Papers
Mon 9 Mar 2026
477 papers
- Automating Crash Diagram Generation Using Vision-Language Models: A Case Study on Multi-Lane RoundaboutsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Hubble: An LLM-Driven Agentic Framework for Safe, Diverse, and Reproducible Alpha Factor DiscoveryLLM agents and tool use → Financial trading and forecasting agents
- Dynin-Omni: Omnimodal Unified Large Diffusion Language ModelDiffusion models → Image generation, text-to-image and editing
- How Emotion Shapes the Behavior of LLMs and Agents: A Mechanistic StudyLLM agents and tool use → Social simulation and multi-agent debate
- Joint Trajectory, RIS, and Computation Offloading Optimization via Decentralized Model-Based PPO in Urban Multi-UAV Mobile Edge ComputingDeep reinforcement learning methods → RL for robot navigation and UAV control
- Speculating Experts Accelerates Inference for Mixture-of-ExpertsMixture-of-experts → Efficient MoE training and inference systems
- DynaTrust: Defending Multi-Agent Systems Against Sleeper Agents via Dynamic Trust GraphsLLM reasoning → Reasoning for agents, planning and code +1
- Agentic LLM Workflow for MR Spectroscopy Volume-of-Interest Placements in Brain TumorsLLM agents and tool use → Medical and scientific domain agents
- GraphVLM: Benchmarking Vision Language Models for Multimodal Graph LearningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Real-Time Monocular Scene Analysis for UAV in Outdoor EnvironmentsDiffusion models → 3D, point cloud and scene generation
- Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware DecodingLLM reasoning → Hallucination detection and mitigation
- FineRMoE: Dimension Expansion for Finer-Grained Expert with Its Upcycling ApproachMixture-of-experts → Efficient MoE training and inference systems
- From Refusal Tokens to Refusal Control: Discovering and Steering Category-Specific Refusal DirectionsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- Learning When to Trust in Contextual Social BanditsDeep reinforcement learning methods → RL training of language and agent models
- Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges AheadLLM agents and tool use → Agent memory systems
- Decision-Aware Uncertainty Evaluation of Vision-Language Model-Based Early Action Anticipation for Human-Robot InteractionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Tool Receipts, Not Zero-Knowledge Proofs: Practical Hallucination Detection for AI AgentsLLM agents and tool use → Medical and scientific domain agents
- SBOMs into Agentic AIBOMs: Schema Extensions, Agentic Orchestration, and Reproducibility EvaluationLLM agents and tool use → Agent threats, guardrails and governance
- Cluster-Aware Attention-Based Deep Reinforcement Learning for Pickup and Delivery ProblemsDeep reinforcement learning methods → RL for games and combinatorial optimization
- OmniGuide: Universal Guidance Fields for Enhancing Generalist Robot PoliciesVision-language-action models → Generalist VLA models and benchmarks
- PlayWorld: Learning Robot World Models from Autonomous PlayWorld models → Embodied and robot world models
- MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM GamesLLM agents and tool use → Reinforcement learning for LLM agents
- Meissa: Multi-modal Medical Agentic IntelligenceMultimodal LLMs / vision-language models → Medical vision-language models +1
- The Coupling Within: Flow Matching via Distilled Normalizing FlowsDiffusion models → Flow matching, time series and science
- Statistical Inference via Generative Models: Flow Matching and Causal InferenceDiffusion models → Flow matching, time series and science
- Can AI Agents Generate Microservices? How Far are We?LLM agents and tool use → Software engineering coding agents
- Learning When to Sample: Confidence-Aware Selective Sampling for Efficient Chain-of-Thought ReasoningLLM reasoning → Test-time compute and efficient thinking
- Arbiter: Detecting Interference in LLM Agent System PromptsLLM agents and tool use → Software engineering coding agents
- MAPLE: Elevating Medical Reasoning from Statistical Consensus to Process-Led AlignmentLLM reasoning → Clinical and biomedical applications +1
- SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware RoutingDiffusion models → Video generation
- The qs Inequality: Quantifying the Double Penalty of Mixture-of-Experts at InferenceMixture-of-experts → MoE theory and gating functions
- A Survey of Reinforcement Learning For EconomicsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- BiCLIP: Domain Canonicalization via Structured Geometric TransformationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity NetworksDeep reinforcement learning methods → RL for energy, networks and operations
- Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context LearningMultimodal LLMs / vision-language models → Agricultural vision-language models
- TIDE: Text-Informed Dynamic Extrapolation with Step-Aware Temperature Control for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- MEGC2026: Micro-Expression Grand Challenge on Visual Question AnsweringMultimodal LLMs / vision-language models → Multimodal emotion understanding
- Vision-Language Models Encode Clinical Guidelines for Concept-Based Medical ReasoningMultimodal LLMs / vision-language models → Medical vision-language models
- ConFu: Contemplate the Future for Better Speculative SamplingEfficient LLM inference and serving → Speculative decoding
- Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving ArchitecturesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM SearchRetrieval-augmented generation → Agentic RAG, agents and memory +1
- One Language, Two Scripts: Probing Script-Invariance in LLM Concept RepresentationsMechanistic interpretability → SAE features and their applications
- APPLV: Adaptive Planner Parameter Learning from Vision-Language-Action ModelVision-language-action models → Reinforcement learning and post-training
- LDP: An Identity-Aware Protocol for Multi-Agent LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Investigating the Effects of LLM Use on Critical Thinking Under Time Constraints: Access Timing and Time AvailabilityLLM reasoning → Reasoning benchmarks and evaluation
- MASEval: Extending Multi-Agent Evaluation from Models to SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Beyond Relevance: On the Relationship Between Retrieval and RAG Information CoverageRetrieval-augmented generation → RAG pipeline design and evaluation
- VisionCreator-R1: A Reflection-Enhanced Native Visual-Generation Agentic ModelLLM agents and tool use → Multimodal and embodied agents
- Test-Driven AI Agent Definition (TDAD): Compiling Tool-Using Agents from Behavioral SpecificationsLLM agents and tool use → Software engineering coding agents
- Granulon: Awakening Pixel-Level Visual Encoders with Adaptive Multi-Granularity Semantics for MLLMMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Multi-level meta-reinforcement learning with skill-based curriculumDeep reinforcement learning methods → Deep RL algorithms and representations
- SPREAD: Subspace Representation Distillation for Lifelong Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Scale Space DiffusionDiffusion models → Diffusion foundations and sampling
- FVG-PT: Adaptive Foreground View-Guided Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Agentic Critical TrainingLLM agents and tool use → Reinforcement learning for LLM agents +1
- Evaluating Financial Intelligence in Large Language Models: Benchmarking SuperInvesting AI with LLM EnginesLLM reasoning → Reasoning for agents, planning and code
- CODA: Difficulty-Aware Compute Allocation for Adaptive ReasoningLLM reasoning → Test-time compute and efficient thinking
- OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- CoCo: Code as CoT for Text-to-Image Preview and Rare Concept GenerationLLM reasoning → Multimodal reasoning
- Retrieval-Augmented Gaussian Avatars: Improving Expression GeneralizationRetrieval-augmented generation → Multimodal RAG
- PostTrainBench: Can LLM Agents Automate LLM Post-Training?LLM reasoning → Reasoning for agents, planning and code +1
- Embedding Classical Balance Control Principles in Reinforcement Learning for Humanoid RecoveryDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Coverage-Guided Multi-Agent Harness Generation for Java Library FuzzingLLM agents and tool use → Software engineering coding agents
- Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene RepresentationsLLM reasoning → Spatial and embodied reasoning +1
- Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous ControlDeep reinforcement learning methods → Deep RL algorithms and representations
- MetaWorld-X: Hierarchical World Modeling via VLM-Orchestrated Experts for Humanoid Loco-ManipulationWorld models → Humanoid and legged locomotion world models
- Impact of Connectivity on Laplacian Representations in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Interactive World Simulator for Robot Policy Training and EvaluationWorld models → Embodied and robot world models
- EquiBim: Learning Symmetry-Equivariant Policy for Bimanual ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- SecAgent: Efficient Mobile GUI Agent with Semantic ContextLLM agents and tool use → GUI and mobile agents
- BuildMamba: A Visual State-Space Based Model for Multi-Task Building Segmentation and Height Estimation from Satellite ImagesState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- AtomVLA: Scalable Post-Training for Robotic Manipulation via Predictive Latent World ModelsWorld models → Embodied and robot world models +1
- Breaking the Bias Barrier in Concave Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Oracle-Guided Soft Shielding for Safe Move Prediction in ChessOffline RL and imitation learning from data → Imitation learning methods +1
- Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QALLM agents and tool use → Web, search, and research agents
- Reading neq Seeing: Diagnosing and Closing the Typography Gap in Vision-Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related ImagesMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- X-AVDT: Audio-Visual Cross-Attention for Robust Deepfake DetectionDiffusion models → Image generation, text-to-image and editing
- STRIDE: Structured Lagrangian and Stochastic Residual Dynamics via Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- LAR-MoE: Latent-Aligned Routing for Mixture of Experts in Robotic Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- R2F: Repurposing Ray Frontiers for LLM-free Object NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Integrating Lagrangian Neural Networks into the Dyna Framework for Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Reasoning as Compression: Unifying Budget Forcing via the Conditional Information BottleneckLLM reasoning → Test-time compute and efficient thinking
- The Boiling Frog Threshold: Criticality and Blindness in World Model-Based Anomaly Detection Under Gradual DriftWorld models → Latent dynamics models and model-based RL
- LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV IndexingEfficient LLM inference and serving → KV cache optimization
- Can Vision-Language Models Solve the Shell Game?Multimodal LLMs / vision-language models → Video understanding with MLLMs
- One Model Is Enough: Native Retrieval Embeddings from LLM Agent Hidden StatesLLM agents and tool use → Agent memory systems
- Meta-RL with Shared Representations Enables Fast Adaptation in Energy SystemsDeep reinforcement learning methods → Deep RL algorithms and representations
- Aligning to Illusions: Choice Blindness in Human and AI FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- A Recipe for Stable Offline Multi-agent Reinforcement LearningOffline RL and imitation learning from data → Offline multi-agent RL
- Adaptive Loops and Memory in Transformers: Think Harder or Know More?LLM reasoning → Prompting and chain-of-thought reasoning
- A Hierarchical Error-Corrective Graph Framework for Autonomous Agents with LLM-Based Action GenerationLLM reasoning → Reasoning for agents, planning and code +1
- Rectified flow-based prediction of post-treatment brain MRI from pre-radiotherapy priors for patients with gliomaDiffusion models → Medical imaging and segmentation
- M3-ACE: Rectifying Visual Perception in Multimodal Math Reasoning via Multi-Agentic Context EngineeringLLM reasoning → Multimodal reasoning +2
- DeltaVLA: Prior-Guided Vision-Language-Action Models via World Knowledge VariationVision-language-action models → World model-based VLA
- Local-Global Prompt Learning via Sparse Optimal TransportMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SPD-RAG: Sub-Agent Per Document Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Agentic Neurosymbolic Collaboration for Mathematical Discovery: A Case Study in Combinatorial DesignLLM reasoning → Mathematical reasoning +1
- CORE-Acu: Structured Reasoning Traces and Knowledge Graph Safety Verification for Acupuncture Clinical Decision SupportLLM reasoning → Clinical and biomedical applications
- SlowBA: An efficiency backdoor attack towards VLM-based GUI agentsLLM agents and tool use → Agent threats, guardrails and governance +1
All 477
- Retrieval-Augmented Anatomical Guidance for Text-to-CT GenerationRetrieval-augmented generation → Medical and biomedical RAG
- Do Models See in Line with Human Vision? Probing the Correspondence Between LVLM Representations and EEG SignalsLLM reasoning → Multimodal reasoning +1
- A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to ReasoningLLM reasoning → Multimodal reasoning
- Novel Semantic Prompting for Zero-Shot Action RecognitionMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State SpacesDeep reinforcement learning methods → RL theory and sample complexity
- Prototype-Guided Concept Erasure in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- SAIL: Test-Time Scaling for In-Context Imitation Learning with VLMLLM reasoning → Spatial and embodied reasoning +1
- FinToolBench: Evaluating LLM Agents for Real-World Financial Tool UseLLM agents and tool use → Financial trading and forecasting agents
- WaDi: Weight Direction-aware Distillation for One-step Image SynthesisDiffusion models → Diffusion foundations and sampling
- Not All Queries Need Deep Thought: CoFiCot for Adaptive Coarse-to-fine Stateful RefinementLLM reasoning → Test-time compute and efficient thinking
- Fibration Policy OptimizationLLM agents and tool use → Reinforcement learning for LLM agents
- The Struggle Between Continuation and Refusal: A Mechanistic Analysis of the Continuation-Triggered Jailbreak in LLMsLLM safety and security → Jailbreaking +1
- Disentangling Reasoning in Large Audio-Language Models for Ambiguous Emotion PredictionLLM reasoning → Audio-language model reasoning
- GarmentPainter: Efficient 3D Garment Texture Synthesis with Character-Guided Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- DualTurn: Learning Turn-Taking from Dual-Channel Generative Speech PretrainingLLM reasoning → Audio-language model reasoning +1
- Human-AI Collaboration for Scaling Agile Regression Testing: An Agentic-AI Teammate from Manual to Automated TestingLLM agents and tool use → Software engineering coding agents
- MERLIN: Building Low-SNR Robust Multimodal LLMs for Electromagnetic SignalsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous DataLLM reasoning → Reasoning for agents, planning and code
- RexDrug: Reliable Multi-Drug Combination Extraction through Reasoning-Enhanced LLMsLLM reasoning → Clinical and biomedical applications
- C2FG: Control Classifier-Free Guidance via Score Discrepancy AnalysisDiffusion models → Diffusion foundations and sampling
- DARC: Disagreement-Aware Alignment via Risk-Constrained DecodingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- VesselFusion: Diffusion Models for Vessel Centerline Extraction from 3D CT ImagesDiffusion models → Medical imaging and segmentation
- EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific DiscoveryLLM agents and tool use → Web, search, and research agents
- SaiVLA-0: Cerebrum--Pons--Cerebellum Tripartite Architecture for Compute-Aware Vision-Language-ActionVision-language-action models → Efficient VLA inference and adaptation
- Towards Human-Like Manipulation through RL-Augmented Teleoperation and Mixture-of-Dexterous-Experts VLAVision-language-action models → Human-video and latent-action pretraining
- Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive WeightingOffline RL and imitation learning from data → Offline RL algorithms
- UIS-Digger: Towards Comprehensive Research Agent Systems for Real-world Unindexed Information SeekingLLM agents and tool use → Web, search, and research agents
- SAMoE-VLA: A Scene Adaptive Mixture-of-Experts Vision-Language-Action Model for Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +3
- Invisible Safety Threat: Malicious Finetuning for LLM via SteganographyLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- EAGLE-Pangu: Accelerator-Safe Tree Speculative Decoding on Ascend NPUsEfficient LLM inference and serving → Speculative decoding
- Synthetic Defect Image Generation for Power Line Insulator Inspection Using Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- In-Context Reinforcement Learning for Tool Use in Large Language ModelsLLM reasoning → Reinforcement learning for reasoning +1
- SkyLink: A Large Vision-Language Model Driven Re-ranking Framework for Cross-View UAV geolocalizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward ModelingLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- Controllable Complex Human Motion Video Generation via Text-to-Skeleton CascadesDiffusion models → Video generation
- DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial AttentionDiffusion models → Discrete and text diffusion
- Not Like Transformers: Drop the Beat Representation for Dance Generation with Mamba-Based Diffusion ModelDiffusion models → Audio, speech and music +1
- PIRA-Bench: A Transition from Reactive GUI Agents to GUI-based Proactive Intent Recommendation AgentsLLM agents and tool use → GUI and mobile agents
- It's Time to Get It Right: Improving Analog Clock Reading and Clock-Hand Spatial Reasoning in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- ViSA-Enhanced Aerial VLN: A Visual-Spatial Reasoning Enhanced Framework for Aerial Vision-Language NavigationLLM reasoning → Spatial and embodied reasoning
- SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model ReasoningLLM reasoning → Test-time compute and efficient thinking
- AutoTraces: Autoregressive Trajectory Forecasting via Multimodal Large Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- OneMillion-Bench: How Far are Language Agents from Human Experts?LLM agents and tool use → General LLM agent frameworks and benchmarks
- OSExpert: Computer-Use Agents Learning Professional Skills via ExplorationLLM agents and tool use → GUI and mobile agents
- Mixture of experts architectures for machine learning interatomic potentialsMixture-of-experts → MoE theory and gating functions
- Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Model-Free DRL Control for Power Inverters: From Policy Learning to Real-Time Implementation via Knowledge DistillationDeep reinforcement learning methods → RL for energy, networks and operations
- RL unknotter, hard unknots and unknotting numberDeep reinforcement learning methods → RL for games and combinatorial optimization
- RAPID: Redundancy-Aware and Compatibility-Optimal Edge-Cloud Partitioned Inference for Diverse VLA ModelsVision-language-action models → Efficient VLA inference and adaptation
- AI Agents, Language, Deep Learning and the Next Revolution in ScienceLLM agents and tool use → Web, search, and research agents
- Text to Automata Diagrams: Comparing TikZ Code Generation with Direct Image SynthesisMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- BRIDGE: Benchmark for multi-hop Reasoning In long multimodal Documents with Grounded EvidenceLLM reasoning → Knowledge- and tool-augmented reasoning
- SWE-Fuse: Empowering Software Agents via Issue-free Trajectory Learning and Entropy-aware RLVR TrainingLLM agents and tool use → Software engineering coding agents
- SageSched: Efficient LLM Scheduling Confronting Demand Uncertainty and HybridityEfficient LLM inference and serving → Serving systems and request scheduling
- Ares: Adaptive Reasoning Effort Selection for Efficient LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Geometric Transformation-Embedded Mamba for Learned Video CompressionState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Beyond Heuristic Prompting: A Concept-Guided Bayesian Framework for Zero-Shot Image RecognitionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- RoboRouter: Training-Free Policy Routing for Robotic ManipulationVision-language-action models → Reinforcement learning and post-training
- VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?LLM reasoning → Multimodal reasoning
- Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model InferenceLLM reasoning → Test-time compute and efficient thinking
- Toward Unified Multimodal Representation Learning for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- Hospitality-VQA: Decision-Oriented Informativeness Evaluation for Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SoundWeaver: Semantic Warm-Starting for Text-to-Audio Diffusion ServingDiffusion models → Audio, speech and music
- Sparse Scheduled Diffusion Guidance for Inverse ProblemsDiffusion models → Inverse problems and image restoration
- SynPlanResearch-R1: Encouraging Tool Exploration for Deep Research with Synthetic PlansLLM agents and tool use → Web, search, and research agents
- Quantifying Divergence in Inter-LLM Communication Through API Retrieval and Ranking
- Beyond Static: Related Questions Retrieval Through Conversations in Community Question Answering
- Technically Love: The Evolution of Human-AI Romance Discourse on Reddit
- How people use Copilot for Health
- CID-TKG: Collaborative Historical Invariance and Evolutionary Dynamics Learning for Temporal Knowledge Graph Reasoning
- Personalized AI Practice Replicates Learning Rate Regularity at Scale
- Can LLMs Perceive Time? An Empirical Investigation
- Eyla: Toward an Identity-Anchored LLM Architecture with Integrated Biological Priors -- Vision, Implementation Attempt, and Lessons from AI-Assisted Development
- How Trustworthy Are LLM-as-Judge Ratings for Interpretive Responses? Implications for Qualitative Research Workflows
- Scalable Identification and Prioritization of Requisition-Specific Personal Competencies Using Large Language Models
- LinearARD: Linear-Memory Attention Distillation for RoPE Restoration
- Tabular PDF Information Extraction with Local LLMs and Layout-Aware Parsing: A Reliability Evaluation
- AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment
- AI Meets Mathematics Education: A Case Study on Supporting an Instructor in a Large Mathematics Class with Context-Aware AI
- Rheos: Modelling Continuous Motion Dynamics in Hierarchical 3D Scene Graphs
- Neural Dynamics Self-Attention for Spiking Transformers
- Joint Return and Risk Modeling with Deep Neural Networks for Portfolio Construction
- Towards Differentiating Between Failures and Domain Shifts in Industrial Data Streams
- The ARC of Progress towards AGI: A Living Survey of Abstraction and Reasoning
- Disentangling Prompt Dependence to Evaluate Segmentation Reliability in Gynecological MRI
- Multimodal Deep Learning for Dynamic and Static Neuroimaging: Integrating MRI and fMRI for Alzheimer Disease Analysis
- WaveComm: Lightweight Communication for Collaborative Perception via Wavelet Feature Distillation
- IAML: Illumination-Aware Mirror Loss for Progressive Learning in Low-Light Image Enhancement Auto-encoders
- Patient-Level Multimodal Question Answering from Multi-Site Auscultation Recordings
- BrainCast: A Spatio-Temporal Forecasting Model for Whole-Brain fMRI Time Series Prediction
- Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution
- Bi-CamoDiffusion: A Boundary-informed Diffusion Approach for Camouflaged Object Detection
- Int3DNet: Scene-Motion Cross Attention Network for 3D Intention Prediction in Mixed Reality
- Hybrid Quantum-Classical Encoding for Accurate Residue-Level pKa Prediction
- Training Language Models via Neural Cellular Automata
- Quantization of Ricci Curvature in Information Geometry
- Where Do Flow Semantics Reside? A Protocol-Native Tabular Pretraining Paradigm for Encrypted Traffic Classification
- InFusionLayer: a CFA-based ensemble tool to generate new classifiers for learning and modeling
- Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation
- Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Software
- When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency
- The Missing Memory Hierarchy: Demand Paging for LLM Context Windows
- AI Phenomenology for Understanding Human-AI Experiences Across Eras
- An accurate flatness measure to estimate the generalization performance of CNN models
- Improving through Interaction: Searching Behavioral Representation Spaces with CMA-ES-IG
- Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis
- Security Considerations for Multi-agent Systems
- Diffusion-Based Authentication of Copy Detection Patterns: A Multimodal Framework with Printer Signature Conditioning
- SkipGS: Post-Densification Backward Skipping for Efficient 3DGS Training
- Automated Thematic Analysis for Clinical Qualitative Data: Iterative Codebook Refinement with Full Provenance
- SurgCalib: Gaussian Splatting-Based Hand-Eye Calibration for Robot-Assisted Minimally Invasive Surgery
- Data-driven robust Markov decision processes on Borel spaces: performance guarantees via an axiomatic approach
- MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
- Can You Hear, Localize, and Segment Continually? An Exemplar-Free Continual Learning Benchmark for Audio-Visual Segmentation
- Semantic Level of Detail for Knowledge Graphs: Discovering Abstraction Boundaries via Spectral Heat Diffusion
- The FABRIC Strategy for Verifying Neural Feedback Systems
- Estimation of heterogeneous principal effects under principal ignorability
- Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation
- A Consensus-Driven Multi-LLM Pipeline for Missing-Person Investigations
- Towards Reliable Simulation-based Inference
- Kernel Debiased Plug-in Estimation based on the Universal Least Favorable Submodel
- AgentOS: From Application Silos to a Natural Language-Driven Data Ecosystem
- VoxEmo: Benchmarking Speech Emotion Recognition with Speech LLMs
- PathoScribe: Transforming Pathology Data into a Living Library with a Unified LLM-Driven Framework for Semantic Retrieval and Clinical Integration
- Interpretable Markov-Based Spatiotemporal Risk Surfaces for Missing-Child Search Planning with Reinforcement Learning and LLM-Based Quality Assurance
- Functional Bias and Tangent-Space Geometry in Variational Inference
- Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement
- Uncovering a Winning Lottery Ticket with Continuously Relaxed Bernoulli Gates
- Quantifying Memorization and Privacy Risks in Genomic Language Models
- FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID Data
- SciTaRC: A Plan-Annotated Scientific Tabular QA Benchmark for Language Reasoning and Complex Computation
- Cross-Domain Uncertainty Quantification for Selective Prediction: A Comprehensive Bound Ablation with Transfer-Informed Betting
- Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift
- NetDiffuser: Deceiving DNN-Based Network Attack Detection Systems with Diffusion-Generated Adversarial Traffic
- A New Modeling to Feature Selection Based on the Fuzzy Rough Set Theory in Normal and Optimistic States on Hybrid Information Systems
- Towards Visual Query Segmentation in the Wild
- From Word2Vec to Transformers: Text-Derived Composition Embeddings for Filtering Combinatorial Electrocatalysts
- MultiGraSCCo: A Multilingual Anonymization Benchmark with Annotations of Personal Identifiers
- Why Channel-Centric Models are not Enough to Predict End-to-End Performance in Private 5G: A Measurement Campaign and Case Study
- Expressivity-Efficiency Tradeoffs for Hybrid Sequence Models
- Unpacking Interpretability: Human-Centered Criteria for Optimal Combinatorial Solutions
- HECTOR: Hybrid Editable Compositional Object References for Video Generation
- A Lightweight Multi-Cancer Tumor Localization Framework for Deployable Digital Pathology
- Computer Vision-Based Vehicle Allotment System using Perspective Mapping
- Local Message-Passing for Discrete Graph Generation
- SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative Gradients
- Fish Audio S2 Technical Report
- Scale-Plan: Scalable Language-Enabled Task Planning for Heterogeneous Multi-Robot Teams
- Where, What, Why: Toward Explainable 3D-GS Watermarking
- The Temporal Markov Transition Field
- Large Language Model-Assisted Superconducting Qubit Experiments
- Micro-Diffusion Compression - Binary Tree Tweedie Denoising for Online Probability Estimation
- Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting
- HiAR: Efficient Autoregressive Long Video Generation via Hierarchical Denoising
- A Multi-Objective Optimization Approach for Sustainable AI-Driven Entrepreneurship in Resilient Economies
- Split Federated Learning Architectures for High-Accuracy and Low-Delay Model Training
- Benchmarking Language Modeling for Lossless Compression of Full-Fidelity Audio
- Structural Causal Bottleneck Models
- ER-Pose: Rethinking Keypoint-Driven Representation Learning for Real-Time Human Pose Estimation
- A New Lower Bound for the Random Offerer Mechanism in Bilateral Trade using AI-Guided Evolutionary Search
- Momentum SVGD-EM for Accelerated Maximum Marginal Likelihood Estimation
- Talking Together: Synthesizing Co-Located 3D Conversations from Audio
- Characterization and upgrade of a quantum graph neural network for charged particle tracking
- ImprovedGS+: A High-Performance C++/CUDA Re-Implementation Strategy for 3D Gaussian Splatting
- How Far Can Unsupervised RLVR Scale LLM Training?
- Context-free Self-Conditioned GAN for Trajectory Forecasting
- Group Entropies and Mirror Duality: A Class of Flexible Mirror Descent Updates for Machine Learning
- Divide and Predict: An Architecture for Input Space Partitioning and Enhanced Accuracy
- CAST: Modeling Visual State Transitions for Consistent Video Retrieval
- Grow, Don't Overwrite: Fine-tuning Without Forgetting
- UNBOX: Unveiling Black-box visual models with Natural-language
- Integral Formulas for Vector Signal Tensor Products
- StreamReady: Learning What to Answer and When in Long Streaming Videos
- FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection
- Weakly Supervised Teacher-Student Framework with Progressive Pseudo-mask Refinement for Gland Segmentation
- Don't Look Back in Anger: MAGIC Net for Streaming Continual Learning with Temporal Dependence
- PRISM: Streaming Human Motion Generation with Per-Joint Latent Decomposition
- CARE-Edit: Condition-Aware Routing of Experts for Contextual Image Editing
- DualFlexKAN: Dual-stage Kolmogorov-Arnold Networks with Independent Function Control
- Online Sparse Synthetic Aperture Radar Imaging
- Drift-to-Action Controllers: Budgeted Interventions with Online Risk Certificates
- Trust via Reputation of Conviction
- OSS-CRS: Liberating AIxCC Cyber Reasoning Systems for Real-World Open-Source Security
- BioGait-VLM: A Tri-Modal Vision-Language-Biomechanics Framework for Interpretable Clinical Gait Assessment
- RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback
- Generative Adversarial Regression (GAR): Learning Conditional Risk Scenarios
- mmGAT: Pose Estimation by Graph Attention with Mutual Features from mmWave Radar Point Cloud
- The Neural Compass: Probabilistic Relative Feature Fields for Robotic Search
- PCFEx: Point Cloud Feature Extraction for Graph Neural Networks
- SWIFT: Sliding Window Reconstruction for Few-Shot Training-Free Generated Video Attribution
- Towards Effective and Efficient Graph Alignment without Supervision
- OccTrack360: 4D Panoptic Occupancy Tracking from Surround-View Fisheye Cameras
- Beyond Hungarian: Match-Free Supervision for End-to-End Object Detection
- Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-View Echos
- Spherical-GOF: Geometry-Aware Panoramic Gaussian Opacity Fields for 3D Scene Reconstruction
- Improving Continual Learning for Gaussian Splatting based Environments Reconstruction on Commercial Off-the-Shelf Edge Devices
- All Vehicles Can Lie: Efficient Adversarial Defense in Fully Untrusted-Vehicle Collaborative Perception via Pseudo-Random Bayesian Inference
- Efficient Credal Prediction through Decalibration
- First-Order Geometry, Spectral Compression, and Structural Compatibility under Bounded Computation
- Pareto-Optimal Anytime Algorithms via Bayesian Racing
- Global Cross-Modal Geo-Localization: A Million-Scale Dataset and a Physical Consistency Learning Framework
- NN-OpInf: an operator inference approach using structure-preserving composable neural networks
- MUSA-PINN: Multi-scale Weak-form Physics-Informed Neural Networks for Fluid Flow in Complex Geometries
- Data-Driven Priors for Uncertainty-Aware Risk Prediction of Clinical Deterioration using Multimodal Data
- Adaptive Entropy-Driven Sensor Selection in a Camera-LiDAR Particle Filter for Single-Vessel Tracking
- A Dataset for Probing Translationese Preferences in English-to-Swedish Translation
- A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic
- Efficient Policy Learning with Hybrid Evaluation-Based Genetic Programming for Uncertain Agile Earth Observation Satellite Scheduling
- Alfa: Attentive Low-Rank Filter Adaptation for Structure-Aware Cross-Domain Personalized Gaze Estimation
- Information Maximization for Long-Tailed Semi-Supervised Domain Generalization
- Grow, Assess, Compress: Adaptive Backbone Scaling for Memory-Efficient Class Incremental Learning
- IronEngine: Towards General AI Assistant
- SYNAPSE: Framework for Neuron Analysis and Perturbation in Sequence Encoding
- Human-Aware Robot Behaviour in Self-Driving Labs
- Geometrically Constrained Outlier Synthesis
- Sandpiper: Orchestrated AI-Annotation for Educational Discourse at Scale
- SPIRAL: Self-Evolving Action-Conditioned Video Generation via Reflective Planning Agents
- Revealing Behavioral Plasticity in Large Language Models: A Token-Conditional Perspective
- Decoupling Distance and Networks: Hybrid Graph Attention-Geostatistical Methods for Spatio-temporal Risk Mapping
- COACH meets QUORUM: A Framework and Pipeline for Aligning User, Expert and Developer Perspectives in LLM-generated Health Counselling
- DuetHOI: Language-Guided Bimanual Hand--Object Motion Generation with Articulation Planning and Contact Refinement
- AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection
- Real-Time Drone Detection in Event Cameras via Per-Pixel Frequency Analysis
- Beyond the Markovian Assumption: Robust Optimization via Fractional Weyl Integrals in Imbalanced Data
- This Looks Distinctly Like That: Grounding Interpretable Recognition in Stiefel Geometry against Neural Collapse
- Leaderboard Incentives: Model Rankings under Strategic Post-Training
- Unifying On- and Off-Policy Variance Reduction Methods
- Diffusion-Based Data Augmentation for Image Recognition: A Systematic Analysis and Evaluation
- Computational modeling of early language learning from acoustic speech and audiovisual input without linguistic priors
- Do Language Models Know Theo Has a Wife? Investigating the Proviso Problem
- Towards plausibility in time series counterfactual explanations
- Rethinking Attention Output Projection: Structured Hadamard Transforms for Efficient Transformers
- Electrocardiogram Classification with Transformers Using Koopman and Wavelet Features
- Detecting Fake Reviewer Groups in Dynamic Networks: An Adaptive Graph Learning Method
- Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology
- EndoSERV: A Vision-based Endoluminal Robot Navigation System
- Human-AI Divergence in Ego-centric Action Recognition under Spatial and Spatiotemporal Manipulations
- HDR-NSFF: High Dynamic Range Neural Scene Flow Fields
- Learning Multiple Utterance-Level Attribute Representations with a Unified Speech Encoder
- Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
- Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness
- Graph-Instructed Neural Networks for parametric problems with varying boundary conditions
- Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization
- A Blockchain-based Traceability System for AI-Driven Engine Blade Inspection
- LAMUS: A Large-Scale Corpus for Legal Argument Mining from U.S. Caselaw using LLMs
- Learning efficient representations of complex constraints for scalable optimization
- Using Multimodal and Language-Agnostic Sentence Embeddings for Abstractive Summarization
- Evaluating LLM-Based Grant Proposal Review via Structured Perturbations
- OSCAR: Occupancy-based Shape Completion via Acoustic Neural Implicit Representations
- TA-RNN-Medical-Hybrid: A Time-Aware and Interpretable Framework for Mortality Risk Prediction
- AdaCultureSafe: Adaptive Cultural Safety Grounded by Cultural Knowledge in Large Language Models
- How Much Do LLMs Hallucinate in Document Q&A Scenarios? A 172-Billion-Token Study Across Temperatures, Context Lengths, and Hardware Platforms
- SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
- Towards a more efficient bias detection in financial language models
- Airborne Magnetic Anomaly Navigation with Neural-Network-Augmented Online Calibration
- Event-based Motion & Appearance Fusion for 6D Object Pose Tracking
- Beyond ReinMax: Low-Variance Gradient Estimators for Discrete Latent Variables
- NCL-UoR at SemEval-2026 Task 5: Embedding-Based Methods, Fine-Tuning, and LLMs for Word Sense Plausibility Rating
- FlowTouch: View-Invariant Visuo-Tactile Prediction
- DynamicVGGT: Learning Dynamic Point Maps for 4D Scene Reconstruction in Autonomous Driving
- FedPrism: Adaptive Personalized Federated Learning under Non-IID Data
- Bootstrapping Audiovisual Speech Recognition in Zero-AV-Resource Scenarios
- Topologically Stable Hough Transform
- Optimising antibiotic switching via forecasting of patient physiology
- Sensivity of LLMs' Explanations to the Training Randomness:Context, Class & Task Dependencies
- SiMO: Single-Modality-Operable Multimodal Collaborative Perception
- Exploring Deep Learning and Ultra-Widefield Imaging for Diabetic Retinopathy and Macular Edema
- Quantifying Cross-Lingual Transfer in Paralinguistic Speech Tasks
- SRNeRV: A Scale-wise Recursive Framework for Neural Video Representation
- SAVE: Speech-Aware Video Representation Learning for Video-Text Retrieval
- SplitAgent: A Privacy-Preserving Distributed Architecture for Enterprise-Cloud Agent Collaboration
- Wiener Chaos Expansion based Neural Operator for Singular Stochastic Partial Differential Equations
- Revisiting Gradient Staleness: Evaluating Distance Metrics for Asynchronous Federated Learning Aggregation
- Video2LoRA: Unified Semantic-Controlled Video Generation via Per-Reference-Video LoRA
- Alignment-Aware and Reliability-Gated Multimodal Fusion for Unmanned Aerial Vehicle Detection Across Heterogeneous Thermal-Visual Sensors
- The Conundrum of Trustworthy Research on Attacking Personally Identifiable Information Removal Techniques
- Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules
- MM-TS: Multi-Modal Temperature and Margin Schedules for Contrastive Learning with Long-Tail Data
- Fusion-Poly: A Polyhedral Framework Based on Spatial-Temporal Fusion for 3D Multi-Object Tracking
- Supporting Workflow Reproducibility by Linking Bioinformatics Tools across Papers and Executable Code
- Sequential Service Region Design with Capacity-Constrained Investment and Spillover Effect
- SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization
- TildeOpen LLM: Leveraging Curriculum Learning to Achieve Equitable Language Representation
- AutoAdapt: An Automated Domain Adaptation Framework for LLMs
- ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection
- Privacy-Preserving End-to-End Full-Duplex Speech Dialogue Models
- Is continuous CoT better suited for multi-lingual reasoning?
- Evolution Strategy-Based Calibration for Low-Bit Quantization of Speech Models
- An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation
- Covenant-72B: Pre-Training a 72B LLM with Trustless Peers Over-the-Internet
- Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning
- Outlier-robust Autocovariance Least Square Estimation via Iteratively Reweighted Least Square
- Are We Winning the Wrong Game? Revisiting Evaluation Practices for Long-Term Time Series Forecasting
- Gender Bias in MT for a Genderless Language: New Benchmarks for Basque
- Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors
- Gradually Excavating External Knowledge for Implicit Complex Question Answering
- MV-Fashion: Towards Enabling Virtual Try-On and Size Estimation with Multi-View Paired Data
- Training event-based neural networks with exact gradients via Differentiable ODE Solving in JAX
- Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach
- Fast Low-light Enhancement and Deblurring for 3D Dark Scenes
- UniGround: Universal 3D Visual Grounding via Training-Free Scene Parsing
- Explainable Condition Monitoring via Probabilistic Anomaly Detection Applied to Helicopter Transmissions
- TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception -- Don't Treat All Uncertainty the Same
- Foley-Flow: Coordinated Video-to-Audio Generation with Masked Audio-Visual Alignment and Dynamic Conditional Flows
- Ramsa: A Large Sociolinguistically Rich Emirati Arabic Speech Corpus for ASR and TTS
- Tau-BNO: Brain Neural Operator for Tau Transport Model
- Adaptive MLP Pruning for Large Vision Transformers
- TrianguLang: Geometry-Aware Semantic Consensus for Pose-Free 3D Localization
- DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation
- From Reactive to Map-Based AI: Tuned Local LLMs for Semantic Zone Inference in Object-Goal Navigation
- High-Fidelity Pruning for Large Language Models
- Tiny Autoregressive Recursive Models
- TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery
- Hybrid Quantum Neural Network for Multivariate Clinical Time Series Forecasting
- Deterministic Differentiable Structured Pruning for Large Language Models
- Evaluating Generative Models via One-Dimensional Code Distributions
- Adversarial Domain Adaptation Enables Knowledge Transfer Across Heterogeneous RNA-Seq Datasets
- ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learning
- Stabilized Fine-Tuning with LoRA in Federated Learning: Mitigating the Side Effect of Client Size and Rank via the Scaling Factor
- See and Switch: Vision-Based Branching for Interactive Robot-Skill Programming
- Speed3R: Sparse Feed-forward 3D Reconstruction Models
- Examining the Role of YouTube Production and Consumption Dynamics on the Formation of Extreme Ideologies
- S2S-FDD: Bridging Industrial Time Series and Natural Language for Explainable Zero-shot Fault Diagnosis
- Solution to the 10th ABAW Expression Recognition Challenge: A Robust Multimodal Framework with Safe Cross-Attention and Modality Dropout
- GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables
- QualiTeacher: Quality-Conditioned Pseudo-Labeling for Real-World Image Restoration
- ConflictBench: Evaluating Human-AI Conflict via Interactive and Visually Grounded Environments
- Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization
- AffordGrasp: Cross-Modal Diffusion for Affordance-Aware Grasp Synthesis
- VSDiffusion: Taming Ill-Posed Shadow Generation via Visibility-Constrained Diffusion
- Missing No More: Dictionary-Guided Cross-Modal Image Fusion under Missing Infrared
- Alignment-Process-Outcome: Rethinking How AIs and Humans Collaborate
- FedMomentum: Preserving LoRA Training Momentum in Federated Fine-Tuning
- Amortized Maximum Inner Product Search with Learned Support Functions
- Drag-Aware Aerodynamic Manipulability for Torque-Limited Redundant Multirotors: Aerodynamic Promptness based on the Symmetric Acceleration Capacity
- CMMR-VLN: Vision-and-Language Navigation via Continual Multimodal Memory Retrieval
- MJ1: Multimodal Judgment via Grounded Verification
- TeamHOI: Learning a Unified Policy for Cooperative Human-Object Interactions with Any Team Size
- On the Feasibility and Opportunity of Autoregressive 3D Object Detection
- Extend Your Horizon: A Device-Agnostic Surgical Tool Tracking Framework with Multi-View Optimization for Augmented Reality
- Emergence is Overrated: AGI as an Archipelago of Experts
- VORL-EXPLORE: A Hybrid Learning Planning Approach to Multi-Robot Exploration in Dynamic Environments
- Advancing Automated Algorithm Design via Evolutionary Stagewise Design with LLMs
- Listening with the Eyes: Benchmarking Egocentric Co-Speech Grounding across Space and Time
- Local Constrained Bayesian Optimization
- SGG-Rrm 3: From Next-Token Prediction to End-to-End Unbiased Scene Graph Generation
- PSTNet: Physically-Structured Turbulence Network
- VisualAD: Language-Free Zero-Shot Anomaly Detection via Vision Transformer
- ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
- L3:Scene-agnostic Visual Localization in the Wild
- A Hybrid Vision Transformer Approach for Mathematical Expression Recognition
- IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation
- Semantic Risk Scoring of Aggregated Metrics: An AI-Driven Approach for Healthcare Data Governance
- Robust Transfer Learning with Side Information
- RLPR: Radar-to-LiDAR Place Recognition via Two-Stage Asymmetric Cross-Modal Alignment for Autonomous Driving
- Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion Learning
- Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases
- Long-Short Term Agents for Pure-Vision Bronchoscopy Robotic Autonomy
- EveryQuery: A Promptable Foundation Model for Clinical Prediction Tasks over Electronic Health Records
- Bayesian Transformer for Probabilistic Load Forecasting in Smart Grids
- Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning
- LeJOT-AutoML: LLM-Driven Feature Engineering for Job Execution Time Prediction in Databricks Cost Optimization
- SMGI: A Structural Theory of General Artificial Intelligence
- MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models
- Designing probabilistic AI monsoon forecasts to inform agricultural decision-making
- A Lightweight Traffic Map for Efficient Anytime LaCAM*
- Visualizing Coalition Formation: From Hedonic Games to Image Segmentation
- Structure and Progress Aware Diffusion for Medical Image Segmentation
- CCR-Bench: A Comprehensive Benchmark for Evaluating LLMs on Complex Constraints, Control Flows, and Real-World Cases
- What Do AI Agents Talk About? Discourse and Architectural Constraints in the First AI-Only Social Network
- Slumbering to Precision: Enhancing Artificial Neural Network Calibration Through Sleep-like Processes
- Language-Guided Grasping under Partial Observation for Mobile Manipulation in Field Inspection and Maintenance
- An Interpretable Generative Framework for Anomaly Detection in High-Dimensional Financial Time Series