| 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 | 15283* | 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 | 5413 | 2019 |
| Hierarchical neural story generation A Fan, M Lewis, Y Dauphin arXiv preprint arXiv:1805.04833, 2018 | 1019 | 2018 |
| 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 | 988 | 2020 |
| End-to-end neural coreference resolution K Lee, L He, M Lewis, L Zettlemoyer arXiv preprint arXiv:1707.07045, 2017 | 929 | 2017 |
| 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 | 696 | 2020 |
| 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 | 494 | 2017 |
| 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 | 415 | 2017 |
| Generalization through memorization: Nearest neighbor language models U Khandelwal, O Levy, D Jurafsky, L Zettlemoyer, M Lewis arXiv preprint arXiv:1911.00172, 2019 | 356 | 2019 |
| Asking and answering questions to evaluate the factual consistency of summaries A Wang, K Cho, M Lewis arXiv preprint arXiv:2004.04228, 2020 | 258 | 2020 |
| Cross-lingual transfer learning for multilingual task oriented dialog S Schuster, S Gupta, R Shah, M Lewis arXiv preprint arXiv:1810.13327, 2018 | 222 | 2018 |
| 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 | 209 | 2022 |
| 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 | 205 | 2015 |
| 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 | 197 | 2017 |
| Combined distributional and logical semantics M Lewis, M Steedman Transactions of the Association for Computational Linguistics 1, 179-192, 2013 | 189 | 2013 |
| Strategies for structuring story generation A Fan, M Lewis, Y Dauphin arXiv preprint arXiv:1902.01109, 2019 | 187 | 2019 |
| Semantic parsing for task oriented dialog using hierarchical representations S Gupta, R Shah, M Mohit, A Kumar, M Lewis arXiv preprint arXiv:1810.07942, 2018 | 162 | 2018 |
| Nearest neighbor machine translation U Khandelwal, A Fan, D Jurafsky, L Zettlemoyer, M Lewis arXiv preprint arXiv:2010.00710, 2020 | 155 | 2020 |
| A* CCG parsing with a supertag-factored model M Lewis, M Steedman Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 145 | 2014 |
| Melnet: A generative model for audio in the frequency domain S Vasquez, M Lewis arXiv preprint arXiv:1906.01083, 2019 | 141 | 2019 |
