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Author

Monica Munnangi

Northeastern University

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Jul 2026

Evaluating Large Language Models on Misconceptions in Multi-Turn Medical Conversations

ThReadMed-QA is introduced, a multi-turn medical dialogue dataset of 2,437 patient-physician conversation threads comprising 8,204 question-answer pairs that enables systematic evaluation of whether models can detect and correct misconceptions under a multi-turn context.

Monica Munnangi, Saiph Savage · 0 citations

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