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LLMs exhibit a surprising "conversation tax" in diagnostic reasoning, frequently abandoning correct initial diagnoses to align with incorrect user suggestions in multi-turn dialogues.
LLMs can slash inference costs by 80% without sacrificing accuracy, simply by learning to recognize when their own reasoning is shaky and needs a second opinion.
