From Lookups to Lessons: turning retrieved knowledge into parametric memory
Read the original at arxiv.org→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....
Original headline: "From Lookups to Lessons: Turning Retrieved Knowledge into Parametric Memory"
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- Nov 3, 05:00 UTC arXiv cs.CL lead source From Lookups to Lessons: Turning Retrieved Knowledge into Parametric Memory