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News/Safety and accuracy diverge across deployment conditions in clinical large language models
arxiv
PublishedNovember 10, 2026 at 5:00 AM

Safety and accuracy diverge across deployment conditions in clinical large language models

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arXiv:2605.04039v2 Announce Type: replace Abstract: Clinical large language models (LLMs) are commonly scaled by increasing model size, context length, retrieval complexity, or inference-time compute, on the assumption that higher accuracy implies safer behavior. In medicine, where a few confident o

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