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Omer Levy
Omer Levy
Google DeepMind
Dirección de correo verificada de google.com
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Año
Roberta: A robustly optimized bert pretraining approach
Y Liu
arXiv preprint arXiv:1907.11692 364, 2019
29659*2019
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
M Lewis
arXiv preprint arXiv:1910.13461, 2019
113222019
Glue: A multi-task benchmark and analysis platform for natural language understanding
A Wang
arXiv preprint arXiv:1804.07461, 2018
77222018
Neural word embedding as implicit matrix factorization
O Levy, Y Goldberg
Advances in neural information processing systems 27, 2014
26132014
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Y Goldberg
arXiv preprint arXiv:1402.3722, 2014
24262014
Superglue: A stickier benchmark for general-purpose language understanding systems
A Wang, Y Pruksachatkun, N Nangia, A Singh, J Michael, F Hill, O Levy, ...
Advances in neural information processing systems 32, 2019
23362019
Spanbert: Improving pre-training by representing and predicting spans
M Joshi, D Chen, Y Liu, DS Weld, L Zettlemoyer, O Levy
Transactions of the association for computational linguistics 8, 64-77, 2020
22642020
Improving distributional similarity with lessons learned from word embeddings
O Levy, Y Goldberg, I Dagan
Transactions of the association for computational linguistics 3, 211-225, 2015
19102015
What Does Bert Look At? An Analysis of Bert’s Attention
K Clark
arXiv preprint arXiv:1906.04341, 2019
18492019
Dependency-Based Word Embeddings
O Levy, Y Goldberg
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
17542014
code2vec: Learning distributed representations of code
U Alon, M Zilberstein, O Levy, E Yahav
Proceedings of the ACM on Programming Languages 3 (POPL), 1-29, 2019
14812019
Annotation artifacts in natural language inference data
S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ...
arXiv preprint arXiv:1803.02324, 2018
12662018
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
11652022
Are sixteen heads really better than one?
P Michel, O Levy, G Neubig
Advances in neural information processing systems 32, 2019
11062019
code2seq: Generating sequences from structured representations of code
U Alon, S Brody, O Levy, E Yahav
arXiv preprint arXiv:1808.01400, 2018
8572018
Linguistic Regularities in Sparse and Explicit Word Representations
O Levy, Y Goldberg
Proceedings of the Eighteenth Conference on Computational Natural Language …, 2014
8192014
Generalization through memorization: Nearest neighbor language models
U Khandelwal, O Levy, D Jurafsky, L Zettlemoyer, M Lewis
arXiv preprint arXiv:1911.00172, 2019
8022019
Lima: Less is more for alignment
C Zhou, P Liu, P Xu, S Iyer, J Sun, Y Mao, X Ma, A Efrat, P Yu, L Yu, ...
Advances in Neural Information Processing Systems 36, 2024
7902024
Zero-shot relation extraction via reading comprehension
O Levy, M Seo, E Choi, L Zettlemoyer
arXiv preprint arXiv:1706.04115, 2017
6112017
Mask-predict: Parallel decoding of conditional masked language models
M Ghazvininejad, O Levy, Y Liu, L Zettlemoyer
arXiv preprint arXiv:1904.09324, 2019
6032019
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