Patrick Lewis
Patrick Lewis
PhD student University College London, Facebook AI Research
Verified email at - Homepage
Cited by
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Language models as knowledge bases?
F Petroni, T Rocktäschel, P Lewis, A Bakhtin, Y Wu, AH Miller, S Riedel
arXiv preprint arXiv:1909.01066, 2019
MLQA: Evaluating cross-lingual extractive question answering
P Lewis, B Oğuz, R Rinott, S Riedel, H Schwenk
arXiv preprint arXiv:1910.07475, 2019
Interpretation of natural language rules in conversational machine reading
M Saeidi, M Bartolo, P Lewis, S Singh, T Rocktäschel, M Sheldon, ...
arXiv preprint arXiv:1809.01494, 2018
Unsupervised question answering by cloze translation
P Lewis, L Denoyer, S Riedel
arXiv preprint arXiv:1906.04980, 2019
Retrieval-augmented generation for knowledge-intensive nlp tasks
P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ...
arXiv preprint arXiv:2005.11401, 2020
How Context Affects Language Models' Factual Predictions
F Petroni, P Lewis, A Piktus, T Rocktäschel, Y Wu, AH Miller, S Riedel
arXiv preprint arXiv:2005.04611, 2020
Unsupervised question decomposition for question answering
E Perez, P Lewis, W Yih, K Cho, D Kiela
arXiv preprint arXiv:2002.09758, 2020
Dense Passage Retrieval for Open-Domain Question Answering
V Karpukhin, B Oğuz, S Min, L Wu, S Edunov, D Chen, W Yih
arXiv preprint arXiv:2004.04906, 2020
Kilt: a benchmark for knowledge intensive language tasks
F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ...
arXiv preprint arXiv:2009.02252, 2020
Understanding and predicting disease relationships through similarity fusion
E Oerton, I Roberts, PSH Lewis, T Guilliams, A Bender
Bioinformatics 35 (7), 1213-1220, 2019
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, ...
arXiv preprint arXiv:2009.12756, 2020
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets
P Lewis, P Stenetorp, S Riedel
arXiv preprint arXiv:2008.02637, 2020
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