Papers
Mon 23 Mar 2026
435 papers
- SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual AdaptationLLM agents and tool use → General LLM agent frameworks and benchmarks
- How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT DataLLM reasoning → Prompting and chain-of-thought reasoning +1
- NuHF Claw: A Risk Constrained Cognitive Agent Framework for Human Centered Procedure Support in Digital Nuclear Control RoomsLLM agents and tool use → Agent threats, guardrails and governance
- Alignment as Institutional Design: From Behavioral Correction to Transaction Structure in Intelligent SystemsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- IPSL-AID: Generative Diffusion Models for Climate Downscaling from Global to Regional ScalesDiffusion models → Flow matching, time series and science
- Evolutionary Warm-Starts for Reinforcement Learning in Industrial Continuous ControlDeep reinforcement learning methods → RL for energy, networks and operations
- From Diffusion to Flow: Efficient Motion Generation in MotionGPT3Diffusion models → Video generation
- Steering Sparse Autoencoder Latents to Control Dynamic Head Pruning in Vision Transformers (Student Abstract)Mechanistic interpretability → Interpreting vision and multimodal models
- Do Multilingual VLMs Reason Equally? A Cross-Lingual Visual Reasoning Audit for Indian LanguagesLLM reasoning → Reasoning benchmarks and evaluation +1
- Language-Conditioned World Modeling for Visual NavigationWorld models → World models for navigation
- CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective TrainingLLM reasoning → Multimodal reasoning +2
- Mixture of Demonstrations for Textual Graph Understanding and Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG +1
- AwesomeLit: Towards Hypothesis Generation with Agent-Supported Literature ResearchLLM agents and tool use → Multimodal and embodied agents
- Q-Tacit: Image Quality Assessment via Latent Visual ReasoningLLM reasoning → Multimodal reasoning +1
- Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical LiteratureRetrieval-augmented generation → Medical and biomedical RAG
- To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Bridging the Know-Act Gap via Task-Level Autoregressive ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Language Models Can Explain Visual Features via SteeringMechanistic interpretability → Interpreting vision and multimodal models
- A vision-language model and platform for temporally mapping surgery from videoMultimodal LLMs / vision-language models → Medical vision-language models
- Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?LLM reasoning → Prompting and chain-of-thought reasoning
- STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF SolvingLLM agents and tool use → Agent threats, guardrails and governance
- TrustTrade: Human-Inspired Selective Consensus Reduces Decision Uncertainty in LLM Trading AgentsLLM agents and tool use → Financial trading and forecasting agents
- Privacy-Preserving Reinforcement Learning from Human Feedback via Decoupled Reward ModelingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Ego2Web: A Web Agent Benchmark Grounded in Egocentric VideosLLM agents and tool use → Multimodal and embodied agents
- GraphRAG for Engineering Diagrams: ChatP&ID Enables LLM Interaction with P&IDsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Learning Sidewalk Autopilot from Multi-Scale Imitation with Corrective Behavior ExpansionOffline RL and imitation learning from data → Imitation and offline RL for driving
- Sketch2CT: Multimodal Diffusion for Structure-Aware 3D Medical Volume GenerationDiffusion models → Medical imaging and segmentation
- Tiny Inference-Time Scaling with Latent VerifiersLLM reasoning → Diffusion reasoning and test-time scaling
- Model Context Protocol Threat Modeling and Analyzing Vulnerabilities to Prompt Injection with Tool PoisoningLLM safety and security → Prompt injection and agent security
- MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion DecodingLLM reasoning → Diffusion reasoning and test-time scaling
- SkillRouter: Skill Routing for LLM Agents at ScaleLLM agents and tool use → Agent skill learning and evolution
- Latent Reuse in Agent Skills: Multi-modal Clone Detection at Ecosystem ScaleLLM agents and tool use → Agent skill learning and evolution
- Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMsLLM reasoning → Reinforcement learning for reasoning
- CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot ManipulationVision-language-action models → Failure recovery and robustness +1
- Inference Time Policy Optimization for Offline RL with Differentiable World ModelsWorld models → Latent dynamics models and model-based RL +1
- From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM AgentsLLM agents and tool use → Software engineering coding agents
- Learning When to Act: Interval-Aware Reinforcement Learning with Predictive Temporal StructureDeep reinforcement learning methods → Deep RL algorithms and representations
- Closing the Auto-Research Loop: An AI Co-Scientist for Production Search RankingLLM agents and tool use → Web, search, and research agents
- Three Creates All: You Only Sample 3 StepsDiffusion models → Diffusion foundations and sampling
- When Visuals Aren't the Problem: Evaluating Vision-Language Models on Misleading Data VisualizationsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context WindowLLM reasoning → Knowledge- and tool-augmented reasoning +2
- MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment ObjectivesDiffusion models → Diffusion foundations and sampling
- Early Discoveries of Algorithmist I: Promise of Provable Algorithm Synthesis at ScaleLLM reasoning → Mathematical reasoning
- WorldCache: Content-Aware Caching for Accelerated Video World ModelsWorld models → Video-generation world models and simulators +1
- VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- End-to-End Training for Unified Tokenization and Latent DenoisingDiffusion models → Diffusion foundations and sampling
- ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning ModelWorld models → Embodied and robot world models +1
- DualCoT-VLA: Visual-Linguistic Chain of Thought via Parallel Reasoning for Vision-Language-Action ModelsLLM reasoning → Spatial and embodied reasoning +1
- 3D-Layout-R1: Structured Reasoning for Language-Instructed Spatial EditingLLM reasoning → Spatial and embodied reasoning +1
- The Dual Mechanisms of Spatial Variable Binding in Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Repurposing Geometric Foundation Models for Multi-view DiffusionDiffusion models → 3D, point cloud and scene generation
- Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard ExplorationDeep reinforcement learning methods → Deep RL algorithms and representations
- DUO-VSR: Dual-Stream Distillation for One-Step Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- Confidence-Based Decoding is Provably Efficient for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- MemDLM: Memory-Enhanced DLM TrainingDiffusion models → Discrete and text diffusion +1
- SpatialReward: Verifiable Spatial Reward Modeling for Fine-Grained Spatial Consistency in Text-to-Image GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Gumbel Distillation for Parallel Text GenerationEfficient LLM inference and serving → Diffusion LLM and MoE inference
- Omni-WorldBench: Towards a Comprehensive Interaction-Centric Evaluation for World ModelsWorld models → Video-generation world models and simulators
- Chimera: Latency- and Performance-Aware Multi-agent Serving for Heterogeneous LLMsLLM agents and tool use → Software engineering coding agents
- Seeing is Improving: Visual Feedback for Iterative Text Layout RefinementMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Enhancing Document-Level Machine Translation via Filtered Synthetic Corpora and Two-Stage LLM AdaptationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Revisiting Quantum Code Generation: Where Should Domain Knowledge Live?Retrieval-augmented generation → RAG for code
- Cross-Modal Reinforcement Learning for Navigation with Degraded Depth MeasurementsDeep reinforcement learning methods → RL for robot navigation and UAV control
- MARCUS: An agentic, multimodal vision-language model for cardiac diagnosis and managementMultimodal LLMs / vision-language models → Medical vision-language models +1
- VersualRL: Closed-Loop Verbal Reinforcement Learning with Visual Execution Feedback for Task-Level Robot PlanningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- ACPO: Counteracting Likelihood Displacement in Vision-Language Alignment with Asymmetric ConstraintsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- OpenEarth-Agent: From Tool Calling to Tool Creation for Open-Environment Earth ObservationLLM agents and tool use → Multimodal and embodied agents
- DA-VAE: Plug-in Latent Compression for Diffusion via Detail AlignmentDiffusion models → Diffusion foundations and sampling
- On the Direction of RLVR Updates for LLM Reasoning: Identification and ExploitationLLM reasoning → Reinforcement learning for reasoning
- Automated Lemma Discovery in Agentic Program VerificationLLM agents and tool use → Educational agents and math problem solving
- GSEM: Graph-based Self-Evolving Memory for Experience Augmented Clinical ReasoningLLM reasoning → Clinical and biomedical applications +1
- Principled Steering via Null-space Projection for Jailbreak Defense in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- A Context Engineering Framework for Improving Enterprise AI Agents based on Digital-Twin MDPLLM agents and tool use → Reinforcement learning for LLM agents
- Do World Action Models Generalize Better than VLAs? A Robustness StudyWorld models → Embodied and robot world models +1
- Autoregressive vs. Masked Diffusion Language Models: A Controlled ComparisonDiffusion models → Discrete and text diffusion
- Adapting Point Cloud Analysis via Multimodal Bayesian Distribution LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- On the Failure of Topic-Matched Contrast Baselines in Multi-Directional Refusal AbliterationLLM safety and security → Safety alignment, refusal and guardrails
- SpatialBoost: Enhancing Visual Representation through Language-Guided ReasoningLLM reasoning → Spatial and embodied reasoning
- Dual-Space Knowledge Distillation with Key-Query Matching for Large Language Models with Vocabulary MismatchKnowledge distillation → Knowledge distillation for LLMs
- Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DTVI: Dual-Stage Textual and Visual Intervention for Safe Text-to-Image GenerationDiffusion models → Robustness, privacy and adversarial aspects +1
- Tuning Real-World Image Restoration at Inference: A Test-Time Scaling Paradigm for Flow Matching ModelsDiffusion models → Inverse problems and image restoration
- ROM: Real-time Overthinking Mitigation via Streaming Detection and InterventionLLM reasoning → Test-time compute and efficient thinking
- VP-VLA: Visual Prompting as an Interface for Vision-Language-Action ModelsVision-language-action models → Reasoning and chain-of-thought in VLA
- SegMaFormer: A Hybrid State-Space and Transformer Model for Efficient SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- TREX: Trajectory Explanations for Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- SecureBreak -- A dataset towards safe and secure modelsLLM safety and security → Safety alignment, refusal and guardrails
- Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive RecipeLLM agents and tool use → Reinforcement learning for LLM agents +1
- Unified Spatiotemporal Token Compression for Video-LLMs at Ultra-Low RetentionEfficient LLM inference and serving → Visual token pruning in multimodal models
- FeatDistill: A Feature Distillation Enhanced Multi-Expert Ensemble Framework for Robust AI-generated Image DetectionKnowledge distillation → Detection and dense prediction distillation
- Guideline-grounded retrieval-augmented generation for ophthalmic clinical decision supportRetrieval-augmented generation → Medical and biomedical RAG
- Deep Reinforcement Learning and The Tale of Two Temporal Difference ErrorsDeep reinforcement learning methods → RL theory and sample complexity
- ADaFuSE: Adaptive Diffusion-generated Image and Text Fusion for Interactive Text-to-Image RetrievalDiffusion models → Image generation, text-to-image and editing
- Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image GenerationDiffusion models → Image generation, text-to-image and editing
- P^2O: Joint Policy and Prompt OptimizationLLM reasoning → Reinforcement learning for reasoning
- Manifold-Aware Exploration for Reinforcement Learning in Video GenerationLLM reasoning → Reinforcement learning for reasoning +1
- Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step GenerationDiffusion models → Video generation
- Holistic Scaling Laws for Optimal Mixture-of-Experts Architecture OptimizationMixture-of-experts → Expert routing strategies
- Climate Prompting: Generating the Madden-Julian Oscillation using Video Diffusion and Low-Dimensional ConditioningDiffusion models → Flow matching, time series and science
- Reasoning or Rhetoric? An Empirical Analysis of Moral Reasoning Explanations in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
All 435
- Shaping Scientific Explanations to Expert Perspectives with Persona-Conditioned Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Multi-View Deformable Convolution Meets Visual Mamba for Coronary Artery SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- SteelDefectX: A Multi-Form Vision-Language Dataset and Benchmark for Steel Surface Defect AnalysisMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- The Universal Normal EmbeddingDiffusion models → Diffusion foundations and sampling
- Online Adaptation of Visual Odometry Frontends with Image-Conditioned Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing SynthesisDiffusion models → Inverse problems and image restoration
- Let's Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual ThoughtsLLM reasoning → Multimodal reasoning
- Getting to the Point: Pointing Improves LVLMs at CountingLLM reasoning → Spatial and embodied reasoning
- CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- EvoIdeator: Evolving Scientific Ideas through Checklist-Grounded Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Can a Robot Walk the Robotic Dog: Triple-Zero Collaborative Navigation for Heterogeneous Multi-Agent SystemsLLM agents and tool use → Multimodal and embodied agents
- Probing How Scalable Table Data Enhances General Long-Context ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Uncertainty-Aware Distribution-to-Distribution Flow Matching for Scientific ImagingDiffusion models → Flow matching, time series and science
- FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor SearchRetrieval-augmented generation → Vector search and ANN indexes
- Data-Free Layer-Adaptive Merging via Fisher Information for Long-to-Short Reasoning LLMsLLM reasoning → Test-time compute and efficient thinking
- Rethinking Token Reduction for Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +2
- A Blueprint for Self-Evolving Coding Agents in Vehicle Aerodynamic Drag PredictionLLM agents and tool use → Software engineering coding agents
- Structured Visual Narratives Undermine Safety Alignment in Multimodal Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +3
- MIND: Multi-agent inference for negotiation dialogue in travel planningLLM agents and tool use → Social simulation and multi-agent debate
- Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian GainMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Reasoning Provenance for Autonomous AI Agents: Structured Behavioral Analytics Beyond State Checkpoints and Execution TracesLLM reasoning → Reasoning for agents, planning and code
- Thinking Deeper, Not Longer: Memory-Efficient Test-Time Reasoning with Depth-Recurrent Transformers for Compositional GeneralizationLLM reasoning → Test-time compute and efficient thinking
- TAMTRL: Teacher-Aligned Reward Reshaping for Multi-Turn Reinforcement Learning in Long-Context CompressionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +2
- Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and BenchmarksRetrieval-augmented generation → Privacy and security of RAG +1
- Are AI-assisted Development Tools Immune to Prompt Injection?LLM safety and security → Prompt injection and agent security
- EnterpriseLab: A Full-Stack Platform for developing and deploying agents in EnterprisesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Path-Space Mirror Descent for On-Policy Reinforcement Learning under the Generalized Schr"odinger BridgeDeep reinforcement learning methods → RL with diffusion and flow models
- AdaEdit: Adaptive Temporal and Channel Modulation for Flow-Based Image EditingDiffusion models → Image generation, text-to-image and editing
- AgenticRec: A Recommendation-Oriented Agentic Framework with Progressive Tool-Integrated Reasoning OptimizationLLM reasoning → LLM reasoning for recommendation +1
- DiT-Flow: Speech Enhancement Robust to Multiple Distortions based on Flow Matching in Latent Space and Diffusion TransformersDiffusion models → Audio, speech and music
- INTRYGUE: Induction-Aware Entropy Gating for Reliable RAG Uncertainty EstimationRetrieval-augmented generation → Hallucination detection in RAG
- SSAM: Singular Subspace Alignment for Merging Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Mind over Space: Can Multimodal Large Language Models Mentally Navigate?LLM reasoning → Spatial and embodied reasoning +1
- PRISM: Breaking the O(n) Memory Wall in Long-Context LLM Inference via O(1) Photonic Block SelectionEfficient LLM inference and serving → KV cache optimization
- Adaptive Robust Estimator for Multi-Agent Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code +1
- Toward a Theory of Hierarchical Memory for Language AgentsLLM agents and tool use → Agent memory systems
- Counterfactual Credit Policy Optimization for Multi-Agent CollaborationLLM reasoning → Reinforcement learning for reasoning +1
- From Part to Whole: 3D Generative World Model with an Adaptive Structural HierarchyWorld models → Video-generation world models and simulators
- AI In Cybersecurity Education -- Scalable Agentic CTF Design Principles and Educational OutcomesLLM agents and tool use → Agent threats, guardrails and governance
- PROBE: Diagnosing Residual Concept Capacity in Erased Text-to-Video Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- What Do World Models Learn in RL? Probing Latent Representations in Learned Environment SimulatorsWorld models → World models for language agents +1
- SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom IdentificationSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake DetectionLLM reasoning → Multimodal reasoning +1
- Efficient Failure Management for Multi-Agent Systems with Reasoning Trace RepresentationLLM reasoning → Reasoning for agents, planning and code +1
- Generalizable Self-Evolving Memory for Automatic Prompt OptimizationSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Effective Strategies for Asynchronous Software Engineering AgentsLLM agents and tool use → Software engineering coding agents
- Learning Trajectory-Aware Multimodal Large Language Models for Video Reasoning SegmentationLLM reasoning → Multimodal reasoning +1
- Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- ALADIN:Attribute-Language Distillation Network for Person Re-IdentificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DRTriton: Large-Scale Synthetic Data Driven Reinforcement Learning for Triton Kernel GenerationSynthetic data and self-improvement for LLMs → LLM synthetic data generation +1
- DSPA: Dynamic SAE Steering for Data-Efficient Preference AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- When Documents Disagree: Measuring Institutional Variation in Transplant Guidance with Retrieval-Augmented Language ModelsRetrieval-augmented generation → Medical and biomedical RAG
- AI-Driven Alpha Decay: Algorithmic Homogenization, Reflexive Signal Erosion, and the Paradox of Intelligent Markets
- Implicit Humanization in Everyday LLM Moral Judgments
- Transparent Screening for LLM Inference and Training Impacts
- CFMS: Towards Explainable and Fine-Grained Chinese Multimodal Sarcasm Detection Benchmark
- Brain-CLIPLM: Semantic Compression for EEG-to-Text Decoding
- EviSearch: Trustworthy Extraction and Synthesis of Clinical Trial Evidence with Agents that Improve with Use
- SeaAlert: Robust Severity Classification and LLM-Based Information Extraction for Noisy Maritime Distress Communications
- Decoupling Scores and Text: The Politeness Principle in Peer Review
- Can Large Language Models Detect Methodological Flaws? Evidence from Gesture Recognition for UAV-Based Rescue Operation Based on Deep Learning
- HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalization
- MemGround: Long-Term Memory Evaluation Kit for Large Language Models in Gamified Scenarios
- PA-SFM: Tracker-free differentiable acoustic radiation for freehand 3D photoacoustic imaging
- From experimentation to engagement: on the paradox of participatory AI and power in contexts of forced displacement and humanitarian crises
- Artificial Intelligence and Systemic Risk: A Unified Model of Performative Prediction, Algorithmic Herding, and Cognitive Dependency in Financial Markets
- A Camera-Native Talking-Head Video Dataset for Various Computer Vision Tasks
- Tiny-ViT: A Compact Vision Transformer for Efficient and Explainable Potato Leaf Disease Classification
- An Intelligent Framework for Real-Time Yoga Pose Detection and Posture Correction
- Physics-Aware Diffusion for LiDAR Point Cloud Densification
- GradAttn: Replacing Fixed Residual Connections with Task-Modulated Attention Pathways
- Domain-Guided YOLO26 with Composite BCE-Dice-Lov'asz Loss for Multi-Class Fetal Head Ultrasound Segmentation
- Generating Synthetic Wildlife Health Data from Camera Trap Imagery: A Pipeline for Alopecia and Body Condition Training Data
- Survey on Remote Sensing Scene Classification: From Traditional Methods to Large Generative AI Models
- Training-Free Diffusion-Driven Modeling of Pareto Set Evolution for Dynamic Multiobjective Optimization
- LARD 2.0: Enhanced Datasets and Benchmarking for Autonomous Landing Systems
- TDEC: Deep Embedded Image Clustering with Transformer and Distribution Information
- Motion Semantics Guided Normalizing Flow for Privacy-Preserving Video Anomaly Detection
- CNMBI: Determining the Number of Clusters Using Center Pairwise Matching and Boundary Filtering
- Upper Entropy for 2-Monotone Lower Probabilities
- Drop-In Perceptual Optimization for 3D Gaussian Splatting
- MAGICIAN: Efficient Long-Term Planning with Imagined Gaussians for Active Mapping
- Pretext Matters: An Empirical Study of SSL Methods in Medical Imaging
- Overfitting and Generalizing with (PAC) Bayesian Prediction in Noisy Binary Classification
- Multi-Method Validation of Large Language Model Medical Translation Across High- and Low-Resource Languages
- Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals
- CAM3R: Camera-Agnostic Model for 3D Reconstruction
- LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation
- Single-Subject Multi-View MRI Super-Resolution via Implicit Neural Representations
- PIVM: Diffusion-Based Prior-Integrated Variation Modeling for Anatomically Precise Abdominal CT Synthesis
- Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion
- A Vision Language Model for Generating Procedural Plant Architecture Representations from Simulated Images
- Transfer learning via interpolating structures
- Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions
- Do Consumers Accept AIs as Moral Compliance Agents?
- Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length
- Dress-ED: Instruction-Guided Editing for Virtual Try-On and Try-Off
- TrajLoom: Dense Future Trajectory Generation from Video
- Precision-Varying Prediction (PVP): Robustifying ASR systems against adversarial attacks
- flexvec: SQL Vector Retrieval with Programmatic Embedding Modulation
- A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks
- CAPITU: A Benchmark for Evaluating Instruction-Following in Brazilian Portuguese with Literary Context
- FullCircle: Effortless 3D Reconstruction from Casual 360^circ Captures
- CanViT: Toward Active-Vision Foundation Models
- Reddit After Roe: A Computational Analysis of Abortion Narratives and Barriers in the Wake of Dobbs
- MIOFlow 2.0: A unified framework for inferring cellular stochastic dynamics from single cell and spatial transcriptomics data
- AI Mental Models: Learned Intuition and Deliberation in a Bounded Neural Architecture
- Maximum Entropy Relaxation of Multi-Way Cardinality Constraints for Synthetic Population Generation
- Generalized multi-object classification and tracking with sparse feature resonator networks
- UrbanVGGT: Scalable Sidewalk Width Estimation from Street View Images
- Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment
- Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates
- LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface
- High Resolution Flood Extent Detection Using Deep Learning with Random Forest Derived Training Labels
- Generating and Evaluating Sustainable Procurement Criteria for the Swiss Public Sector using In-Context Prompting with Large Language Models
- Research Novelty in Information Systems Journals After ChatGPT: Differences Across Institutional Language Contexts
- OrgForge-IT: A Verifiable Synthetic Benchmark for LLM-Based Insider Threat Detection
- Rashid: A Cipher-Based Framework for Exploring In-Context Language Learning
- Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games
- Component Ablation for Efficient Hybrid Language Model Architectures: Performance, Resilience, and Compression Implications
- Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots
- Stability-Preserving Online Adaptation of Neural Closed-loop Maps
- SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation
- Color When It Counts: Grayscale-Guided Online Triggering for Always-On Streaming Video Sensing
- A Theoretical Framework for Energy-Aware Gradient Pruning in Federated Learning
- LLM-guided headline rewriting for clickability enhancement without clickbait
- XNote: Benchmarking Automated Community Notes Generation for Image-based Contextual Deception
- Static Scene Reconstruction from Dynamic Egocentric Videos
- mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption
- Neural Structure Embedding for Symbolic Regression via Continuous Structure Search and Coefficient Optimization
- OsteoFlow: Lyapunov-Guided Flow Distillation for Predicting Bone Remodeling after Mandibular Reconstruction
- Spatially-Aware Evaluation Framework for Aerial LiDAR Point Cloud Semantic Segmentation: Distance-Based Metrics on Challenging Regions
- Computational Arbitrage in AI Model Markets
- Probabilistic modeling over permutations using quantum computers
- Latent Style-based Quantum Wasserstein GAN for Drug Design
- Efficient Universal Perception Encoder
- Symbolic Graph Networks for Robust PDE Discovery from Noisy Sparse Data
- Instruction-Tuned, but Not More Verifiable Instruction-Following: A Cross-Task Diagnosis for LoRA Adapters
- Abnormalities and Disease Detection in Gastro-Intestinal Tract Images
- Rethinking Multimodal Fusion for Time Series: Text Modalities Need Constrained Fusion
- FAAR: Format-Aware Adaptive Rounding for NVFP4
- SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts
- Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
- Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
- Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework
- UniMotion: A Unified Framework for Motion-Text-Vision Understanding and Generation
- Scaling DoRA: High-Rank Adaptation via Factored Norms and Fused Kernels
- GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning
- TiCo: Time-Controllable Spoken Dialogue Model
- Greater accessibility can amplify discrimination in generative AI
- Characterizing High-Capacity Janus Aminobenzene-Graphene Anode for Sodium-Ion Batteries with Machine Learning
- EgoGroups: A Benchmark For Detecting Social Groups of People in the Wild
- ShapDBM: Exploring Decision Boundary Maps in Shapley Space
- One Model, Two Markets: Bid-Aware Generative Recommendation
- Riverine Land Cover Mapping through Semantic Segmentation of Multispectral Point Clouds
- Benchmarking Deep Learning Models for Aerial LiDAR Point Cloud Semantic Segmentation under Real Acquisition Conditions: A Case Study in Navarre
- Dyadic: A Scalable Platform for Human-Human and Human-AI Conversation Research
- Adapting Self-Supervised Speech Representations for Cross-lingual Dysarthria Detection in Parkinson's Disease
- Noise Titration: Exact Distributional Benchmarking for Probabilistic Time Series Forecasting
- Evaluating the Reliability and Fidelity of Automated Judgment Systems of Large Language Models
- SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection
- Identification of physiological shock in intensive care units via Bayesian regime switching models
- Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning
- CayleyPy-4: AI-Holography. Towards analogs of holographic string dualities for AI tasks
- PAM: A Pose-Appearance-Motion Engine for Sim-to-Real HOI Video Generation
- A Backbone Benchmarking Study on Self-supervised Learning as a Auxiliary Task with Texture-based Local Descriptors for Face Analysis
- Calibeating Made Simple
- Causal Evidence that Language Models use Confidence to Drive Behavior
- Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes
- Multimodal Survival Analysis with Locally Deployable Large Language Models
- RAMPAGE: RAndomized Mid-Point for debiAsed Gradient Extrapolation
- dynActivation: A Trainable Activation Family for Adaptive Nonlinearity
- Beyond Matching to Tiles: Bridging Unaligned Aerial and Satellite Views for Vision-Only UAV Navigation
- More Isn't Always Better: Balancing Decision Accuracy and Conformity Pressures in Multi-AI Advice
- The Semantic Ladder: A Framework for Progressive Formalization of Natural Language Content for Knowledge Graphs and AI Systems
- Computationally lightweight classifiers with frequentist bounds on predictions
- Biophysics-Enhanced Neural Representations for Patient-Specific Respiratory Motion Modeling
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