| Discovering latent knowledge in language models without supervision C Burns*, H Ye*, D Klein, J Steinhardt The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 156 | 2022 |
| DeePMD-kit v2: A software package for Deep Potential models J Zeng, D Zhang, D Lu, P Mo, Z Li, Y Chen, M Rynik, L Huang, Z Li, S Shi, ... The Journal of Chemical Physics, Volume 159, Issue 5, 2023 | 96 | 2023 |
| Towards a Theoretical Framework of Out-of-Distribution Generalization H Ye, C Xie, T Cai, R Li, Z Li, L Wang Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 2021 | 94 | 2021 |
| Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective G Feng*, Y Gu*, B Zhang*, H Ye*, D He, L Wang Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023 | 61 | 2023 |
| In-context vectors: Making in context learning more effective and controllable through latent space steering S Liu, H Ye, L Xing, J Zou arXiv preprint arXiv:2311.06668, 2023 | 21 | 2023 |
| Monitoring ai-modified content at scale: A case study on the impact of chatgpt on ai conference peer reviews W Liang, Z Izzo, Y Zhang, H Lepp, H Cao, X Zhao, L Chen, H Ye, S Liu, ... arXiv preprint arXiv:2403.07183, 2024 | 19 | 2024 |
| A computational framework for neural network-based variational Monte Carlo with Forward Laplacian R Li*, H Ye*, D Jiang, X Wen, C Wang, Z Li, X Li, D He, J Chen, W Ren, ... Nature Machine Intelligence, 1-11, 2024 | 15* | 2024 |
| Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise H Ye, J Zou, L Zhang The 26th International Conference on Artificial Intelligence and Statistics …, 2022 | 13 | 2022 |
| Risk variance penalization C Xie, H Ye, F Chen, Y Liu, R Sun, Z Li arXiv preprint arXiv:2006.07544, 2020 | 13 | 2020 |
| Out-of-distribution generalization analysis via influence function H Ye, C Xie, Y Liu, Z Li arXiv preprint arXiv:2101.08521, 2021 | 12 | 2021 |
| Selecting Large Language Model to Fine-tune via Rectified Scaling Law H Lin*, B Huang*, H Ye*, Q Chen, Z Wang, S Li, J Ma, X Wan, J Zou, ... arXiv preprint arXiv:2402.02314, 2024 | 3 | 2024 |
| On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness H Ye*, X Chen*, L Wang, SS Du The Fortieth International Conference on Machine Learning (ICML 2023); arXiv …, 2022 | 2 | 2022 |
| DOF: Accelerating High-order Differential Operators with Forward Propagation R Li*, C Wang*, H Ye*, D He, L Wang arXiv preprint arXiv:2402.09730, 2024 | 1 | 2024 |
| Representation of General Continuous Anti-symmetric Function H Ye*, R Li*, Y Gu*, Y Lu, D He, L Wang arXiv preprint arXiv:2402.15167, 2024 | | 2024 |
Liwei WangProfessor, Peking University在 cis.pku.edu.cn 的电子邮件经过验证
