| Effective approaches to attention-based neural machine translation MT Luong arXiv preprint arXiv:1508.04025, 2015 | 10874 | 2015 |
| Electra: Pre-training text encoders as discriminators rather than generators K Clark arXiv preprint arXiv:2003.10555, 2020 | 4226 | 2020 |
| Self-training with noisy student improves imagenet classification Q Xie, MT Luong, E Hovy, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 2811 | 2020 |
| Unsupervised data augmentation for consistency training Q Xie, Z Dai, E Hovy, MT Luong, QV Le arXiv preprint arXiv:1904.12848, 2019 | 2478 | 2019 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1548 | 2023 |
| Qanet: Combining local convolution with global self-attention for reading comprehension AW Yu, D Dohan, MT Luong, R Zhao, K Chen, M Norouzi, QV Le arXiv preprint arXiv:1804.09541, 2018 | 1189 | 2018 |
| Better word representations with recursive neural networks for morphology MT Luong, R Socher, CD Manning Proceedings of the seventeenth conference on computational natural language …, 2013 | 1116 | 2013 |
| Towards a human-like open-domain chatbot D Adiwardana, MT Luong, DR So, J Hall, N Fiedel, R Thoppilan, Z Yang, ... arXiv preprint arXiv:2001.09977, 2020 | 1104 | 2020 |
| Addressing the rare word problem in neural machine translation MT Luong, I Sutskever, QV Le, O Vinyals, W Zaremba arXiv preprint arXiv:1410.8206, 2014 | 1001 | 2014 |
| Multi-task sequence to sequence learning MT Luong, QV Le, I Sutskever, O Vinyals, L Kaiser arXiv preprint arXiv:1511.06114, 2015 | 962 | 2015 |
| Scaling autoregressive models for content-rich text-to-image generation J Yu, Y Xu, JY Koh, T Luong, G Baid, Z Wang, V Vasudevan, A Ku, Y Yang, ... arXiv preprint arXiv:2206.10789 2 (3), 5, 2022 | 888 | 2022 |
| Meta pseudo labels H Pham, Z Dai, Q Xie, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 806 | 2021 |
| A hierarchical neural autoencoder for paragraphs and documents J Li, MT Luong, D Jurafsky arXiv preprint arXiv:1506.01057, 2015 | 741 | 2015 |
| Massive exploration of neural machine translation architectures D Britz, A Goldie, MT Luong, Q Le arXiv preprint arXiv:1703.03906, 2017 | 708 | 2017 |
| Stanford neural machine translation systems for spoken language domains MT Luong, CD Manning Proceedings of the 12th International Workshop on Spoken Language …, 2015 | 559 | 2015 |
| Achieving open vocabulary neural machine translation with hybrid word-character models MT Luong, CD Manning arXiv preprint arXiv:1604.00788, 2016 | 488 | 2016 |
| Semi-supervised sequence modeling with cross-view training K Clark, MT Luong, CD Manning, QV Le arXiv preprint arXiv:1809.08370, 2018 | 449 | 2018 |
| Bilingual word representations with monolingual quality in mind MT Luong, H Pham, CD Manning Proceedings of the 1st workshop on vector space modeling for natural …, 2015 | 420 | 2015 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 377 | 2024 |
| Symbolic discovery of optimization algorithms X Chen, C Liang, D Huang, E Real, K Wang, H Pham, X Dong, T Luong, ... Advances in neural information processing systems 36, 2024 | 322 | 2024 |
Quoc V. LeResearch Scientist, Google在 stanford.edu 的电子邮件经过验证
