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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

primary paper2020

Why this source is here

The originating formulation of retrieval-augmented generation.

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Content-verified on 2026-07-27: the canonical source and its title were resolved during the Atlas review. This is not an endorsement of the source’s argument.
Authors
Lewis et al.
Identifier
arXiv:2005.11401
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