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 how often this happens and check whether the model represents the two cases dif