| Gpipe: Efficient training of giant neural networks using pipeline parallelism Y Huang, Y Cheng, A Bapna, O Firat, D Chen, M Chen, HJ Lee, J Ngiam, ... Advances in neural information processing systems 32, 2019 | 1089 | 2019 |
| The best of both worlds: Combining recent advances in neural machine translation MX Chen, O Firat, A Bapna, M Johnson, W Macherey, G Foster, L Jones, ... arXiv preprint arXiv:1804.09849, 2018 | 465 | 2018 |
| Massively multilingual neural machine translation in the wild: Findings and challenges N Arivazhagan, A Bapna, O Firat, D Lepikhin, M Johnson, M Krikun, ... arXiv preprint arXiv:1907.05019, 2019 | 290 | 2019 |
| Simple, scalable adaptation for neural machine translation A Bapna, N Arivazhagan, O Firat arXiv preprint arXiv:1909.08478, 2019 | 268 | 2019 |
| Building a conversational agent overnight with dialogue self-play P Shah, D Hakkani-Tür, G Tür, A Rastogi, A Bapna, N Nayak, L Heck arXiv preprint arXiv:1801.04871, 2018 | 184 | 2018 |
| Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... arXiv preprint arXiv:1902.08295, 2019 | 172 | 2019 |
| Large-scale multilingual speech recognition with a streaming end-to-end model A Kannan, A Datta, TN Sainath, E Weinstein, B Ramabhadran, Y Wu, ... arXiv preprint arXiv:1909.05330, 2019 | 140 | 2019 |
| Towards zero-shot frame semantic parsing for domain scaling A Bapna, G Tur, D Hakkani-Tur, L Heck arXiv preprint arXiv:1707.02363, 2017 | 129 | 2017 |
| Revisiting character-based neural machine translation with capacity and compression C Cherry, G Foster, A Bapna, O Firat, W Macherey arXiv preprint arXiv:1808.09943, 2018 | 107 | 2018 |
| Training deeper neural machine translation models with transparent attention A Bapna, MX Chen, O Firat, Y Cao, Y Wu arXiv preprint arXiv:1808.07561, 2018 | 102 | 2018 |
| Investigating multilingual NMT representations at scale SR Kudugunta, A Bapna, I Caswell, N Arivazhagan, O Firat arXiv preprint arXiv:1909.02197, 2019 | 93 | 2019 |
| The missing ingredient in zero-shot neural machine translation N Arivazhagan, A Bapna, O Firat, R Aharoni, M Johnson, W Macherey arXiv preprint arXiv:1903.07091, 2019 | 83 | 2019 |
| Quality at a glance: An audit of web-crawled multilingual datasets J Kreutzer, I Caswell, L Wang, A Wahab, D van Esch, N Ulzii-Orshikh, ... Transactions of the Association for Computational Linguistics 10, 50-72, 2022 | 70 | 2022 |
| Leveraging monolingual data with self-supervision for multilingual neural machine translation A Siddhant, A Bapna, Y Cao, O Firat, M Chen, S Kudugunta, ... arXiv preprint arXiv:2005.04816, 2020 | 64 | 2020 |
| Non-parametric adaptation for neural machine translation A Bapna, O Firat arXiv preprint arXiv:1903.00058, 2019 | 60 | 2019 |
| Sequential dialogue context modeling for spoken language understanding A Bapna, G Tur, D Hakkani-Tur, L Heck arXiv preprint arXiv:1705.03455, 2017 | 59 | 2017 |
| Evaluating the cross-lingual effectiveness of massively multilingual neural machine translation A Siddhant, M Johnson, H Tsai, N Ari, J Riesa, A Bapna, O Firat, K Raman Proceedings of the AAAI conference on artificial intelligence 34 (05), 8854-8861, 2020 | 58 | 2020 |
| mslam: Massively multilingual joint pre-training for speech and text A Bapna, C Cherry, Y Zhang, Y Jia, M Johnson, Y Cheng, S Khanuja, ... arXiv preprint arXiv:2202.01374, 2022 | 49 | 2022 |
| Share or not? learning to schedule language-specific capacity for multilingual translation B Zhang, A Bapna, R Sennrich, O Firat ICLR, 2021 | 49 | 2021 |
| SLAM: A unified encoder for speech and language modeling via speech-text joint pre-training A Bapna, Y Chung, N Wu, A Gulati, Y Jia, JH Clark, M Johnson, J Riesa, ... arXiv preprint arXiv:2110.10329, 2021 | 48 | 2021 |
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