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Patrick Lewis
Patrick Lewis
PhD student University College London, Research Scientist Facebook AI Research
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Language models as knowledge bases?
F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel
EMNLP 2019, 2019
6842019
Dense passage retrieval for open-domain question answering
V Karpukhin, B Oğuz, S Min, P Lewis, L Wu, S Edunov, D Chen, W Yih
EMNLP 2020, 2020
605*2020
Retrieval-augmented generation for knowledge-intensive nlp tasks
P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ...
NeurIPS 2020, 2020
3022020
Mlqa: Evaluating cross-lingual extractive question answering
P Lewis, B Oğuz, R Rinott, S Riedel, H Schwenk
ACL 2020, 2019
1982019
KILT: a benchmark for knowledge intensive language tasks
F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ...
NAACL 2021, 2020
1092020
Unsupervised question answering by cloze translation
P Lewis, L Denoyer, S Riedel
ACL 2019, 2019
942019
Interpretation of natural language rules in conversational machine reading
M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ...
EMNLP 2018, 2018
902018
Question and answer test-train overlap in open-domain question answering datasets
P Lewis, P Stenetorp, S Riedel
EACL 2021, 2020
732020
How Context Affects Language Models' Factual Predictions
F Petroni, P Lewis, A Piktus, T Rocktäschel, Y Wu, AH Miller, S Riedel
AKBC 2020, 2020
632020
Unsupervised question decomposition for question answering
E Perez, P Lewis, W Yih, K Cho, D Kiela
EMNLP 2020, 2020
572020
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
W Xiong, XL Li, S Iyer, J Du, P Lewis, WY Wang, Y Mehdad, W Yih, ...
ICLR 2021, 2020
48*2020
Paq: 65 million probably-asked questions and what you can do with them
P Lewis, Y Wu, L Liu, P Minervini, H Küttler, A Piktus, P Stenetorp, ...
TACL 2021, 2021
432021
NeurIPS 2020 EfficientQA competition: Systems, analyses and lessons learned
S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ...
PLMR Volume 133, 2021
332021
Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art
P Lewis, M Ott, J Du, V Stoyanov
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 146-157, 2020
312020
Domain-matched pre-training tasks for dense retrieval
B Oğuz, K Lakhotia, A Gupta, P Lewis, V Karpukhin, A Piktus, X Chen, ...
arXiv preprint arXiv:2107.13602, 2021
142021
Understanding and predicting disease relationships through similarity fusion
E Oerton, I Roberts, PSH Lewis, T Guilliams, A Bender
Bioinformatics 35 (7), 1213-1220, 2019
72019
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
X Chen, K Lakhotia, B Oğuz, A Gupta, P Lewis, S Peshterliev, Y Mehdad, ...
arXiv preprint arXiv:2110.06918, 2021
62021
The Web Is Your Oyster--Knowledge-Intensive NLP against a Very Large Web Corpus
A Piktus, F Petroni, V Karpukhin, D Okhonko, S Broscheit, G Izacard, ...
arXiv preprint arXiv:2112.09924, 2021
32021
Boosted Dense Retriever
P Lewis, B Oğuz, W Xiong, F Petroni, W Yih, S Riedel
arXiv preprint arXiv:2112.07771, 2021
32021
A few more examples may be worth billions of parameters
Y Kirstain, P Lewis, S Riedel, O Levy
arXiv preprint arXiv:2110.04374, 2021
32021
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