A Simulation-Grounded Agentic VLM Framework for Wildfire Monitoring and Reporting
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FactorSplat: Appearance-Controllable Gaussian Proxies for Medical Volume Rendering
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Evaluating Multi-Dimensional Generalization of Large Language Models in Temporal Extraction Tasks
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Hybrid Machine Learning-Assisted Raman Spectroscopy with Generative Feature Augmentation for Pharmaceutical Identification
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Approximation Property of Dropout Neural Networks: Sobolev Rates and Confidence Bounds
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Traversing the Satisfaction-Diversity Frontier in Text-to-Image Diffusion
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Counterexample Generation via Per-Theorem Symbolic Verifiers: When Imitation Hurts and Reinforcement Repairs
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An AI-Based Multi-Stage Approach for Androgenetic Alopecia Assessment from Low-Magnification Scalp Images
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Reinforcement Learning Techniques for the Optimization of Target Polarization in Nuclear Physics Scattering Experiments
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MEA: A Reward-Driven Multi-Agent System for Faithful Model Explanations
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From Retrieval to Typed Decisions: Calibrated System One Models from Biomedical Sentence Encoders
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When Terminal-Agent Training Stalls: Demystifying Data Generation and Verification Challenge
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