activity
20162023
most citedRetrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

3.1k citations · 5.5k across the 54 of their papers we have counts for

collaborators
Showing 2020Show all

9 papers · 1 filter

cs.CL2020

Shortformer: Better Language Modeling using Shorter Inputs

Ofir Press, Noah A. Smith, Mike Lewis

Increasing the input length has been a driver of progress in language modeling with transformers. We identify conditions where shorter inputs are not harmful, and achieve perplexit…

cs.CL2020★ 8 cited

Joint Verification and Reranking for Open Fact Checking Over Tables

Michael Schlichtkrull, Vladimir Karpukhin, Barlas Oğuz +3

Structured information is an important knowledge source for automatic verification of factual claims. Nevertheless, the majority of existing research into this task has focused on…

cs.CL2020★ 19 cited

Nearest Neighbor Machine Translation

Urvashi Khandelwal, Angela Fan, Dan Jurafsky +2

We introduce -nearest-neighbor machine translation (NN-MT), which predicts tokens with a nearest neighbor classifier over a large datastore of cached examples, using represen…

cs.CL2020

Conversational Semantic Parsing

Armen Aghajanyan, Jean Maillard, Akshat Shrivastava +8

The structured representation for semantic parsing in task-oriented assistant systems is geared towards simple understanding of one-turn queries. Due to the limitations of the repr…

cs.CL2020★ 6 cited

Grounded Adaptation for Zero-shot Executable Semantic Parsing

Victor Zhong, Mike Lewis, Sida I. Wang +1

We propose Grounded Adaptation for Zero-shot Executable Semantic Parsing (GAZP) to adapt an existing semantic parser to new environments (e.g. new database schemas). GAZP combines…

cs.CL2020★ 89 cited

Pre-training via Paraphrasing

Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh +3

We introduce MARGE, a pre-trained sequence-to-sequence model learned with an unsupervised multi-lingual multi-document paraphrasing objective. MARGE provides an alternative to the…