---
id: 20260421-T0-02
title: "LACE：跨线程探索的格点注意力机制"
title_en: "LACE: Lattice Attention for Cross-Thread Exploration"
url: https://ai.daily.yangsir.net/daily/20260421-T0-02
issue_date: 2026-04-21
publish_date: 2026-04-20T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2604.15529
---

# LACE：跨线程探索的格点注意力机制

arXiv论文提出LACE框架，解决当前大模型推理路径孤立的问题。通过引入格点注意力机制，LACE允许并行采样的推理轨迹相互交互，减少冗余失败。实验显示，该方法在复杂推理任务中显著提高了成功率，为提升大模型集体智能提供了新思路。

## English Version

**LACE: Lattice Attention for Cross-Thread Exploration**

arXiv paper introduces LACE framework to address current LLM reasoning path isolation. Using lattice attention mechanism, LACE enables interaction between parallel sampled reasoning trajectories, reducing redundant failures. Experiments show significant success rate improvement in complex reasoning tasks, offering new insights for enhancing collective intelligence in large models.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2604.15529)

**详情页**：https://ai.daily.yangsir.net/daily/20260421-T0-02

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