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Doc-To-Lora: Learning To Instantly Internalize Contexts by wangzichao6 is a document available to read on EtoBox.

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The document introduces Doc-to-LoRA (D2L), a hypernetwork that enables large language models (LLMs) to efficiently internalize context information through a single forward pass, addressing the limitations of traditional context distillation (CD) methods. D2L achieves significant reductions in latency and memory consumption while maintaining high accuracy on long-context tasks, allowing for rapid adaptation and personalized behavior in LLMs. The method is validated through empirical studies showing its effec

Author

wangzichao6

Language

EN