Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Unsupervised Question Decomposition for Question Answering
February 22, 2020
Rissanen Data Analysis: Examining Dataset Characteristics with Description Length
March 12, 2021
We present a single, retrieval-based architecture that can learn a variety of knowledge-intensive tasks: extractive and generative alike.
Publication: NeurIPS 2020
Collaborators: Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Mike Lewis, Scott Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela