Papers
Thu 20 Aug 2026
357 papers
- ChronosAttack: Adversarial Tool Scheduling Attacks on LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Agentic AI Cybersecurity FrameworkLLM agents and tool use → Agent threats, guardrails and governance
- Reachable Global Optimization in AI Systems: How Global Is Global?LLM reasoning → Reasoning for agents, planning and code
- Agentic Governance and Adversarial Verification for Policy-Constrained LLM Healthcare Appeal GenerationLLM agents and tool use → Medical and scientific domain agents
- PonyEval: Evaluating LLM-Based Program Repair for Capability-Safe and Actor-Oriented Pony SoftwareLLM agents and tool use → Software engineering coding agents
- Towards Adaptive Interaction Strategies for Human Companion Robot via Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Balancing Reasoning and Hardware Constraints in RAG Pipelines for Ukrainian Multi-Domain Document UnderstandingLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Success Leaves Detours: Learning Executable Walkthroughs for Long-Horizon AgentsLLM agents and tool use → Software engineering coding agents
- SCAFFOLD: A Large-Scale Structured Dataset of Computer Science Research Figures with Diagram QA and Chain-of-Thought Reasoning TracesLLM reasoning → Knowledge- and tool-augmented reasoning
- FigmaTrace: Capturing Creative Nuances in Human Figma Design WorkflowsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- When Failures Propagate: Causal Failure Attribution in Agentic Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Dual-Cache Latent Space Communication between Heterogeneous Language ModelsLLM agents and tool use → Software engineering coding agents
- Evaluating Skills, Not Just Agents: Agentic Continuous Evaluation of SkillsLLM agents and tool use → Agent skill learning and evolution
- Difficulty-Aware Semantic-ID Optimization for Generative RecommendationLLM reasoning → LLM reasoning for recommendation
- Testing and Evaluation of Agentic AI Systems In Military Command and ControlLLM agents and tool use → Agent threats, guardrails and governance
- AutoMOOSE: Use Case and Logical Views of Agentic Phase-Field Simulation SoftwareLLM agents and tool use → Medical and scientific domain agents
- AgentDecarbonizer: Carbon-Aware Execution for AI AgentsLLM agents and tool use → Software engineering coding agents
- Consilience: Conformally Calibrated Communication Control for Hidden-Profile Multi-Agent ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Beyond End-to-End Success: Diagnosing Failures in Long-Horizon Security LLM AgentsLLM agents and tool use → Software engineering coding agents
- Consistency Models for Fast MRI Reconstruction Using Regularization by DenoisingDiffusion models → Medical imaging and segmentation
- Logic-VLA: A Temporal Logic Conditioned Vision-Language-Action ModelVision-language-action models → Aerial and drone VLA
- aiXamine: Unified Black-Box Evaluation of Cross-Dimensional Trade-offs in LLM Safety, Security, and PrivacyLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Volumetric Radiology AI in the Era of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- LiLiCorr: Lightweight Likelihood Correlation of Parallel Drafts for Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- FL-MAESTRO: Multi-Agent LLM Orchestration for Resource-Constrained Federated LearningLLM agents and tool use → Agentic AI for wireless networks
- DiffVC-ONE: Diffusion-based Generative Video Compression with One-Step Video Diffusion TransformerDiffusion models → Diffusion for compression and wireless
- Towards Traffic Modelling of Multi-Agent Systems: The Role of Coordination TopologyLLM agents and tool use → General LLM agent frameworks and benchmarks
- Annotations as Rollouts: Efficient and Scalable Reinforcement Learning for Video MLLMsLLM reasoning → Multimodal reasoning +1
- Metag: A dataset to build agentic meta-reviewing capabilitiesLLM agents and tool use → Web, search, and research agents
- Terminal Agents: A Survey of AI Agents in Command-Line EnvironmentsLLM agents and tool use → Software engineering coding agents
- AEGIS: Preventing Cross-Domain Resource Abuse in MCPLLM agents and tool use → Agent threats, guardrails and governance
- EndoLIFT: Language-Disambiguated Latent-Conditioned Rectified Flow for Bidirectional Endoscopic ControlDiffusion models → Medical imaging and segmentation
- Aggregating Visual Information with Optimal Transport for VideoLM Token CompressionEfficient LLM inference and serving → Visual token pruning in multimodal models
- Peer-Voted LLM-Agent Stress Tests Find Feed-Induced Lexical Convergence but No Reliable Matched-Exposure Advantage for Distributed SourcesLLM agents and tool use → Social simulation and multi-agent debate
- An LLM agent for end-to-end computational materials discoveryLLM agents and tool use → Medical and scientific domain agents
- RISE: Adaptive Imagination for World Action ModelsWorld models → Embodied and robot world models
- ConceptGuard: Benchmarking Context-Sensitive Unlearning in Large Language ModelsLLM safety and security → Machine unlearning
- An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand PredictionLLM agents and tool use → Multimodal and embodied agents
- AI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-ImprovementLLM agents and tool use → General LLM agent frameworks and benchmarks
- Projecting BrowseComp-Plus onto ClimbMix: Toward More Realistic Corpora for Agentic SearchLLM agents and tool use → Web, search, and research agents
- MidTool: Mid-training Data Synthesis for Agentic Tool UseLLM agents and tool use → Reinforcement learning for LLM agents +1
- ACE-Ego-Hand: Repurposing Video Diffusion Models for Occlusion-Robust Egocentric 3D Hand Motion RecoveryDiffusion models → Diffusion and flow policies for robotics
- Phantom Gains: Auditing Self-Improvement Against a Measured NullSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion PlanningWorld models → Medical and surgical world models
- Break It Down, Pass It On: Cross-Task Skill Transfer in LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Learning When to Think: Adaptive Reasoning for Test-Time Compute AllocationLLM reasoning → Test-time compute and efficient thinking
- What Makes a Good Fiqh Retriever? Answer Retrieval for Arabic Islamic JurisprudenceRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Rule-Compliant Visual Spatial Planning for Multimodal Large Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- RoMAN-Flow: Taming Autoregressive Normalizing Flows for Offline Reinforcement Learning in Robotic ManipulationOffline RL and imitation learning from data → Real-world robot offline RL
- From Agent Behaviour to Agent-Friendly Documentation: An Empirical Study of How Coding Agents Discover, Read, and Write Technical DocumentationLLM agents and tool use → Software engineering coding agents
- DARS: Dual-Level Credit Assignment RL with Structured Reasoning for Instruction-Based Image EditingLLM reasoning → Multimodal reasoning +2
- Feature Evolution and Migration during Vision Transformer TrainingMechanistic interpretability → Interpreting vision and multimodal models
- Multi-Agent Orchestration with the Common-Sense Reasoning Capabilities of LLMs for Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- Discrete Diffusion Inference-Time Control with Nested Sequential Monte CarloDiffusion models → Discrete and text diffusion
- ArmorOCR: Grounded Adversarial Visual Perception via Observation-Transferred Self-DistillationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- SAE-Xplainers: Rule-Based Feature Interpretation for Extreme Earth EventsMechanistic interpretability → Interpreting time-series and weather models
- DECOWAM: Decoupled Whole-Body World-Action Model for Legged Mobile ManipulationWorld models → Embodied and robot world models
- Flow Matching-Based PET Image ReconstructionDiffusion models → Medical imaging and segmentation
- Planning-Oriented End-to-End Autonomous Driving: Architectures, Evaluation, and Emerging ParadigmsWorld models → World models for autonomous driving +1
- Reward-Guided Autoregressive Graph Generation for Efficient Multi-Agent Communication Topology DesignLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- TrustRAG: Blockchain-Enhanced RAG via Committee-Based Credibility ScoringRetrieval-augmented generation → Privacy and security of RAG
- Backstepping-Guided Reinforcement Learning for Wide-Range Saint-Venant Canal RegulationDeep reinforcement learning methods → RL theory and sample complexity
- Evidence-Gated Task and Motion Planning with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Orthogonal JEPA: Factorized Predictive States for Latent World ModelsWorld models → Latent predictive world models
- Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-ExpertsMixture-of-experts → MoE theory and gating functions
- EchoCoT: Extracting Hidden Chain-of-Thought from Large Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Auditing Cross-Lingual Fairness in Language Model WatermarkingLLM safety and security → Watermarking generated content and models
- A three-dimensional typology of agency for advanced AI systemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Emergence of cooperation: A reputation-modulated reinforcement learningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Manifold Drift in Flow Preference Optimization: A Root Cause of Reward HackingDiffusion models → Flow matching, time series and science +1
- Optimal Skill Selection for LLM Agents with Provable Bicriteria GuaranteesLLM agents and tool use → Agent skill learning and evolution
- COPA: Continual Preference Optimization for Adaptive Prompt Injection DefenseLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- ReguSim: Evaluating LLM Agent Rule Grounding in Financial ComplianceLLM agents and tool use → Financial trading and forecasting agents
- Flow Matching Meets 3D Curvilinear Structure Segmentation in Medical ImagingDiffusion models → Medical imaging and segmentation
- Bringing analytic rigor to agentic AI for science: The Brain Researcher platform for neuroimaging data analysisLLM agents and tool use → Medical and scientific domain agents
- MaliciousSkillBench: A Comprehensive Benchmark for Malicious Agent Skill DetectionLLM agents and tool use → Agent threats, guardrails and governance
- EXIMO: VLM Guided Exploration of VLA PoliciesVision-language-action models → Reinforcement learning and post-training
- Write Once, Run Everywhere: The Axon DSL for Shape-Safe and Framework-Agnostic LLM ArchitecturesEfficient LLM inference and serving → Serving systems and request scheduling
- EnvHarness: Awakening Static Worlds for Agent LearningLLM agents and tool use → Reinforcement learning for LLM agents
- A knowledge-guided agentic framework for mitigating patient-context ambiguity in health queriesLLM agents and tool use → Medical and scientific domain agents
- DIFFCZSL: Compositional Zero-Shot Learning Regularized by Diffusion RepresentationsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Repo0: Design-Driven Zero-to-All Code GenerationLLM agents and tool use → Software engineering coding agents
- SAPO: Single-Rollout Autoregressive Policy Optimization for Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Adaptive Probabilistic Shielding by Learning MDPs for Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Causal Reasoning with Bipartite Graphical Causal ModelsLLM reasoning → Causal reasoning in LLMs
- Energy-Mamba: A Physics-Constrained State-Space Model for Medical Image ClassificationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Answer-Level Trust Selection for Physical Vision-Language ReasoningLLM reasoning → Multimodal reasoning +1
- ADAPT: Physics-Aware Diffusion-based World Models for Adaptive Predictive Transferable HVAC ControlWorld models → Latent predictive world models
- MileGPO: Milestone Inference with Local Evidence for Graph-Based Policy Optimization of Long-Horizon LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Stopping and Routing LLM Judge PanelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science?LLM agents and tool use → Software engineering coding agents
- Towards general embodied intelligence: integrating large language models, knowledge bases, and reasoning capabilities to build the next generation of AI agentsLLM reasoning → Spatial and embodied reasoning +1
- PRAXIS: Graph-Grounded Tacit Knowledge for Domain Code GenerationLLM agents and tool use → Software engineering coding agents
- An Irreducible Quantum Advantage in Aligning World Models with RealityWorld models → World models for language agents
- Credit Without Ground Truth: Auditing Step-Level Credit Assignment in LLM Agents Against Executed ReplayLLM agents and tool use → Agent threats, guardrails and governance
- FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM ServingEfficient LLM inference and serving → KV cache optimization
- Truncate Bad, Upweight Good: BoN-Style Distillation via Rank-Based ClassificationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- One Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business WorkflowsLLM agents and tool use → Software engineering coding agents
- Question-Guided Evidence Acquisition for Multimodal Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- TempJail: Temporal Jailbreak Attack against Large Vision-Language Models via Subtitle SchedulingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
All 357
- SafeBranch: Branch-Pair Safety Alignment for Embodied AgentsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- A Locally Tokenized Generative Model for Robust Time-Series WatermarkingLLM safety and security → Watermarking generated content and models
- Projector Is All You TrainMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Rethinking the Evaluation and Optimization of LLM-Based Social SimulationLLM reasoning → Reasoning benchmarks and evaluation
- CacheRoute: Planned Prefix-Affinity Routing for Large-Scale LLM ServingEfficient LLM inference and serving → KV cache optimization
- Scaffolding Minds: Optimizing Latent Visual Target Representations for Multimodal ReasoningLLM reasoning → Multimodal reasoning
- ReCache: Efficient KV Cache Reuse and Compression for Tool-Augmented LLM AgentsLLM agents and tool use → Software engineering coding agents +1
- World-Model-Grounded LLM Planning for AUV and ASV Navigation Near Offshore Wind FarmsWorld models → World models for navigation
- FleetSieve: Decision-Critical Profiling for SLO-Aware LLM Fleet ConfigurationEfficient LLM inference and serving → Serving systems and request scheduling
- DeltaML-Bench: Evaluating Machine Learning Agents on Real-World Research RepositoriesLLM agents and tool use → Web, search, and research agents
- Can Agent Memory Systems Track Evolving State?LLM agents and tool use → Agent memory systems
- When Guidance Goes Off-Scale: Recalibrating Diffusion Transformers under Analog Compute-in-Memory NonidealitiesDiffusion models → Diffusion foundations and sampling
- Mitigating Identity Essentialism in LLM Agents with Longitudinal Life TrajectoriesLLM agents and tool use → Social simulation and multi-agent debate
- Forking Fast: Efficiently Estimating Uncertainty Dynamics in Text GenerationLLM reasoning → Test-time compute and efficient thinking
- PEA-DPO: Perception-Enhanced Alignment Direct Preference Optimization for MLLMs AlignmentLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- SSR-GRPO: Integrating Supervision and Semantic IDs into Reinforcement Learning for Dense Retrieval in E-commerceLLM reasoning → Knowledge- and tool-augmented reasoning
- OrthoSkillVLA: Continual Skill Learning via Gradient-Informed Skill Subspace AdaptationVision-language-action models → Reinforcement learning and post-training
- Unregularized Convergence of Single-Loop, Entropy-Regularized Natural Actor-CriticDeep reinforcement learning methods → RL theory and sample complexity
- VGI-Bench: Probing Visual Intelligence in Video Generation ModelsLLM reasoning → Multimodal reasoning
- Enforcing LLM Safety through DMD-based Classification of Prompt-Response Embedding DynamicsLLM safety and security → Safety alignment, refusal and guardrails
- HiTac-WAM: A Hierarchical Tactile World Action Model for Contact-Rich Robot ManipulationWorld models → Embodied and robot world models
- Remember, Verify, or Ask? Cross-Family Evaluation of Memory Commitment in LLM AgentsLLM agents and tool use → Agent memory systems
- When Do LLM Agents Help? Deadline-Aware Mixed-Criticality Task Scheduling at the Autonomous-Vehicle EdgeLLM agents and tool use → General LLM agent frameworks and benchmarks
- Stream4D: 4D-Consistency for Streaming Autoregressive Diffusion Video ModelsDiffusion models → Video generation
- Delegating or Doing? Understanding User Behavior in Hybrid Human-Agent InterfacesLLM agents and tool use → General LLM agent frameworks and benchmarks
- From Retrieved Context to Runtime Control: Adaptive Compression for Edge-based RAGRetrieval-augmented generation → RAG pipeline design and evaluation +1
- Automated Summarization of Financial News Using Large Language Models and Retrieval-Augmented Generation: An Early Empirical Study (Fall 2023)Retrieval-augmented generation → Legal and financial RAG
- DAVSS: Distilled Audio-Visual State Space ModelsKnowledge distillation → Speech and audio distillation
- Neural Ideals and Neural Codes: An Algebraic Framework for Neural Network Classification and Feature Interpretation
- False-science induction in autonomous scientific discovery
- Noise-Induced Predictability Redistribution Across Forecast Horizons of Extreme Events in Chaotic Dynamics
- Bounded Loops: Pre-Run Spend Bounds, Proved Termination, and Verified Completion for Agent Harnesses
- Learning What to Activate: Combinatorial Capability Allocation for Long-Horizon Multimodal Agents
- TopoGS: Topology-Aware Anchor Feature Aggregation for Large-Scale 3D Gaussian Splatting
- Evaluation Choices Decide the Forecasting Leaderboard: Evidence from a Production Marketplace Panel
- What Changed? Drift Detection with Real, Virtual, and Incomparable Diagnosis
- A hierarchy of faithfulness criteria for knowledge base completion
- Exact Minimax One-Bit Unbiased Compression: Heavy-Tail Necessity and Finite-Randomness Approximation
- From Reasoning Strings to Partial Orders: Verifier-Certified Rule Transport through Quotient Policy Optimization
- Mode Collapse Is Cheap to Detect: A Ground-Truth-Free Pre-Flight Check for Neural Samplers
- Margin-Drop Coordinates for Cross-Budget Robustness Evaluation
- StationPDE: Station-Oriented Surface PDE Learning for Multi-Station Multivariate Weather Forecasting
- Rank Portability Does Not Imply Feasibility Portability: Target-Specific Evaluation of Joint Hardware Constraints
- Modelling daily activity patterns from mobile phone location data via deep representation learning
- Evaluation Awareness Shifts from Format to Context with Model Scale
- Evaluating GNNs for Success Prediction in Artist Collaboration Networks
- Class-Based Heuristic Selection for Solving the Flying Block Puzzle
- PACEShop: Evaluating Personalized, Actionable, Compositional, and Evidence-grounded Shopping Assistants
- Enhanced Artificial Neural Networks Using QHAdamW in Air Quality Forecasting
- CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance
- CLSC DETR: Reliable Candidate Ranking via Cross Layer Geometric Support for UAV Small Object Detection
- Tomatoes, Potatoes, and Onions: Questioning the Need for Faces in Face Presentation Attack Detection
- Multi-Scale Fruit Capsules: Dilated Convolutions and Dynamic Routing for In-the-Wild Explainable Fruit Recognition
- Applying Anthropic Primitives at Large Enterprises: Harness Paradigm for Knowledge Work
- RECOUNT: Reference-guided Counting with Synthetic Visual Exemplars
- Let Time Tell: Identification and Gaussian Process Estimation for Interrupted Time Series
- A Dataset-Centric Benchmark of Deep Learning Methods for Grape Leaf Disease Classification and Detection
- JuryProbe: An Empirical Consensus-Risk Diagnostic for Routing Reference-Free Factuality Judge Panels to Grounded Verification
- Sparse Light Field Sampling Improves Casual 3D and 4D Reconstruction
- Aggregate, Don't Adapt: Subject-Level Posterior Aggregation and Transductive Calibration for Cross-Site Parkinsonian Gait Severity
- Keyed Provenance Watermarking with Complementary Lattice-Based Secure Aggregation for Federated Learning
- FlavourBench: Executable Culinary Reward Maps for Language Model Evaluation and Post-Training
- Faults That Fortify: CNN Adversarial Robustness via GPU Undervolting
- Open-Weight Masked Introspection: Measuring What Language Models Can Report About Their Own Computation
- Conditional-Independence-Regularized Distributional Autoencoders for Mixed-Type Data
- Zero-Shot Color Image Manipulation Localization via Noise Residual Artifact Pattern Analysis
- Learning Prostate Anatomy at Test Time for Cancer Detection in Micro-Ultrasound
- Keep Your Friends Close, and the Right Neighbours Closer: Disaster-Conditioned Kernel-Regularized Graph Attention for Building Damage Classification
- ExploraTwin, a Non-Profit Research Platform for Digital Twin Simulations
- Grounded-Exo2Ego: Structured Semantic Grounding for Robust Exocentric-to-Egocentric Video Generation
- Learning Exact NVIDIA SASS Encoders with mathbbF2 Linear Algebra
- Frozen CLIP Priors for Robust Self-Supervised Poisson Inverse Problems
- Large Scale AI Grading of Handwritten Physics Assessments: Score Agreement and Olympiad Team Selection Outcomes
- An integrated diffusion-weighted imaging processing and interpretation platform for MR-guided radiotherapy
- When Graph-JEPA Learns the Wrong Thing: Diagnosing and Repairing Category-Conditional Collapse
- Making Deployments Safe at Meta: Health Checks for Continuous Change-Safety
- [EDGE] A grouped calibration test for logistic regression that tolerates a few corrupted records
- A Temporal Planning Approach for Intelligent Flood Response
- Bern2Edge: A Neurosymbolic Compiler for Edge Deployment via Bernstein Polynomial Networks
- Lost in Translation: How Universal Ethical Values Fail to Translate Across Global Contexts
- Uncertainty propagation in auto-regressive random neural network models
- When Clean Data Hurts: Learning with Monotone Corruptions Beyond Binary Classification
- STCO: Conditional Neural Operators for Time-Dependent PDEs
- MultiCube: Compositional 3D Generation With Part-Level Semantic and Spatial Control
- Mutual information and sensitivity analysis for feature selection in customer targeting: a comparative study
- Amortized Bandwidth Learning for Kernel Density Estimation under Logarithmic Score
- Stored in Optimizer State, Valued by Later Training: A Causal Account of Subliminal Trait Transfer
- Shared Physics Responses Recover Hidden Rankings in Neural Operator Libraries
- Decision Tree and K-Means Analysis of Raman Spectra for Edible Oils: A Physics-Informed AI Approach
- Wrong-Physics Backdoors in Neural PDE Operators
- ProofJudge: Tool-Grounded LLM Evaluation of Formal Proof Quality in Mathlib
- Maximum Entropy Encoding of Energy-Weighted Spherical Moments
- Information on trajectories: martingales and random times
- WithEveryone: Unified Planning and Identity Grounding for Group Image Generation
- 4DAnyone: Create Anyone in 4D from a Casual Monocular Video
- Exploring the Performance Frontier of Compact Unified Image Generation Models
- G-CARL: Grounded Checklist-Aligned Reward Learning for Patient-Oriented Medical Report Interpretation
- TCPα: Margin-Controlled Confidence estimation for reliable Music Information Retrieval
- A comparison between ceiling-mounted FMCW, IR-UWB and Wi-Fi radar for in-bedroom human activity monitoring and sleep interruption detection
- Inducing Task Models from Computer-Use Traces
- Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation
- Explainable Transformer Models for Clinical Prediction Tasks on Structured Electronic Health Records
- Inter-X++: A Comprehensive Benchmark for Multimodal Human-Human Interaction Analysis
- CalcSeg: Confidence-aware 3D Latent Context Curriculum Learning For Myocardial Scar Segmentation From Single-Stack LGE-CMRs
- Physical-Support Confidence Sets for Highly Coherent Dictionaries
- Dynamic Structural Causal Modeling for Sleep
- Inject, Align, Recover: Staged Post-Training for Retrieval-Free Document Knowledge Internalization
- Which Eviction Policy Should an LLM Cache Use? A Systematic Study Across Workloads, Capacities, and Encoders
- Catching the Rug: Early Prediction of Fraudulent Memecoins on Solana via Machine Learning
- DICS: Data-Informed Centroid Splitting for Decision Tree Classifiers
- Transfer Learning in Nonparametric Regression with Deep ReLU Networks
- QUASAR: A Quantum-Classical Neural Network for SAR Satellite Physical-Layer Authentication
- Growth Without Us: Machine Consumers, Corporate Circularity, and the Decoupling of GDP from Humanity after AGI
- Prompt-Conditioned Channel Attention for Hierarchical Feature Modulation toward Anatomy-Agnostic Segmentation
- Gravitational-wave parameter estimation with machine-learning generated surrogate waveforms
- InsufficiencyBench: Evaluating LLM legal advice on underspecified user queries
- Electronic Navigational Chart Change Classification
- Unwarping the Lens: A Physics-Grounded Approach to Video Glasses Removal
- Daedalus-150M: A Convolution-Attention Hybrid Designed for CPU Inference
- ContractScrub: A benchmark for final review of legal contracts
- MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use
- The Third Restructuring of Software Form: From the Three-Tier Architecture to Storage, Models, and Agents
- Multi-Method Causal Evidence Synthesis: Ranking Candidate Drivers by Convergent Cross-Method Evidence from Observational Data
- Decoding silent reading from non-invasive EEG
- Exact Algebraic Computation of Learning Coefficients for Two-Dimensional Singular Models
- A Standardized Framework for Machine Learning in Power System Protection
- Ask Self, Ask Others: Relation Is All You Need
- Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selection
- G3Ego: Gaze-Guided Graphs for Egocentric Action Understanding
- Artificial Intelligence for Workflow Analysis in Colorectal Surgery: A Multicentric, Cross-Procedural Development and Generalization Study
- FormalTCS: Benchmarking End-to-End Frontier Formal Theoretical Computer Science Research of Large Language Models
- PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women's Health
- DPC-Net: Dual-Prior Collaborative Network for All-in-One Image Restoration
- ID-VTG: Image-Disambiguated Video Temporal Grounding
- Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation
- When Text and Numbers Disagree: Evidence Arbitration in Large Language Models
- BeyondMasks: Evaluating Causal and Physical Consistency in Video Object Removal
- OenoBench: A Wine-Domain Benchmark for Knowledge-Grounded Evaluation of Large Language Models
- Structured Affinity for Unsupervised Visual Class-Incremental Memory in Deep Artificial Immune Networks
- HandMvNet: Real-Time 3D Hand Pose Estimation Using Multi-View Cross-Attention Fusion
- Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking
- SABET-QA: Temporal Knowledge Graph Question Answering
- V-REX: Efficient Specialist VLM Training for Veterinary X-Rays
- Gravity-aware partially calibrated absolute pose estimation from affine- or rotation-covariant features
- What You Can't See Is What You Learn: Slot-Selective Evidence Masking Favors Compositional Generalization in Shared-Genome Language-Model Societies
- On the Applicability of Safety Nets: A Safety-By-Design Solution for Certifying Neural Networks
- DecoVAE: a Lightweight Interpretable Trend-Seasonal VAE Framework for Efficient Probabilistic Time Series Forecasting
- End-to-end Early Classification of Time Series in Non-Stationary Environments
- An Inclusive and Lightweight Approach to Federated Continual Learning for Cultural Heritage
- From Street View Imagery to Street Quality Indicators: Vision Language Inference for the Suburban 15-minute City
- CLaST: Context-aware Contrastive VAE for Probabilistic Time Series Forecasting
- Systematic Evaluation of TabPFN-TS and Chronos-2 for Zero-Shot Heat Load Forecasting in District Heating Networks
- Contrastive Mixed Prompt Learning for Incomplete Multimodal Sentiment Analysis with Unseen Modality Combination
- ExPhy: A Benchmark for Explicit Physical Property Learning in Multi-Object Trajectory Forecasting
- Scale-Aware Pretraining of Time Series Foundation Models via Multi-Patch Token Alignment and Hybrid Masking
- Point-Based 3D Reconstruction from Sparse Views under Known Illumination
- Green BOA: Determining the environmental break-even point for ML-based data compression
- STEP: Score-Based Temporal Energy for Human Pose Video Anomaly Detection
- HealMed: Multilingual Evaluation of Large Language Models in Medicine
- Open-Vocabulary 3D Object Detection with Co-Distillation Discovery and Dual Guidance Robust Training
- Robust Incomplete Multimodal Sentiment Analysis via Iterative Proxy Correction
- PVRA: A Pointwise Key-point Voting Framework for Robotic Assembly
- Rethinking Patch Based Multivariate Time Series Forecasting with Semantic Structured Partitioning
- G-MARK: Grounded Multi-Agent Reasoning for Cooperative Driving via Knowledge Graphs
- Natural Language Code Retrieval for 1C:Enterprise: An Open Benchmark and Efficient Bi-Encoder
- Learning Early-to-Final Solution Consistency for MILP Acceleration
- Designing Human-mediated AI Guidance: Ready Together for Personalized Family Emergency Preparedness
- Dynamic Gated Cross-Modal Fusion with Sarcastic-aware Contrastive Regularization for Multimodal Sarcasm Detection
- From Noise to Signal: Improving Security Log Anomaly Detection Using LLMs with Endpoint-Specific Logs
- Towards Quantifying Benchmark Optimization in ASR Models
- A Strong Linear Baseline for Whole-Heart Cardiac Shape Completion on CT, with an Open Eleven-Structure Statistical Shape Model
- Auditing Recorded Predictive Lead Service-Line Classifications Against Physical Verification: A Statewide Study of New York
- Learning how to Forget: Fine-tuning for Long-Context Sparse Attention
- Multi-Source Wasserstein Distributionally Robust Graph Learning
- A Layered Simplex Architecture for Large Alphabets
- Spike-based Belief Propagation in Nonlinear Dynamical Systems
- PETA:Parameter-Efficient Test-Time Adaptation for Virtual Screening
- Where Does the Union Bound Go? Best-Arm Identification and Strong FWER Control
- AvatarDynamizer: From Static to Dynamic Human Avatars via Generative Dynamic Textures
- The impact of feature engineering and an optimisation framework for ocean colour machine learning
- Unified and Efficient Point-Line Local Features
- Interrupting the Loop: Periodic Subject Changes Raise Judged Surprise and Connection in Base Language Models
- Reliable Neural Collapse Approximation for Open-World Test-Time Adaptation
- Evidence Before Expansion: Reuse, Spawn, or Defer in Lifelong Expert Pools
- Separating Covariate Shift from Mechanism Change with Two Discriminators: CJSD, a Conditional Discrepancy with an Exact Covariate-Concept Decomposition
- TESTNAV: Pareto-Guided Search for Compositional Robustness Testing
- Interpretable Feature Learning for RF Fingerprinting via Polar MKANs
- A Repeated Measurements Approach to SoH Battery Modelling of Cyclic Aged Data in a Laboratory Environment
- A 360-Degree Vision Dataset for Learning Yaw Control on GPS-Denied Micro-UAVs in Disaster-Response-Relevant Environments
- Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners
- PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents
- AutoLumNet: Monotone Optimal Transport for Single-Shot Exposure Correction
- Online Test-Time Adaptation for Generalizable Dynamic Graph Anomaly Detection
- Inadvertent Context Leakage in Language Models
- Distributional Extrapolation for Interactions
- Specification-delta-driven data governance: an empirical study of the guillemotleftspec-deltaguillemotright as the unit of change in lakehouse data platforms
- Towards Clinically Faithful Medical Image Captioning via Enhanced Vision-Language Alignment
- Core-KAN: Continuous Vision Kernels with Kolmogorov-Arnold Networks
- When Saying No Makes Better Videos: Designing Dual Gatekeeping for Pedagogically Grounded AI Content Creation
- FAR-DPO: Feasibility-Aware and Robust Direct Preference Optimization for Cyclic Peptide Design
- Unsupervised Anomaly Detection Using Flow Matching on Tabular Data
- LoRA-GA2: Low Rank Adaptation with Multi-step Gradient Adaptive Alignment
- LLMs as Acquisition Policies for Finite-Pool Materials Optimization: A Controlled Study
- TT-net: Quantum Inspired Tensor Network Denoising in Conditional GANs
- MOSAIC: Modality-agnostic Spectral Alignment for Federated Image-level Weakly Supervised Tumor Segmentation under Client-specific Missing Modalities
- Learning piecewise-smooth dynamical systems
- Coupled Optimal Transport with Landmark Constraints
- Distilling Aggregate Mobility Statistics into a Language Model Policy for Post-Event Crowd Simulation
- CoToGrasp: Contact-Topology-Conditioned Dexterous Grasp Synthesis via Canonical Workspace Learning
- AsymFeX: A Symmetry-Driven Framework for Ischemic Stroke Segmentation Across Imaging Modalities and Stroke Stages
- skchange: Fast and Flexible Algorithms for Changepoint Detection
- Far from the Crowd: Scalable Self-Supervised Learning via Geographic Isolation
- Finite-Horizon Input-Output Dynamics of Minibatch Perturbations in AdamW
- GOAG: Generative and Object-Agnostic Grasp Planner for Dexterous Robotic Manipulation
- GenMatch: An End-to-End Generative Matching Framework for Micro-View Order-Dispatching in Ride-Hailing
- PersonalBench: Measuring the Authorship Gap in LLM Personalization
- Gallileo-4D: Frozen Backbone Ensemble for Dynamic 4D Reconstruction
- Learning to Beat: Phenotype-Guided Latent Flow with Regional Motion Priors for Biventricular Motion Synthesis
- RecPFN: Prior-Fitted Networks for In-Context-Based Recommendations
- StreamSoccer: Event-Driven Memory for Streaming Soccer Commentary
- Scale-Separated Conditioning for Style-Encoder-Free Diffusion Stylization
- Robust Cross-Modal Foundation Model Perception for Underwater Robots under Degraded Visual Conditions
- Loreley: Repository-Scale Program Evolution with Quality-Diversity Search
- Beyond Memory Majority: Latent-Source Reasoning for Multi-Agent Memory Arbitration
- RIPE++: Reinforced Keypoint Learning from Positive Pairs Only
- Learning Deterministic and Stochastic Forced Hamiltonian Systems
- Learning Hierarchical Skill Policies with Offline Quality-Diversity Reinforcement Learning
- Frequency-Aware Continual Learning for Smart Contract Vulnerability Detection with Large Language Models
- Escaping the Quicksand: A Call to Arms
- SAGE-XGBoost: Spatially Augmented Graph Embeddings--Machine Learning Framework for Natural Hazards Susceptibility Mapping under Data Scarcity
- The Asymmetric Harms of LLM Compression
- MUST-PET: MUltimodal Self-supervised learning across Tracers for whole-body PET/CT-based lesion segmentation
- Rationally Enriched Chebyshev Trunk Bases for DeepONet Surrogates of High P'eclet Entrance Transport
- PL-NBA: A Possession-level Universal Basketball Video Dataset Supporting Multiple Visual Understanding Tasks
- Time-Uniform Self-Normalized Concentration for Discounted Least Squares: Limits and Corrections
- S2GS: Structured Sparse Gaussian Streaming for Efficient Free-Viewpoint Video Reconstruction on Edge-IoT Devices
- TextRefine: Improving Textual Fidelity, Spatial Placement, and Glyph Rendering for Text Editing in Product Posters
- Complementary, Not Cumulative: Interaction Effects in Physics-Informed Neural Networks for Navier-Stokes Vortex Shedding
- Scientific Data Skills: Enabling Agent-Ready Scientific Data Services at Scale
- What Matters for Latent Actions in Robot Learning
- K"ahler landscapes for complex neural network descents and guarantees including a search and destroy of the Calabi-Yau manifold
- Mix&Fix-Net: A Dual-Stage Trajectory Prediction Model for AIS and Vision-Derived Vessel Data
- A Two-Stage Time-Aware Transformer for Short-Horizon AECOPD Risk Prediction
- DraftFM: A FoundationModel for Day-Zero Drafting in Magic: The Gathering
- Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion
- Reliable Financial Named Entity Recognition Under Domain Shift: Confidence Estimation and Selective Prediction
- Where Grounding Accuracy Lives on the IoU Curve: Label-Free Inference-Time Boundary Refinement
- Generating Diverse Personas for User Simulators to Test Interview Dialogue Systems
- Composition-Driven Phase Evolution in Sm-Doped BiFeO3 via Latent-Field Reconstruction of Atomically Resolved STEM Data
- Continuous Adversarial MeanFlow Transfer
- CVSD-Reg: Cross-Modal Visual Semantic Prior Distillation for Robust LiDAR Registration
- When Machines Speak: A Unified Generative Framework for Integrating Machine-Native Symbols into Pretrained Large Language Models
- Does Listening Matter? Backchanneling and Nodding in AI Clone
- LF-GICP: Parameter-Free Degeneracy-Aware LiDAR Odometry via a Voxel-Normal Localizability Field
- Hear2Act: Benchmarking When Prosody Should Change What an Assistant Does
- In Two Minds about Lifelong Learning: Exploring Hemispheric Redundancy and Specialisation in Neural Models
- Symposium: Trust via Auditable Records for Communities of AI Scientist Agents