| 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 | 15243* | 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, ... https://www.aclweb.org/anthology/2020.acl-main.703/, 2019 | 5296 | 2019 |
| Unsupervised cross-lingual representation learning at scale A Conneau, K Khandelwal, N Goyal, V Chaudhary, G Wenzek, F Guzmán, ... https://www.aclweb.org/anthology/2020.acl-main.747.pdf, 2019 | 3317 | 2019 |
| 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 | 980 | 2020 |
| Retrieval-augmented generation for knowledge-intensive nlp tasks P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... https://papers.nips.cc/paper/2020/hash/6b493230205f780e1bc26945df7481e5 …, 2020 | 680 | 2020 |
| Recipes for building an open-domain chatbot S Roller, E Dinan, N Goyal, D Ju, M Williamson, Y Liu, J Xu, M Ott, ... EACL 2020, 2020 | 672 | 2020 |
| Opt: Open pre-trained transformer language models S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ... arXiv preprint arXiv:2205.01068, 2022 | 546* | 2022 |
| Beyond english-centric multilingual machine translation A Fan, S Bhosale, H Schwenk, Z Ma, A El-Kishky, S Goyal, M Baines, ... The Journal of Machine Learning Research 22 (1), 4839-4886, 2021 | 352 | 2021 |
| Llama: Open and efficient foundation language models H Touvron, T Lavril, G Izacard, X Martinet, MA Lachaux, T Lacroix, ... arXiv preprint arXiv:2302.13971, 2023 | 317 | 2023 |
| Multilingual translation with extensible multilingual pretraining and finetuning Y Tang, C Tran, X Li, PJ Chen, N Goyal, V Chaudhary, J Gu, A Fan Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2020 | 247* | 2020 |
| XLS-R: Self-supervised cross-lingual speech representation learning at scale A Babu, C Wang, A Tjandra, K Lakhotia, Q Xu, N Goyal, K Singh, ... Interspeech 2022, 2021 | 172 | 2021 |
| The flores-101 evaluation benchmark for low-resource and multilingual machine translation N Goyal, C Gao, V Chaudhary, PJ Chen, G Wenzek, D Ju, S Krishnan, ... Transactions of the Association for Computational Linguistics 10, 522-538, 2022 | 147 | 2022 |
| Better fine-tuning by reducing representational collapse A Aghajanyan, A Shrivastava, A Gupta, N Goyal, L Zettlemoyer, S Gupta ICLR 2021, 2020 | 144 | 2020 |
| Base layers: Simplifying training of large, sparse models M Lewis, S Bhosale, T Dettmers, N Goyal, L Zettlemoyer International Conference on Machine Learning, 6265-6274, 2021 | 80 | 2021 |
| Blenderbot 3: a deployed conversational agent that continually learns to responsibly engage K Shuster, J Xu, M Komeili, D Ju, EM Smith, S Roller, M Ung, M Chen, ... arXiv preprint arXiv:2208.03188, 2022 | 66 | 2022 |
| The social dynamics of language change in online networks R Goel, S Soni, N Goyal, J Paparrizos, H Wallach, F Diaz, J Eisenstein Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA …, 2016 | 61 | 2016 |
| Multilingual autoregressive entity linking N De Cao, L Wu, K Popat, M Artetxe, N Goyal, M Plekhanov, ... Transactions of the Association for Computational Linguistics 10, 274-290, 2022 | 55 | 2022 |
| Findings of the WMT 2020 shared task on parallel corpus filtering and alignment P Koehn, V Chaudhary, A El-Kishky, N Goyal, PJ Chen, F Guzmán Proceedings of the Fifth Conference on Machine Translation, 726-742, 2020 | 47 | 2020 |
| Cm3: A causal masked multimodal model of the internet A Aghajanyan, B Huang, C Ross, V Karpukhin, H Xu, N Goyal, D Okhonko, ... arXiv preprint arXiv:2201.07520, 2022 | 45 | 2022 |
| Larger-scale transformers for multilingual masked language modeling N Goyal, J Du, M Ott, G Anantharaman, A Conneau arXiv preprint arXiv:2105.00572, 2021 | 30 | 2021 |
