即使收到明确虚假警告，大语言模型仍会相信虚假陈述
一项新研究显示，大型语言模型（LLM）在被告知某条信息为虚假后，仍会将其视为事实依据。研究人员发现，即使用户明确警告模型某陈述是假的，模型在后续推理中依然会基于该虚假信息作答。这表明当前LLM在事实核查和错误信息修正方面存在根本性缺陷，仅靠提示词警告不足以纠正模型已"学习"的错误知识。
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