NeurIPS 2020

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Meta Review

This work proposed a system that uses the retrieval results of query to aid the generation of answers. The idea is generally natural and has been explored by quite some authors in various ways. The paper is clearly written, and I enjoyed reading it. I would see this work as a nice piece of work that combines several existing models in a neat although not strikingly novel or inspirational way. The major downside of the work is its novelty, but its strong empirical results and potential impact on practice are enough to support its acceptance by NeurIPS.