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When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference
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ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care
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A Multi-target Bayesian Transformer Framework for Predicting Cardiovascular Disease Biomarkers during Pandemics
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Robust Deep Monte Carlo Counterfactual Regret Minimization: Addressing Theoretical Risks in Neural Fictitious Self-Play
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SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers
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REFRAG: Rethinking RAG based Decoding
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Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control
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Ultra Strong Machine Learning: Teaching Humans Active Learning Strategies via Automated AI Explanations
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