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Mike Lewis
Mike Lewis
Facebook AI Research
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Title
Cited by
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
22200*2019
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
M Lewis, Y Liu, N Goyal, M Ghazvininejad, A Mohamed, O Levy, ...
arXiv preprint arXiv:1910.13461, 2019
84422019
Retrieval-augmented generation for knowledge-intensive nlp tasks
P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H KŁttler, ...
Advances in Neural Information Processing Systems 33, 9459-9474, 2020
15342020
Multilingual denoising pre-training for neural machine translation
Y Liu, J Gu, N Goyal, X Li, S Edunov, M Ghazvininejad, M Lewis, ...
Transactions of the Association for Computational Linguistics 8, 726-742, 2020
14152020
Hierarchical neural story generation
A Fan, M Lewis, Y Dauphin
arXiv preprint arXiv:1805.04833, 2018
13722018
End-to-end neural coreference resolution
K Lee, L He, M Lewis, L Zettlemoyer
arXiv preprint arXiv:1707.07045, 2017
10672017
Rethinking the role of demonstrations: What makes in-context learning work?
S Min, X Lyu, A Holtzman, M Artetxe, M Lewis, H Hajishirzi, L Zettlemoyer
arXiv preprint arXiv:2202.12837, 2022
6552022
Deep semantic role labeling: What works and what’s next
L He, K Lee, M Lewis, L Zettlemoyer
Proceedings of the 55th Annual Meeting of the Association for Computational†…, 2017
5432017
Generalization through memorization: Nearest neighbor language models
U Khandelwal, O Levy, D Jurafsky, L Zettlemoyer, M Lewis
arXiv preprint arXiv:1911.00172, 2019
5372019
Deal or no deal? end-to-end learning for negotiation dialogues
M Lewis, D Yarats, YN Dauphin, D Parikh, D Batra
arXiv preprint arXiv:1706.05125, 2017
4772017
Asking and answering questions to evaluate the factual consistency of summaries
A Wang, K Cho, M Lewis
arXiv preprint arXiv:2004.04228, 2020
3592020
Llm. int8 (): 8-bit matrix multiplication for transformers at scale
T Dettmers, M Lewis, Y Belkada, L Zettlemoyer
arXiv preprint arXiv:2208.07339, 2022
335*2022
Incoder: A generative model for code infilling and synthesis
D Fried, A Aghajanyan, J Lin, S Wang, E Wallace, F Shi, R Zhong, W Yih, ...
arXiv preprint arXiv:2204.05999, 2022
3132022
Train short, test long: Attention with linear biases enables input length extrapolation
O Press, NA Smith, M Lewis
arXiv preprint arXiv:2108.12409, 2021
2912021
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
2852024
Cross-lingual transfer learning for multilingual task oriented dialog
S Schuster, S Gupta, R Shah, M Lewis
arXiv preprint arXiv:1810.13327, 2018
2732018
Metaicl: Learning to learn in context
S Min, M Lewis, L Zettlemoyer, H Hajishirzi
arXiv preprint arXiv:2110.15943, 2021
2622021
A corpus of natural language for visual reasoning
A Suhr, M Lewis, J Yeh, Y Artzi
Proceedings of the 55th Annual Meeting of the Association for Computational†…, 2017
2412017
Nearest neighbor machine translation
U Khandelwal, A Fan, D Jurafsky, L Zettlemoyer, M Lewis
arXiv preprint arXiv:2010.00710, 2020
2282020
Question-answer driven semantic role labeling: Using natural language to annotate natural language
L He, M Lewis, L Zettlemoyer
Proceedings of the 2015 conference on empirical methods in natural language†…, 2015
2282015
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