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Civic A.I. Lab, Northeastern University
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The rise of LLM agents threatens to erase the clarity of authorship and accountability in collaborative knowledge work, raising urgent questions about intellectual integrity.
Even top-performing LLMs struggle to maintain accuracy in correcting medical misconceptions, with performance plummeting from 85% to 50% over just two follow-up questions.
Even the best LLMs struggle with multi-turn medical dialogues, with error rates tripling by the third turn and a single wrong answer significantly increasing the probability of subsequent errors.