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University of Illinois Urbana-Champaign
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Rationale-based fine-tuning may actually undermine clinical prediction accuracy, challenging the belief that teaching models "why" can enhance their performance.
LLMs struggle with adaptive planning, achieving only 67.75% accuracy when faced with progressively revealed world and user constraints.
