Papers
Wed 12 Aug 2026
423 papers
- Reducing Hallucinations in Large Language Models Through Integrated Self-Verification and Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Same Chart, Different Story: Bias in Vision-Language Chart InterpretationMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Unread or Unenforced? Separating Representation from Enforcement Failure in Content GuardsLLM safety and security → Safety alignment, refusal and guardrails
- Refusing Everything Looks Safe: Restoring the Benign Arm to Encoded-Prompt EvaluationLLM safety and security → Safety alignment, refusal and guardrails
- The Uncontrolled Variable: Vision-Language Model Refusal Responds to Image Presence in Ways Risk Cannot ExplainMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- AdaMem: Adaptive Memory Token Allocation for Soft Compression in Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- TreeSpark: Calibrated, Load-Adaptive Draft Trees for Semi-Autoregressive Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Diagnosing Faults in Reinforcement Learning Simulators and World Models with Canonical Polynomial InvariantsWorld models → Latent dynamics models and model-based RL +1
- ARC-Bench: Closed-Loop Replanning Masks Broken Action Ranking in Frozen JEPA World ModelsWorld models → Latent predictive world models
- From Extraction to Governed Memory: Multi-Agent Knowledge Graph Construction with Domain-Expert ReviewLLM agents and tool use → Web, search, and research agents
- Mitigating Bias in Large Vision-Language Models via Counterfactual Ensemble DecodingMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- RiskWorld: Object-Centric Latent World Modeling for Autonomous Driving Risk IdentificationWorld models → World models for autonomous driving +1
- Tail-Aware Top-k On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- AeroGround: A Comprehensive Benchmark for Aerial-Ground Collaborative ReasoningLLM reasoning → Spatial and embodied reasoning +1
- VideoGAIA: A Benchmark for General AI Assistants on Agentic Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- VoiceDesigner: Text-to-Voice Generation and Editing via Unified Diffusion Modeling and Data AugmentationDiffusion models → Audio, speech and music
- SteerBench-Work: A Benchmark for Agent Steering at Action BoundariesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Excess Separability: Nuisance-Controlled Residual-Stream Probing for Benchmark Contamination DetectionLLM safety and security → Backdoor and data poisoning attacks
- Jagged Judges: Epistemic Stability Under Perturbation, Pressure, and PersistenceLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- EgoCITE: Context-Augmented Indexing and Time-Aware Retrieval for Long-Horizon Egocentric MemoryLLM agents and tool use → Multimodal and embodied agents
- LLMs Are Not Good Strategists, Yet Memory-Enhanced Agency Boosts ReasoningLLM reasoning → Reasoning for agents, planning and code
- When Explanations Betray Backdoors: Black-Box Auditing for Language Model ClassifiersLLM safety and security → Backdoor and data poisoning attacks
- PseudoMapLabeler: Confidence-Aware Pseudo-Label Generation for Semi-Supervised Online MappingKnowledge distillation → Distillation for medical imaging
- Reasoning Jury: Multi-Model Consensus for Evaluating Reasoning TracesLLM reasoning → Test-time compute and efficient thinking
- Scaling Automatic Research Agents via World ModelsWorld models → World models for language agents +1
- Do LLMs Beat Nash? Testing Decentralized Coordination in Self-Play Multi-Agent GamesLLM agents and tool use → Social simulation and multi-agent debate
- MASCOT: Model-Aware Submodular Coverage for Composite-Attribute Text-to-Image RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Can Vision-Language Models Assess Proxemic Risk from Egocentric Robot Images?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DIVE: Unlocking Self-Improvement in Frozen Language Models Through Diversity-Driven Skill EvolutionSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Governed Persistent Memory: Source-Bound State Semantics and Fail-Closed Release for Long-Horizon AgentsLLM agents and tool use → Agent memory systems
- SSPO: Structure-Aware Similarity-Weighted Preference Optimization for Neural Combinatorial OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Specification-first convergence with an AI coding agent: a case study of dismantling a core architectural invariant across 189 files in a 717k-line codebase with no test oracle and no human code reviewLLM agents and tool use → Software engineering coding agents
- SynWeaver: Website-Prior Task and Trajectory Co-Synthesis for Web AgentsLLM agents and tool use → Web, search, and research agents
- LoKiFormer: Locality-aware Attention with Decoupled Knowledge Memory for Efficient Large Language Model PretrainingMixture-of-experts → MoE large language models
- AVA-Encoder: Towards Agent-Native Video Representation LearningLLM agents and tool use → Multimodal and embodied agents
- The Role Specialization Model (RSM): Coordinating LLM-Based Tools in Agentic Software Development - An Exploratory Case StudyLLM agents and tool use → Software engineering coding agents
- AI4AI at Test-Time: Strong-to-Weak Capability Transfer via HarnessesKnowledge distillation → On-policy and self-distillation for LLMs
- Redistribution-based Cost Inference Improves Sparse Safe Offline RLOffline RL and imitation learning from data → Safe offline RL
- Beyond Trial-and-Error: Agentic Optimization for Image-to-Video AdherenceLLM agents and tool use → Multimodal and embodied agents
- VAKRA: Evaluating Multi-Hop Reasoning Across APIs and Retrieval Under Tool-Use PoliciesLLM reasoning → Knowledge- and tool-augmented reasoning
- XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative ModelingDiffusion models → Flow matching, time series and science
- Convergent Detour Hijacking: Task-Preserving Resource Amplification in Skill-Based LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Diagram-MMU: A Multi-Modal Benchmark for Scientific DiagramsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- SelectLight: Learning to Select Signal Plans Generated by Distributed Model Predictive Control for Urban Traffic NetworksDeep reinforcement learning methods → RL for autonomous driving and traffic
- One Frozen Simulator Is Not Enough: Simulator Collapse in Multi-Agent RLLLM agents and tool use → Reinforcement learning for LLM agents
- Regime-Gated Residual Mixture-of-Experts for Cross-Sectional Volatility ForecastingMixture-of-experts → MoE for time series and graphs
- An Agentic Workflow for Legacy HPC Modernization: Converting the Two-Electron-Integral Core of GAMESSLLM agents and tool use → Medical and scientific domain agents
- SCOUT: Unlocking Enhanced Spatial Reasoning via Structured Chain-of-Thought and Multi-Objective Process RewardLLM reasoning → Spatial and embodied reasoning +1
- "Pharos Night: Crown Pursuit": An AI-Native Deck-Building and Tactical Arena Game Design Based on Multi-Agent SystemsLLM agents and tool use → Reinforcement learning for LLM agents
- Generation as Auxiliary Supervision: Enhancing Visual Understanding at Zero Inference Overhead via Decoupled Embedding PredictionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- GeoFlow: Efficient Driving Video Generation via Geometry-Aligned PriorsDiffusion models → Diffusion and flow policies for robotics
- Learning-Based Behavior Planning for Automated Driving: Real-World Integration and DeploymentEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- HSTGFormer: Hyper Spatial-Temporal Graph Transformer for 3D Human Pose EstimationLLM reasoning → Spatial and embodied reasoning
- Rethinking Agent Security as a Networking ProblemLLM agents and tool use → Agent threats, guardrails and governance
- Context Blindness in DPO: Mitigating Object Hallucination in MLLMs via Context-Calibrated Preference OptimizationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Understanding Why Foundation Models Work for Diffusion-Generated Image DetectionDiffusion models → Image generation, text-to-image and editing
- Who Thinks Best Depends on How Long You Let Them: Budget-Dependent Rankings in LLM EvaluationLLM reasoning → Test-time compute and efficient thinking
- MVFM-3DAD: Multi-view Flow Matching for 3D Anomaly Detection via Density Proxy EstimationDiffusion models → Flow matching, time series and science
- RoutePack: Expert Placement and Attention-Aware Data Packing for MoE Reinforcement LearningMixture-of-experts → MoE in reinforcement learning and robotics +1
- A corpus-specific clinical RAG system matches or outperforms newer frontier LLMs on HealthBenchRetrieval-augmented generation → Medical and biomedical RAG
- SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic HyperedgesLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Do LLMs Take Care of Their Own? Similarity Signals Can Induce CooperationLLM agents and tool use → Social simulation and multi-agent debate
- Ready Cohorts: Bounding GPU Opportunity and Avoiding Host Round Trips in LLM-Agent ControlLLM agents and tool use → Software engineering coding agents
- QV-PIC: Query-Aware Visual Position-Independent Caching for Efficient RAG ServingRetrieval-augmented generation → Generation and context integration
- No One to Blame: A Framework of Constitutive AI UnaccountabilityLLM agents and tool use → Agent threats, guardrails and governance
- RT-SEMamba: Real-Time Speech Enhancement Mamba via Progressive Knowledge DistillationState-space sequence models (S4, Mamba) → Speech and audio SSMs +1
- Look What the Probes Dragged In! Real-World Chest X-ray Shortcuts in MedCLIPMultimodal LLMs / vision-language models → Medical vision-language models
- Faithful, Sufficient and Understandable: Rethinking Graph Counterfactual Explanations via Discrete Diffusion InversionDiffusion models → Flow matching, time series and science
- Rethinking Language Model-Based Generative Speech Enhancement in the Latent Space of a Neural Audio CodecDiffusion models → Audio, speech and music
- Better Slots, Better Worlds: Representation Quality & Robustness in Object-Centric World ModelsWorld models → Latent predictive world models
- Learning Loco-Manipulation From SMPC Demonstrations With Sparse Offline-to-Online RLOffline RL and imitation learning from data → Real-world robot offline RL
- LoSA: Near-Lossless Sparse Attention for Training-Free Video Diffusion AccelerationDiffusion models → Video generation
- Claim-Level Reliability Assessment for Efficient Test-Time ReasoningLLM reasoning → Test-time compute and efficient thinking
- Learning from Unreachable Rewards: Hint-Conditioned Reinforcement Learning for Generative RecommendationDeep reinforcement learning methods → RL training of language and agent models
- Retry, Switch, or Abstain? Learning Strategy-Aware Tool-Use Policies via Controlled Error InjectionLLM agents and tool use → Tool learning and function calling
- LoongReflect: Boosting Long-Horizon Reflection in Search Agents via Global Perspective DistillationLLM agents and tool use → Agent memory systems
- Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience ReportLLM agents and tool use → Software engineering coding agents
- ExRole: From Team Trajectories to Executable Roles in Multi-Agent Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Evaluating and Calibrating Diffusion Model-derived Uncertainty for Quantitative MRI MappingDiffusion models → Medical imaging and segmentation
- LODESTAR: Robust Entropy-Based Answer Selection in Retrieval-Augmented Generation for Question Answering -- Directing Frozen-LLM Entropy with a Reinforcement-Learned Prompt Polarizer under Misleading PassagesRetrieval-augmented generation → RAG robustness and adaptive retrieval
- HarmoniDPO: Video-guided Audio Generation via Preference-Optimized DiffusionLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- A Model-Internal Protocol for Assessing Multimodal Models as Integrated SystemsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Policy-as-logic for robust reasoning over rulesLLM reasoning → Reasoning benchmarks and evaluation
- On-Policy Self-Distillation for Multi-Dialect ASR: Mastering Dialects, Retaining MandarinKnowledge distillation → Speech and audio distillation
- Agent Skills Can Be Harmful: An Empirical Study of Skill-Induced Failures in LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Total Recall at What Cost? Benchmarking the Serving Cost of Agentic Memory SystemsLLM agents and tool use → Agent memory systems
- ToolHazard: Scaling Adversarial Environments for Security Evaluation and Alignment of LLM-based AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- LookBack: Where and How to Score LVLM Responses via Visual Reference UsageMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- GeoBridge: Decoupled Semantic Conditioning for Generative Image GeolocalizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Towards Understanding On-Policy Distillation through the Lens of Test-Time ScalingLLM reasoning → Prompting and chain-of-thought reasoning +1
- How China-Origin Vision-Language Models Move from Refusal to Reframing in State AlignmentMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- CoDiR: Confidence-Guided Diffusion Refinement for Semi-Supervised Histopathology SegmentationDiffusion models → Medical imaging and segmentation
- MiDashengLM-Gen: Unified Audio Scene Generation via LLM-Driven Autoregressive Flow MatchingDiffusion models → Audio, speech and music
- Anti-Shortcut Distillation via Temporal Negative Knowledge TransferKnowledge distillation → Knowledge distillation for LLMs
- GRPO for Financial Advice Generation: Outperforming Commercial LLMs under CATE EvaluationLLM reasoning → Reasoning for agents, planning and code
- TradingMoE: Routing the Right Experts in Evolving MarketsMixture-of-experts → MoE for time series and graphs
- VOLA: Improving Open-World Driving by VLM-Based Semantic Attribute PredictionEnd-to-end autonomous driving → VLMs for autonomous driving
- The Sleeping Agent: What Gist-Based Context Compression Loses and WhyLLM agents and tool use → Agent memory systems +1
- Policy-Induced Hand Priors in Humanoid Dual-Arm Manipulation: Diagnosing and Mitigating Initial-Pose DependenceVision-language-action models → Human-video and latent-action pretraining
- AWARe: Mitigating Catastrophic Forgetting via Activation-Weighted Adaptive REtentionLLM reasoning → Multimodal reasoning +1
All 423
- MuseCritic: Learning Multi-Aspect Song Rewards through Natural-Language Aesthetic CritiquesLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Reinforcement Learning-Based Output Feedback LQR for Continuous-Time MIMO SystemsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Dual Modality Prompted Diffusion Priors for Zero Shot Hyperspectral PansharpeningDiffusion models → Inverse problems and image restoration
- Ripple-Pivot Search: Active Parallel Decoding for Diffusion Large Language ModelsEfficient LLM inference and serving → Diffusion LLM and MoE inference
- G0.5: One Autoregressive Stream for Robot Reasoning and ActionVision-language-action models → Reasoning and chain-of-thought in VLA +1
- Advancing MLLM-based UAV Image Understanding and Reasoning: A Benchmark and a Training-Free Multi-Agent SystemLLM reasoning → Spatial and embodied reasoning +2
- Phoenix TTS: High-Fidelity Synthesis and Voice Conversion via Flow-Matching-Driven Speech TokenizationDiffusion models → Audio, speech and music
- Fingerprinting Text-to-Image Diffusion Models via Collapsed GenerationDiffusion models → Robustness, privacy and adversarial aspects
- Harness-IF: Evaluating Instruction Following Across Instruction Surfaces in Coding AgentsLLM agents and tool use → Software engineering coding agents
- Chain-of-Thought Shows the Path to a Tree: Realizing Branching ComplexityLLM reasoning → Prompting and chain-of-thought reasoning
- Making Your LLMs More Objective: Stabilizing LLM Safety Behavior Across Traits with Trait-Invariant Safety TuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- STAR: A Spatial-Topology Aware Routing Framework for Generalizable 3D Scene UnderstandingMixture-of-experts → Vision mixture-of-experts
- REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy DistillationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning +1
- LEMUR: Latent Entropy-aware Multimodal Unlearning via Visual-anchored Reasoning RedirectionLLM reasoning → Reinforcement learning for reasoning +1
- APEX: Adaptive Expert Prefetching for Memory-Efficient Edge MoE InferenceMixture-of-experts → Efficient MoE training and inference systems
- FrontierFinance: A Challenging Benchmark for Measuring Frontier Intelligence of Finance AgentsLLM agents and tool use → Financial trading and forecasting agents
- AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly DetectionLLM agents and tool use → Software engineering coding agents
- XBridge: Entity-Grounded Latent Bridge for Heterogeneous LLM CommunicationLLM agents and tool use → General LLM agent frameworks and benchmarks
- GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMsLLM reasoning → Reinforcement learning for reasoning
- StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action ModelsVision-language-action models → Generalist VLA models and benchmarks
- Rubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-as-Reward RLLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- Hybrid-Policy Self-Editing for Composable Unstructured Knowledge EditingKnowledge distillation → On-policy and self-distillation for LLMs
- Motion-as-Prompt: Enhancing Motion Reasoning in Multimodal Large Language Models via Motion-Guided Cross-Frame Visual PromptingLLM reasoning → Multimodal reasoning +1
- Robustness of AI-Art Detectors under Generator ShiftDiffusion models → Image generation, text-to-image and editing
- FM-LLM: A frequency-enhanced mixture-of-experts framework for adapting LLMs to time series forecastingMixture-of-experts → MoE for time series and graphs
- Generative Video Compression Based on Hierarchical ReferencingDiffusion models → Diffusion for compression and wireless
- MBA: Multimodal Benchmark and Agents for Real-World Business IdeationLLM agents and tool use → Multimodal and embodied agents
- Foresight Without Seeing: Latent Futures for World Action ModelsWorld models → Embodied and robot world models
- Learning from Online User Feedback for Shopping AgentsLLM agents and tool use → Agentic recommender systems +1
- How Can Driving World Models Do Counterfactual Prediction?World models → World models for autonomous driving +1
- Small Language Model enabled Autonomous agent for Language-Conditioned Cognitive RadarLLM agents and tool use → General LLM agent frameworks and benchmarks
- Video2Track: From Real-World Interaction Videos to Steerable Adversarial Closed-Track Testing for Automated Driving SystemsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- CoAdapt-GUI: Joint Workflow Context and Policy Adaptation for Unseen GUI ApplicationsLLM agents and tool use → GUI and mobile agents
- Localizing Safety Alignment: MLP Layers and Mid-Network Blocks Encode Refusal Behavior in Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- RoadWeaver: Large-Scale Lane-Level HD Map Generation from Scratch for Autonomous Driving SimulationEnd-to-end autonomous driving → End-to-end system architecture
- Reinforcing Step-level Reasoning for Effective Self-Correction in LLMsLLM reasoning → Test-time compute and efficient thinking +1
- From Synthesis to Removal: Physics-Grounded Reflection Simulation and Diffusion-Based Video DereflectionDiffusion models → Inverse problems and image restoration
- Beyond Single-Turn Confidence: Trajectory-Adapted Uncertainty Quantification for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Through Van Gogh's Eyes: Global Style Transfer with Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- CT-DeltaBench: A Benchmark for Longitudinal 3D Medical Imaging Difference Reporting with Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Keep the Future, Drop the Rollout: RIFT for World Action ModelsWorld models → Embodied and robot world models
- Fixed Points Without Fixed Diffusion: Implicit Neural Sheaves for Convergent Test-Time Computation
- Why Clipping Matters in AdaGrad? Toward a High-Probability Theory under Generalized Smoothness
- Cosine Similarity Is Not Evidence: Measuring the Noise Floor of Interpretability Transfer Under Quantization
- Framing by Wording, Framing by Selection: A Large-Scale Two-Dimensional Audit of French News Headlines, 2022-2025
- A Hybrid AI Framework for Academic Advising: Integrating Ensemble-Based Grade Prediction and a Rule-Based Expert System
- Damage Predicts Recovery: When Calibration Data Matters in Compressing Financial LLMs
- ABAI at COLIEE 2026 Task 1: Multi-Stage Retrieval with GraphRAG-Enhanced Meta-Learning, and a Post-Hoc Study of the Cross-Validation-to-Test Gap
- High-Order Liquid Evidence Modeling for Continuous and Subtle GNSS Spoofing Detection in Autonomous Driving
- NPLSD: Accelerating Line-Segment Detection on NPU Microcontrollers
- When Who You Are Can Change the Code You Get: A Study of Persona-Induced Bias in LLM Code Generation
- Context Poisoning as Extreme-Value Attention Interference in Long-Context Language Models
- A framework for recipe data structure with applications for culinary and nutritional insights
- Token Signatures of Code: Comparing Coding Behaviors Across Large Language Models
- Function Lives Where Variance Doesn't: Task-Weighted Charts of a Language Model's Computation
- Exact ReLU realization of binary affine refinement iterates via reflection folding and cone switching
- Redesigning and Auditing Deep Research Writing for Faithful Reports
- Operational digital twin clinics enable task-based evaluation of embodied AI
- Do CNNs Internally Represent Real and Fake Images Differently? A Hidden-Layer Analysis
- Low Cost Two-Stage Fabric Defect Detection at the Edge
- Spatial Attention Noise Masking for Causally Sufficient Interpretability
- Privacy-Preserving Dataset Curation for Kuala Lumpur Urban Traffic: Grounded Vision-Language Detection with Spatial Vehicle-Context Filtering
- A Vision Transformer for ECG-Based Detection of Left Ventricular Systolic Dysfunction Across Multiple Clinical Sites
- Braided Vision Transformer for Stroke Detection in Multi-view Retinal Fundus Imaging
- Multi-Agent Closed-Loop Reasoning for Organic Structure Elucidation from Multimodal Spectra
- DeCo-MIL: Debiased Counterfactual Reasoning for Long-Tailed Whole Slide Image Analysis
- Local Gains and Fixed-Assignment Set Losses in Shared Set Decoders
- Koopman early warning signals for bifurcation and rate-induced tipping
- AI Model Design and Physician Liability
- How Compliant is Sepsis Treatment? An Expert-Guided Neuro-symbolic Pipeline for Generating Clinical Compliance Insights
- Adjacency-Based Spectral Proxy Control of Mobile Communication Agents
- SemPlan: Benchmarking Structured Semantic Planning for LLM-Based Queries over Enterprise Data
- A Local-Linearly Convergent Algorithm for Nonconvex Equality-Constrained Optimization
- Evaluating AlphaEarth Foundations Embeddings for Wildfire Susceptibility Mapping
- Inference-Time Orthogonal Seeding Enables Geometry-Aligned 3D Organ Segmentation for Slice-Propagation Methods
- General Probabilities of Causation with Causal Knowledge
- Training Under Challenge: Executable Certificates and Challenge-Closed Optimality for Neural Networks
- Interpretable Causal Discovery via Causal-Effect Constraints
- Novels generated by language models show compressed formal variation
- CAKE: Compiler-Agent Co-Design for Frontier Kernel Evolution
- Structure-preserving uncertainty quantification for GENERIC dynamics
- The Boolean Power of ReLU
- Drive-to-Music: Context-Aware Generative Audio for In-Vehicle Experiences
- From Visual Widgets to UI Code: Efficient Tool-Grounded Generation
- @skills: Attention is all you have
- Dead text or binding clause? Measuring and restoring constraint influence in black-box LLM dialogues
- Intensional Anaphora
- Predicting When Random Low-Dimensional Reparameterizations Train Neural Networks
- What Makes a Peer? Valuation-Anchored Similarity in Private Markets
- DiG-bench: Discovery in Games
- Represent, Then Generate: Multimodal-Conditioned Time-Series Generation under Irregular Missingness
- Auditable agentic AI for evidence-grounded thyroid ultrasound diagnosis and reporting
- Supervised Mixed-Frequency Learning for Macro-Financial Forecasting When Factors are Weak
- DYSANOS Generative Dynamic Smooth Arbitrage-free Non-parametric Option Surfaces
- Not All Nudges Land: Behavioral Controllability and Elaboration Quality in AI-Supported Journaling
- Trie Automata for Constrained Decoding over Large Finite Sets
- Prof-K: Probabilistic One-Pass Filtering for Efficient Top-k Selection
- Is this Citation on Point?
- Attribute-Conditioned Multimodal Slot Factorization for Controllable Fashion Retrieval
- CAS: A Causal Attribution Score for Local and Global Explainable Artificial Intelligence
- StrAD: A Streaming Method and Benchmark for Audio Description Generation for Long-form Videos
- Analysis of Motor Signatures of Social Adaptation in Autism for Efficient Human-Centric Systems
- Surface-to-Skeleton 3D Cephalometry: Estimating Hidden Skeletal Landmarks from CT-Derived External Soft-Tissue Surfaces
- GENADA: efficient generative time series adversarial attack framework
- SchemaLink: An Intelligent Web Editor for LinkML Schema Curation
- varepsilon-MemEvo: Adaptive Cross-Task Memory Transfer for LLM Program Evolution
- Exploring Oversmoothing with Householder Matrices
- SoK: From Generation to Consumption of Privacy Documents in Software Systems
- Fast Length-Squared Sampling for Positive-Semidefinite Matrices
- HIMEC: Directional Change Representation and Fixed-Interface Decoding for Remote Sensing Image Change Captioning
- When Can You Trust Offline Evaluation of Equal-Cost Top-k Allocation? A Controlled, Reproducible Benchmark and Practitioner's Guide
- Learning Under Treatment-Induced Label Indeterminacy with Expert Annotations of Counterfactual Outcomes: A Case Study in Neurological Prognostication
- Don't Cut Corners: How Training Outside the Prior Makes Simulation-Based Inference More Robust
- Exemplar-based objective classification of gust-induced loads across multiple flight conditions
- Geometric and Behavioral Stratification in Transformer Residual Streams
- Personalized Scorer Modeling: A Learning-Based Framework for Deriving Robust Sleep Stage Labels from Multiple Experts
- Non-Degenerate Risk Certification for Automated Security Decisions: A Decision-Contract Theory with ATT&CK-Aligned Triage as a Worked Instance
- MV2: Multi-View Multi-Vehicle Driving Dataset for Novel View Synthesis
- Dual Spatial-Temporal Attribution: Architecture-Aligned Post-Hoc Explainability for Recurrent Graph Anomaly Detection
- Unifying Generative Models with Path Integrals
- Multi-AUV Ad-hoc network-based Target Tracking: A Value Gradient Guidance Multi-Agent Diffusion Reinforcement Learning Approach
- MARCH: Scaling Recurrent Memory with Content-Routed State Anchors
- MindMemOS: A Portable and Self-Evolving Memory Operating Layer for AI Agents
- Large Language Models Can Follow Instructions, But Not Many at Once: Phase Transitions in Compositional Constraint Satisfaction
- AI-Driven Multiscenario Interest Rate Forecasting: A Proof of Concept for Banking Asset Management
- Which Site, and When: A Free-Satellite-Data Test of Himalayan Glacial Lake Bursts, Landslides, and Ice Floods
- StateFlow: Building, Evolving, and Accessing 3D World States for Previsualization
- DreamFly: Causal Memory and Receding-Horizon Diffusion Planning for Aerial Vision-Language Navigation
- Constructing Dynamic Master Logic Models as Knowledge Graphs for Complex System Diagnostics Using Retrieval-Augmented Large Language Models
- A Framework for Designing Reward Functions: From Objectives to Features to Human-Aligned Reward Functions
- Class Activation Mapping in Explainable Computer Vision: A Method-Centered Review of CNN, Transformer, and Foundation-Model-Era Visual Explanations
- Large Language Model-Driven Small-Capitalization Trading: Integrating Financial News Sentiment, Macroeconomic Indicators, and Technical Signals
- Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation
- Structural Silence: When AI Infrastructure Fails Speakers of Underrepresented Languages
- A Neighborhood Attention Transformer Network for Enhanced 3D Segmentation of the Left Anterior Descending Artery
- Earth observation embeddings are effective sub-grid descriptors for probabilistic weather downscaling
- A Cascaded Unsupervised-Supervised NLP Pipeline for Detecting Accusatory Language in Public Procurement
- Calibration Bets on the Past: Post-Training Quantization for Financial Time-Series Forecasting
- Automated Borehole Core Analysis with Report-Derived Weak Labels and Supervised Crack Segmentation
- VICBench: A Multi-Language Benchmark for Code Vulnerability Detection
- HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression
- How Organizations Use AI: Evidence from ChatGPT
- ScaleVid: Geometry-Aware Video Object Scaling with Mesh-Free Inference
- An Efficient Minimax-Optimal Algorithm for Adversarial m-Set Bandits
- Few-Shot Ordinal Learning for Day-Wise Freshness Estimation with Hyperspectral Fish Images
- Domain-Aware Lightweight Spectral-Grouped Convolutions for Hyperspectral Fish Freshness Classification
- ScreenShot: A Foundation Model for Few-Shot Combination Drug Screening
- Information Abundance Paradox: Long-Context Training Undermines Parametric Knowledge
- NetlistBench: Evaluating LLM Reliability in SPICE Netlist Recognition and Manipulation
- M-Net: Integrating Spectral Features and Physical Field Operators into Deep Learning for Medical Image Segmentation
- HYDRA: Hyperbolic Dynamic Representation Architecture for Kolmogorov-Arnold Networks
- How to Spend Your Oracle Budget: Practical Guidance for Protein Structure Prediction Models
- Machine Learning-Based Cyber Defense for Cloud Infrastructure: An Adaptive Deep Q-Network Architecture for Intelligent Intrusion Detection and Automated Threat Mitigation
- GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning
- Map-Det3D: Metric Feed-Forward 3D Reconstruction Prior for Multi-view 3D Object Detection from Streaming Inputs
- TGRHuman: Text-Guided Realistic 3D Human Generation via Diffusion Renderer
- Co-constructing sociotechnical AI governance: participatory system mapping using algorithm registers
- Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus
- Autonomous Telerehabilitation via Skeletal Motion Prediction and Joint-Level Performance Assessment
- ADEPT: A Unified Framework for Deep Learning Test Adequacy
- FQTree: Fine-grained Quantization and Hardware Generation of Boosted Decision Trees
- Adversarial Resilience of Poisson-Process Submodular Maximization over Matroids, and Full-Bandit Learning
- GUIDE: Governed Unified Intelligence for Document-to-Artifact Generation in Enterprise Settings
- SCOPE-Router: Cost-Aware Open-Set VLM Routing for Execution-Oriented Tasks
- HandEdit: A Unified Benchmark for Egocentric Human-to-Robot Dexterous Hand Image Editing
- Attractor Image-Based Deep Learning of Arterial Pulse Waves for Age Classification
- Structuring the Space of Perspectives
- The Advective Fisher-Rao Geometry of Deterministic Measure Transport
- Beyond Parameter Space: NTK-Guided Personalized Aggregation for Robust Federated Learning
- Avatar-Forever: Decoupled Parallel Training for High-Quality Real-Time Infinite Avatars
- Confidence Calibration of Deep Learning Systems
- Graph-Structured Rubrics: Compiling Rubrics into Typed Evaluation Graphs for LLM Judges
- Task- and dataset-specific information in protein language models
- RA-ClipScore: Making Generative Model Evaluation More Interpretable
- NAE: Normalizing AutoEncoder
- Draw This First
- Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations
- Towards Truly Unsupervised Evaluation of Feature Selection -- Extended Version
- Do Not Forget the Obvious - RISC: A Risk-Informed Slice-Coverage Protocol for Safe Autonomous Driving
- Predicting Functions, Not Features: KANs with Function-Space Joint-Embedding Predictive Learning for Medical Image Segmentation
- Localizing to Debias: A Patch-Level Benchmark and Baseline for Weakly Supervised Spatial Anomaly Detection
- Direct Acceleration of Stochastic Root-Finding Without Variance Reduction and Regularization
- Clustered Randomized Smoothing for Stochastic Prediction Functions
- Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence
- How Far from Clinical Deployment? Evaluating the Complete Unsupervised Domain Adaptation Pipeline in Medical Imaging
- Uncertainty-Aware Probabilistic Constrained Clustering from Entangled Pairwise Supervision
- SoftWater: Class-Aware Rate Allocation for Softmax Quantization
- From Safety Documentation to Safety Knowledge Support: An Evidence-Grounded LLM Framework for Medical Devices
- Unified Multi-Dialectal Neural Machine Translation for Bangla Using the Dwadash Benchmark Corpus
- Reducing Symmetry Increase in Equivariant Neural Networks
- Adaptive Bregman Proximal Stochastic Gradient with a Stabilized Barzilai--Borwein Step Size
- Asymptotic Risk Calibration for Selective Question Answering
- Dual-Model Sentiment Analysis of Consumer Reviews in the Retail Coffee Sector Using Machine Learning and Deep Learning Approaches
- RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks
- CTBench: Evaluating Troubleshooting Capabilities of AI Agents in Realistic Telecom Network Operations
- Remote Sensing and Machine Learning-Based Analysis of Land Use and Vegetation Change in Dhaka District, Bangladesh
- Beyond Local Power: Functional Connectivity Analysis for Subject-Independent Learning Style Recognition
- A Remote Approach to Cashew Orchard Detection: Leveraging Active Learning with Satellite Imagery in Guinea-Bissau
- Latent variable models for simultaneous EOV identification and removal in population-based SHM
- Auditing Frame-Level AUC in Weakly Supervised Video Anomaly Detection: Granularity, Resolution, and Scene Bias
- Benchmarking Trustworthiness of SLMs: Pre-trained vs. Compressed
- TESLA: Taylor Expansion of Sinusoidal Learnable Activations
- Causal inference for group-contaminated structured outcomes: observable quotients, lossless reduction and exact randomization inference
- TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement
- A, B, C, or Stable? Accuracy and Order Sensitivity Diverge in LLM Multiple-Choice Evaluation
- OEIS Open: How many conjectures can language models turn into theorems?
- Surfsvr: 2D Surface Priors as 3D Geometric Regularizers for Sparse Voxel Reconstruction
- Distillation of Foundation Models for Time-dependent PDEs
- Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection
- Seed2GS: Camera-Free, Training-Free Object Extraction from 3D Gaussian Scenes via a Single Reference-View Grounding
- Spark-to-Paper: End-to-End Research Paper Generation as a Composable Skill
- LazyTrain: Limited-resource Allocation toward Zero-waste Yield Optimization in Large Language Model Training
- A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression
- Hamilton-Zero: A Neural Tensor-Network Foundation Model for Ground States of Arbitrary Quadratic Qubit Hamiltonians
- Disentangling the Expressivity of RoPE
- Benchmark-Based Comparative Assessment of Publicly Benchmarked Indian Foundation Models: A Capability and Evaluation-Maturity Framework
- DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation
- CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation
- Warping Earth Observations for better ice labeling in the Marginal Marginal Ice Zone
- DCM Bandits: Multiplayer Information Asymmetric Cascading Bandits for Multiple Clicks
- Forward and Inverse Virtual Metrology for Phototransistor Gain: A Hierarchical, Uncertainty-Aware Approach for Small Production Datasets
- Two-Stage Deformable-Convolutional Inverse Design of Nanophotonic Absorbers from Optical Spectra
- Small-Scale Experiments: Are We There Yet?
- BoltNet: An Ultra-Lightweight Convolutional Network for On-Device Plant Species Identification
- When the Knowledge Base Becomes the Gold Standard: Measuring Resource-Shared Evaluation Loops in Entity-Level Machine Translation
- User-Assisted Collaborative Distributed Inference for Efficient QoS-Aware Autoscaling
- Air Quality Station Simulation via LSTM and Attention-Based Modelling
- Distractor-Aware Video Object Segmentation
- Kernel Methods for Learning Operators with Multiple Inputs and Outputs
- Quantifying the Relationship Between Clinical Safety and Environmental Impact in Therapeutic LLMs
- Located but Not Releasable: Silent Gate Inversion and Bounded Linear Release
- TD-VAD: Breaking Visual Dependence in Video Anomaly Detection with Text-Driven Learning
- Learning with Bilevel-Minimax Optimization for Efficient and Reliable Transfer Attacks
- Can Vision Models Read the Radar Display? On the Feasibility of Radar Imagery for Air Traffic Complexity Estimation
- Hybrid Gated Attention
- Towards Model-based Run-time Cybersecurity: On Control-Flow Anomaly Detection, Attack Identification, and Hardware Monitoring
- JAPE: Joint Anomaly Prediction and Intrinsic Explanation in Multivariate Time Series
- Reading the Gate, Not the Interference: Output-Side Interference Measurement Does Not Track Merge Collapse
- Toward Meaningful Transparency for AI Chatbots: Disclosing Persuasive Intent Reduces Persuasion
- PolarSym: Polar Geometry-aware Attention for CAD Floorplan Parsing
- High-Order Liquid Evidence Encoding for Gradual GNSS Spoofing Detection in Autonomous Driving
- TELLME: Test-Enhanced Learning for Language Model Enrichment
- Language-Conditional Dequantization: Recovering What Quantization Steals from Non-English Languages
- Coarsening Latent-Class Probabilities: Directional Distortion and Coverage Loss
- Diagnosis Before Recovery: Turning Agent Failures into Selective Self-Correction
- Achieving Near-Zero-Overhead Multi-Model Hierarchical Classification in Real-Time Detection Pipelines
- HyperANFIS: Enhancing Rule Representation and Interpretability in Adaptive Neuro-Fuzzy Systems via Hyperbolic Geometry
- Causal Structure is Inducible but Functionally Decoupled: The Routing/Readout Boundary of a Typed Mechanism Library
- Instruction Alignment for Binary Code Representation Learning
- ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation
- A comparison of CNN architectures for Alzheimer's disease detection in single-view MRI scans
- Tight Nonasymptotic Local Convergence of Sinkhorn-Knopp
- Automated binary classification of hazelnut X-ray images: A deep-learning benchmark for quality assessment
- LabelFusion-TS: Fusing Large Language Models, Transformer Encoders, and Financial Time Series for Monetary-Policy Stance Classification
- UniSwap: Streaming Audio-Visual Identity Swapping for Talking Videos
- MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning
- Making Every Step Count: Spatio-Temporal Information Allocation for Imaging Inverse Problems
- Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization
- LiveAnimate: Stable Long-Form Streaming Human Animation in Real-Time
- JieZi: A Large-Scale Expert-Audited Dataset and Benchmark for Ancient Chinese Character Exegesis
- Locating and Controlling Implicit Personalization in Large Language Models
- A 12-CNOT Double Qubit Excitation Gate
- Proportional Analogies on Probability Distributions via Bayesian Updating
- When the API Speaks the Wrong Language: Revisiting Post-Training for Multilingual Tool Use
- High-dimensional Multi-objective Bayesian Optimization with Learned Variable Interactions
- Robust and Efficient Noisy-Label Time-Series Classification via Dynamic Time Warping Based Granular Ball Computing
- Consolidator: Learning Persistent Routed Memory Across Context Boundaries
- Boundary-Enhanced Segmentation of Pig Point Clouds in Commercial Housing Environments
- The Wording Effect: Quantifying Two-Way Drift in LLM Benchmark Performance
- HUGIN: Enhancing Vision-Language Planning for Autonomous Logistics Sorting
- Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning
- EGM-Det: Entropy-Guided Multimodal Adaptive Fusion for UAV RGB-IR Object Detection
- Learning from Multimodal Pseudo-Labels for Robust Open-Vocabulary Instance and Panoptic Segmentation
- FunnelCausalNet: Funnel-aware Joint Conversion-Revenue Uplift for Multi-tier Coupon Allocation
- Zero-OVCD: Bridging Training-Free Foundation Models and Pseudo-Label Learning for Open-Vocabulary Change Detection
- Low-Interaction-Rank Learning: Unifying Multiplicative Dual-Encoder Heads
- Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning
- Semantic Lenia: Emergence of Homeostatic Solitons within the Semantic Space of Large Language Models
- Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation Models
- Towards a Formal Definition of Agent Memory: Basis, Span, Optimality, and the Sequential Memory Problem
- Confucius4-TTS: Transcript-Free Cross-Lingual Zero-Shot TTS with a Learnable Speaker Encoder
- Who Would You Vote For? Auditing Political Alignment in LLMs: An Italian Case-Study
- A Quantum/Classical Example Oracle Separation for Making Things Up
- Hybrid-LUT: Channel-Aware Hybrid Lookup Table and Filtering for Efficient Image Denoising
- Cloak of Invisibility: Real-Time Privacy-Preserving Volumetric Video Streaming
- Transferable Above-Ground Biomass (AGB) Estimation Model from Multi-Sensor Data with Sparse Field Calibration
- CAM-Guided Saliency Cutout and Image-Based Malware Classification
- Beyond Memory: A Transactional Continuity Kernel for Long-Lived AI Agents
- CLAIM: Leading Open-domain Active Clarification of Large Language Models with Uncertainty Measurement
- Easper: An Accessible ASR Pipeline for Language Documentation
- Deep Learning Based Relative Transfer Matrix Estimation for Multiple Sources and Multiple Microphones
- Making AI-Generated Feedback Matter: A Large-Scale Study of Feedback Workflows and Student Enactment
- Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs
- KANResDiff: Learning Local Residual Diffusion via Kolmogorov-Arnold Network for Ambiguous Medical Image Segmentation
- A Local Sinkhorn Framework for Conditional Distribution Reconstruction of Multidimensional Random Fields
- Dion3: Full-Stack Orthogonal Updates
- Topology-Aware Query Selection for Surgical Instrument Instance Segmentation
- IoT-Enabled Autonomous Maritime Navigation in Smart Ports: A Curriculum-Guided Shared Policy Learning Framework
- ProtoHGF-Net: Prototype HyperGraph Fusion with Intra-modal Calibration for RGBT Object Detection
- CookVoice: Unified Framework for Style Controllable Multi-Modal Human Voice Generation
- Robust Multi-Tier Infant-Centered Audio Understanding with Whisper via Structured Speaker Conditioning
- Unifying Physical Backpropagation
- EnterpriseRAG: Benchmarking LLM Instruction Adherence and Robustness under Non-Ideal Enterprise Retrieval
- A Hybrid Framework of Vision Transformer and Gated Recurrent Unit for Detection of Mosquito Diseases
- Dialogue-Aware Video-to-Music Generation Using Public Domain Film Collections
- Hand Visibility Detector: Per-Keypoint Visibility Estimation for Hands
- RECAST: A Machine-Learning Framework for Correction and Super-Resolution of Coarse-Grid PDE Solvers
- Sparse and robust geometric twin support vector machine via asymmetric RoBoSS loss function
- Measuring Browser Webcam Gaze Honestly: A Capture-Clock Methodology and Open Reference Implementation
- Alignment of Similarity-Transformed Images Based on Fourier--Mellin Transform Using Auxiliary Function Method
- Repurposing RGB-based Foundation Model for Depth Estimation on Thermal Images Using Hierarchical Supervision
- When Offline Evaluation Misleads: A Diagnostic Protocol for Reward and Policy Selection in Delayed-Feedback Contextual Bandits
- Certifying What Helps Customer-Return Timing: A Screen-and-Confirm Test for Conditioning Signals, and Why Decay Is Nearly Enough
- Boundary-Continuous Cross-Camera RGB Mapping via Hue-Split Model Trees
- Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows
- Robust Ambiguity Detection (RAD) From Model- and Feature-Space Consistency
- A Conceptual Framework for Enhancing Workforce Readiness for Smart Manufacturing in the AI Era
- Generative Semantic Segmentation via an Observable Semantic-Image Interface and Hierarchical Generator Evidence Alignment
- Hierarchical Federated Transfer Learning in Digital Twin-Based Vehicular Networks
- On Weak Bisimilarities in CCSK
- Group Alignment-Induced Sycophancy: A Two-Sided Evaluation of Steerable Pluralistic Alignment
- FLARE++: Low-rank attention with dynamic attention routing
- New Orthogonal Multiwavelet Filters Derived by Matrix Spectral Factorization