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cs.CL2026
Evaluating Large Language Models on Misconceptions in Multi-Turn Medical Conversations
Monica Munnangi, Saiph Savage
Patients seeking medical information often ask questions that embed incorrect assumptions or misconceptions. In such cases, safe medical communication requires not only answering t…
cs.CL2026
ThReadMed-QA: A Multi-Turn Medical Dialogue Benchmark from Real Patient Questions
Monica Munnangi, Saiph Savage
Medical question-answering benchmarks predominantly evaluate single-turn exchanges, failing to capture the iterative, clarification-seeking nature of real patient consultations. We…