---
id: 20260414-T0-05
title: "导师-学生多智能体交互提升LLM问题解决能力"
title_en: "Tutor-Student Multi-Agent Interaction Enhances LLM Problem Solving"
url: https://ai.daily.yangsir.net/daily/20260414-T0-05
issue_date: 2026-04-14
publish_date: 2026-04-13T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2604.08931
---

# 导师-学生多智能体交互提升LLM问题解决能力

受人类认知发展中的结构化社交互动启发，研究者发现导师-学生角色交互模式能显著提升AI系统的问题解决能力。通过模拟这种基于角色的知识交换，多个AI智能体能够合作解决单个智能体无法独立完成的复杂问题。论文探索了这种协作机制在提升LLM推理能力方面的潜力，发表于arXiv:2604.08931v1。

## English Version

**Tutor-Student Multi-Agent Interaction Enhances LLM Problem Solving**

Inspired by human cognitive development through structured social interaction, researchers find that tutor-student role-based exchanges significantly enhance AI problem-solving. Multiple AI agents can collaboratively solve complex problems beyond individual capabilities, with potential to improve LLM reasoning (arXiv:2604.08931v1).

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2604.08931)

**详情页**：https://ai.daily.yangsir.net/daily/20260414-T0-05

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*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*