| Google's neural machine translation system: Bridging the gap between human and machine translation Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... arXiv preprint arXiv:1609.08144, 2016 | 7465 | 2016 |
| Simvlm: Simple visual language model pretraining with weak supervision Z Wang, J Yu, AW Yu, Z Dai, Y Tsvetkov, Y Cao arXiv preprint arXiv:2108.10904, 2021 | 469 | 2021 |
| 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 | 316 | 2019 |
| Google’s neural machine translation system: Bridging the gap between human and machine translation. arXiv 2016 Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... arXiv preprint arXiv:1609.08144 2, 2019 | 263 | 2019 |
| Hierarchical generative modeling for controllable speech synthesis WN Hsu, Y Zhang, RJ Weiss, H Zen, Y Wu, Y Wang, Y Cao, Y Jia, Z Chen, ... arXiv preprint arXiv:1810.07217, 2018 | 246 | 2018 |
| Gmail smart compose: Real-time assisted writing MX Chen, BN Lee, G Bansal, Y Cao, S Zhang, J Lu, J Tsay, Y Wang, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 186 | 2019 |
| React: Synergizing reasoning and acting in language models S Yao, J Zhao, D Yu, N Du, I Shafran, K Narasimhan, Y Cao arXiv preprint arXiv:2210.03629, 2022 | 185 | 2022 |
| 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 | 183 | 2019 |
| Leveraging weakly supervised data to improve end-to-end speech-to-text translation Y Jia, M Johnson, W Macherey, RJ Weiss, Y Cao, CC Chiu, N Ari, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 160 | 2019 |
| Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis G Sun, Y Zhang, RJ Weiss, Y Cao, H Zen, Y Wu ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 131 | 2020 |
| 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 | 111 | 2018 |
| Tree of thoughts: Deliberate problem solving with large language models S Yao, D Yu, J Zhao, I Shafran, TL Griffiths, Y Cao, K Narasimhan arXiv preprint arXiv:2305.10601, 2023 | 102 | 2023 |
| Gradient vaccine: Investigating and improving multi-task optimization in massively multilingual models Z Wang, Y Tsvetkov, O Firat, Y Cao arXiv preprint arXiv:2010.05874, 2020 | 101 | 2020 |
| Your gan is secretly an energy-based model and you should use discriminator driven latent sampling T Che, R Zhang, J Sohl-Dickstein, H Larochelle, L Paull, Y Cao, Y Bengio Advances in Neural Information Processing Systems 33, 12275-12287, 2020 | 94 | 2020 |
| Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and autoregressive prosody prior G Sun, Y Zhang, RJ Weiss, Y Cao, H Zen, A Rosenberg, B Ramabhadran, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 93 | 2020 |
| 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 | 70 | 2020 |
| Towards zero-label language learning Z Wang, AW Yu, O Firat, Y Cao arXiv preprint arXiv:2109.09193, 2021 | 56 | 2021 |
| Joshua 4.0: Packing, PRO, and paraphrases J Ganitkevitch, Y Cao, J Weese, M Post, C Callison-Burch Proceedings of the Seventh Workshop on Statistical Machine Translation, 283-291, 2012 | 42 | 2012 |
| Building machine translation systems for the next thousand languages A Bapna, I Caswell, J Kreutzer, O Firat, D van Esch, A Siddhant, M Niu, ... arXiv preprint arXiv:2205.03983, 2022 | 36 | 2022 |
| Joshua 5.0: Sparser, better, faster, server M Post, J Ganitkevitch, L Orland, J Weese, Y Cao, C Callison-Burch Proceedings of the Eighth Workshop on Statistical Machine Translation, 206-212, 2013 | 32 | 2013 |
