ReliabilityLLM agents and tool use → Agent threats, guardrails and governance
- NVAITC AI Scientist: A Governed End-to-End Research System -- A Hypertension GWAS Case StudyLLM agents and tool use → Medical and scientific domain agents
- Controlling Motion Transfer in Diffusion Transformers via Attention HeadsDiffusion models → Video generation
- MJ: Multi-turn LLM Jailbreaking via Decomposed Credit AssignmentLLM safety and security → Jailbreaking
- Retrieval-Oriented Code Representations in Agentic Bug LocalizationLLM agents and tool use → Software engineering coding agents
- RetroHolmes: When Semantic Plausibility Fails Retrospective Physical Process ReasoningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- BackendForge: Benchmarking Agentic End-to-End Code Generation with Backend ServicesLLM agents and tool use → Software engineering coding agents
- SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot ManipulationDiffusion models → Diffusion and flow policies for robotics +1
- Whole-Body Semantic-to-Actuation Grounding of Elephant-Inspired Soft-Trunk Motion via Lightweight Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- A Multi-Agent Framework for Zero-Dimensional Reduced-Order Model PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Think When It Matters: Conditional VLM Reasoning for Social Navigation with RL PoliciesLLM reasoning → Spatial and embodied reasoning
- TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video UnderstandingLLM reasoning → Multimodal reasoning +1
- [AAFLOW+] Stateful Operator Abstraction with Zero-Copy Distributed KV Cache Orchestration for Multi-Agent WorkflowsEfficient LLM inference and serving → Efficient reasoning and agent inference
- MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit CalibrationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- EquiFusion: Kinematics-Agnostic Human Motion Prediction via Equivariant Latent DiffusionDiffusion models → Video generation
- Real-Time Rulebook-Aware Nonlinear MPC for Autonomous Driving with Priority-Biased Tiered SlacksEnd-to-end autonomous driving → Reinforcement learning for driving
- SVR-R1: Bootstrapping Multi-modal Reasoning with Self-verification in Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- Learning Dynamic Neural Evidence Representations for Time-Adaptive Brain-Computer Interfaces
- NeuroECG: ECGFounder-Based Deep ECG Representation for EEG-Free Neurological Prognostication After Cardiac Arrest
- Relation Before Entity: Deferred Commitment in Language Model Factual Recall
- A Spectral Phase Admissibility Certificate for Complex Linear Maps
- Using Poly-Encoders for Computationally Efficient Automated Creativity Assessment
- aipsy-judge: A Specialized, Psychologist-Corrected Local Judge for the Psychological Safety of Conversational AI
- MCP-Driven Accessibility Tree Standardization for AI-Powered Screen Reader Agents
- Explaining Reinforcement Learning Decisions in Self-adaptive Systems
- Context Aware AI Assistant and AR Interface for Lunar Extravehicular Activity (EVA) Procedural Guidance
- A Forced-Structure Reduction and Verifiable Bounds for Conway's 99-Graph
- Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration
- From Evaluated Models to Evaluation Aids: A Multi-Evidence Study of LLM-Based Difficulty Calibration for Programming Examinations
- Explainable Machine Learning in Healthcare: Methods, Interpretation, and Applications for Clinical Research
- Imprompt: A Language Framework for Prompt Programming
- A Vocabulary for Multi-Agent Automated Research Systems
- SOAP, Muon, and Beyond: Pushing LLM Pretraining Scales
- Conflict Resolution under Degraded Surveillance in Air Corridors Using Multi-Agent Reinforcement Learning
- Disentangling Forced and Internal Climate Variability in Single Realizations using Dynamic Mode Decomposition with Control
- Revisiting Shape and Texture Reliance with Category-Separability-Calibrated Suppression
- On Hardware-Aware Design and Optimization of Edge Intelligence
- Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks
- Emergent Hierarchical Monosemantic Neurons from the Group-Contrastive Forward-Forward Algorithm
- SLT: Robust Quantum Neural Networks for Noisy-Label Medical Image Classification via Supermartingale-based Label Transition
- The Planar Case of Thomas Positive Circuits Conjecture
- Human AI Construction of Bayesian Networks for Operational Decision Support -- A Virtual Survey Approach
- Partial Identification with Multiple Nonlinear Measurements of a Latent Regressor
- Good Benchmarks
- RCWT: Measuring Task-Budget Displacement from Coordination Content in LLM Calls
- The Benjamini--Hochberg Procedure Can Fail to Control the FDR for Correlated Two-Sided Gaussian Tests
- RegHead: Non-Humanoid Head Blendshapes via Feed-Forward Registration
- What a Deletion Certificate Covers, and Where It Expires: Auditable Removal from a Support-Vector Memory
- A Threshold Exceedance Framework for CBRN Uplift Evaluation in Frontier Language Models
- Comparing Semantic Navigation in Humans and Large Language Models using Natural Language Processing
- Compos3D: Interactive Part-Based Composition for Creative Control in Generative 3D Models
- Overview of Cross-Component In-loop Filters in Video Coding Standards
- Entropy in Semantic Memory Navigation in Blind and Sighted Individuals: The Effect of Visual Experience
- TRAIL: A Platform for Configurable Human--AI Teaming Experiments
- The Emerging Paradigm of Geospatial Foundation Models: From Pre-Training to Agentic Reasoning
- HEDGE: A Calibrated Ensemble for A/H Recognition
- From Reconstruction to Interpretation: Zero-Setup Multi-Phase Segmentation of X-ray Tomography Data
- Decentralized Gradient Descent: Bottleneck Regimes and Budget Complexity
- We Hebben Een Serieus Translatie: Modeling Intercomprehension as Probabilistic Inference
- From Geometric Recovery to Causal Validation: A Reproducible Audit of Sparse Autoencoder Features, from Superposition Geometry to Causal Inertness
- Data Safety: Synthetic Data Quality Analysis Using CIFAKE Dataset
- Falsifying Causal Graphs With Outlier Events
- Generating Physically Plausible Parachute Dynamics with Deep Generative Modeling
- Causal Graphs, Markov Properties and Do-calculus for Stochastic Differential Equations
- Connected by Construction: Learning Tractable Near-Tour Marginals for Traveling Salesman Problems
- GaitSpan: Growing Humanoid Locomotion from Walking to Running
- Toward Trustworthy Autonomous Science: A Two-Year Community Roadmap
- ACZ-GSeg: Adaptive Concentric Zone-based Two-stage Ground Segmentation for LiDAR Point Clouds
- Robust In-Hand Manipulation via Priors in Reinforcement Learning and Mechanical Design
- Representing and Generating Levels Over Time through Playtrace Reconstructive Partitioning
- Dynamic Online Processor-Native Inference for State Estimation
- Sparse Autoencoders for Interpretable Out-of-Distribution Detection
- Causal Supervision of Attention for Affective Behaviour Analysis
- Graph Feedback Controls Consensus and Clique Formation in Open-Weight Language-Model Populations
- NEEDL-Bench: Dataset for Swiss Needle Cast and Stomata Detection in Microscopy Images
- Calibrated Selective Prediction Using Deep Ensembles for ROI-Based Thyroid Nodule Ultrasound Classification Under Dataset Shift: A Retrospective Evaluation
- Beyond Parallel Tracking: Interactive Multi-Feature Fusion Drives Semantic Reconstruction from Non-invasive Brain Recordings
- Institutional Equity Holdings Prediction Using Node Affinities of Dynamic Graphs
- Enabling 24-hour Agricultural Robotics: Unsupervised Day-to-Night Cross-Modal Image Translation for Nighttime Visual Navigation
- Learning from Complementary Ultrasound Representations for Liver Disease Classification
- Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification
- Representation and Reference Selection in Training-Free Synthetic Image Attribution
- An Empirical Analysis of Continual Learning for Heterogeneous Medical Visual Question Answering
- Learning the Graphical Nature of Symmetries
- MetaView: Monocular Novel View Synthesis with Scale-Aware Implicit Geometry Priors
- HPC-Enabled Video-based Coastal Wave Parameter Estimation Using V-JEPA and Deep Spatiotemporal Learning
- Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs
- Mitigating The Effect of Class Imbalance in Data with Hierarchical and Dependable Structure
- Sparse Inter-Layer Dependencies of Transformer FFN Neurons
- Anatomy-Privileged Distillation with Token Routing for MRI-Based Prediction of Perineural Invasion
- SpikeDS: Dual Sparsity Spikformer for Perineural Invasion Prediction in 3D MRI
- VQCSim: When Does Compile-Once Statevector Simulation Beat Generic Quantum Frameworks?
- Removable Defects: The Economics and Limits of Deliberate Deficiency
- Evaluating Nonuniform Dependability Across Response Conditions: A Conditional Generalizability Framework Illustrated in Automated Essay Scoring
- LP Mining with LP2Graph: A Use Case for Railway Rescheduling
- Gene Expression-Informed Jointly Controlled Generative Modeling for Precision Molecular Design
- Optimization Is Not All You Need
- LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention
- Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance
- Self-Evolving In-Context Learning for Direct Pilot-to-Beamformer Design in MU-MISO Systems
- Latent-Identity Tuning in Text-to-Image Personalization Models
- Metacognition in LLMs: Foundations, Progress, and Opportunities
- A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation
- A Durability and Cross-Language Transfer Benchmark for a Validated Teaching-Feedback Classification Protocol
- Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias
- Evidence-Backed Video Question Answering
- AdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification
- Input-Aware Dynamic Backdoor Attack Against Quantum Neural Networks
- LoRA-Based Cascaded Multimodal Fusion for Action Recognition in Medical Training Environments
- HASTE: A Platform for Rapid Post-Disaster Building Damage Assessment
- MicroCharNet: Less is More for License Plate Character Detection
- Transformer-Guided Swarm Intelligence for Frugal Neural Architecture Search
- Relaxing Faithfulness with Intervention-Only Causal Discovery
- Introducing Human-Centeredness in AI-Assisted Lexicography
- Encoder-Side Neuron Identification and Amplification for Acoustic Perception in Large Audio-Language Models
- StoryTeller: Training-Free Narrative Grounding for Long-Form Audio Description
- Forgetting Our Way to Shared Meaning: Effects of Forgetting on Conceptual Alignment in a Non-Partnership Coordination Game
- Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal
- From Expressivity to Sample Complexity: Narrow Teachers for Transformers via C-RASP
- Higher-Order Cell Tracking Transformer
- Paradoxes of Game Theoretic Equilibria and Price of Anarchy
- Playful AI in Professional Email: A Field Experiment on Tone and Recipient Engagement
- HiFi-LLP: High-Fidelity, Low-Cost Latency Predictors with Confidence for Robust HW-NAS
- NeuralActuator: Neural Actuation Modeling for Robot Dynamics and External Force Perception
- GFR-SAM: Training-Free Referring Camouflaged Object Segmentation via Cross-Image Prompting
- Time-Lag-Aware Deep Reinforcement Learning for Flexible Job-Shop Scheduling in PPVC Module Factories
- STEP: Career-Path Recommendation via Temporal and Educational Trajectory Modeling
- JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured Resumes
- CatRetriever: Contrastive Representation Learning for Slab-to-Bulk Retrieval in Generative Catalyst Discovery
- SVI360: Spherical Video Interpolation
- VoxENES 2026: Benchmarking Generalization of Speech Spoofing Detectors Against LLM-Era TTS and Voice Conversion
- Production and Perception in LLMs: A Token Probability Approach
- mathttQ2SAR: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning
- Self-Healing Visual Recovery for Autonomous Ground Vehicles Using Camera-Only Visual Odometry
- Diversified Multinomial Logit Contextual Bandits
- Illuminant-Adaptive 3D Lookup Tables for Camera Color Correction
- A multi-scale feature enhanced graph neural network for fluid dynamics prediction in complex geometries
- Losing My Composure: Predicting Compositionality Over Time
- How to Tame Grokking: Representation Geometry as a Control Signal
- Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts
- Bet on Features: Anytime-Valid and Feature-Aware Auditing of Conditional Quantile Forecasters
- Closing the Loop: An Access-Control Architecture for Automated, Anomaly-Driven Network Revocation in IoT Deployments
- Event-RGB Adaptive Tracking for Nighttime Highway Perception
- Motion4Motion: Motion Transfer Across Subjects at Inference
- Fundamental Limitations of Fixed-Budget Best-Arm Identification
- Reproducing human biases in route choice using large language models: Toward scalable behavioral modeling
- Markov Chain Monte Carlo with Diffusion Paths
- SKooP: Symmetric Koopman Predictions for Faster and More Generalizable Legged Robot Locomotion with Reinforcement Learning
- Backbone-Agnostic Stochastic Perturbation Learning for End-to-End Real-World Image Dehazing
- Extending LLM Context via Associative Recurrent Memory
- Auditing the Risk Claims of Distributional Reinforcement Learning
- Globally Consistent Coloring Schemes for Language Identification
- Privacy-Aware Collaborative and Distributed Bayesian Optimization
- Beyond Benchmarks: Exposing the Hidden Crisis in Bangla Hate Speech Detection
- MAGIC: Transition-Aware Generation of Navigable Multi-Scene Game Worlds with Large Language Models
- Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis
- FoundationGeo: Learning Spatial Pixel-Wise Fields for Monocular Metric Geometry
- Machine Learning-Based Reconstruction for Resistive Silicon Sensors
- GB-SVFBP: Gaussian-Based Shift-Variant FBP neural network
- Decoupled Structure-Feature Alignment via Alternating Optimization for Graph Learning
- MonkeyOCRv2: A Visual-Text Foundation Model for Document AI
- Technical Report on the CVPR 2026@AdvML Workshop Challenge
- Single-Teacher View Augmentation: Enhancing Knowledge Distillation with Student-Guided Perturbations
- Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions
- Training-Free Off-Screen Player Imputation for Broadcast-Based Spatial Football Analytics
- Condition-Stratified Robustness Analysis of Post-Hoc Calibration Methods for Probabilistic Classifiers
- Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
- Tropical Circuits with Scalar Multiplication Gates
- Learning Residual Kinematic Corrections for Continuous Neural Decoding via Reinforcement Learning
- AutoMatBench: An Automatic Optimization Toolkit for the Acceleration of Material Properties Prediction Benchmarking
- Vinci2: Providing Proactive Assistance in Continuous Egocentric Videos
- Dzongkha Next Word Prediction System
- Toward Inclusive Avatar Design with Limb Differences Through Artificial Intelligence
- DAG-FM: A Foundation Model for Causal Discovery under Heterogeneous Causal Mechanisms
- CFR-Net:Collaborative Feature Refinement Network for Medical Image Anomaly Detection
- CDFM: Towards a General-Purpose Causal Discovery Foundation Model
- Proxy OPD: On-Policy Distillation with Transferable Relative Proxy Update
- Comparative Analysis of GAT and BERT for Human-Like Playtesting
- HyperGS: Fast and Generalizable Gaussian Video Representation
- IG-GAN: A Generative Adversarial Network for Aerodynamic Data Generation Based on Intrinsic Geometry
- Enhancing Query Efficiency for d-DNNF Representations Through Preprocessing
- Compound Interference Recognition for LR-FHSS Satellite IoT Uplinks via Multi-Domain Instance Fusion
- LightMem-Ego: Your AI Memory for Everyday Life
- Communicating Chess Strategies in Natural Language
- Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
- Are LLMs ready for HardChoices?
- Climate-Invariant Conformal Prediction Intervals for Multi-Horizon Solar and Wind Forecasting
- A Multimodal Dataset for Large Language Model Applications in the Energy Domain
- Event-based Neural Decoding for Neuroprosthetic Motor Control
- Relational Positioning as a Measurable Risk Object: History-Carried Lock-in and Self-Confabulation in Multi-Turn Human-AI Dialogue
- Direct Image-to-Modern Vietnamese Translation of Han-Nom Manuscripts via Multimodal RLHF Preference Alignment
- Omni-Decision: Evidence-Ledger Planning for Omni-Modal Agents
- Generalizing Preference-based Reinforcement Learning: a Rationality Model for Incomparability
- Physics-Aware Conditional SetGAN for Spatially Consistent Multi-User TR 38.901 Channel Generation
- Video Transformer for Remote Identity Document Hologram Detection
- Confidently Wrong: Detecting Hallucinations in Financial Question Answering from LLM Internal States
- Uncertainty Quantification for EO Regression Tasks: Building Height, Tree Canopy Height and Above-ground Biomass Estimation
- Robust Subgroup Analysis for Heterogeneous Censored Data
- Diffusion MRI preprocessing affects ADC estimation and automatic PI-RADS v2.1 classification in bi-parametric prostate MRI
- A Glimpse into Long-term Physical Coexistence with Intelligent Robots
- Surprisingly Simple and Effective Multi-Domain Graph Foundation Model through Graph-to-Table Alignment
- Decomposing Runtime, Kernel, and Quantization Speedups via a Matched FP16 Intermediate: A Hardware-Conditioned Case Study on Four NVIDIA RTX A5000 GPUs
- Self-supervised training for high-resolution close-range multispectral remote sensing imagery
- BackgroundMellow: A Multi-Modal Cohesive Framework for Narrative-Driven Rich Cinematic Soundscape Generation
- Beyond Sally-Anne: Evaluating Theory of Mind in LLMs using Epistemic Schelling Points
- Efficient Tuning Before Low-Bit Post-Training Quantization for Stochastic Gradient Descent-optimized Models
- RefineEvo: Planning-Guided Heuristic Evolution with Bidirectional Experience
- Benchmarking Edge Inference Strategies for Deep Learning Models in Industrial Machine Vision
- Characterising AI Models for Cataloguing
- Inter-Stop Energy Prediction and Causal Driver Quantification for Dual-Source Trolleybuses via a Time-Aware Tabular Deep Learning Architecture
- Understanding the Impact of AI Code Assistants on Security API Usage: An Empirical Study
- Do Neural Networks Preserve Case Structure? Case-Based Decomposition, Interpretation, and Decision Consistency
- Learning to control switching nonlinear systems with Koopman operator regression
- Longitudinal Multi-View Breast Cancer Risk Prediction
- Fail-Aware and Explainable Test Oracle Prediction
- The In-Car Sign Language Corpus (ICSL): A Multi-Modal Resource for Constrained-Space Sign Language Recognition
- HierCAD: Hierarchical Text-to-CAD Design via Structure Alignment and Parameter Grounding
- AutoVSR: Automatic Visual-to-Symbolic Reasoning for Symbolic Expression Generation from Circuit Schematic
- Verifier-Guided Twelve-Tone Composition: A Generate-Verify-Repair Harness for Symbolic Music Generation
- PRISM Edit: One Vector for All Temporal Answers
- Programming Language Policy as an AI Literacy Equity Problem: A 15-Nation Comparative Analysis
- SLVMBench: Skill Learning from Video Memory
- SPARC-Net: A Spectral, Causality-Aware, and Hard-Constrained Physics-Informed Architecture for Stiff and Shock-Dominated Partial Differential Equations
- ASUMOT: Motion-Consistency-Based Asynchronous UAV Detection and Tracking with Event Cameras
- Metadata Supervised Imaging Representations for Modelling and Controlling Acquisition Variability
- The Paternalistic Filter: Epistemic Injustice and Differential Refusal in LLM-Mediated History Education for Marginalized Romanian Students
- Backpropagation as a Nilpotent Linear System
- A Unified Framework for Comprehensive Cardiac CT Segmentation and Phenotyping: Human-in-the-Loop Data Annotation, Vision Foundation Model Development, Multicenter Evaluation and Clinical Validation
- SalientGS: Unified SfM-to-3DGS with Importance-Guided MCMC Gaussian Allocation
- The Devil Is in the Leakage: A Disentangled Dual-Purification Framework for High-Fidelity Hairstyle Transfer
- FAD-SA-GRU: Enhancing Hate Speech Detection in Algerian Dialect Through Feature-Augmented Self-Attention GRU Networks
- Fixed-Protocol Amortized MPS Tomography with Conformalized Predictive Uncertainty
- Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
- Trustworthy synthetic data for campaign decision support: strategy simulation fidelity and the PolicySynth framework
- Bringing Back Rule Induction to Fluid Intelligence Research? An Initial Validation of the ARC-AGI Benchmark in Humans
- LaGuadia: Language-Guided Adaptive Distillation from Pathology Foundation Models
- A Nearable Soft Mat Based on Distributed Optical Fiber Sensing for Physiological Monitoring
- An Empirical Study for Android-to-OpenHarmony GUI Test Migration
- Structure-Detail Decoupled Autoregressive Generation for Fast and High-Fidelity Virtual Try-On
- Q-BridgeNet: A Quantization Network for Cross-Lingual Sign Language Translation
- A Novel Method to Evaluate Models on Unreliable, Noisy and Inconsistent Labels: Adaptive Resolution Label Aggregation (ARLA)
- When the Target Domain Changes: AI-Mediated Construct Drift in High-Stakes English Language AssessmenW
- PREF-Gate: Provenance-Constrained Relational Evidence Fusion with Validation-Gated Selection for Graph Fraud Detection
- FastTPS: An Optimized Method for LLM Token Phase for AI accelerators
- Parallax Portrait Matting
- DynEval: Holistic Evaluations of T2I Generative Models in the Wild
- What We Talk About When We Talk About LLM Planning: Evidence for Two Distinct Planning Abilities
- RepTran: Search-Based Repair of Transformer Models
- GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents
- Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results
- NeuroMem-FHP: A Likelihood-Free Deep Learning Framework for Parameter Estimation of Fractional Hawkes Process
- STAMP: Provenance-Guided Credit Assignment for Deep Search Agents
- TC-MAF: Train-Calibrated Bounded Multi-Evidence Fusion for Multimodal Industrial Anomaly Detection
- SISA-Rec: A Semantically Integrated Sequential Recommender with Contrastive Alignment
- Pix2Act: Image-Space Manipulation Policies with Equivariant Augmentation
- Query-Focused Event Summarization: A Dataset and Benchmark
- Unified Gradient Projection: Language-Balanced Continual Learning for Multilingual Low-Resource ASR
- Rank-Conditioned Sample Reuse for the Plackett--Luce Best-of-K Objective
- Learning Subgroup Relations Using Siamese Graph Neural Networks
- Comparison-Based Ordinal Learning for Proactive Driving Risk Assessment
- Do LLMs Fabricate Legal Citations? A Bilingual Benchmark on Saudi Data Protection Law and the GDPR
- BeatEdit: Symbolic Music Generation as Explicit Editing
- Implicit Neural Networks as Static Controllers: Certificates and Performance Separation
- Simple Features and Honest Calibration for Ambivalence and Hesitancy Recognition in Video
- GHOST: Geometry-Guided Hallucination of Opaque Surface Textures
- The Equilibrium Is the Initialization: Lazy Identity Collapse in Physics-Structured Deep Equilibrium Reasoning
- CA-DGCL: Dynamic Graph Continual Learning via Condensation and Attachment
- Neural Discovery of Memory and Nonlocal Kernels in Integro-Differential Equations with Constrained Kolmogorov--Arnold Networks
- Generative Chinese Statute Retrieval
- A Novel Graph Fraud Detector via Grouped Attribute Completion and Confidence-Aware Contrastive Learning
- Desc++: Efficient Descriptor Enhancement for Data Association in Existing Visual SLAM Systems
- Revisiting Matching Response and Swept Feature Volumes for Wide-baseline Omnidirectional Stereo
- Difference-Driven Gating: Adaptive Feature Fusion for U-Net Decoder
- When cheap gradients fail: the measurement cost of attacking quantum classifiers
- Multi-dimensional training-priority weighting based on physical information propagation paths: a unified residual-weighting framework for physics-informed neural networks
- Adapting Evidential Neural Networks to Test-Time Neighbor Fusion Improves Molecular Property Prediction
- Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising
- CUST: Clustered Unit-level Similarity Transformer for Lightweight Image Super-Resolution
- Are LLMs Ready for Scientific Discovery? A Capability-Oriented Benchmark for AI Scientists
- Do Video-LLMs Actually Watch? Diagnosing Character-Tracking Failures in Long-Form Video
- Link Adaptation Using Joint-Thompson Sampling
- ResearchQA: Benchmarking Citation-Grounded Question-Answering on Scientific Papers
- AeroMELD: A Linear Embedding of Aerosol Populations for Diagnostics and Latent Dynamics
- DDR-Net: Haze-Aware Dual-Domain Refinement for Single-Image Dehazing
- WiFi-JEPA: Self-supervised Learning for WiFi-CSI 3D Human Pose Estimation
- AdvNav: Behavior-Guided Black-Box Adversarial Attacks on Vision-Language Navigation
- Flout at Your Own Risk: LLMs Struggle with Pragmatic Cooperativity Under Epistemic Asymmetry
- Domain-Aware Scaling Laws Uncover Data Synergy
- FSFVE: Few Shot Compressed Face Video Enhancement
- Same Stories, Different Journeys: Exploring Persona-Grounded Conversational Agents for Supporting Career Exploration with Peers' Posts
- RTFVE: Realtime Face Video Enhancement
- MMRM: A Multiplex Multimodal Representation Model for Product Ranking in E-commerce Search
- Learning to Navigate with Minimal Parameters: Decomposing Visual Navigation Through Closed-Form Geometric Interfaces
- Dimensionality in Satisfaction Ratings
- Reference-Based Face Super-Resolution Using the Spatial Transformer
- When the Reward Suite Is Leaky: A Preregistered Causal Contrast of Natural Verifier False Positives in RLVR
- Can a Language Model Learn Facts Continually in Its Weights?
- QwenPaw-Data: Bridging Facts, Methodology, and Execution for Autonomous Enterprise Data Analytics
- Overcoming Fourier Locking in Quantum Data Re-uploading Classifiers via Spectral Homotopy
- EasyOPD: An Easy-to-use On-Policy Distillation Framework for Large Language Models
- SynCLIP: Synonym-Coherent Language-Image Pretraining for Robust Open-Vocabulary Dense Perception
- TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings
- Actor-Critic Learning for Extended Mean Field Control with Deterministic Policies
- Affordance-Based Manipulation Planning with Text Goals and Sim-to-Real Generalisation via Real-to-Sim Image Conversion
- Temporal Feature Distillation for Label-Efficient Precise Event Spotting in Sports Videos
- AsySplat: Efficient Asymmetric 3D Gaussian Splatting for Long-Sequence Scene Modeling
- Confidence Scores in Open-Vocabulary Detection Are a Biased Mixture of Scale and Semantics
- LoSA-Net: A Localized and Scale-Adaptive Network for Boundary-Sensitive Prediction of Perineural Invasion in 3D MRI
- MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI
- From Checker to Forecaster: Code-Owned Evaluation of Model-Generated Strategic Routes Under Delayed Ground Truth
- Enhanced Byzantine-Robust Federated Learning Via Truncated-Quadratic Loss for Heterogeneous Data
- CGS: Configurable Graph Summarization with Bounded Neighborhood Loss and Query Support
- Efficient Online Proportional Sampling with Applications to Smoothed Online Learning