| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 7011 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 3454 | 2024 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1422 | 2025 |
| Root mean square layer normalization B Zhang, R Sennrich NeurIPS, 2019 | 1408 | 2019 |
| Prompting large language model for machine translation: A case study B Zhang, B Haddow, A Birch International Conference on Machine Learning, 41092-41110, 2023 | 452 | 2023 |
| Improving massively multilingual neural machine translation and zero-shot translation B Zhang, P Williams, I Titov, R Sennrich ACL, 2020 | 439 | 2020 |
| Revisiting low-resource neural machine translation: A case study R Sennrich, B Zhang ACL, 2019 | 317 | 2019 |
| When scaling meets llm finetuning: The effect of data, model and finetuning method B Zhang, Z Liu, C Cherry, O Firat arXiv preprint arXiv:2402.17193, 2024 | 287 | 2024 |
| Variational neural machine translation B Zhang, D Xiong, J Su, H Duan, M Zhang EMNLP, 2016 | 247 | 2016 |
| Direct language model alignment from online ai feedback S Guo, B Zhang, T Liu, T Liu, M Khalman, F Llinares, A Rame, T Mesnard, ... arXiv preprint arXiv:2402.04792, 2024 | 246* | 2024 |
| Many-shot in-context learning R Agarwal, A Singh, L Zhang, B Bohnet, L Rosias, S Chan, B Zhang, ... Advances in Neural Information Processing Systems 37, 76930-76966, 2024 | 216 | 2024 |
| Madlad-400: A multilingual and document-level large audited dataset S Kudugunta, I Caswell, B Zhang, X Garcia, D Xin, A Kusupati, R Stella, ... Advances in Neural Information Processing Systems 36, 67284-67296, 2023 | 216 | 2023 |
| Neural machine translation with GRU-gated attention model B Zhang, D Xiong, J Xie, J Su TNNLS 31 (11), 4688-4698, 2020 | 172* | 2020 |
| Neural machine translation with deep attention B Zhang, D Xiong, J Su TPAMI 42 (1), 154-163, 2018 | 144 | 2018 |
| Shallow convolutional neural network for implicit discourse relation recognition B Zhang, J Su, D Xiong, Y Lu, H Duan, J Yao EMNLP, 2230-2235, 2015 | 140 | 2015 |
| Accelerating neural transformer via an average attention network B Zhang, D Xiong, J Su ACL, 2018 | 134 | 2018 |
| Improving deep transformer with depth-scaled initialization and merged attention B Zhang, I Titov, R Sennrich EMNLP, 2019 | 120 | 2019 |
| Share or not? learning to schedule language-specific capacity for multilingual translation B Zhang, A Bapna, R Sennrich, O Firat ICLR, 2020 | 102 | 2020 |
| Variational recurrent neural machine translation J Su, S Wu, D Xiong, Y Lu, X Han, B Zhang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 95 | 2018 |
| SLTUNET: A simple unified model for sign language translation B Zhang, M Müller, R Sennrich arXiv preprint arXiv:2305.01778, 2023 | 92 | 2023 |
Rico SennrichUniversity of ZurichVerified email at cl.uzh.ch
