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Pre-training on nasal vs. oral context lets a simple model beat large pre-trained speech models at detecting speech disorders in noisy, real-world settings.
LLMs exhibit a surprising "conversation tax" in diagnostic reasoning, frequently abandoning correct initial diagnoses to align with incorrect user suggestions in multi-turn dialogues.
