From Lookups to Lessons: Turning Retrieved Knowledge into Parametric Memory

arXiv:2611.00450v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) helps large language models (LLMs) answer factual questions beyond their training data, but it adds storage and inference costs. Distilling previously retrieved information into parametric memories enables reuse wit

arXiv cs.CLDienstag 06:00 · 03.11.1 Min. Lesezeit