| Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... Journal of Machine Learning Research 25 (70), 1-53, 2024 | 3275 | 2024 |
| 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 | 2494 | 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 | 966 | 2024 |
| Mobilebert: a compact task-agnostic bert for resource-limited devices Z Sun, H Yu, X Song, R Liu, Y Yang, D Zhou arXiv preprint arXiv:2004.02984, 2020 | 843 | 2020 |
| Large language models can self-improve J Huang, SS Gu, L Hou, Y Wu, X Wang, H Yu, J Han arXiv preprint arXiv:2210.11610, 2022 | 490 | 2022 |
| TensorFlow model garden H Yu, C Chen, X Du, Y Li, A Rashwan, L Hou, P Jin, F Yang, F Liu, J Kim, ... Model Garden for TensorFlow., 2020 | 109 | 2020 |
| Huai hsin Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, E Li, X Wang, ... Le, and Jason Wei, 2022 | 103 | 2022 |
| Latent factor transition for dynamic collaborative filtering C Zhang, K Wang, H Yu, J Sun, EP Lim Proceedings of the 2014 SIAM international conference on data mining, 452-460, 2014 | 97 | 2014 |
| Generating representative headlines for news stories X Gu, Y Mao, J Han, J Liu, Y Wu, C Yu, D Finnie, H Yu, J Zhai, N Zukoski Proceedings of The Web Conference 2020, 1773-1784, 2020 | 80 | 2020 |
| Mixture-of-experts meets instruction tuning: A winning combination for large language models S Shen, L Hou, Y Zhou, N Du, S Longpre, J Wei, HW Chung, B Zoph, ... arXiv preprint arXiv:2305.14705, 2023 | 67 | 2023 |
| Scaling instruction-finetuned language models (2022) HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... arXiv preprint arXiv:2210.11416 3, 2022 | 63 | 2022 |
| On the transformer growth for progressive bert training X Gu, L Liu, H Yu, J Li, C Chen, J Han arXiv preprint arXiv:2010.12562, 2020 | 59 | 2020 |
| Mining multi-aspect reflection of news events in twitter: Discovery, linking and presentation J Wang, W Tong, H Yu, M Li, X Ma, H Cai, T Hanratty, J Han 2015 IEEE International Conference on Data Mining, 429-438, 2015 | 41 | 2015 |
| Flan-moe: Scaling instruction-finetuned language models with sparse mixture of experts S Shen, L Hou, Y Zhou, N Du, S Longpre, J Wei, HW Chung, B Zoph, ... arXiv preprint arXiv:2305.14705 2, 2023 | 30 | 2023 |
| Are features equally representative? A feature-centric recommendation C Zhang, K Wang, E Lim, Q Xu, J Sun, H Yu Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 24 | 2015 |
| Data-driven contextual valence shifter quantification for multi-theme sentiment analysis H Yu, J Shang, M Hsu, M Castellanos, J Han Proceedings of the 25th ACM international on conference on information and …, 2016 | 21 | 2016 |
| Enct5: Fine-tuning t5 encoder for non-autoregressive tasks F Liu, S Shakeri, H Yu, J Li arXiv preprint arXiv:2110.08426 2, 2021 | 19 | 2021 |
| Multi-step problem solving through a verifier: An empirical analysis on model-induced process supervision Z Wang, Y Li, Y Wu, L Luo, L Hou, H Yu, J Shang arXiv preprint arXiv:2402.02658, 2024 | 18 | 2024 |
| TensorFlow model garden. 2020 H Yu, C Chen, X Du, Y Li, A Rashwan, L Hou, P Jin, F Yang, F Liu, J Kim, ... URL https://github. com/tensorflow/models, 2020 | 18 | 2020 |
| Mobilebert: Task-agnostic compression of bert by progressive knowledge transfer Z Sun, H Yu, X Song, R Liu, Y Yang, D Zhou | 17 | 2019 |
