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English(EN) Learning When Human Decisions Matter: Executor-Relative Consultation Value for LLM Agents

新方法帮助LLM代理决定何时咨询人类

研究人员开发了一种名为咨询价值蒸馏(CVD)的新方法,以帮助大型语言模型(LLM)代理决定何时咨询人类以获取输入。该方法估计人类决策的价值,该价值可能因将使用输入的特定代理而异。CVD使用蒙特卡洛模拟离线学习这些价值,并将其蒸馏成预测器以进行有效分配,在各种设置中优于直接提示和传统信息价值方法。 AI

影响 这项研究可以通过优化人机协作来提高LLM代理的效率,有可能在复杂任务中实现更有效的部署。

排序理由 详细介绍LLM代理新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新方法帮助LLM代理决定何时咨询人类

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详细介绍LLM代理新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Shuli Jiang, Khushbu Pahwa, Yuting Zhang, Yi Zhang, Wei Xia, Stefano Soatto ·

    学习人类决策何时重要:LLM代理的执行者相关咨询价值

    arXiv:2611.05814v1 Announce Type: cross Abstract: Large language models increasingly automate complex tasks, but human decision capacity does not scale with their capabilities. In many applications, humans remain essential for providing private context, authority, or judgments un…