---
id: 20260515-T0-10
title: "CHAL：新型多智能体辩论框架提升LLM推理"
title_en: "CHAL: Multi-Agent Debate Framework Boosts LLM Reasoning"
url: https://ai.daily.yangsir.net/daily/20260515-T0-10
issue_date: 2026-05-15
publish_date: 2026-05-14T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2605.12718
---

# CHAL：新型多智能体辩论框架提升LLM推理

arXiv论文提出CHAL框架，通过层级化智能体辩论解决传统方法的局限性。该框架避免了传统辩论中的鞅过程问题，通过分布式投票机制提升LLM在真实任务中的推理准确性，实验效果优于现有方案。

## English Version

**CHAL: Multi-Agent Debate Framework Boosts LLM Reasoning**

The CHAL paper introduces a hierarchical multi-agent debate framework that overcomes limitations in current approaches. It avoids martingale behavior in belief trajectories and uses distributed voting to improve LLM reasoning accuracy on ground-truth tasks, outperforming existing methods.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2605.12718)

**详情页**：https://ai.daily.yangsir.net/daily/20260515-T0-10

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