---
id: 20260708-T0-17
title: "主动思考机制让LLM对话更及时自然，减少等待延迟"
title_en: "Proactive Thinking Reduces LLM Response Latency in Dialogue"
url: https://ai.daily.yangsir.net/daily/20260708-T0-17
issue_date: 2026-07-08
publish_date: 2026-07-07T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2607.03093
---

# 主动思考机制让LLM对话更及时自然，减少等待延迟

新研究提出主动思考方法（Proactive Thinking），让大型语言模型在对话中提前进行思考推理，而不是被动等待用户回复后才开始推理。该方法旨在减少响应延迟，使对话更及时自然。论文发布于arXiv。

## English Version

**Proactive Thinking Reduces LLM Response Latency in Dialogue**

A new paper proposes Proactive Thinking, a method that enables LLMs to engage in reasoning before receiving a user's next response, rather than reactively waiting. This approach aims to reduce latency and make dialogues more responsive and natural. Paper on arXiv.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2607.03093)

**详情页**：https://ai.daily.yangsir.net/daily/20260708-T0-17

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