Papers
Thu 23 Jul 2026
390 papers
- Recognition, Simulation, and Refusal: A Contamination-Aware Study of Classic Psychological Effects in LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Beyond Static RAG: An Adaptive, Tri-Metric Routing Framework for Efficient Long-Context Inference on Commodity GPUsRetrieval-augmented generation → RAG pipeline design and evaluation +1
- World models of environment, agent and joint agent-environment systemsWorld models → World models for language agents +1
- AdaKP: Online Adaptive Knowledge-Point Selection for Reasoning-Oriented Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- Spectral Dynamics of Semantic Drift in Clinical Multi-Agent Language Model NetworksLLM agents and tool use → Medical and scientific domain agents
- LeAct: Learning to Reason from Expert ActionsLLM reasoning → Test-time compute and efficient thinking
- ToolGuardian: Declarative Security for AI Agent-Tool InteractionsLLM agents and tool use → Agent threats, guardrails and governance
- How Do AI Coding Agents Contribute to Software Development? an Empirical Study of Agentic Pull RequestsLLM agents and tool use → Software engineering coding agents
- Protocol-Level Attacks on Agentic Commerce Platforms: A Cross-Platform Taxonomy, AIP-Bench, and Unified DefenseLLM agents and tool use → Agent threats, guardrails and governance
- Adversarial Prompts for Acceptance Collapse in Speculative DecodingEfficient LLM inference and serving → Speculative decoding +1
- Agentic Evaluation of Copyright Law ComplianceLLM agents and tool use → Social simulation and multi-agent debate
- QLPO: Quadrant-weighted Sampling for Length-aware Policy OptimizationLLM reasoning → Test-time compute and efficient thinking
- Bespoke Visual Assistance: What and How do Blind and Low-Vision People Create with Agentic Programming?LLM agents and tool use → GUI and mobile agents
- Co-design of LLM-based preference agents: participation may drive overtrustLLM agents and tool use → Social simulation and multi-agent debate +1
- What AI Red-Team Evaluations Can and Cannot ProveLLM safety and security → Prompt injection and agent security
- Addressing the Orchestration Gap in Generalist Robots via Physical AgencyVision-language-action models → Failure recovery and robustness
- Be Consistent! Enhancing Robust Visual Reasoning in LVLMs with Consistency ConstraintsLLM reasoning → Multimodal reasoning +1
- Learning What Matters: Supervising Global Context Pruning with Causal Evidence SetsKnowledge distillation → On-policy and self-distillation for LLMs
- Persistent Computational State: A Session-Centric Runtime for Generative World ModelsWorld models → Video-generation world models and simulators
- Encoding Invisible Causation for Bridge Diagnostic Agents: Triple-Guided Retrieval-Augmented Fine-Tuning with QLoRARetrieval-augmented generation → Agentic RAG, agents and memory +1
- Output Format x Model Identity: Interaction Effects in Single-Round Coding Agent PerformanceLLM agents and tool use → Software engineering coding agents
- Pixels for Programs? A Cross-Provider Case Study of Input-Token Accounting for Source Code as Text and ImagesMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- 3D-Aware VLMs with Implicit and Explicit GeometriesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Streaming Multi-Agent Autoregressive Diffusion Model with World State RegistersWorld models → Video-generation world models and simulators +1
- Inference-Time Scaling of Diffusion Models via Progressive Seed PruningLLM reasoning → Diffusion reasoning and test-time scaling +1
- Beyond Sycophancy: Structured Resistance and Compliance in LLM Moral ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Visual Contrastive Self-DistillationKnowledge distillation → Multimodal distillation
- SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video GenerationDiffusion models → Video generation
- MIRROR: Learning from the Other View for Multi-Modal ReasoningLLM reasoning → Multimodal reasoning +1
- X3-OPD: Distilling Reasoning into Large Audio-Language Models via On-Policy AlignmentLLM reasoning → Audio-language model reasoning +1
- Windowed-MTP: Removing the Full-Context Draft-KV Tax at Million-Token ContextEfficient LLM inference and serving → Speculative decoding
- ElasticTTT: Prior-Preserving Test-Time Tuning for Video EditingDiffusion models → Video generation
- GS-Agent: Creating 4D Physical Worlds With Generative SimulationLLM agents and tool use → Multimodal and embodied agents
- Diffusion Language Model for RecommendationDiffusion models → Diffusion recommenders
- Same Dangerous Objective, Opposite Advice: Direct Exposure versus Multi-Agent MediationLLM agents and tool use → Agent threats, guardrails and governance
- Texture++: Elevating 3D Asset Texture Resolution with a Region-Aware Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture ProblemsLLM agents and tool use → Agent memory systems
- Toward Generalizable Cognitive Impairment Detection with Speech-Based Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Compact Latent Coordination for Autonomous Vehicles at Unsignalized IntersectionsEnd-to-end autonomous driving → Cooperative and V2X driving +1
- Agentic coding without the cloud: evaluating open-weight large language models on longitudinal data preparation tasksLLM agents and tool use → Web, search, and research agents
- Thinkink: 2D Spatial Ink-native Interaction with LLMsLLM reasoning → Multimodal reasoning
- AREX: Towards a Recursively Self-Improving Agent for Deep ResearchLLM agents and tool use → Web, search, and research agents +1
- Test-Time Scaling via Error LocalizationLLM reasoning → Test-time compute and efficient thinking
- KroQuant: Kronecker-Structured Block Transforms for Efficient Post-Training Quantization of Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Token Budget Saturation and Mechanistic Early Detection of Reasoning Non-Convergence in Chain-of-Thought ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Context-weighted Discrete Flow MatchingDiffusion models → Flow matching, time series and science
- PATS: Policy-Aware Training Scaffolding for Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Euclid-MCP: A Model Context Protocol Server for Deterministic Logical Reasoning via PrologLLM reasoning → Reasoning benchmarks and evaluation +1
- A Diffusion-Model Subpopulation Digital Twin for Mobile Health Deployment: A Case Study on the HeartSteps InterventionDiffusion models → Diffusion foundations and sampling
- When Are Reasoning-Based Guardrails Not Efficient? ResponseGuard: A Fast Vision-Language Guard for Real-Time ModerationLLM reasoning → Reasoning for agents, planning and code +1
- Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score EntropyDiffusion models → Diffusion foundations and sampling
- FedAgentKE: Federated Semantic Knowledge Evolution for Heterogeneous AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Emergent Misalignment Recruits a Pre-existing Persona SubspaceLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Gradient Concentration, Not Weight Saliency, Explains Representation-Level Class UnlearningLLM safety and security → Machine unlearning
- SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning
- SlerpFlow: Spherical Trajectory Correction for Rectified Flow InversionDiffusion models → Image generation, text-to-image and editing
- GRADRAG: Cross-Component Prompt Adaptation for Coordinated Multi-Agent RAGRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Expert Behavior Prior Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM UnlearningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMsLLM reasoning → Test-time compute and efficient thinking
- The Dark Room in the Reward Channel: Dense Prediction Rewards Collapse GRPO-Trained LLM Agents -- and The Channel, Not the Content, Decides What WorksLLM reasoning → Reinforcement learning for reasoning +1
- pAI-Econ-claude: A Gated Human-in-the-Loop Multi-Agent Architecture for AI-Assisted Economic Theory DevelopmentLLM agents and tool use → Financial trading and forecasting agents
- Progressive Cramming: Reliable Token Compression and What It RevealsEfficient LLM inference and serving → Visual token pruning in multimodal models
- ICAE-Bench: Evaluating Coding Agents as Interactive Project BuildersLLM agents and tool use → Software engineering coding agents
- Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and ForecastingDiffusion models → Flow matching, time series and science
- Differentiable Logic Programming to Mitigate Reasoning Shortcuts in Neurosymbolic SystemsLLM reasoning → Reasoning benchmarks and evaluation
- Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive ApplicationsLLM safety and security → Safety alignment, refusal and guardrails
- Out of Sight, Still in Mind: Token Compression for Omni-LLMsEfficient LLM inference and serving → Audio and omni-modal token compression
- Decoupling Cross-Modality Manifold Discrepancy: Leveraging Visible Diffusion Priors for Infrared Super-ResolutionDiffusion models → Inverse problems and image restoration
- CRAG-MM-Diagnostics: Enabling Stage-Wise Analysis of Knowledge-Intensive VQAMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- V-DEAL: Diagnosing Video Safety De-Calibration as an Understanding-Refusal Coupling FailureLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Deep Reinforcement Learning for Adaptive Gain Tuning in Control of Teleoperation Manipulators with Joint Flexibility and Time-Varying DelaysDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Approximate Quantum State Preparation Through Proximal Policy OptimizationDeep reinforcement learning methods → Quantum reinforcement learning
- Relative Value LearningDeep reinforcement learning methods → RL theory and sample complexity
- TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms +1
- AttriMem: Attribution-Guided Process Feedback for Agent Memory ConstructionLLM agents and tool use → Agent memory systems
- HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Geo3R: Mitigating Spatial Reasoning Hallucination in Multimodal Large Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- C-PTQ: Fisher-weighted Channel-wise Sensitivity for Post-training Quantization of MLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- PrefReward: Learning User Preference Matrix for Personalized Text GenerationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Do Pathology Vision-Language Models Truly See Pathology?Multimodal LLMs / vision-language models → Medical vision-language models
- GuidedAttention: Interpretable and Correctable Visual Attention for OOD-Robust Robot Manipulation via Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Faster IndexTTS-2: Accelerating and Streaming Autoregressive Zero-Shot Text-to-Speech Synthesis on GPUsDiffusion models → Audio, speech and music
- GeoThreat: Transferable Targeted Adversarial Attacks on Large Vision-Language Models for Remote Sensing Image InterpretationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- ProCap: Prominence-guided Object Rectification for Faithful and Comprehensive Video CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent SpecializationLLM reasoning → Audio-language model reasoning +3
- Naju: A Native Discrete State-Space Model with Independent Retention and Writing for Long-Sequence MemoryState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Workflow-Localized Mechanism Learning: Attribution-Guided Repair and Knowledge Reuse for Structured Agent SkillsLLM agents and tool use → Agent skill learning and evolution
- Sparse Concept Channels in Frozen 3D CT Vision EncodersMultimodal LLMs / vision-language models → Medical vision-language models
- HyWorldVLA: A Vision-Language-Action Model with Hybrid World Modeling for Autonomous DrivingWorld models → World models for autonomous driving +2
- GuardianAgentBench: Where Agents Fail and How to Guard ThemLLM agents and tool use → Agent threats, guardrails and governance
- Beyond Independent Optimization: Compression, MoE Routing, and Quantization Interactions in Multimodal Edge IntelligenceMixture-of-experts → Multimodal MoE models +1
- Deep Reinforcement-Learning-Guided Model Predictive Control for Preventing Overtakes in Autonomous RacingDeep reinforcement learning methods → RL for autonomous driving and traffic
- Delivery, Not Storage: Cue-Anchored Working Memory as a Harness Property for Coding AgentsLLM agents and tool use → Agent memory systems
- From Scalars to Time Series: Rethinking Implicit Neural Representations for Time-Varying Volumetric DataMixture-of-experts → MoE for time series and graphs
- The Weight of Silence: A Causal Case for Weights Over the Scratchpad in Latent Chess ReasoningLLM reasoning → Test-time compute and efficient thinking
- Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and AttentionDiffusion models → Video generation
- Chemical Chain-of-Thought Functions as a Hallucination-Prone Molecular ScratchpadLLM reasoning → Clinical and biomedical applications
- SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information IntegrationLLM agents and tool use → Web, search, and research agents
- MagicMakeup: A Region-Controllable Diffusion Transformer for High-Fidelity Makeup-TransferDiffusion models → Image generation, text-to-image and editing
All 390
- Source-Prior-Driven Selective Adaptation for Efficient Diffusion Model FinetuningDiffusion models → Diffusion foundations and sampling
- Tencent WorkBuddy Bench: A Multi-Domain Coding-Agent Benchmark with Contamination-Resistant Task ConstructionLLM agents and tool use → Software engineering coding agents
- RadioTrace: Transmitter-Aware Diffusion for Radio Map Estimation without Deployment-Time Fine-TuningDiffusion models → Diffusion for compression and wireless
- Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel GenerationLLM reasoning → Reinforcement learning for reasoning
- Learning to recover: Adaptive local branching with reinforcement learning for log-truck routing and scheduling under disruptionsDeep reinforcement learning methods → RL for autonomous driving and traffic
- Is Deep Research Reliable? Misleading Knowledge Induces False ConclusionsLLM agents and tool use → Web, search, and research agents
- ViSTR-Bench: Can MLLMs Reason from Continuous Visual Cues in Dynamic Scenes?LLM reasoning → Spatial and embodied reasoning +1
- Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout GenerationLLM agents and tool use → Multimodal and embodied agents
- Code Monitor Red Teaming for Public-Test-Passing CodeLLM safety and security → Prompt injection and agent security
- Offline RL with Hierarchical Action ChunkingOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- REFACT: Adaptive Fact Restatement for Compact and Faithful Chain-of-Thought ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Auditing Provenance Sensitivity in LLM Agent Action SelectionLLM agents and tool use → Agent threats, guardrails and governance
- Robust Asynchronous Q-Learning under Reward and State Corruption via BatchingDeep reinforcement learning methods → RL theory and sample complexity
- The Geometry of Personality: Activation Steering with Jungian Cognitive FunctionsMechanistic interpretability → Activation steering methods
- TatBLiMP: A Benchmark of Linguistic Minimal Pairs for Tatar
- Recursive Language Models Generalize Out of Domain
- Reviser: Writing and Editing Text with Autoregressive Cursor Actions
- Support Thresholds, Not Algorithms, Limit Rare-Association Recovery in Co-Purchase Networks
- Fine-Tuning Models for Biomedical Relation Extraction
- LEO Satellite Internet of Things: Architecture, Technology, and On-Orbit Verification
- Benchmarking Large Language Models for Biomedical Relation Extraction
- A Lifecycle Cost Analysis of Smart-Contract-Coordinated Federated Learning Marketplaces
- CriticGen: Generation-Aware Evaluation as Actionable Feedback
- Distributional Validity of a Korean Synthetic Persona Panel: Evidence From the Korea Media Panel Survey
- STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case Study
- DRL: A Deterministic Relational Middleware Layer for Transaction-Safe Enterprise NL2SQL Under Schema-Graph Scaling
- Optimizing Energy Efficiency and Grid Stability via Public EV Charging Flexibility
- Transit Destination Inference from Tap-In-Only Bus Smart-Card Data: A Hierarchical Bayesian Approach
- A Multi-Cohort Validation of Censoring-Aware Conformal Lower Predictive Bounds for Pathology Survival Models
- Trustworthiness Costs of Domain Adaptation in Small Language Models:A Cross-Architecture Empirical Study
- Cross-Cohort Spectral-Temporal Dissociation in Frozen EEG Foundation-Model Representations
- Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models
- An Integrated Deep Learning and Statistical Framework for Whole-Network Gene--Environment Association with Leaf Vascular Architecture
- TLRNet: Estimating Individual Treatment Effect based on Local Information and Single Learner Structure
- DRC-Aid: Design-Rule Correction via Agentic Framework utilizing Inference-Time Large Language Models
- Benchmarking LLMs for Verilog Design Flows
- Hierarchical Grading in Large Language Models
- pyALDIC: A Python Implementation of Augmented Lagrangian Digital Image Correlation with a GUI, Adaptive Meshing, and Mask-Aware Subset Splitting
- Real-time Reconstruction of Human Visual Perception from fMRI
- Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment
- Commitment To Cooperation With Self-Negotiated Contracts
- Post-Operative Glioma Segmentation via Loss Stabilization, Normalization and Subspace Attention
- Learning to Access Computation: Accessibility Plasticity as a Principle of Adaptive Intelligence
- Advancing All-Weather Building Damage Mapping to the Instance Level: Outcomes and Insights from the 2026 Bright Challenge
- AI-generated Images Challenge Visual Trust in High-risk Scenarios
- QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation
- When Is a Learned Command Adapter Worth It? Closed-Loop Identification and Counterfactual Auditing of Frozen Locomotion Policies
- Scaling Laws for Classical Machine Learning on Tabular Data: A Benchmark Study
- Data Quality over Capacity: Internalizing Documents into LoRA Adapters for Closed-Book QA
- EviDAG: Auditable Causal DAG Authoring with Biomedical Literature
- Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression
- SCALE: Self-Supervised Constraint-Aware Layout GEneration for Local P&R DRV Fixing at Advanced Nodes
- Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering
- Distributional Determinantal Point Process for Repulsive Clustering of Distributions
- Simulation-Based Empirical Bayes
- Quantifying Political Partisanship for Cross-Platform Analyses
- Toward High-Fidelity 3D Point-Cloud Learning for Brain Folding Morphology Prediction Using Trans-Unet
- Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification
- Reconstruction of Enhanced Causal Omnidirectional Network (RECON)
- A Graph-Based Control Interface for Traffic Signals on Heterogeneous Road Networks
- Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA
- Probing Speaker Identity Sensitivity in Audio Deepfake Detectors
- Longitudinal Random Forests for Sparse and Irregular Response Trajectories
- Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness
- Natural Invariant Measures for Chaotic Game Dynamics: Finding Order in Chaos
- A Dual Path Framework with Hotspot Guided Fusion for Three Dimensional CT to PET Synthesis in Head and Neck Cancer
- Relaxed activation analysis of dataflow networks - A clock calculus for machine learning and real-time scheduling
- What Happens to Accuracy When Photo Lineups Contain Non-Mated Rank-One Images From Large Galleries?
- Risk-Routed Implicit Boundary Refinement for Robust Ultrasound Image Segmentation
- From Seasonality to Semantics: Benchmarking a Hybrid Probabilistic Forecasting System for Roadblocks in Bolivia
- MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery
- Khondo: A Multimodal Benchmark for Document Packet Splitting of Bangla Forms
- Graph-Theoretic Neural Network Fragmentation with Covariant Direct Molecular Force Learning: Enabling Coupled-Cluster Accuracy AIMD for Fluxional Systems
- AI-Integrated Scientific Inquiry: A Practice-Centered Vision for Science Education
- Physiological Signals as a Forensic Modality for Talking-Face Deepfake Detection
- Probing Latent Colombian Identity Inferences in Qwen2.5-7B with Natural Language Autoencoders
- Smart predict-then-robustly-optimize
- Reliability-Aware Bayesian Optimization of 1310 nm PCSELs with FDTD Verification
- Every Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks
- Encoding orders and trees in real-valued functions
- Humanly: A Configurable and Traceable Environment for Human-AI Collaborative Writing
- Prompt as a Data Type: In-Database LLM Prompt Management and Rewriting
- Parameter-free Adaptive Sparse Attention via Compression-Based Content Selection
- Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery
- RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory
- Priors learned from legacy reconstructions inherit undetectable overconfidence
- A Defense of the Quadratic Model
- An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning
- Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On
- Explainable quantum-compressed machine learning for complex fluid flows
- Evaluation design conditions the expert-vs-auto MeSH gap: a controlled comparison of bag-of-words and BiomedBERT on the Cohen benchmark
- CARNet Cycle-Conditioned Core Aggregation and Redistribution for Multivariate Time Series Forecasting
- Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy
- Hash-QNeRF: Multiresolution Hash Encoding for Quantum Neural Radiance Fields
- Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration
- Neural Feature Governance: Extending Atom Prevalence
- Ordered Action Tokens for Visuomotor Policy Learning
- Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction
- Unified Video Dense Prediction from Disjoint Data
- Expanding Flow Maps
- Scale Up Strategically: Learning Compositional Generalization via Bias-Aware Evaluation and Data Collection for Robotic Manipulation
- GraphVid: Interactive Graph-Controllable Video Generation
- Barzilai-Borwein Fails Superlinear Convergence on an Open Set of Quadratics for Every Dimension n≥ 4
- Synthetic data generation framework for quality control automation in gravure printing
- Self-Supervised Learning of Structured Dynamics from Videos
- Surprisal Theory is Tautological (without Rational Grounding)
- Beyond Sufficiency: Time Series Explanation with Counterfactual Necessity
- MedGame: Storytelling Gamification Empowered by Large Language Models for Medical Education
- Scene Parameter Saliency via Differentiable Light Transport
- EnsembleEGNN: Set-Based Graph Learning for Thermodynamic Ensembles of Cyclic Peptides
- Unsupervised Consensus-Based Anomaly Detection for Spatiotemporal Malaria Incidence in Ghana
- OpenForgeRL: Train Harness-native Agents in Any Environment
- Neural solutions of coupled ghost and gluon Dyson--Schwinger equations in Landau gauge
- The Boundaries of Automation: A Theory of Persistent Human Participation
- UnDA: Unpaired Domain Alignment for Cross-Modal Knowledge Transfer in Medical Imaging
- Towards Robust Iris Recognition Through Occlusion Identification and Conditional Diffusion-Based Reconstruction
- Zero-Flow Two-Sample Tests
- Optimal use of a black-box learner in semiparametric estimation
- DONDO: Open w2v-BERT Speech-Recognition Base Models for African Languages
- From Resource Flow to Executable Tests: Petri-Net-Guided LLM Test Generation for Concurrent Stateful Rust APIs
- Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving
- Improved lower bounds for the Shannon capacity of odd cycles
- Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it
- Toward Continuous Assurance for the Democratization of AI Agent Creation in Industry
- What, Where, and How: Disentangling the Roles of Task, Language, and Model in Code Model Representations
- Recurrent Sinusoidal INRs for Efficient High-Fidelity Representation
- Finite-Sample Coverage Audits for High-Recall Candidate Generation: Certification and Learning-Theoretic Design
- Error Certificates for KV-Cache Eviction via Randomized Design
- Future Rendering neq Future Surface: A Benchmark and Dataset for Dynamic Surface Reconstruction Beyond the Observed Window
- CLUIE: Clustering-Aware Recurrent Propagation with Local Structural Compensation for Underwater Image Enhancement
- Detecting LLM-Generated Tokens in Human--LLM Coauthored Text
- SPDCN: Strip-based Deformable Convolutional Network for Steel Surface Defect Segmentation
- GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis
- RUMBA: Russian User Memory Benchmark
- When Trivia Is Not Trivial: Everyday Knowledge Failures in Multilingual LLMs
- Climate-resilient electric vehicle charging infrastructure for sustainable cities: An interpretable causal-ensemble framework for preventive maintenance and low-carbon mobility
- DAPM: UAV Monocular Depth Estimation from Any Height, Pitch, Roll and FOV
- Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment
- Adaptive Identity Anchoring: Closed-Loop Keyframe Placement for Synthetic Paired Supervision in Video Face Swapping
- Semantic-Aware Task Clustering for Constructive and Cooperative Multi-Tasking
- An Evaluation Framework for Structured Audio Captions Validated by Controlled Perturbations
- Learning and Structurally Validating Simulation Scenario Continuations in Dynamic Graph Systems
- Towards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach
- GLAM-SLAM: Real-time Gaussian Large-scale Mapping via Flow Densification and Spatial Decomposition
- Logical Regression for Planning with Axioms
- QSTAR: Quantum Selective Transfer with Adaptive Routing
- Cautious optimism for deep parameterized quantum circuits
- Cycle-Consistent and Uncertainty-Aware Neural Surrogates for Tokamak Edge Plasmas
- Anti-Periodic Positional Encoding: M"obius Boundary Conditions Make In-Context Retrieval Reliable
- MemTools: A Unified Research Framework for Interoperable Agent Memory
- MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamics Learning
- VoLN: Vision-Only Long-Horizon Navigation---Paradigm, Benchmark, and Method
- Word meaning co-determines vowel-inherent spectral change. A corpus-based investigation of conversational Mandarin
- Multimodal Pretraining for Generalizable EEG Representation Learning
- Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls
- DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation
- ASTRA-Net: Anatomy-Specific Transfer and Representation Alignment for Drug-Induced Sleep Endoscopy Segmentation
- Incremental Optimal Assignment for Real-Time Crowd Tracking
- Hilbert Operator for Progressive Encoding (HOPE): A Mathematical Framework for Deconstructing Learned Representations in Deep Networks
- SPORD: A Simulation-Propose-then-OR-Dispose Approach for Supply Chain Planning
- How Much Can a LoRA Adapter Memorize? Measuring Adapter Capacity in Bits
- Quality-Aware Multimodal Fusion Reveals Implicit Identity in Valence-Arousal Features
- Regulating autonomous and agentic AI
- M3-Gen: Interpretable Multimodal Generation of Gene Expression Profiles Using Clinical and Imaging Data
- Capital Markets LLM Reliability Score (CM-LRS): From Plausible to Bankable
- Phonetic forced alignment for low-resource language varieties: Model training and evaluation on Chengdu Mandarin
- From Static Bibliometrics to Dynamic Knowledge Graphs: An LLM-Powered Framework for Modernizing Science, Technology, and Innovation (STI) Analytics
- Cryptographically verifiable authorization for autonomous AI agents: a falsifiable hypothesis and proof of concept
- PC-Edit: Prompt-Contrastive Region Discovery and Region-Guided Editing
- Scaling Up Formal Representation of Clinical Trial Protocols in Ensemble Logic Using LLMs: A Preliminary Study
- AI Assistants Overassist
- An LLM-Driven Workflow for Automated Process Control Strategy Generation and Tuning from Dynamic Process Models
- Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning
- news-crawler-LM: A Small Long-Context Model For High-Quality News Crawling
- HGeo-TopoMap: Boosting Topological Mapping with Hierarchical Geometric Priors
- A Unified Moral-Value Dataset for Instruction Tuning
- A Comparative Evaluation of Embeddings and LLMs in a Greek Book Publisher Setting - The CUP Dataset
- Flash EQ-Linear: Accelerating Equivariant Linear Layers via Group-wise Discrete Fourier Transform
- BasketEvent: Understanding Who Did What and When in Basketball Videos
- Filter Learning for Subgraphs: Algebras and Performance Risk Bounds
- slang.gr as a Large-Scale Crowdsourced Resource for Non-Standard Greek
- Detectors Learn the Wrong Thing: Shortcut-Resistant Adversarial Training Against Physically Realizable Attacks
- Stokes-Informed Diffusion for Robust Linear Polarization Estimation
- Logic Programming Semantics for Causal Processes
- T-STAR: A Large-Scale Benchmark for Spatio-Temporal Panoptic Scene Graph Generation in Satellite Video
- DART: A Degradation-Aware Recurrent Transformer for Archival Film Restoration
- Learning-based Seam Correspondence Reconstruction in Sewing Patterns
- Explainable Belief Harmonization under Dynamic Epistemic Partitions
- Explainability Framework for Policy-Aware Autonomous Agents
- How Rules Represent Causal Knowledge: Causal Modeling with Probabilistic Logic Programming
- A New Well-Supported Semantics for Description Logic Programs
- Hybrid MKNF with Classical Negation in the Rule Component
- Bound-Founded Semantics for Answer Set Programming with Difference Constraints: Preliminary Report
- Towards a Certifying Grounder
- Declarative Problem Solving in UAM Strategic Deconfliction
- Case study: solving P-99 with LPTP and an LLM
- Chessdb: A framework for working with large chess game datasets
- Animation, Verification and Visualisation of Prolog Transition Systems with ProB
- Encoding Event-B Proof Rules in Prolog: An Interactive Sequent Prover for ProB
- Physics-Informed Deep Learning Model for Cross-Modality Super-Resolution in Fluorescence Microscopy
- Identifying Good Rules for Efficient SAT Encodings of Single-Constant Multiplication Using Machine Learning
- Case study: proving sqrt(2) irrational with LPTP and an LLM
- Do emulated quantum circuits change what CNNs look at? Performance and explainability comparison in medical image classification
- Explaining Weather Bulletins via ILP
- Representative Sets in Propositional Abduction
- Automated Synthesis and Adversarial Validation of Executable Causal Research Pipelines
- Agree on the Model, Verify the Inference: GKR Protocols for HND-Based Transformer Inference
- SafeStep: AI-powered Travel Assistance for Elderly People with Frailty or Dementia
- One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies
- DTIF: Robust Loop Closure Detection via Delaunay Triangle Topology in Complex Forests
- Safety-oriented sidewalk and road segmentation for smartphone-based assistive navigation
- Demographically-Informed Heat-Mortality Risk Curves via Risk Graph Neural Networks
- Hardware-Software Co-Design for Float16 On-Device Training on RISC-V Single-Core
- Causal-AgentIR: Self-Evolving Causal Memory for Adaptive Image Restoration Agents
- The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results
- GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes
- Can Generative Recommendation Reach Cold Items? A Temporal Perspective on Semantic-ID Generation
- Smooth Neural Point Processes via B-Splines
- A Polynomial Architecture-Attribution Co-Design Framework for Exact Aumann-Shapley Attribution in GNNs
- Training Large Language Models for Self-Explanation Faithfulness
- Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance
- CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data
- Automatic knot selection in smooth additive models
- Nipping the Butterfly Effect in the Bud: Self-Output Fine-Tuning for Autoregressive Weather Prediction
- The RealDefocus Benchmark for Defocus Deblurring
- VibeVoice-ASR-BitNet Technical Report
- Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers
- Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text
- TransBiolab: A Real-World Multi-View Dataset of Cluttered Transparent Biomedical Objects
- From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python
- Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification
- QuantiBias: Benchmarking Quantization-Induced Bias in LLMs
- MVEI & EmObserver: Empowering MLLM-Oriented Visual Emotional Intelligence via Emotion Statement Judgement
- Achieving Text-based Person Retrieval with Any Granularity
- Sample-Efficient Learning from Agent Experience
- HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark
- Regularized Optimization on Grassmann Manifold: Theory, Algorithm and Applications
- Spectral-Spatial Synergistic Guided Network for Hyperspectral Salient Object Detection
- GroupVideo: Multi-Identity Customized Text-to-Video Generation
- WAT3R: Feedforward Underwater 3D Reconstruction
- HiMe: Real-Time Self-Hosted Personal Agent Platform for Health Insights with Wearable Devices
- CultureTalk-ID: A Multi-Task Dialogue Benchmark for Cultural Commonsense in Indonesian Local Languages
- Reexamining zero-shot summarization: Empirical investigation of trustworthiness of LLM-summarizers
- Explainable Deepfake Detection Challenge
- Weight-norm Criticality: A Mechanism for Loss Spikes Induced by the Normalization and Weight Decay
- AUCH-Net: Action Unit-Based Consistency-Aware Hypergraph Network for Cross-Domain Few-Shot Facial Expression Recognition
- ADABORD: a novel AdaBoost approach for ordinal classification
- Where Animacy Lives in Large Language Models: Tracing the Circuits of the Animacy Concept
- Latent Variable-Mediated Cross-Learning for Few-Shot Acoustic Impedance Imaging
- Distribution-Alignment Bridge for Uncertainty-Aware Text-to-Video Retrieval
- Unsupervised Metal Artifact Reduction in Dental CBCT using Fine-tuned Cycle-Consistent Adversarial Networks
- FSB-Net: Frequency-Spatial Boundary Network for Brain Stroke Lesion Segmentation in Non-Contrast CT
- Best-of-Evidence: Best-of-N Selection under Partial Verification
- RECO: Region-Aware Compensation for Extrinsic Perturbations in Roadside 3D Detection
- From a Word-Level Dictionary to Sentence-Level Semantics: Multilingual Grievance Labelling with Contextual Models
- An Analytically Trained Variational Surrogate for Quantum Phase Estimation on NISQ Hardware
- Interaction Dynamics Modeling and Predictive Control for Safe Steerable Catheter--Tissue Interaction
- Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI
- Transformer-Assisted LLM-Based Source Code Summarisation: to Enable More Secure Software Development
- Representing Entity Importance in AI Knowledge Systems: A Dual-Signal Framework of Audience Evaluation and Structural Authority
- Scientific exploration, collaboration and labor division in the large language model era
- FA-LAM: Focus-Aware Large Avatar Model for One-Shot 4D Animatable Gaussian Head
- OPOD: On-Policy Omni Distillation
- Traceable Scholarship: Page Anchors and Ariadne's Thread for Humanistic Inquiry in the Age of Generative AI
- Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning
- Sidewalk Moments: Are Richer Representations Always More Human-Aligned? Evidence from City-Walk Videos
- Anti-Goal Reasoning: Rethinking the Theory of Goal Reasoning in Non-Axiomatic Logic
- DINO-VPT: Hierarchical Visual Prompt Tuning for Joint Physical-Digital Face Anti-Spoofing
- MAGE-Vein: Multi-Instance Age and Gender Estimation from Finger Vein Images
- HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology
- Information-Theoretically Secure Aggregation for Lightweight Federated Learning: Resilient to Dropouts and Adversaries
- Engine-Native Editable 3D World Reconstruction with Objects and Lighting
- TwistedMerge: Certified Higher-Order Diagnostics and Abstention for Model Merging
- WhereEdit: Mask-aware Local Latent Editing for One-Step Image Editing
- Webly Supervised Multi-Label Recognition: Evaluation Benchmark and Dual-Branch Multi-Label Contrastive Learning
- LegalCiteTrust: Benchmarking Citation Trustworthiness in Chinese Long-Form Legal Research Reports
- Machine Learning for Charge State Characterization of Isolated Double Quantum Dots
- Position Bias is Hidden Behind Ceiling Effects: A Permutation Diagnostic for LLM Benchmarks
- Probabilistic Residual Learning for Online Recommendations
- CSPF: A Constrained Shared-Private Fusion Method for Non-Verifiable Preference Evaluation
- Multilevel Graph Wavelet Compressed Sensing with Scale-Aware Neural Recovery
- Auditing Evidence Use in Medical LLM Diagnosis
- Beyond Heavy Log Curation: Perplexity-Based APT Detection via Unsupervised, Context-Augmented Language Models
- Efficient and Interpretable Body-Based Emotion Recognition with Lightweight Temporal Convolutional Networks
- Explainable graph attention network for stress recognition (StressGAT) via differential action units
- Self-Balancing Sequential Sampling: Fast Convergence with Controlled Predictability
- Enhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs
- SubSplat: High-Resolution Pixel-aligned 3DGS via Sub-pixel Gaussian Reparameterization
- New Complexity-Theoretic Frontiers of Tractability for Neural Network Training
- Profiling Lightweight Large Language Models