| 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 | 435 | 2024 |
| Larger language models do in-context learning differently J Wei, J Wei, Y Tay, D Tran, A Webson, Y Lu, X Chen, H Liu, D Huang, ... arXiv preprint arXiv:2303.03846, 2023 | 301 | 2023 |
| Simple synthetic data reduces sycophancy in large language models J Wei, D Huang, Y Lu, D Zhou, QV Le arXiv preprint arXiv:2308.03958, 2023 | 81 | 2023 |
| Symbol tuning improves in-context learning in language models J Wei, L Hou, A Lampinen, X Chen, D Huang, Y Tay, X Chen, Y Lu, ... arXiv preprint arXiv:2305.08298, 2023 | 71 | 2023 |
| Rethinking co-design of neural architectures and hardware accelerators Y Zhou, X Dong, B Akin, M Tan, D Peng, T Meng, A Yazdanbakhsh, ... arXiv preprint arXiv:2102.08619, 2021 | 36 | 2021 |
| Cosmo Du, et al. Long-form factuality in large language models J Wei, C Yang, X Song, Y Lu, N Hu, D Tran, D Peng, R Liu, D Huang arXiv preprint arXiv:2403.18802, 2024 | 28 | 2024 |
| Brainformers: Trading simplicity for efficiency Y Zhou, N Du, Y Huang, D Peng, C Lan, D Huang, S Shakeri, D So, ... International Conference on Machine Learning, 42531-42542, 2023 | 27 | 2023 |
| Symbolic discovery of optimization algorithms. arXiv 2023 X Chen, C Liang, D Huang, E Real, K Wang, Y Liu, H Pham, X Dong, ... arXiv preprint arXiv:2302.06675, 2023 | 22 | 2023 |
| Towards the co-design of neural networks and accelerators Y Zhou, X Dong, T Meng, M Tan, B Akin, D Peng, A Yazdanbakhsh, ... Proceedings of Machine Learning and Systems 4, 141-152, 2022 | 18 | 2022 |
| Cosmo Du, and Quoc V J Wei, C Yang, X Song, Y Lu, N Hu, D Tran, D Peng, R Liu, D Huang Le. Long-form factuality in large language models, 2024 | 17 | 2024 |
| Evolved optimizer for vision X Chen, C Liang, D Huang, E Real, Y Liu, K Wang, CJ Hsieh, Y Lu, QV Le First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022 | 16 | 2022 |
| Long-form factuality in large language models J Wei, C Yang, X Song, Y Lu, N Hu, D Tran, D Peng, R Liu, D Huang, ... arXiv preprint arXiv:2403.18802, 2024 | 15 | 2024 |
| Symbolic discovery of optimization algorithms (2023) X Chen, C Liang, D Huang, E Real, K Wang, Y Liu, H Pham, X Dong, ... URL https://arxiv. org/abs/2302.06675, 0 | 14 | |
| Cosmo Du, and Quoc V. Le. 2024. Long-form factuality in large language models J Wei, C Yang, X Song, Y Lu, N Hu, J Huang, D Tran, D Peng, R Liu, ... Preprint, 0 | 12 | |
| Larger language models do in-context learning differently, 2023 J Wei, J Wei, Y Tay, D Tran, A Webson, Y Lu, X Chen, H Liu, D Huang, ... URL https://arxiv. org/abs/2303.03846, 2023 | 10 | 2023 |
| TabNAS: Rejection sampling for neural architecture search on tabular datasets C Yang, G Bender, H Liu, PJ Kindermans, M Udell, Y Lu, QV Le, D Huang Advances in Neural Information Processing Systems 35, 11906-11917, 2022 | 10 | 2022 |
| Symbolic discovery of optimization algorithms. arXiv X Chen, C Liang, D Huang, E Real, K Wang, Y Liu, H Pham, X Dong, ... arXiv preprint arXiv:2302.06675 24, 2023 | 9 | 2023 |
| Larger language models do in-context learning differently, March 2023 J Wei, J Wei, Y Tay, D Tran, A Webson, Y Lu, X Chen, H Liu, D Huang, ... URL http://arxiv. org/abs/2303.03846, 0 | 9 | |
| Hyperscale hardware optimized neural architecture search S Li, G Andersen, T Chen, L Cheng, J Grady, D Huang, QV Le, A Li, X Li, ... Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 8 | 2023 |
| Neural phrase-to-phrase machine translation J Feng, L Kong, PS Huang, C Wang, D Huang, J Mao, K Qiao, D Zhou arXiv preprint arXiv:1811.02172, 2018 | 4 | 2018 |
