Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

This paper introduces Retrieval-Augmented Generation (RAG), combining parametric memory of pre-trained models with non-parametric memory through a retrieval mechanism over Wikipedia, dramatically improving performance on open-domain QA tasks.

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