---
id: 20260602-T0-10
title: "SLAT技术提升LLM链式推理效率"
title_en: "SLAT Trims Redundancy in LLM Reasoning"
url: https://ai.daily.yangsir.net/daily/20260602-T0-10
issue_date: 2026-06-02
publish_date: 2026-06-01T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2605.30832
---

# SLAT技术提升LLM链式推理效率

SLAT通过段级自适应修剪技术优化LLM的链式推理过程，减少冗余计算。该方法在保持推理准确性的同时，显著提升大推理模型的计算效率。

## English Version

**SLAT Trims Redundancy in LLM Reasoning**

SLAT introduces segment-level adaptive trimming to eliminate structural redundancy in LLM reasoning chains. The method maintains accuracy while significantly improving computational efficiency for large reasoning models.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2605.30832)

**详情页**：https://ai.daily.yangsir.net/daily/20260602-T0-10

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