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arXiv — cs.AI

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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…

arXiv — cs.AIBy: Yi Fang, Gaurav Srivastava, Zhenyu Bi, Sirui Ding, Xuan WangOctober 20, 2026 (18 hours ago)
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  • 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…
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Cache2LoRA: Understanding and Improving Context Internalization

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