LLMs that push back on a wrong user still accept the same wrong answer from a "verified source" - NeurIPS 2026 [R]
I'm one of the authors. We kept seeing models that hold their ground when the user insists on a wrong answer, yet change their answer when the same claim is framed as coming from a "verified source". We wanted to measure
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