| Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 8022 | 2023 |
| Beyond english-centric multilingual machine translation A Fan, S Bhosale, H Schwenk, Z Ma, A El-Kishky, S Goyal, M Baines, ... Journal of Machine Learning Research 22 (107), 1-48, 2021 | 744 | 2021 |
| No language left behind: Scaling human-centered machine translation MR Costa-jussà, J Cross, O Çelebi, M Elbayad, K Heafield, K Heffernan, ... arXiv preprint arXiv:2207.04672, 2022 | 576 | 2022 |
| BASE Layers: Simplifying Training of Large, Sparse Models L Lewis, Mike and Bhosale, Shruti and Dettmers, Tim and Goyal, Naman and ... International Conference on Machine Learning, 2021 | 207 | 2021 |
| Efficient Large Scale Language Modeling with Mixtures of Experts M Artetxe, S Bhosale, N Goyal, T Mihaylov, M Ott, S Shleifer, XV Lin, J Du, ... EMNLP 2022, 2021 | 138* | 2021 |
| 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 | 124 | 2024 |
| Effective long-context scaling of foundation models W Xiong, J Liu, I Molybog, H Zhang, P Bhargava, R Hou, L Martin, ... arXiv preprint arXiv:2309.16039, 2023 | 100 | 2023 |
| Facebook AI’s WMT21 News Translation Task Submission C Tran, S Bhosale, J Cross, P Koehn, S Edunov, A Fan Proceedings of the Sixth Conference on Machine Translation, 205-215, 2021 | 92 | 2021 |
| Jingfei Du, et al. 2021. Few-shot learning with multilingual language models XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ... arXiv preprint arXiv:2112.10668, 35-40, 2021 | 87 | 2021 |
| Llama 2: open foundation and fine-tuned chat models. arXiv H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 83 | 2023 |
| Llama 2: Open foundation and fine-tuned chat models. arXiv 2023 H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 0 | 74 | |
| Few-shot learning with multilingual generative language models XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 47 | 2022 |
| Few-shot learning with multilingual language models XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ... EMNLP 2022, 2021 | 47 | 2021 |
| Fairscale: A general purpose modular pytorch library for high performance and large scale training M Baines, S Bhosale, V Caggiano, N Goyal, S Goyal, M Ott, B Lefaudeux, ... | 46 | 2021 |
| Multilingual Machine Translation with Hyper-Adapters C Baziotis, M Artetxe, J Cross, S Bhosale EMNLP 2022, 2022 | 22 | 2022 |
| Tricks for Training Sparse Translation Models D Dua, S Bhosale, V Goswami, J Cross, M Lewis, A Fan Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 22 | 2021 |
| Detecting promotional content in wikipedia S Bhosale, H Vinicombe, R Mooney Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 19 | 2013 |
| Revisiting machine translation for cross-lingual classification M Artetxe, V Goswami, S Bhosale, A Fan, L Zettlemoyer arXiv preprint arXiv:2305.14240, 2023 | 16 | 2023 |
| Data Selection Curriculum for Neural Machine Translation T Mohiuddin, P Koehn, V Chaudhary, J Cross, S Bhosale, S Joty Findings of EMNLP 2022, 2022 | 15 | 2022 |
| Causes and cures for interference in multilingual translation U Shaham, M Elbayad, V Goswami, O Levy, S Bhosale arXiv preprint arXiv:2212.07530, 2022 | 13 | 2022 |
