Haotian Ye
Haotian Ye
Computer Science Ph.D. at Stanford University
Patvirtintas el. paštas - Pagrindinis puslapis
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
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
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
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
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
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
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
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
Out-of-distribution generalization analysis via influence function
H Ye, C Xie, Y Liu, Z Li
arXiv preprint arXiv:2101.08521, 2021
Risk variance penalization
C Xie, H Ye, F Chen, Y Liu, R Sun, Z Li
arXiv preprint arXiv:2006.07544, 2020
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
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
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
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
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Straipsniai 1–14