---
id: 20260430-T0-10
title: "强化学习如何让LLM泛化：特征级机制研究"
title_en: "How RL Makes LLMs Generalize: Feature-Level Study"
url: https://ai.daily.yangsir.net/daily/20260430-T0-10
issue_date: 2026-04-30
publish_date: 2026-04-29T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2604.25011
---

# 强化学习如何让LLM泛化：特征级机制研究

通过特征层面的机制分析，研究揭示了强化学习如何提升LLM的泛化能力，而监督微调则可能导致泛化能力下降。该发现为模型训练优化提供了重要指导。

## English Version

**How RL Makes LLMs Generalize: Feature-Level Study**

A feature-level mechanistic study reveals how reinforcement learning enhances LLM generalization, while supervised fine-tuning often reduces it. This finding offers critical guidance for model training optimization.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2604.25011)

**详情页**：https://ai.daily.yangsir.net/daily/20260430-T0-10

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*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*