PAC-Bayesian Meta-Learning for Few-Shot Identification of Linear Dynamical Systems
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Causal Localization of the Refusal Direction in Audio Language Models
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Guiding the coarse levels of semantic IDs makes the fine levels learnable
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Stochastic Flow Map for Count Data
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Goal-driven Variant Categorization
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PAANI : On Device Visual Evidence Fusion and Explainable Guidance for River Robot Simulation
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How Do LLMs Cite? A Mechanistic Interpretation of Attribution in Retrieval-Augmented Generation
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Leveraging Industrial Foundation Models at the Edge of Particle Physics Detectors via Distillation Learning and Hardware Co-design
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Few-class Fidelity: Evaluating Explanations of Real-conditions CNN classifiers with Optimized Perturbations
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Can Generalist Agents Automate Data Curation?
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Characterizing Model-Native Skills
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NAVIR: Neuromorphic Audio-Visual Speech Recognition for Robust Human-Robot Interaction on Edge Hardware
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