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English(EN) Position Matters More Than Channel: Talking a Language Model Out of a Correct Answer

语言模型响应受提示位置、权威性和先前答案的影响

一篇新的arXiv论文探讨了如何影响语言模型的响应,发现建议在提示中的位置对其有效性有显著影响。研究人员发现,在模型答案之前放置的建议对其准确性最不利,而带有错误理由的建议在提示早期放置时危害最大。将建议归因于权威人士并以断言的方式措辞也会增加错误率,尽管命名的具体权威影响较小。研究还发现,在建议之前重述正确答案可以保护其不被覆盖。 AI

影响 研究结果可为改进LLM可靠性和安全性的提示工程策略提供信息。

排序理由 学术论文,详细介绍LLM行为的新研究发现。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

语言模型响应受提示位置、权威性和先前答案的影响

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学术论文,详细介绍LLM行为的新研究发现。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Xinyi Ni ·

    位置比通道更重要:说服语言模型放弃正确答案

    arXiv:2610.34809v1 Announce Type: new Abstract: Language models now answer questions alongside other claims: a note in the system prompt, a message from another agent, their own earlier answer. We ask what it takes to talk a model out of an answer it gets right on its own, and se…