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Dress-ED: Instruction-Guided Editing for Virtual Try-On and Try-Off
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Understanding LLM Performance Degradation in Multi-Instance Processing: The Roles of Instance Count and Context Length
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Do Consumers Accept AIs as Moral Compliance Agents?
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Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning
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Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions
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Transfer learning via interpolating structures
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A Vision Language Model for Generating Procedural Plant Architecture Representations from Simulated Images
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To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models
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Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion
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Upper Entropy for 2-Monotone Lower Probabilities
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PIVM: Diffusion-Based Prior-Integrated Variation Modeling for Anatomically Precise Abdominal CT Synthesis
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Single-Subject Multi-View MRI Super-Resolution via Implicit Neural Representations
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LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation
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CAM3R: Camera-Agnostic Model for 3D Reconstruction
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Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature
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Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals
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Q-Tacit: Image Quality Assessment via Latent Visual Reasoning
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Multi-Method Validation of Large Language Model Medical Translation Across High- and Low-Resource Languages
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CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training
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Overfitting and Generalizing with (PAC) Bayesian Prediction in Noisy Binary Classification
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AwesomeLit: Towards Hypothesis Generation with Agent-Supported Literature Research
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Pretext Matters: An Empirical Study of SSL Methods in Medical Imaging
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MAGICIAN: Efficient Long-Term Planning with Imagined Gaussians for Active Mapping
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Cross-Context Verification: Hierarchical Detection of Benchmark Contamination through Session-Isolated Analysis
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Compressive single-pixel imaging via a wavelength-multiplexed spatially incoherent diffractive optical processor
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When Documents Disagree: Measuring Institutional Variation in Transplant Guidance with Retrieval-Augmented Language Models
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DSPA: Dynamic SAE Steering for Data-Efficient Preference Alignment
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EpiMask: Leveraging Epipolar Distance Based Masks in Cross-Attention for Satellite Image Matching
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DRTriton: Large-Scale Synthetic Data Reinforcement Learning for Triton Kernel Generation
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Beyond Correlation: Refutation-Validated Aspect-Based Sentiment Analysis for Explainable Energy Market Returns
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Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems
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TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wild
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ALADIN:Attribute-Language Distillation Network for Person Re-Identification
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Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models
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Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies
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GaussianSSC: Triplane-Guided Directional Gaussian Fields for 3D Semantic Completion
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Learning Trajectory-Aware Multimodal Large Language Models for Video Reasoning Segmentation
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Effective Strategies for Asynchronous Software Engineering Agents
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Learning Can Converge Stably to the Wrong Belief under Latent Reliability
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Multinoulli Extension: A Lossless Continuous Relaxation for Partition-Constrained Subset Selection
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StreamingEval: A Unified Evaluation Protocol towards Realistic Streaming Video Understanding
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Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment
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RuntimeSlicer: Towards Generalizable Unified Runtime State Representation for Failure Management
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A Framework for Closed-Loop Robotic Assembly, Alignment and Self-Recovery of Precision Optical Systems
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Quotient Geometry, Effective Curvature, and Implicit Bias in Simple Shallow Neural Networks
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Parameter-efficient Prompt Tuning and Hierarchical Textual Guidance for Few-shot Whole Slide Image Classification
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Optimizing Feature Extraction for On-device Model Inference with User Behavior Sequences
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Unregistered Spectral Image Fusion: Unmixing, Adversarial Learning, and Recoverability
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Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection
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Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework
