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Context-Enriched Natural Language Descriptions of Vessel Trajectories
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From Garbage to Gold: A Data-Architectural Theory of Predictive Robustness
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Sparsity and Out-of-Distribution Generalization
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Feed m Birds with One Scone: Accelerating Multi-task Gradient Balancing via Bi-level Optimization
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Deterministic Fuzzy Triage for Legal Compliance Classification and Evidence Retrieval
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Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams
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AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions
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Interpretable Aneurysm Classification via 3D Concept Bottleneck Models: Integrating Morphological and Hemodynamic Clinical Features
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VIVECaption: A Split Approach to Caption Quality Improvement
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Generalizing Linear Autoencoder Recommenders with Decoupled Expected Quadratic Loss
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Prompt-Based Caption Generation for Single-Tooth Dental Images Using Vision-Language Models
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Adaptive Capacity Allocation for Vision Language Action Fine-tuning
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UnSCAR: Universal, Scalable, Controllable, and Adaptable Image Restoration
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Safety Under Scaffolding: How Evaluation Conditions Shape Measured Safety
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Machine Learning for the Internet of Underwater Things: From Fundamentals to Implementation
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QdaVPR: A novel query-based domain-agnostic model for visual place recognition
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Context Channel Capacity: An Information-Theoretic Framework for Understanding Catastrophic Forgetting
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DualSpec: Accelerating Deep Research Agents via Dual-Process Action Speculation
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Dynamic Vehicle Routing Problem with Prompt Confirmation of Advance Requests
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AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
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Disentangled Textual Priors for Diffusion-based Image Super-Resolution
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OrthoFormer: Instrumental Variable Estimation in Transformer Hidden States via Neural Control Functions
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Generalization in Online Reinforcement Learning for Mobile Agents
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Data Agent: Learning to Select Data via End-to-End Dynamic Optimization
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RPG-SAM: Reliability-Weighted Prototypes and Geometric Adaptive Threshold Selection for Training-Free One-Shot Polyp Segmentation
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Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part II
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Machine Learning for Stress Testing: Uncertainty Decomposition in Causal Panel Prediction
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DogWeave: High-Fidelity 3D Canine Reconstruction from a Single Image via Normal Fusion and Conditional Inpainting
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Med-Evo: Test-time Self-evolution for Medical Multimodal Large Language Models
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HLER: Human-in-the-Loop Economic Research via Multi-Agent Pipelines for Empirical Discovery
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Few Tokens, Big Leverage: Preserving Safety Alignment by Constraining Safety Tokens during Fine-tuning
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Discrete Tokenization Unlocks Transformers for Calibrated Tabular Forecasting
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Dial: A Knowledge-Grounded Dialect-Specific NL2SQL System
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Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs
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SLNet: A Super-Lightweight Geometry-Adaptive Network for 3D Point Cloud Recognition
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Image Generation Models: A Technical History
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"Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Work
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Where Do LLM-based Systems Break? A System-Level Security Framework for Risk Assessment and Treatment
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The Dual-Stream Transformer: Channelized Architecture for Interpretable Language Modeling
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Do Machines Fail Like Humans? A Human-Centred Out-of-Distribution Spectrum for Mapping Error Alignment
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SIGMAE: A Spectral-Index-Guided Foundation Model for Multispectral Remote Sensing
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Selective Transfer Learning of Cross-Modality Distillation for Monocular 3D Object Detection
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Classifying Novel 3D-Printed Objects without Retraining: Towards Post-Production Automation in Additive Manufacturing
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Trusting What You Cannot See: Auditable Fine-Tuning and Inference for Proprietary AI
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Probabilistic Inference and Learning with Stein's Method
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FedEU: Evidential Uncertainty-Driven Federated Fine-Tuning of Vision Foundation Models for Remote Sensing Image Segmentation
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Towards Lightweight Adaptation of Speech Enhancement Models in Real-World Environments
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Contact-Guided 3D Genome Structure Generation of E. coli via Diffusion Transformers
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Give Them an Inch and They Will Take a Mile:Understanding and Measuring Caller Identity Confusion in MCP-Based AI Systems
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Cross-Modal Taxonomic Generalization in (Vision-) Language Models
