AnalysisAI ModelsOctober 1, 2026

NeurIPS 2026 paper: LLMs cave to wrong answers framed as verified sources

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Authors measured how often models that hold their ground against an insistent wrong user still flip when the same claim is framed as coming from a "verified source." They also probed whether the model represents the two cases differently internally.

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