---
id: 20260409-T0-09
title: "π²数据提升大模型长上下文推理能力"
title_en: "π² Data Improves LLMs' Long-Context Reasoning"
url: https://ai.daily.yangsir.net/daily/20260409-T0-09
issue_date: 2026-04-09
publish_date: 2026-04-08T04:00:00.000Z
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2604.05114
---

# π²数据提升大模型长上下文推理能力

研究提出π²方法，通过结构化数据增强大模型长上下文推理能力。该方法从初始结构化数据中提取高质量推理数据，通过严格QA筛选、元数据注入和混合验证构建训练集。实验显示，π²将大模型在长上下文任务中的准确率提升15%，特别是在需要多步推理的复杂问题中效果显著。该方法为提升大模型处理长文本的能力提供了新思路。

## English Version

**π² Data Improves LLMs' Long-Context Reasoning**

Researchers present π², which improves LLMs' long-context reasoning using structured data. It extracts high-quality reasoning data through strict QA curation, metadata injection, and mixed validation. Experiments show π² boosts accuracy by 15% in long-context tasks, especially for complex multi-step reasoning problems. This offers a new approach to enhancing LLMs' long-text processing.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2604.05114)

**详情页**：https://ai.daily.yangsir.net/daily/20260409-T0-09

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