Thibault Févry
Thibault Févry
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Multitask prompted training enables zero-shot task generalization
V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ...
ICLR 2022 Spotlight, 2021
Bloom: A 176b-parameter open-access multilingual language model
TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
arXiv preprint arXiv:2211.05100, 2022
Deep neural networks improve radiologists’ performance in breast cancer screening
N Wu, J Phang, J Park, Y Shen, Z Huang, M Zorin, S Jastrzębski, T Févry, ...
IEEE transactions on medical imaging 39 (4), 1184-1194, 2019
Sentence encoders on stilts: Supplementary training on intermediate labeled-data tasks
J Phang*, T Févry*, SR Bowman
arXiv preprint arXiv:1811.01088, 2018
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
SH Bach, V Sanh, ZX Yong, A Webson, C Raffel, NV Nayak, A Sharma, ...
ACL 2022, 2022
Entities as experts: Sparse memory access with entity supervision
T Févry, LB Soares, N FitzGerald, E Choi, T Kwiatkowski
EMNLP 2020, 2020
Rethinking embedding coupling in pre-trained language models
HW Chung*, T Févry*, H Tsai, M Johnson, S Ruder
ICLR 2021, 2020
Do Transformer Modifications Transfer Across Implementations and Applications?
S Narang, HW Chung, Y Tay, W Fedus, T Fevry, M Matena, K Malkan, ...
EMNLP 2021, 2021
Unsupervised Sentence Compression using Denoising Auto-Encoders
T Fevry*, J Phang*
CoNLL 2018, 2018
jiant 1.1: A software toolkit for research on general-purpose text understanding models
A Wang, IF Tenney, Y Pruksachatkun, K Yu, J Hula, P Xia, R Pappagari, ...
Learning cross-context entity representations from text
J Ling, N FitzGerald, Z Shan, LB Soares, T Févry, D Weiss, T Kwiatkowski
arXiv preprint arXiv:2001.03765, 2020
Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking
T Févry, N FitzGerald, LB Soares, T Kwiatkowski
AKBC 2020, 2020
Improving localization-based approaches for breast cancer screening exam classification
T Févry, J Phang, N Wu, SG Kim, L Moy, K Cho, KJ Geras
MIDL 2019 Extended Abstract, 2019
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