| 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 | 394 | 2023 |
| Do Large Language Models Know What They Don't Know? Z Yin, Q Sun, Q Guo, J Wu, X Qiu, X Huang Findings of the Association for Computational Linguistics: ACL 2023, 8653–8665, 2023 | 92 | 2023 |
| Secrets of rlhf in large language models part i: Ppo R Zheng, S Dou, S Gao, Y Hua, W Shen, B Wang, Y Liu, S Jin, Q Liu, ... arXiv preprint arXiv:2307.04964, 2023 | 53 | 2023 |
| MOSS: An Open Conversational Large Language Model T Sun, X Zhang, Z He, P Li, Q Cheng, X Liu, H Yan, Y Shao, Q Tang, ... Mach. Intell. Res. (2024). https://doi.org/10.1007/s11633-024-1502-8 7, 2024 | 49* | 2024 |
| Evaluating hallucinations in chinese large language models Q Cheng, T Sun, W Zhang, S Wang, X Liu, M Zhang, J He, M Huang, Z Yin, ... arXiv preprint arXiv:2310.03368, 2023 | 19 | 2023 |
| A survey of reasoning with foundation models J Sun, C Zheng, E Xie, Z Liu, R Chu, J Qiu, J Xu, M Ding, H Li, M Geng, ... arXiv preprint arXiv:2312.11562, 2023 | 18 | 2023 |
| Exchange-of-thought: Enhancing large language model capabilities through cross-model communication Z Yin, Q Sun, C Chang, Q Guo, J Dai, XJ Huang, X Qiu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 17 | 2023 |
| Llatrieval: Llm-verified retrieval for verifiable generation X Li, C Zhu, L Li, Z Yin, T Sun, X Qiu arXiv preprint arXiv:2311.07838, 2023 | 11 | 2023 |
| Can AI Assistants Know What They Don't Know? Q Cheng, T Sun, X Liu, W Zhang, Z Yin, S Li, L Li, K Chen, X Qiu arXiv preprint arXiv:2401.13275, 2024 | 9 | 2024 |
| Improving abstractive dialogue summarization with speaker-aware supervised contrastive learning Z Geng, M Zhong, Z Yin, X Qiu, XJ Huang Proceedings of the 29th International Conference on Computational …, 2022 | 9 | 2022 |
| The Rise and Potential of Large Language Model Based Agents: A Survey (2023) Z Xi, W Chen, X Guo, W He, Y Ding, B Hong, M Zhang, J Wang, S Jin, ... URL https://arxiv. org/abs/2309.07864, 0 | 8 | |
| Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration Q Sun, Z Yin, X Li, Z Wu, X Qiu, L Kong arXiv preprint arXiv:2310.00280, 2023 | 6 | 2023 |
| Rethinking label smoothing on multi-hop question answering Z Yin, Y Wang, X Hu, Y Wu, H Yan, X Zhang, Z Cao, X Huang, X Qiu China National Conference on Chinese Computational Linguistics, 72-87, 2023 | 6 | 2023 |
| Correspondence transformers with asymmetric feature learning and matching flow super-resolution Y Sun, D Zhao, Z Yin, Y Huang, T Gui, W Zhang, W Ge Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Turner: The uncertainty-based retrieval framework for chinese ner Z Geng, H Yan, Z Yin, C An, X Qiu arXiv preprint arXiv:2202.09022, 2022 | 5 | 2022 |
| A survey of neural code intelligence: Paradigms, advances and beyond Q Sun, Z Chen, F Xu, K Cheng, C Ma, Z Yin, J Wang, C Han, R Zhu, ... arXiv preprint arXiv:2403.14734, 2024 | 3 | 2024 |
| What dense graph do you need for self-attention? Y Wang, CT Lee, Q Guo, Z Yin, Y Zhou, X Huang, X Qiu International Conference on Machine Learning, 22752-22768, 2022 | 3 | 2022 |
| Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem Y Sun, Z Yin, Q Guo, J Wu, X Qiu, H Zhao Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 1 | 2024 |
| -NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL Y Zhou, Y He, S Tian, Y Ni, Z Yin, X Liu, C Ji, S Liu, X Qiu, G Ye, H Chai | | 2024 |
| Unified Active Retrieval for Retrieval Augmented Generation Q Cheng, X Li, S Li, Q Zhu, Z Yin, Y Shao, L Li, T Sun, H Yan, X Qiu arXiv preprint arXiv:2406.12534, 2024 | | 2024 |
Xipeng Qiu（邱锡鹏）Professor of Computer Science, Fudan University在 fudan.edu.cn 的电子邮件经过验证
