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Mike Lewis
Mike Lewis
Facebook AI Research
Verifierad e-postadress på fb.com - Startsida
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Roberta: A robustly optimized bert pretraining approach
Y Liu
arXiv preprint arXiv:1907.11692, 2019
28131*2019
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
M Lewis
arXiv preprint arXiv:1910.13461, 2019
108562019
Retrieval-augmented generation for knowledge-intensive nlp tasks
P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ...
Advances in Neural Information Processing Systems 33, 9459-9474, 2020
37652020
Multilingual denoising pre-training for neural machine translation
Y Liu
arXiv preprint arXiv:2001.08210, 2020
17722020
Hierarchical neural story generation
A Fan, M Lewis, Y Dauphin
arXiv preprint arXiv:1805.04833, 2018
16552018
End-to-end neural coreference resolution
K Lee, L He, M Lewis, L Zettlemoyer
arXiv preprint arXiv:1707.07045, 2017
11592017
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
10382022
Generalization through memorization: Nearest neighbor language models
U Khandelwal, O Levy, D Jurafsky, L Zettlemoyer, M Lewis
arXiv preprint arXiv:1911.00172, 2019
7482019
Gpt3. int8 (): 8-bit matrix multiplication for transformers at scale
T Dettmers, M Lewis, Y Belkada, L Zettlemoyer
Advances in Neural Information Processing Systems 35, 30318-30332, 2022
6952022
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
6582024
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
5802017
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
5152022
Train short, test long: Attention with linear biases enables input length extrapolation
O Press, NA Smith, M Lewis
arXiv preprint arXiv:2108.12409, 2021
5032021
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
5002017
The llama 3 herd of models
A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ...
arXiv preprint arXiv:2407.21783, 2024
430*2024
Asking and answering questions to evaluate the factual consistency of summaries
A Wang, K Cho, M Lewis
arXiv preprint arXiv:2004.04228, 2020
4222020
Metaicl: Learning to learn in context
S Min, M Lewis, L Zettlemoyer, H Hajishirzi
arXiv preprint arXiv:2110.15943, 2021
3672021
Measuring and narrowing the compositionality gap in language models
O Press, M Zhang, S Min, L Schmidt, NA Smith, M Lewis
arXiv preprint arXiv:2210.03350, 2022
341*2022
Cross-lingual transfer learning for multilingual task oriented dialog
S Schuster, S Gupta, R Shah, M Lewis
arXiv preprint arXiv:1810.13327, 2018
3062018
Factscore: Fine-grained atomic evaluation of factual precision in long form text generation
S Min, K Krishna, X Lyu, M Lewis, W Yih, PW Koh, M Iyyer, L Zettlemoyer, ...
arXiv preprint arXiv:2305.14251, 2023
2982023
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