# Cache2LoRA: Understanding and Improving Context Internalization

**Published:** October 20, 2026
**Author:** Yi Fang, Gaurav Srivastava, Zhenyu Bi, Sirui Ding, Xuan Wang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/cache2lora-understanding-and-improving-context-internalization

arXiv:2610.24107v1 Announce Type: new Abstract: Context-to-LoRA methods encode documents as low-rank parameter updates, allowing language models to answer without retaining the source text in their decoding context. How reliably do these updates preserve facts and support their…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2610.24107)

**Tags:** #arXiv

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