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Hyeonhoon Lee

2 accepted papers

2025

BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum

EMNLP 2025

Large Language Models (LLMs) as agents require careful behavioral adaptation. While adept at reactive tasks (e.g., medical reasoning), LLMs often struggle with proactive engagement, like unprompted identification of critical missing information or risks. We introduce **BehaviorBench**, a comprehensi

2024

MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making

NeurIPS 2024oral

Foundation models are becoming valuable tools in medicine. Yet despite their promise, the best way to leverage Large Language Models (LLMs) in complex medical tasks remains an open question. We introduce a novel multi-agent framework, named **M**edical **D**ecision-making **Agents** (**MDAgents**) t…