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English(EN) Accurate but Not Humble: Evaluating Epistemic Humility in LLM Agents under Knowledge Conflict

新研究评估大型语言模型代理在面对冲突数据时的“认知谦逊度”· 跟踪3 个来源

作者 PulseAugur 编辑部 · [3 个来源] ·

一篇新的研究论文引入了“认知谦逊度”（EH）的概念来评估大型语言模型（LLM）代理，重点关注它们如何处理冲突信息。该研究“准确但不谦虚：在知识冲突下评估大型语言模型代理的认知谦逊度”提出，在面对矛盾证据时，衡量代理识别、应对和沟通不确定性的能力。研究人员发现，高任务准确性并不总是与认知谦逊度相关，因为一些代理可能会检测到冲突，但在最终输出中未能沟通其不确定性。该论文建议，提高 EH 可能需要采取措施来平衡准确性与代理对其知识局限性的认识。 AI

影响 这项研究强调了当前大型语言模型代理评估中的一个关键差距，可能推动更可靠、更值得信赖的人工智能系统的发展。

排序理由 该集群是关于一篇详细介绍大型语言模型代理新评估方法的学术论文。

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新研究评估大型语言模型代理在面对冲突数据时的“认知谦逊度”· 跟踪3 个来源

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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Kaiser Sun, Bernal Jimenez Gutierrez, Hongjun Liu, Jingyu Zhang, Jie Gao, Mark Dredze, Daniel Khashabi ·

    准确但不谦逊：在知识冲突下评估大型语言模型代理的认知谦逊度

    arXiv:2610.12360v1 Announce Type: new Abstract: When retrieved evidence contradicts an agent's prior beliefs, does it revise its answer, acknowledge uncertainty, or persist with an incorrect conclusion? Existing evaluations of agentic systems focus primarily on task success, offe…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    准确但不谦逊：在知识冲突下评估大型语言模型代理的认知谦逊度

    When retrieved evidence contradicts an agent's prior beliefs, does it revise its answer, acknowledge uncertainty, or persist with an incorrect conclusion? Existing evaluations of agentic systems focus primarily on task success, offering limited insight into how agents handle such…

  3. dev.to — LLM tag TIER_1 English(EN) · mech.app ·

    Agent评估中的认识论谦逊：检索到的证据与模型的先验信念相矛盾时会发生什么

    <p>Existing agent evals measure task success. They do not measure what happens when the agent's retrieval layer returns evidence that contradicts its training data. A new paper from Sun et al. (arXiv 2610.12360v1) introduces <strong>epistemic humility</strong> as an eval dimensio…

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