| Searching for best practices in retrieval-augmented generation X Wang, Z Wang, X Gao, F Zhang, Y Wu, Z Xu, T Shi, Z Wang, S Li, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 33 | 2024 |
| Aligning large language models with human preferences through representation engineering W Liu, X Wang, M Wu, T Li, C Lv, Z Ling, J Zhu, C Zhang, X Zheng, ... ACL 2024, 2023 | 18 | 2023 |
| Hallucination detection for generative large language models by bayesian sequential estimation X Wang, Y Yan, L Huang, X Zheng, XJ Huang Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 17 | 2023 |
| Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective T Li, Z Wang, W Liu, M Wu, S Dou, C Lv, X Wang, X Zheng, XJ Huang Proceedings of the 31st International Conference on Computational …, 2025 | 15* | 2025 |
| Advancing parameter efficiency in fine-tuning via representation editing M Wu, W Liu, X Wang, T Li, C Lv, Z Ling, J Zhu, C Zhang, X Zheng, ... arXiv preprint arXiv:2402.15179, 2024 | 14 | 2024 |
| Promoting Data and Model Privacy in Federated Learning through Quantized LoRA JH Zhu, C Lv, X Wang, M Wu, W Liu, T Li, Z Ling, C Zhang, X Zheng, ... arXiv preprint arXiv:2406.10976, 2024 | 2 | 2024 |
| Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement Z Huang, X Wang, F Zhang, Z Xu, C Zhang, X Zheng, X Huang arXiv preprint arXiv:2407.01461, 2024 | | 2024 |
| Towards Biologically Plausible Computing: A Comprehensive Comparison C Lv, Y Gu, Z Guo, Z Xu, Y Wu, F Zhang, T Shi, Z Wang, R Yin, Y Shang, ... arXiv preprint arXiv:2406.16062, 2024 | | 2024 |
| Measure Children’s Mindreading Ability with Machine Reading Y Yan, X Wang, X Zhou, X Zheng, XJ Huang Findings of the Association for Computational Linguistics: EMNLP 2023, 8366-8375, 2023 | | 2023 |
Xiaoqing ZhengFudan University在 fudan.edu.cn 的电子邮件经过验证
