Papers
Mon 29 Jun 2026
536 papers
- CARE: Causally-Aligned Reasoning Exploration for Medical Large Language ModelsLLM reasoning → Clinical and biomedical applications
- Decoupled Vision-Language System for Multimodal Understanding and GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- EditPPT: Faithful Long-Deck Slide Editing via Structured Tool-Using Multi-Agent with Dual-Modal ValidatorsLLM agents and tool use → Multimodal and embodied agents
- Does a Language Server Save Tokens for Coding Agents? A Measurement Methodology and Preliminary StudyLLM agents and tool use → Software engineering coding agents
- PIVOT: Preference-based Intervention Vectors for Pedagogical Tutor SteeringLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Autonomous Research Agents: A Survey of AI Scientists and the Verification GapLLM agents and tool use → Web, search, and research agents
- Memory Reward Inflation in Self-Improving LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Beyond Block Boundaries: Multi-Block Editing for Diffusion Large Language ModelsDiffusion models → Discrete and text diffusion +1
- TRE: Training-Free Hallucination Detection for Diffusion Language ModelsDiffusion models → Medical imaging and segmentation
- Preference-based Antibody Expression Ranking: Scaling with Large-scale Weak SupervisionLLM alignment / RLHF / preference optimisation → Preference optimization for molecular design
- SPINE: Bridging the Cyber-Physical Gap with Agentic AILLM agents and tool use → Multimodal and embodied agents
- ATM: CID-Brokered Pre-Write Admission for Multi-Agent Code Co-SynthesisLLM agents and tool use → Software engineering coding agents
- The Organizational Behavior of Agentic AI: Collective Intelligence in Human-Agent WorkflowsLLM agents and tool use → General LLM agent frameworks and benchmarks
- AgRefactor: Self-Evolving Agentic Workflow for HLS Compatibility and PerformanceLLM agents and tool use → Software engineering coding agents +1
- Quality-Aware Modulation for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Behavior Cloning is Not All You Need: The Optimality of On-Policy Distillation for Noisy Expert FeedbackOffline RL and imitation learning from data → Imitation learning methods +1
- Investigating Multi-Agent Deliberation in LawLLM agents and tool use → Social simulation and multi-agent debate
- How Human Feedback Shapes AI-generated Community NotesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Curvature-Guided Module Localization for Low-Rank Detoxification of Backdoored Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- Sampling-Based Coordination-Informed Multi-Objective Multi-Robot Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Training Therapeutic Judges and Multi-Agent Systems for Human-Aligned Mental Health SupportLLM agents and tool use → Medical and scientific domain agents
- A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process ControlLLM agents and tool use → General LLM agent frameworks and benchmarks
- When Does Learning to Stop Help? A Cost-Aware Study of Early Exits in Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Test-Time Verification for Text-to-SQL via Outcome Reward ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- SyncCache: Exploiting Asymmetric Dynamics for Fast Audio-Driven Portrait AnimationDiffusion models → Audio, speech and music
- Contrastive Reflection for Iterative Prompt OptimizationLLM agents and tool use → Web, search, and research agents
- Joint Chance Constrained Safe-Optimal ControlDeep reinforcement learning methods → RL theory and sample complexity
- Towards Knowledge Alignment in Code LLMs: Contrastive Unlearning for Evolving APIsLLM safety and security → Machine unlearning
- Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial PerturbationsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Simple Supervision Is Hard to Beat: A Bitter Lesson from Sparse Target Labels in Domain-Adaptive Object DetectionKnowledge distillation → Detection and dense prediction distillation
- Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection DefenseLLM safety and security → Prompt injection and agent security
- Diffusion-warm sampling of the XY model enables fast thermalization at scaleDiffusion models → Diffusion foundations and sampling
- Understanding and Evaluating Claw-like Agent Security Through a Computer-Systems LensLLM agents and tool use → Agent threats, guardrails and governance
- Vision-Language Procedural Reasoning for Context-Aware Reward Modeling of Robotic Endovascular Guidewire NavigationLLM reasoning → Clinical and biomedical applications
- ViTL: Temporal Logic-Guided Zero-Shot Natural Language Navigation via Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Self-Evolving World Models for LLM Agent PlanningWorld models → World models for language agents +2
- GROW2: Grounding Which and Where for Robot Tool UseLLM agents and tool use → Multimodal and embodied agents
- Pessimism's Paradox: Conservative Offline Training Amplifies Reward Hacking During Online Adaptation in Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning +1
- DOPD: Dual On-policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B AgentLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Sequential Planning via Anchored Robotic KeypointsVision-language-action models → Failure recovery and robustness
- C2R: Cross-sample Consistency Regularization Mitigates Feature Splitting and Absorption in Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- The Fundamental Limits of Valid Transport Map EstimationDiffusion models → Flow matching, time series and science
- SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding SessionsLLM agents and tool use → Software engineering coding agents
- A Multi-task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family AttributionMixture-of-experts → Expert routing strategies
- Forensic Trajectory Signatures for Agent Memory Poisoning DetectionLLM agents and tool use → Agent threats, guardrails and governance
- TraceLab: Characterizing Coding Agent Workloads for LLM ServingLLM agents and tool use → Software engineering coding agents +1
- Linguistic Firewall: Geometry as Defense in Multi-Agent Systems RoutingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought SupervisionLLM reasoning → Spatial and embodied reasoning +2
- MAS-Lab: A Specification-Driven Validation Framework for Reliable Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Learning from Mistakes: Rollout-Retrieval Lifelong Policy Learning for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Entity Binding Failures in Tool-Augmented AgentsLLM agents and tool use → Tool learning and function calling
- μFlow: Leveraging Average Images for Improving Generalisation of Deepfake Faces DetectorsDiffusion models → Image generation, text-to-image and editing
- The Illusion of Agentic Complexity in README.md Generation: Evaluating Single-Agent vs. Multi-Agent RAG SystemsRetrieval-augmented generation → RAG for code +1
- Staged Hybridisation for Visual Quantum Reinforcement Learning via Knowledge DistillationKnowledge distillation → Graph neural network distillation +1
- Regime-Aware Peer Specialization for Robust RAG under Heterogeneous Knowledge ConflictsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- On the Faithfulness of Post-Hoc Concept Bottleneck ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- MuonSSM: Orthogonalizing State Space Models for Sequence ModelingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Vision-Language-Action Models: Experimental Insights from a Real-World UR5 PlatformVision-language-action models → Generalist VLA models and benchmarks
- Collective cooperation without individual fidelity in LLM agentsLLM agents and tool use → Social simulation and multi-agent debate
- Internal-State Probes Read the Situation, Not the Action: Three Negative Results for Pre-Action Misalignment MonitoringLLM agents and tool use → Agent threats, guardrails and governance
- When Does Online Imitation Learning Help in LLM Post-Training? The Role of (Non-)Realizability Beyond HorizonOffline RL and imitation learning from data → Imitation learning methods +1
- OWMDrive: Causality-Aware End-to-End Autonomous Driving via 4D Occupancy World ModelWorld models → World models for autonomous driving +1
- Experience Augmented Policy Optimization for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Beyond Point Estimates for Glaucoma Visual Field Forecasting with Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Diffusion Fine-tuning with Rewarded Moment Matching DistillationDeep reinforcement learning methods → RL with diffusion and flow models
- MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-TrainingKnowledge distillation → On-policy and self-distillation for LLMs
- Energy-Aware Scheduling for Serverless LLM Serving on Shared GPUsEfficient LLM inference and serving → Serving systems and request scheduling
- OmniCoT: A Benchmark for Global and Multi-Step Panoramic ReasoningLLM reasoning → Spatial and embodied reasoning +1
- FlowAWR: Online Adaptive Flow Reinforcement via Advantage-Weighted RectificationDeep reinforcement learning methods → RL with diffusion and flow models
- MUSE: Unlocking Timestep as Native Task Steering for One-Step Dense PredictionDiffusion models → Diffusion foundations and sampling
- FutureNav: Unified World-Action Modeling for Vision-and-Language NavigationWorld models → World models for navigation
- CouCE: A Unified Causal Framework for Debiased Deep Metric LearningLLM safety and security → Machine unlearning
- DRIFT: Difficulty Routing Self-DIstillation with Rhythm-Gated Exploration and Success BuFfer TrainingKnowledge distillation → On-policy and self-distillation for LLMs
- REAR: Test-time Preference Realignment through Reward DecompositionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- UniGP: Taming Diffusion Transformer for Prior-Preserved Unified Generation and PerceptionDiffusion models → Image generation, text-to-image and editing
- MCP Server Architecture Patterns for LLM-Integrated ApplicationsLLM agents and tool use → Agent threats, guardrails and governance
- Toward an Energy-Optimized Operation of Data Centers Located in Wind Farms Using Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
- The Surprising Effectiveness of Video Diffusion Models for Hand Motion ReconstructionDiffusion models → Diffusion and flow policies for robotics
- ManimAgent: Self-Evolving Multimodal Agents for Visual EducationLLM agents and tool use → Multimodal and embodied agents +1
- DreamForge-World 0.1 Preview: A Low-Compute Real-Time Controllable World ModelWorld models → Video-generation world models and simulators
- VisReflect: Latent Visual Reflection for Fine-Grained Perception in Long Visual ContextMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Towards Continual Motion-Language Agents: LoRA Variants for Incremental Motion Understanding and GenerationLLM agents and tool use → Multimodal and embodied agents
- When Is a Draft Accepted? A Theory of Acceptance in Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Defending Against Harmful Supervision Hidden in Benign SamplesLLM safety and security → Safety alignment, refusal and guardrails
- Intermediate Text Representation Guided Text-to-Image Generation for Enhancing One-and-Only AlignmentDiffusion models → Image generation, text-to-image and editing +1
- Multi-Agentic System Leveraging Open-Source LLMs to Mitigate Disinformation ThreatsLLM agents and tool use → Web, search, and research agents
- TACO: Tool-Augmented Credit Optimization for Agentic Tool UseLLM agents and tool use → Multimodal and embodied agents
- Your Data Manifold is Secretly a Reward Model: Shell-LCC for Text-to-Video GenerationDiffusion models → Video generation +1
- Grounding LLM Reasoning under Incomplete Graph EvidenceLLM reasoning → Knowledge- and tool-augmented reasoning
- Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific CollaborationLLM agents and tool use → Web, search, and research agents
- Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual ReasoningLLM reasoning → Multimodal reasoning +1
- SHOVIR: A Benchmark for Evaluating Vision Shortcut Learning in Radiology Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- Domain Adaptation with Adaptive Imagination for Visual Reinforcement Learning under Limited Target DataDeep reinforcement learning methods → RL for robot locomotion and manipulation
- DAIN: Dynamic Agent-Based Interaction Network for Efficient and Collaborative Multimodal ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Dynamo: Dynamic Skill-Tool Evolution for Vision-Language AgentsLLM reasoning → Multimodal reasoning +2
- Latent Noise Mask for Reducing Visual Redundancy in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- T2LDM++: A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene GenerationWorld models → World modeling from LiDAR generation +1
- Query-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
All 536
- Does Verbose Chain-of-Thought Really Help? In-Distribution Evidence that Content, Not Length, MattersLLM reasoning → Prompting and chain-of-thought reasoning
- SciIR: A Large-scale Training Dataset and Benchmark for Scientific Image Reasoning GenerationLLM reasoning → Multimodal reasoning
- On the Internet, Nobody Knows You're an LLM Bot: Unmasking Web Agents with Multi-Layer FingerprintingLLM agents and tool use → Agent threats, guardrails and governance
- Open Problems in Constitutional Preference ReconstructionLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- SA-VLA: State-aware tokenizer for improving Vision-Language-Action Models' performanceVision-language-action models → Efficient VLA inference and adaptation
- Efficient Retrieval-Augmented Generation via Token Co-occurrence GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Hierarchical Reinforcement Learning in StarCraft Micromanagement with Influence Maps and Cluster-based ScriptsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Discard the Dross and Select the Essential: Pre-query Sample Selection for Black-box Membership Inference AttacksLLM safety and security → Membership inference attacks
- Little Brains, Big Feats: Exploring Compact Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
- Notes on generative modeling: flow matching, diffusion, optimal transport and Schr"odinger bridgeDiffusion models → Flow matching, time series and science
- Building Multi-Task Agentic LLMs via Two-Phase DistillationLLM agents and tool use → Reinforcement learning for LLM agents +1
- LLM Agents Are Latent Context Managers: Eliciting Self-Managed Context via State ProprioceptionLLM agents and tool use → Agent memory systems
- HBM Is Not All You Need: Efficient Disaggregated LLM Serving across Memory-heterogeneous AcceleratorsEfficient LLM inference and serving → Serving systems and request scheduling
- Are We Measuring Strategy or Phrasing? The Gap Between Surface- and Approach-Level Diversity in LLM Math ReasoningLLM reasoning → Mathematical reasoning
- Be Faithful When Response: Returning Fluent and Grounded Answers for Vision-Language Models Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- Beyond Uniform Experts: Cost-Aware Expert Execution for Efficient Multi-Device MoE InferenceMixture-of-experts → Efficient MoE training and inference systems
- Exploration and Online Transfer with Behavioral Foundation ModelsDeep reinforcement learning methods → Deep RL algorithms and representations
- NeuReasoner: Theory-grounded Mapping of Reasoning Elicitation BoundariesLLM reasoning → Reasoning benchmarks and evaluation
- RiverONE: Generating Knowledge-Intensive VLM by Simulated Quantum MachinesMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Variance Reduction on the Camera Axis: Multi-View Score Distillation for 3DDiffusion models → 3D, point cloud and scene generation
- DuoMem: Towards Capable On-Device Memory Agents via Dual-Space DistillationLLM agents and tool use → Agent memory systems
- Know Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- SWE-Together: Evaluating Coding Agents in Interactive User SessionsLLM agents and tool use → Software engineering coding agents
- SpreadsheetBench 2: Evaluating Agents on End-to-End Business Spreadsheet WorkflowsLLM agents and tool use → Financial trading and forecasting agents
- OpenSPM: An Environment-Transferable Robotic Key Spatial Pose Memory and Closed-Loop High-Frequency Flow-Matching Action Generation ModelDiffusion models → Diffusion and flow policies for robotics
- RoamFlow: Reinforcement-Aligned One-Step Action MeanFlow Policy for Image-Goal NavigationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Towards Physical Intuitions for Alignment Dynamics: A Case Study With Randomness CrystallizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- SAGA: Scene-Aware, Goal-Evolving Agents for Long-Horizon Strategy Game PlanningLLM agents and tool use → Reinforcement learning for LLM agents
- HippoSpark: An On-Demand Experience System for LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- Can LLM-as-a-Judge Reliably Verify Rubrics in Agentic Scenarios?LLM agents and tool use → General LLM agent frameworks and benchmarks
- H-GRPO: Permutation-Invariant Reinforcement Learning for Grounded Visual ReasoningLLM reasoning → Multimodal reasoning +1
- MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory EvaluationLLM agents and tool use → Agent memory systems
- Pondering the Way: Spatial-perceiving World Action Model for Embodied NavigationWorld models → World models for navigation
- Timesteps of Mamba Align with Human Reading TimesState-space sequence models (S4, Mamba) → Core SSM architectures for language
- SABER-Math: Automated Benchmark for Information Retrieval Evaluation in MathematicsLLM agents and tool use → Educational agents and math problem solving
- Trust Your Instincts: Confidence-Driven Test-Time RL for Vision-Language-Action ModelsVision-language-action models → Reinforcement learning and post-training +2
- Same Concept, Different Directions: Cross-Modal Feature Heterogeneity in Sparse AutoencodersMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- SafePyramid: A Hierarchical Benchmark for In-context Policy GuardrailingLLM safety and security → Safety alignment, refusal and guardrails
- IREU: Identity-Related Encoder-Only Unlearning for Customized Portrait GenerationLLM safety and security → Machine unlearning
- LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous DrivingWorld models → World models for autonomous driving +3
- Clinical Reasoning Graphs: Structured Evaluation of LLM Diagnostic Reasoning Reveals Competence Without ConsistencyLLM reasoning → Clinical and biomedical applications
- ARKD: Adaptive Reinforcement Learning-Guided Bidirectional KL Divergence Distillation for Text GenerationKnowledge distillation → Knowledge distillation for LLMs
- RoAd-RL: A Unified Library and Benchmark for Robust Adversarial Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- KbSD: Knowledge Boundary aware Self-Distillation for Behavioral Calibration in Agentic SearchLLM agents and tool use → Web, search, and research agents +1
- Active Learning for Channel Knowledge Map Construction via Bayesian Inference Diffusion ModelsDiffusion models → Diffusion for compression and wireless
- See Only When Needed: Context-Aware Attention Intervention for Mitigating Hallucinations in LVLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Theory of Continual Learning Against Data Poisoning AttacksLLM safety and security → Backdoor and data poisoning attacks
- Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired TargetsKnowledge distillation → On-policy and self-distillation for LLMs
- The Forgetting-Retention Dilemma: Certified Unlearning Theory in Continual LearningLLM safety and security → Machine unlearning
- HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor ScenesDiffusion models → 3D, point cloud and scene generation
- Neural Procedural Memory: Empowering LLM Agents with Implicit Activation SteeringLLM agents and tool use → Agent memory systems +1
- Experience Graphs: The Data Foundation for Self-Improving AgentsSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Dual-Flow Reinforcement Learning with State-Aware ExplorationDeep reinforcement learning methods → RL with diffusion and flow models
- Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image SynthesisDiffusion models → Diffusion foundations and sampling
- Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal ReasoningLLM reasoning → Multimodal reasoning
- Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training FrameworkMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Rethinking Forgery Attacks on Semantic Watermarks in Black-Box Settings: A Geometric Distortion PerspectiveDiffusion models → Robustness, privacy and adversarial aspects
- Accelerating Q-learning through Efficient Value-Sharing across ActionsDeep reinforcement learning methods → Deep RL algorithms and representations
- Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination MitigationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Concept Removal Guidance: Evidence-Calibrated Negative Guidance for Safe Diffusion SamplingDiffusion models → Robustness, privacy and adversarial aspects +1
- The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world modelsWorld models → World models for language agents
- MemLeak: Diagnosing Information Leaks in Multimodal Agent MemoryLLM agents and tool use → Agent memory systems
- Mandol: An Agglomerative Agent Memory System for Long-Term ConversationsLLM agents and tool use → Agent memory systems
- Analytic Concept-Centric Memory for Agentic Embodied ManipulationLLM agents and tool use → Multimodal and embodied agents
- CLQT: A Closed-Loop, Cost-Aware, Strategy-Consistent Benchmark for Diagnostic Evaluation of LLM Portfolio-Management AgentsLLM agents and tool use → Financial trading and forecasting agents
- Do Recommendation Algorithms Work When Users Are LLM Agents? A Case Study on MoltbookLLM agents and tool use → Agentic recommender systems
- GoodDiffusion: Proactive Copyright Protection for Diffusion Bridge Models via Learnable Sample-specific SignaturesLLM safety and security → Watermarking generated content and models
- PS-PPO: Prefix-Sampling PPO for Critic-Free RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- DEEPMED Search: An Open-Source Agentic Platform for Medical Deep Research with Introspective VerificationLLM agents and tool use → Medical and scientific domain agents
- MicroAgent: Context-Augmented Multi-Agent Framework for Automatic Microservice DecompositionLLM agents and tool use → Software engineering coding agents
- DeepTrans Studio: Turning Expert Interventions into Shared Team Knowledge in Agentic Translation WorkflowsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Simplifying Flow Matching Transformations with Low-Rank Mixture ModelsDiffusion models → Flow matching, time series and science
- A Diagnostic Framework and Multi-Evaluator Audit of Evaluator-Driven Preference Dynamics in Self-Adapting LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SEVA: Self-Evolving Verification Agent with Process Reward for Fact AttributionLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered CompressionLLM reasoning → Test-time compute and efficient thinking
- ARMOR: Adaptive Retriever Optimization for Low-Resource Telecom Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated ScreenshotsLLM agents and tool use → GUI and mobile agents
- Toward Secure and Reliable PDDL Formalization of Large Language Models with Planner-in-the-Loop FeedbackLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Can MLLMs Critique Like Humans? Evaluating Open-Ended Aesthetic Reasoning in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- How LLMs See Creativity: Zero-Shot Scoring of Visual Creativity with Interpretable ReasoningLLM reasoning → Multimodal reasoning +1
- Counterfactual Fragility Certificates: Exposing High-Confidence Brittleness under Structured Evidence Failure
- Leveraging Generative AI to Design Accessible Interactive Visualizations for Undergraduate Mathematics: A Six-Phase Workflow
- Towards Interpretable Depression Detection: Linking Acoustic Features to DSM-5 Indicators
- Infrared Hotspot-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Under Mechanical Abuse
- Interpretable Information-Decomposed Brain Graph Learning for fMRI-based Disease Diagnosis
- Accurate Decoding of Natural Sentences from Non-Invasive Brain Recordings
- How sensitive do we want AI to be? Socio-communicative competencies of large language models in healthcare
- World Simulator: Queer Erotica and the Absurdity of AI Video Models That Promise the World
- CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs
- Retrieval, not hallucinations, will be the limiting factor for LLM-based clinical AI tools
- CuraWeb: Joint Optimization of Quality, Redundancy, and Diversity for Web-Scale Pretraining Data
- Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models
- Beyond Output-Space Calibration: Spectral Evidence Bundling for Selective Reliability Estimation in Time-Series Classification
- FALCON-Discover: Discovering Concentrated False-Confidence Regions for Calibration
- Structure of the Circular-Dyadic Convolution Error
- Coordinate Singularities Break Conformal Coverage for Gaze and Head Pose
- From Raw Segmentations to Simulation-Ready Cardiac Meshes: An Automated Framework for Anatomical Reconstruction and Virtual Cohort Generation
- Fast approximation and learning of binary classification tasks in o-minimal structures using ReLU neural networks
- Prompting GPT-5 on Scrum Certification Questions: An Empirical Accuracy Study
- Comparing Large Language Models on Scrum Certification-Style Questions: Accuracy, Stability, and Error Patterns
- Vertigo Vertigo: Reconstructing a Cinematic Ideal through its Predictive AI Double
- Destination-Labeled Self-Looping Systems with Dwell: Intrinsic Characterization, Realization Cost, and Recognition
- Measuring Judgment Quality in Natural-Language Explanations: Evidence from Forecasting Tournaments
- When Regulation Has Memory: Hysteresis and Control Burden in Artificial Agency
- From Propositional to Perceptual Asymmetry: Extending Frictive Policy Optimization to Asymmetric Partial Information Dialogue
- Behavioral Governance for Autonomous AI Agents: The AgentBound Framework
- PhotoQuilt: Training-Free Arbitrary-Resolution Photomosaics via Bootstrapped Tiled Denoising
- HyPOLE: Hyperproperty-Guided Multi-Agent Reinforcement Learning under Partial Observation
- Loc2Repair: A Framework for Evaluating the Impact of File-Level Issue Localization in Repo-Level LLM Repair
- ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table
- Exponential-Family Tensor Completion via Nonconvex Dual Total-Variation Regularization
- Linguistic Distancing on Social Media: Indicators of Emotion Regulation Across Age Groups
- Neuro-Bayesian-Symbolic Residual Attention Shallow Network: Explainable Deep Learning for Cybersecurity Risk Assessment
- Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-Ultrasound Prostate Cancer Detection
- Bridging Scientific Heritage: An Arabic--Russian Parallel Corpus and LLM Benchmark for Sustainable Knowledge Transfer
- Motion Planning in Compressed Representation Spaces
- No Adaptation Without Observation: Observability-Constrained Test-Time Prompt Tuning for LiDAR Semantic Segmentation
- Physics-informed Conditional Normalizing Flows for Angles-only Cislunar Orbit Determination
- ShardNet: Training Neural Controllers with Hard, Non-Convex Constraints
- Personalizing Marketplace Policies with Competing Objectives and Constrained Experiments: Evidence from a Job Marketplace
- RoPoLL: Robust Panel of LLM Judges
- SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates
- Conditional Tropical Cyclogenesis Rates via Rare-Event Sampling in a Neural Weather Emulator
- Budget-Adaptive Routing: Skipping the Weak When the Strong Answers Anyway
- Beyond Clean Text: Evaluating Encoder and Decoder Robustness for Bangla Event Detection in Noisy Text
- Why Solve It Twice? Hierarchical Accumulation of Skills for Transfer-Efficient ML Engineering
- Structure-Regularized Interpretable TCR-Epitope Prediction
- GRAPE: Graph-Augmented Prototype Explanations for Interactive Medical Image Diagnosis
- Knowledge-Driven Dimension Estimation from a Single Image -3D Asset Generation Technology for Digital Twin Construction
- Dynamic Prediction of Alternating Recurrent Events via Neural Network
- The Label Imitation Game: Turing Test Network for Zero-Shot Pseudo-Label Pruning
- Beyond expert users: agents should help users construct preferences, not just elicit them
- Multilingual Polarization Detection Using Transformer-Based Models with Class Weighting and Threshold Tuning
- BayesBench: Evaluating LLM Belief Trajectories Under Multi-Turn Evidence Accumulation
- How Can AI Find My Model? A Model-Finding Experimental Study Considering Data Formats, Embeddings, and Retrieval Strategies
- A Transferable Learned Temporal Prior for Transmission Reconstruction and Decision-Relevant Uncertainty in Real Outbreak Labels
- A Stationary-Distribution Theory for Triplet-Based Plateau Search in Random Forest Ensemble-Size Selection
- Partition-Guided Distance Saliency: Bridging Decision and Objective Spaces in Many-Objective Optimization
- Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product
- Information Terra: A Narrative-Anchored Semantic-First Projection of Document Embeddings
- Separation Capacity of Scattering Networks
- Mind the Residual Gap: Probabilistic Downscaling under Real-World Bias
- AI-Generated PowerShell Malware: An Experimental Framework and Dataset
- When transformers learn "impossible" languages, what do they learn?
- When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs
- Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization
- AVTok: 1D Unified Tokenization for Holistic Audio-Video Generation
- GaussLite: Online Task-Conditioned 3D Gaussian Splatting for Real-Time Robotic Mapping
- Using AI Agents to Automate Black-Box Audits of Personalization Algorithms at Scale
- Indi-RomCoM: Code-Mixed Benchmark for Evaluating LLMs on Romanized Indic-English Instructions
- Predictable GRPO: A Closed-Form Model of Training Dynamics
- Revocable Learned State via Process Sidecars
- Detecting Audio Deepfakes on the Edge:Lightweight SSL-Based Detection in a Browser Plugin
- ReactionAtlas: Ab origine exploration of chemical reaction networks with machine learning
- Unveiling Transferability in Trajectory Prediction via Latent Scene Embeddings
- A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization
- What Drives Interactive Improvement from Feedback?
- Streaming Gaussian Encoding for 4D Panoptic Occupancy Tracking
- Hierarchical Global Attention (HGA)
- Why Do Few-Step Text Latents Fail When Image Latents Work? Non-Commitment at Sharp Categorical Readouts
- From Search to Synthesis: Training LLMs as Zero-Shot Workflow Generators
- Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification
- An AI-Based Solution for Secure Service Provisioning in IoT
- BEST-RQ-2: Contextualize-Then-Predict, a Two-Step Approach for Self-Supervised Audio Representations
- Joint discovery of governing partial differential equations from multi-source datasets by competitive optimization
- LUMOS: A Semantic Operating-System Layer for Accessibility-Grounded AI Agents
- Modeling Cell-Cycle-Aware Single-Cell Drug Perturbation Responses
- DSIP: A Dynamic Coordination Planner for Signal-Free Intersections using Diffusion-Model-Based Multi-Agent Motion Planning
- VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes
- LeVo 2: Stable and Melodious Song Generation via Hierarchical Representation Modeling and Progressive Post-Training
- Open-Vocabulary and Referring Segmentation for 3D Gaussians Using 2D Detectors
- One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining
- Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms
- Reweighting Framewise Attention in Video Transformers for Facial Expression Understanding
- UnfoldArt: Zero-Shot Recovery of Full Articulated 3D Objects from Text or Image
- Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing
- Towards in-the-wild Egocentric 3D Hand-Object Pose Estimation
- Learning from Reliable Latent Prompts for Visual Recognition with Missing Modalities
- Wireless Backdoor Attack and Defense for Semantic Communications over Multiple Access Channel
- Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection
- A Hybrid Framework For Crypto-Ransomware Detection In Enterprise Shared Storage
- Uncertainty-Aware Generation and Decision-Making Under Ambiguity
- APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms
- Beyond 2D Matching: A Unified Single-Stage Framework for Geometry-Aware Cross-View Object Geo-Localization
- Attractor States Emerge in Multi-Turn LLM Conversations
- Morphing into Hybrid Attention Models
- The Human Creativity Benchmark
- Convergence of Continual Learning in Homogeneous Deep Networks
- EcoVideo: Entropy-Orchestrated Video Generation Paradigm in Cloud-Edge Dynamics
- Poller: Are LLMs Suitable for Evaluating the Poetry Understanding Task?
- Bridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular Simulations
- To Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checks
- StereoGS: Sparse-View 3D Gaussian Splatting via Stereo Priors
- Latent Actions from Factorized Transition Effects under Agent Ambiguity
- TRACE: Temporal Relationship-Aware Conversational Entrainment Detection in Dyadic Speech
- Orca: The World is in Your Mind
- ITSPACE: Monotone Gaussian Optimal Transport Updates
- HASTE: A Framework for Training-Free, Dynamic, and Steerable Compression of Pre-Trained Convolutional Neural Networks
- 3D Scene-Adaptive Trajectory-Controllable Human Image Animation with Camera Movement
- Informational Frustration in Neural Manifolds: Shannon Bottlenecks and the Limits of Learnability
- High-Resolution Flood Mapping With Sentinel-1 and Sentinel-2 via Misalignment-Robust Cross-Sensor Learning and Generative Despeckling
- Muon learns balanced solutions in matrix factorization without slow saddle-to-saddle dynamics
- Doubly Robust Adaptive Conformal Inference for Causal Effects Under Temporal Dependence
- Discovering Collaboration from Novelty: Random Network Distillation for Clustered Federated Learning
- GPU Parallelization Strategies for Forward and Backward Propagation in Shallow Neural Networks: A CUDA-Based Comparative Study
- McMg: A Learned Phase-Space Multi-channel Multigrid Preconditioner for Helmholtz Equation
- RBE-Flow: Recurrent Bayesian Estimation on Feature Manifolds for Cross-Modal Registration
- SIMAX: A Scalable and Interpretable Framework for Multi-Fidelity and Annotated Clinician-Patient Dialogue Simulation
- Factorizable Normalizing Flows for parameter-dependent density morphing
- Situation Perception: A Necessary Primitive to Artificial Superintelligence
- COHORT: Collaborative Orchestration for Hardening via Offensive Replay on Emulated Topologies
- PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation
- PS-MOT: Cultivating Instance Awareness from Point Seeds for Multi-Object Tracking
- Field Order Should Not Matter: Permutation-Invariant Embedding Model Fine-Tuning for Structured Metadata Retrieval
- FR-DETR: Frequency and Recurrent Feature Refinement for Robust Object Detection under Adverse Weather
- Non-parametric recovery of causal diffusion mechanisms from steady-state observations
- HSAP: A Hierarchical Sequence-aware Parallelism for Hybrid-Context Generative Models
- Cross-Resolution Semantic Transfer for Robust Text-to-Image Retrieval in Low-Resolution Surveillance
- Curvature-Weighted Gradient Diversity: A Noise Measure for Geometry-Adaptive SGD Schedules
- Exploring Differences Between Tabular Enterprise Data and Public Benchmarks
- SGD Provably Prioritizes a Shortcut Spurious Feature in the XOR Model
- The FIL Hypothesis: Inductive Biases Help with Kernel Engineering
- Translating Natural Language to Strategic Temporal Specifications via LLMs
- Transformer Architectures as Complete Bayes Processes: A Formal Proof in the Measure-Theoretic Kernel Framework
- Robust and Efficient Monocular 3D Gaussian SLAM for Kilometer-Scale Outdoor Scenes
- CAN We Trust Your Results? A Cross-Dataset Study of Automotive IDS Evaluation
- Arko-T: A Foundation Model for Text-to-Structured 3D Generation
- Proofs of Ownership for Machine Learning Models
- Can LLMs Rank? A Tale of Triads and Triage
- Beyond IID: How General Are Tabular Foundation Models, Really?
- SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios
- ENC-ODE: Event-level Neurodegenerative Modeling in Continuous Time with Neural ODEs
- Model Predictive Current Control with Harmonic Correction for Single-Phase AC-DC EV Charging
- Uncovering Salience-Driven Dynamics in Consumer Confidence with Generative Social Simulation
- SADL: What to Ignore? A Benchmark for Subject-Aware Distractor Localization
- Predict, Reuse, and Repair: Accelerating Dynamic Sparse Attention for Long-Context LLM Decoding
- A Stochastic--Geometric Theory of Scaling Laws in Grokking
- Scalar Representations of Neural Network Training Dynamics
- Whose Side Is Your Agent On? Multi-Party Principal Loyalty in LLM Agents
- RenderFormer++: Scalable and Physics-Informed Feed-Forward Neural Rendering
- Set-Inclusive Uncertainty Modeling for Robust Brain Tumor Segmentation
- Using Large Language Models as Low-Cost Statistical Estimators for Human-Response Data
- MaDI-Bench: An End-to-End Data Integration Benchmark
- ReactiveBFM: Reactive Closed-Loop Motion Planning Towards Universal Humanoid Whole-Body Control
- On the Vulnerability of Parameter-Level Defenses to Model Merging
- Learning the structure of open quantum systems
- OLIVE: View-Augmented Latent Prediction with Waveform Reconstruction for Speech SSL
- Residual-Guided Expert Specialization for Incomplete Multimodal Learning
- FastPano3D: Feed-Forward Indoor Panoramic 3D Reconstruction from a Single Image
- FFAvatar: Feed-Forward 4D Head Avatar Reconstruction from Sparse Portrait Images
- Early Cue Precision Shapes Visual Shortcut Learning in Controlled Cue-Manipulation Benchmarks
- A Classifier-Agnostic Zero-Shot Adversarial Attack Detection via CLIP
- Sequential Fairness Auditing with Limited Output Access
- FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks
- BayesEvolve: Explicit Belief States for Autonomous Scientific Discovery
- Local-Minima-Preserving Continuous Relaxation of Ising Problems
- Extrapolating from Regularised Solutions for Solving Ill-Conditioned Linear Systems in Machine Learning
- Hybrid Active-Online Learning Framework for Label-Efficient Concept Drift Adaptation in Optical Network Failure Detection
- Optimizing Image Preparation and Compression for Face Recognition within 1024 Bytes
- BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language
- Real-Time Underwater Image Enhancement via Frequency-Guided Dual-Path Attention
- TRACE: A Concept Bottleneck Model for Longitudinal 3D Glioblastoma Response Assessment
- DialogPII: A multilingual dataset of synthetic dialog transcripts to detect personal information
- Highly Data Parallelizable Estimation of the Sliced-Wasserstein Distance Using Cumulative Distribution Functions
- A Point Cloud Transformer for Remote Monitoring and Automated Assessment of Physical Rehabilitation Exercises
- Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents
- Research Entity Extraction and Topic Detection from UKRI Grant Proposals
- Rehearsed Multi-Agent Live Product Demonstrations with Real-Time Voice Question Answering
- PromptGNN-sim: Deep Fusion and Alignment of GNN and LLMs for Text-Attributed Graph Learning
- KnowsTFM: Knowledge-Informed Fine-Tuning of Small Tabular Foundation Models
- EMPATH: A Multilingual Auditor-Judge Benchmark for Safety Evaluation of Emotional-Support Chatbots
- Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoors
- Curvature-Guided Sheaf Diffusion for Unsupervised Community Detection on Heterophilic Graphs
- Semantic-Driven Scale and Spatial Selection for Efficient Cross-Modal Alignment in Referring Remote Sensing Image Segmentation
- Comparing Human and Automatic Recognition of Dutch Dysarthric Continuous Speech: A Case Study
- CaresAI at CT-DEB26: Detecting Dosing Errors In Clinical Trials Using Domain-Specific Transformer Embeddings and Classification Models
- A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems
- B3O: Scalable Boltzmann Batch Bayesian Optimization
- Characterizing Optimizer-Dependent Training Dynamics Through Hessian Eigenvector Displacement and Localization
- From Accuracy to Visual Dependence: Auditing and Filtering Modality Collapse in Traffic VideoQA
- EvalSafetyGap: A Hybrid Survey and Conceptual Framework for LLM Evaluation-Safety Failures
- Efficient RGB-T Object Detection via Sparse Cross-Modality Fusion
- A Multi Center Breast FNAC Whole-Slide Cytology Dataset for AI-Assisted Patch-Wise Classification Using C1 to C5 Reporting Categories
- The Many-Body Problem of the Data Centre
- Forewarned is Forearmed: When Non-Sequential Embedding Turns Into an Anomaly Detector
- From Detecting Agency to Doing Work: Self-Caused Credit Builds a Durable Behavioral Self in a Minimal Spiking Agent
- Few-Shot Domain Incremental Learning via Continual Vision-Language Consolidation
- DrivenMorph: Bridging Attention Mechanism and Variational Image Registration via Difference Modeling
- MirrorCode: AI can rebuild entire programs from behavior alone
- HiRes: A Hierarchical Cascaded Method for Resistor Value Identification
- CORTEX: High-Quality Cross-Domain Organization of Web-Scale Corpora through Ontological Corpus Graph
- Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark
- Federated Learning with Energy-Based Structured Probabilistic Inference
- A Dual-domain Refinement Network with FBP-based Jacobian Learning for Sparse-view Dual-Energy CT Material Decomposition
- Physically-Constrained Harmonic Separation for Robust Heart and Respiratory Rate Estimation from Wrist Photoplethysmography
- Estimating Grammatical Gender Directions in Contextual Embeddings under Controlled and Natural Contexts
- FacePlex: Toward Natural Full-Duplex Conversational Avatars
- DNA Language Models: An Assessment of Pre-Training for Fine-Tuning Tasks
- Warranted Attention: Learning What to Pass from Attention to Prediction
- Robust Strategic Classification under Decision-Dependent Cost Uncertainty
- Hyper-Network Neural Functional Maps for Unsupervised Robust 3D Shape Matching
- Gravitational Duals from Equations of State II: Large Hierarchies and False Vacua
- Automating the Design of Embodied Agent Architectures
- LETT-NeXt: A Lightweight RECIST-Guided Model for 3D CT Lesion Segmentation
- Structural Certification for Reliable Physical Design with Language Models
- Propagation of~Interval Belief Structures and~Imprecise Copulas for~Neural Network Verification
- Temporal Feature Extractors in EEG Foundation Models: A Controlled Comparison Including a Pretrained Time-Series Model
- SIR: Structured Image Representations for Explainable Robot Learning
- CylindTrack: Depth-Aware Cylindrical Motion Modeling for Panoramic Multi-Object Tracking
- Information Dynamics of Language Communication
- SAT-RTS: A systematic framework for tactical knowledge extraction and visualization-based analysis in real-time strategy games
- Tastes without distinction: silicon samples and the synthetic construction of tastes
- One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding
- Clinical Risk-Aware Multi-Level Grading for Coronary Artery Stenosis through Curved Feature Reconstruction
- Online Data Selection for Instruction Tuning via Gaussian Processes
- ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning
- Predictive Objectives Discard Exogenous Control-Relevant Features: A Controlled Mechanistic Study
- Neural Subspace Reallocation: Continual Learning as Retrieval-Based Subspace Memory Management
- Data-Driven Energy-Based Learning via Gibbs Measures on Hierarchical Structures
- From Failure Taxonomy to Intervention: A Diagnostic Methodology for Industry-Scale AVLM in Video and Live-Streaming Platform Moderation
- Emergence of a Shared Canonical Object Frame from In-the-Wild Videos
- Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation
- Bridging the Gap Between Image Restoration and Navigational Safety in Hazy Conditions: A New Visibility Estimation Metric for Maritime Surveillance
- Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes
- Walking in the Implicit: Interactive World Exploration via Neural Scene Representation
- Heads, Not Backbones: Output Heads Dominate Architectures on Fat-Tailed Returns
- Consensus Clustering of Free-Viewing Gaze Data: New Insights into Human-Information Interaction
- CogSENet: Blind Image Deblurring with Blur-Conditioned Semantic Routing and Explicit Frequency Fusion
- Cross-Modal Iteration Distillation for Robust IHD Screening: The IDNet Framework and A New Benchmark
- MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs
- IBRSteG: Learning a Generalizable Steganography Framework for 3D Gaussian Splatting
- Uncertainty Estimation in Pathology Foundation Models via Deep Mutual Learning
- OmniDance: Multimodal Driven Dance Video Generation with Large-scale Internet Data
- Monte Carlo Energy Aggregation for Mobile 3D Gaussian Splatting
- Parametric Skills
- Shell-Supervised Gaussian Splatting for Urban Real-to-Sim Reconstruction
- SkelEM: Training-Signal Decoupling of Skeleton and Diffusion for Self-supervised Axial Super-Resolution in Volume Microscopy
- T3R: Deeper Test-Time Adaptation for Graph Neural Networks via Gradient Rotation
- Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection
- GeoEdit: Geometry-Aware Object Editing via Dual-Branch Denoising
- SICAGE: Speaker-Independent Culture-Aware Gesture Generation using TED4C-L Dataset
- AlgoSkill: Learning to Design Algorithms by Scheduling Human-Like Skills
- Rigel: Self-Distilled Score Adaptation for Image and Video Captioning Evaluation
- Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping
- A multi-architecture study of specificity refinement and false-positive mechanism analysis in prostate MRI
- Learning Efficient 4D Gaussian Representations from Monocular Videos with Flow Splatting
- Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets
- First-Order Temporal Logic Tensor Networks
- Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors
- IHDec: Divergence-Steered Contrastive Decoding for Securing Multi-Turn Instruction Hierarchies
- Exploiting Local Flatness for Efficient Out-of-Distribution Detection
- Improved Predictive Performance and Interpretability for Mesomorphic Neural Networks Using Local Fidelity Regularization
- Data-Efficient Multimodal Alignment for Histopathology-based Molecular Prediction
- Diagnosing and Mitigating Retrieval Bottlenecks in LLM-Based Cold-Start Recommendation
- Scene-aware Prediction of Diverse Human Movement Goals
- Seeing Touch from Motion: A Unified Modality-Aware Visuo-Tactile Policy with Tactile Motion Correlation
- LatentRevise: Learning from Zero-Hit Reasoning
- Latent-CURE for Breast Cancer Diagnosis
- Bandwidth Selection in Kernel Density Estimation for Model Calibration
- DCGrasp: Distance-aware Controllable Grasp Generation
- EVAF: A Test-Retest Protocol for Selective Parametric Consolidation
- A causal modeling perspective on decision theory
- Traffic-CBM: A Structurally Interpretable Multimodal Framework for Encrypted Traffic Classification
- CW-B: Class Weighted Boosting Framework for Imbalance Resilient Multi Class Cardiac Phenotyping
- StrucTab: A Structured Optimization Framework for Table Parsing
- Semi-Supervised Sound Event Detection with Conditional Mixup and Embedding-Level Contrastive Loss
- LLM-based Multimodal Personality Recognition via Facial Action Unit-Text Semantic Fusion
- Critical Interval MSE: Toward Reliable Offline Validation for Robot Manipulation Policies
- Child-Centric Voice Anonymization in Single and Multi-Speaker Speech via Domain-Adapted SSL Models
- AdaGrad does not adapt to H"older-smoothness for composite objectives
- Golden Hour Divide: Trauma Care Accessibility and Resource Vulnerability in Sri Lanka
- Building artificial intelligence virtual tissue (AIVT) for tissue state representation, feature prediction, and dynamic simulation
- Decision-Value Attribution in Predict-then-Optimize Systems
- Implementation of Hyperelastic Physics-Augmented Neural Networks in the Explicit Finite Element Codes Simcenter Radioss and OpenRadioss with Applications to Impact Events
- Unveiling Novelty Evolution in the field of Library and Information Science in China
- AI Training Manager: Bounded Closed-Loop Control of Adaptive Training Recipes
- SUMO: Segment and Track Any Motion with Nonlinear State Space Models
- Beyond Triplet Plausibility: Relation Set Completion in Knowledge Graphs
- Exploring Motivations for Algorithm Mention in the Domain of Natural Language Processing: A Deep Learning Approach
- Smooth Scaling Laws Hide Stepwise Token Learning
- Comparing Chatbot Performance Enhanced with Persistent Homology
- RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs
- Efficient Visual Pointing for Embodied AI:Agent-Driven Data Synthesis, Cross-Block Attention, and Iterative Correction
- Bricker to BRACE: A Bracket Exposure RAW Dataset and Restoration Model for Flicker-Banding
- MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers
- Revealing the Technology Development of Natural Language Processing: A Scientific Entity-Centric Perspective
- A Sieve-Accelerated Quadrature Method for Exact Privacy Accounting in the 2020 U.S. Decennial Census
- Learning Cross-view Correspondences for Geo-localization on Planetary Surfaces
- SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models
- How Far Can You Get Without a GPU? A Systematic Benchmark of Lightweight Hallucination Detection Across Question Answering, Dialogue, and Summarisation
- Multi-Level Distributional Entropy from Flow Summary Statistics for Explainable Network Intrusion Detection
- UniTriSplat: A Unified 3D Gaussian Splatting Framework with Uniform Spherical Rasterization for Universal Cameras
- Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data
- Are Humans Evolved Instruction Followers? An Underlying Inductive Bias Enables Rapid Instructed Task Learning
- What Drives the Inlier-Memorization Effect? A Theory of Outlier Detection via Early Training Dynamics
- OP3DSG: Open-Vocabulary Part-Aware 3D Scene Graph Generation for Real-World Environments
- HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data
- FalconTrack: Photorealistic Auto-Labeled Perception and Physics-Aware Vision-Based Aerial Tracking
- Graph-GSReg: Leveraging 3D Scene Graphs for Gaussian Splatting Registration
- UrbanCDNet: Appearance-Robust and Boundary-Aware Bitemporal Change Detection for Korean Urban Building Monitoring
- Towards Generalizable and Evidential Nuclear Magnetic Resonance-Based Molecular Structure Elucidation via Large Language Model Agent
- GLIP: Graph and LLM Joint Pretraining for Graph-Level Tasks
- TopoAgent: An Agentic Framework for Automated Topology Learning in Medical Imaging
- MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment
- LEIQ-Assessor: Multi-dimensional Quality Assessment of Low-light Enhanced Images via Multi-task Learning
- Managing Map Cardinality in Automatic Disease Classification Mapping: Balancing Precision, Recall and Coverage
- Rethinking Generative Reconstruction Attacks against Graph Neural Network Models
- HTC-SGA Former: A Hybrid Transformer-CNN Network with Self-Guided Attention and a New Boundary-Weighted Adaptive Loss for Coronary DSA Vessel Segmentation
- Fast Numbers, Slow Language: Bridging Quantitative and Qualitative Earnings Signals
- How Far Do On-Prem Open LLMs Get on Text-to-SQL? A Cross-Family Size x Technique Frontier on BIRD
- Testing hypotheses via orthogonalization
- From Trait to Behavior: A Cognitive-Affective Personality System (CAPS) Perspective on Multi-Homing Intention in AIGC Platforms
- Optimizing Nursing Care Taxi Dispatch Leveraging Integer Linear Programming Solvers and Machine Learning
- ScaleAware-JEPA: Latent Representation for Discovery in Multiscale Physical Fields
- Redefining Maritime Anomaly Detection via Equation-Grounded Synthetic Anomalies
- The Hidden Cost of Resampling: How Imbalance Correction Degrades Probability Calibration in Tree Ensembles
- Diagnosing and Mitigating Context Rot in Long-horizon Search
- Optimizing Expert-Designed Crystal Graph Networks for Band-Gap Prediction with an Autonomous LLM Research Loop
- AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World
- Accurate Recognition of Pneumonia and COVID-19 by Geometric Shape Normalization of Lung Region using Automatic Landmark Detection and Piecewise Affine Warping
- UniVAD v2: Unified Visual Anomaly Detection via Support-Conditioned Boundary Construction
- Early Warning Signals for OpenVLA Failure under Visual Distribution Shift
- MF-UAVPose6D: A Model-Free Monocular 6-DoF Pose Estimation Framework for Fixed-Wing UAVs
- Progressive Self-Supervised Learning with Individualized Community Assignment for Brain Network Analysis
- IG-Lens: Exact Additive Probability Attribution Across Transformer Layers via Telescoping Integrated Gradients
- A Machine-Verified Proof of a Quantum-Optimization Conjecture
- PoseShield: Neural Collision Fields for Human Self-Collision Resolution
- CAREBench: A Child-Safety Risk Benchmark for Language Models
- Evolutionary Hyperparameter Optimization to Find Lightweight CNN Models for Autonomous Steering
- Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees
- Learning as Observable Matrix Dynamics: Diffusive Relaxations versus Phase Transitions
- I-BBS: Coordinate-Free Inference of Latent Sub-Manifolds Using Random Distance Matrix Theory
- MatMMExtract: An Open-Source Pipeline for Panel-Level Extraction of Grounded Image-Text Pairs from Materials Science Literature
- Adjusted Wasserstein distances for bridging empirical and true distributions with applications to MDS
- Benchmarking Geospatial Foundation Models for Agriculture Applications
- Diversity is the Strength of the AI Crowd