---
id: 20260621-T0-03
title: "LLM Agent不确定性分解：交互式模型的新评估框架"
title_en: "Uncertainty Decomposition for Clarification Seeking in LLM Agents"
url: https://ai.daily.yangsir.net/daily/20260621-T0-03
issue_date: 2026-06-21
publish_date: 2026-06-20T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2606.19559
---

# LLM Agent不确定性分解：交互式模型的新评估框架

arXiv新论文提出，传统的随机/认知不确定性框架不足以应对交互式LLM Agent。研究提出了一种新的、可分解的不确定性表示方法。

## English Version

**Uncertainty Decomposition for Clarification Seeking in LLM Agents**

A new arXiv paper argues that classical uncertainty frameworks are insufficient for interactive LLM agents. It proposes a decomposed, communicable representation for uncertainty.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2606.19559)

**详情页**：https://ai.daily.yangsir.net/daily/20260621-T0-03

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