| Unsupervised cross-lingual representation learning at scale A Conneau arXiv preprint arXiv:1911.02116, 2019 | 6209 | 2019 |
| Holistic evaluation of language models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... arXiv preprint arXiv:2211.09110, 2022 | 955 | 2022 |
| 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 | 769 | 2021 |
| CCNet: Extracting high quality monolingual datasets from web crawl data G Wenzek, MA Lachaux, A Conneau, V Chaudhary, F Guzmán, A Joulin, ... arXiv preprint arXiv:1911.00359, 2019 | 582 | 2019 |
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| 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 | 392 | 2022 |
| Multilingual translation with extensible multilingual pretraining and finetuning Y Tang, C Tran, X Li, PJ Chen, N Goyal, V Chaudhary, J Gu, A Fan arXiv preprint arXiv:2008.00401, 2020 | 367 | 2020 |
| Wikimatrix: Mining 135m parallel sentences in 1620 language pairs from wikipedia H Schwenk, V Chaudhary, S Sun, H Gong, F Guzmán arXiv preprint arXiv:1907.05791, 2019 | 338 | 2019 |
| The flores evaluation datasets for low-resource machine translation: Nepali-english and sinhala-english F Guzmán, PJ Chen, M Ott, J Pino, G Lample, P Koehn, V Chaudhary, ... arXiv preprint arXiv:1902.01382, 2019 | 306 | 2019 |
| Phi-3 technical report: A highly capable language model locally on your phone M Abdin, SA Jacobs, AA Awan, J Aneja, A Awadallah, H Awadalla, ... arXiv preprint arXiv:2404.14219, 2024 | 274 | 2024 |
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| CCAligned: A massive collection of cross-lingual web-document pairs A El-Kishky, V Chaudhary, F Guzmán, P Koehn arXiv preprint arXiv:1911.06154, 2019 | 168 | 2019 |
| Self-training improves pre-training for natural language understanding J Du, E Grave, B Gunel, V Chaudhary, O Celebi, M Auli, V Stoyanov, ... arXiv preprint arXiv:2010.02194, 2020 | 164 | 2020 |
| Findings of the WMT 2021 shared task on quality estimation L Specia, F Blain, M Fomicheva, C Zerva, Z Li, V Chaudhary, AFT Martins Proceedings of the Sixth Conference on Machine Translation, 684-725, 2021 | 144 | 2021 |
| Unsupervised quality estimation for neural machine translation M Fomicheva, S Sun, L Yankovskaya, F Blain, F Guzmán, M Fishel, ... Transactions of the Association for Computational Linguistics 8, 539-555, 2020 | 144 | 2020 |
| Multilingual translation from denoising pre-training 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 …, 2021 | 136 | 2021 |
| A length-extrapolatable transformer Y Sun, L Dong, B Patra, S Ma, S Huang, A Benhaim, V Chaudhary, ... arXiv preprint arXiv:2212.10554, 2022 | 122 | 2022 |
| Low-Resource Corpus Filtering using Multilingual Sentence Embeddings V Chaudhary, Y Tang, F Guzmán, H Schwenk, P Koehn Proceedings of the Fourth Conference on Machine Translation (Volume 3 …, 2019 | 83 | 2019 |
| Findings of the WMT 2019 shared task on parallel corpus filtering for low-resource conditions P Koehn, F Guzmán, V Chaudhary, J Pino Proceedings of the Fourth Conference on Machine Translation (Volume 3 …, 2019 | 81 | 2019 |
| AmericasNLI: Evaluating zero-shot natural language understanding of pretrained multilingual models in truly low-resource languages A Ebrahimi, M Mager, A Oncevay, V Chaudhary, L Chiruzzo, A Fan, ... arXiv preprint arXiv:2104.08726, 2021 | 80 | 2021 |
Naman GoyalFacebook AI ResearchVerified email at gatech.edu
