# Decoupling Internal Representational Changes and Causal Importance in Fine-Tuned Large Language Models

> 标题为英语

> 全文为英语

**Published:** 2026年9月22日
**Author:** Lingfang Li, Procheta Sen, Shubham Das, Danushka Bollegala
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/decoupling-internal-representational-changes-and-causal-importance-in-fi

Fine-tuning has emerged as a widely adopted approach for adapting LLMs to a variety of downstream tasks. However, how it reshapes their internal mechanisms remains poorly understood. To address this, we investigate how fine-tuning alters internal representations in LLMs,…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2609.21113)

**标签：** #arXiv

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