| The rise and potential of large language model based agents: A survey Z Xi, W Chen, X Guo, W He, Y Ding, B Hong, M Zhang, J Wang, S Jin, ... arXiv preprint arXiv:2309.07864, 2023 | 391 | 2023 |
| Delve into ppo: Implementation matters for stable rlhf R Zheng, S Dou, S Gao, Y Hua, W Shen, B Wang, Y Liu, S Jin, Y Zhou, ... NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | 75* | 2023 |
| Secrets of rlhf in large language models part ii: Reward modeling B Wang, R Zheng, L Chen, Y Liu, S Dou, C Huang, W Shen, S Jin, E Zhou, ... arXiv preprint arXiv:2401.06080, 2024 | 35* | 2024 |
| Self-polish: Enhance reasoning in large language models via problem refinement Z Xi, S Jin, Y Zhou, R Zheng, S Gao, T Gui, Q Zhang, X Huang EMNLP 2023 Findings, 2023 | 21 | 2023 |
| Safety and Ethical Concerns of Large Language Models Z Xi, R Zheng, T Gui CCL 2023, 9-16, 2023 | 15* | 2023 |
| Loramoe: Revolutionizing mixture of experts for maintaining world knowledge in language model alignment S Dou, E Zhou, Y Liu, S Gao, J Zhao, W Shen, Y Zhou, Z Xi, X Wang, ... ACL 2024, 2023 | 10 | 2023 |
| Efficient Adversarial Training with Robust Early-bird Tickets Z Xi, R Zheng, T Gui, Q Zhang, X Huang EMNLP 2022, 2022 | 10 | 2022 |
| Towards understanding the capability of large language models on code clone detection: a survey S Dou, J Shan, H Jia, W Deng, Z Xi, W He, Y Wu, T Gui, Y Liu, X Huang arXiv preprint arXiv:2308.01191, 2023 | 8 | 2023 |
| EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models W Zhou, X Wang, L Xiong, H Xia, Y Gu, M Chai, F Zhu, C Huang, S Dou, ... arXiv preprint arXiv:2403.12171, 2024 | 4 | 2024 |
| StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback S Dou, Y Liu, H Jia, L Xiong, E Zhou, J Shan, C Huang, W Shen, X Fan, ... ACL 2024, 2024 | 3 | 2024 |
| Improving generalization of alignment with human preferences through group invariant learning R Zheng, W Shen, Y Hua, W Lai, S Dou, Y Zhou, Z Xi, X Wang, H Huang, ... ICLR 2024, 2023 | 3 | 2023 |
| Characterizing the impacts of instances on robustness R Zheng, Z Xi, Q Liu, W Lai, T Gui, Q Zhang, XJ Huang, J Ma, Y Shan, ... ACL 2023 Findings, 2314-2332, 2023 | 3 | 2023 |
| Connectivity Patterns are Task Embeddings Z Xi, R Zheng, Y Zhang, XJ Huang, Z Wei, M Peng, M Sun, Q Zhang, T Gui ACL 2023 Findings, 2023 | 3 | 2023 |
| Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning Z Xi, W Chen, B Hong, S Jin, R Zheng, W He, Y Ding, S Liu, X Guo, ... ICML 2024, 2024 | 2 | 2024 |
| MouSi: Poly-Visual-Expert Vision-Language Models X Fan, T Ji, C Jiang, S Li, S Jin, S Song, J Wang, B Hong, L Chen, ... arXiv preprint arXiv:2401.17221, 2024 | 2 | 2024 |
| AgentGym: Evolving Large Language Model-based Agents across Diverse Environments Z Xi, Y Ding, W Chen, B Hong, H Guo, J Wang, D Yang, C Liao, X Guo, ... arXiv preprint arXiv:2406.04151, 2024 | 1 | 2024 |
| TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models X Wang, Y Zhang, T Chen, S Gao, S Jin, X Yang, Z Xi, R Zheng, Y Zou, ... arXiv preprint arXiv:2310.06762, 2023 | 1 | 2023 |
| Toward Optimal LLM Alignments Using Two-Player Games R Zheng, H Guo, Z Liu, X Zhang, Y Yao, X Xu, Z Wang, Z Xi, T Gui, ... arXiv preprint arXiv:2406.10977, 2024 | | 2024 |
| ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks Y Zhou, W Chen, R Zheng, Z Xi, T Gui, Q Zhang, XJ Huang COLING 2024, 12527-12538, 2024 | | 2024 |
| Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models W He, S Liu, J Zhao, Y Ding, Y Lu, Z Xi, T Gui, Q Zhang, X Huang NAACL 2024 Findings, 2024 | | 2024 |
Huang Xuanjing (黄萱菁)Professor of Computer Science, Fudan University在 fudan.edu.cn 的电子邮件经过验证
