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Title
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Cited by
Year
Roberta: A robustly optimized bert pretraining approach
Y Liu, M Ott, N Goyal, J Du, M Joshi, D Chen, O Levy, M Lewis, ...
arXiv preprint arXiv:1907.11692, 2019
30102*2019
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
M Lewis
arXiv preprint arXiv:1910.13461, 2019
115082019
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
22752020
Multilingual denoising pre-training for neural machine translation
Y Liu, J Gu, N Goyal, X Li, S Edunov, M Ghazvininejad, M Lewis, ...
arXiv preprint arXiv:2001.08210, 2020
18762020
Chromatographic peak alignment using derivative dynamic time warping
C Bork, K Ng, Y Liu, A Yee, M Pohlscheidt
Biotechnology Progress 29 (2), 394-402, 2013
16442013
Recipes for building an open-domain chatbot
S Roller
arXiv preprint arXiv:2004.13637, 2020
11082020
Mask-predict: Parallel decoding of conditional masked language models
M Ghazvininejad, O Levy, Y Liu, L Zettlemoyer
arXiv preprint arXiv:1904.09324, 2019
6032019
Cloze-driven pretraining of self-attention networks
A Baevski, S Edunov, Y Liu, L Zettlemoyer, M Auli
arXiv preprint arXiv:1903.07785, 2019
2792019
Hierarchical learning for generation with long source sequences
T Rohde, X Wu, Y Liu
arXiv preprint arXiv:2104.07545, 2021
612021
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