[21] Tatsunori B Hashimoto, Kelvin Guu, Yonatan Oren,

framework for predicting structured outputs.

A
retrieve-and-edit
In S. Bengio,
H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett, ed-
itors, Advances
pages 10052–
10062. Curran Associates,
URL http://papers.nips.cc/paper/
8209-a-retrieve-and-edit-framework-for-predicting-structured-outputs.
pdf.

Information Processing Systems 31,

and Percy S Liang.

Inc., 2018.

in Neural

[22] Nabil Hossain, Marjan Ghazvininejad, and Luke Zettlemoyer. Simple and effective retrieve-
edit-rerank text generation. In Proceedings of the 58th Annual Meeting of the Association for
Computational Linguistics, pages 2532–2538, Online, July 2020. Association for Computa-
tional Linguistics. doi: 10.18653/v1/2020.acl-main.228. URL https://www.aclweb.org/
anthology/2020.acl-main.228.

[23] Jeff Johnson, Matthijs Douze, and Hervé Jégou. Billion-scale similarity search with gpus. arXiv
Retrieval-AugmentedGenerationfor Knowledge-IntensiveNLPTasks