Large Language Models Perform Diagnostic Reasoning

07/18/2023

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by   Cheng-Kuang Wu, et al.

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We explore the extension of chain-of-thought (CoT) prompting to medical reasoning for the task of automatic diagnosis. Motivated by doctors' underlying reasoning process, we present Diagnostic-Reasoning CoT (DR-CoT). Empirical results demonstrate that by simply prompting large language models trained only on general text corpus with two DR-CoT exemplars, the diagnostic accuracy improves by 15 pronounced 18 reasoning in large language models can be elicited through proper promptings.