| Large language models and causal inference in collaboration: A comprehensive survey X Liu, P Xu, J Wu, J Yuan, Y Yang, Y Zhou, F Liu, T Guan, H Wang, T Yu, ... https://arxiv.org/abs/2403.09606, 2024 | 144* | 2024 |
| DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization G Xu, R Zheng, Y Liang, X Wang, Z Yuan, T Ji, Y Luo, X Liu, J Yuan, ... arXiv preprint arXiv:2310.19668, 2023 | 29 | 2023 |
| Fmint: Bridging human designed and data pretrained models for differential equation foundation model Z Song, J Yuan, H Yang arXiv preprint arXiv:2404.14688, 2024 | 10 | 2024 |
| Optimal control for sampling the transition path process and estimating rates J Yuan, A Shah, C Bentz, M Cameron Communications in Nonlinear Science and Numerical Simulation 129, 107701, 2024 | 8 | 2024 |
| Csrec: Rethinking sequential recommendation from a causal perspective X Liu, J Yuan, Y Zhou, J Li, F Huang, W Ai arXiv preprint arXiv:2409.05872, 2024 | 2 | 2024 |
| C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder X Liu, J Yuan, B An, Y Xu, Y Yang, F Huang arXiv preprint arXiv:2310.17325, 2023 | 1 | 2023 |
| Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine Y Yang, Q Jin, R Leaman, X Liu, G Xiong, M Sarfo-Gyamfi, C Gong, ... arXiv preprint arXiv:2411.14487, 2024 | | 2024 |
