| Parameter-efficient fine-tuning of large-scale pre-trained language models N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... Nature Machine Intelligence 5 (3), 220-235, 2023 | 666 | 2023 |
| Communicative agents for software development C Qian, X Cong, C Yang, W Chen, Y Su, J Xu, Z Liu, M Sun arXiv preprint arXiv:2307.07924 6 (3), 2023 | 508* | 2023 |
| Chateval: Towards better llm-based evaluators through multi-agent debate CM Chan, W Chen, Y Su, J Yu, W Xue, S Zhang, J Fu, Z Liu arXiv preprint arXiv:2308.07201, 2023 | 335 | 2023 |
| Tool learning with foundation models Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, X Zhou, Y Huang, ... ACM Computing Surveys 57 (4), 1-40, 2024 | 254 | 2024 |
| Delta tuning: A comprehensive study of parameter efficient methods for pre-trained language models N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... arXiv preprint arXiv:2203.06904, 2022 | 236 | 2022 |
| Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents W Chen, Y Su, J Zuo, C Yang, C Yuan, C Qian, CM Chan, Y Qin, Y Lu, ... arXiv preprint arXiv:2308.10848 2 (4), 6, 2023 | 159 | 2023 |
| Fully hyperbolic neural networks W Chen, X Han, Y Lin, H Zhao, Z Liu, P Li, M Sun, J Zhou arXiv preprint arXiv:2105.14686, 2021 | 111 | 2021 |
| Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors W Chen, Y Su, J Zuo, C Yang, C Yuan, CM Chan, H Yu, Y Lu, YH Hung, ... The Twelfth International Conference on Learning Representations, 2023 | 95 | 2023 |
| Exploring low-dimensional intrinsic task subspace via prompt tuning Y Qin, X Wang, Y Su, Y Lin, N Ding, Z Liu, J Li, L Hou, P Li, M Sun, J Zhou arXiv preprint arXiv:2110.07867, 2021 | 40 | 2021 |
| Gact: Activation compressed training for generic network architectures X Liu, L Zheng, D Wang, Y Cen, W Chen, X Han, J Chen, Z Liu, J Tang, ... International Conference on Machine Learning, 14139-14152, 2022 | 30 | 2022 |
| Experiential co-learning of software-developing agents C Qian, Y Dang, J Li, W Liu, Z Xie, Y Wang, W Chen, C Yang, X Cong, ... arXiv preprint arXiv:2312.17025, 2023 | 29 | 2023 |
| D-bot: Database diagnosis system using large language models X Zhou, G Li, Z Sun, Z Liu, W Chen, J Wu, J Liu, R Feng, G Zeng arXiv preprint arXiv:2312.01454, 2023 | 24 | 2023 |
| Internet of agents: Weaving a web of heterogeneous agents for collaborative intelligence W Chen, Z You, R Li, Y Guan, C Qian, C Zhao, C Yang, R Xie, Z Liu, ... arXiv preprint arXiv:2407.07061, 2024 | 23 | 2024 |
| Exploring mode connectivity for pre-trained language models Y Qin, C Qian, J Yi, W Chen, Y Lin, X Han, Z Liu, M Sun, J Zhou arXiv preprint arXiv:2210.14102, 2022 | 22 | 2022 |
| Exploring universal intrinsic task subspace via prompt tuning Y Qin, X Wang, Y Su, Y Lin, N Ding, J Yi, W Chen, Z Liu, J Li, L Hou, P Li, ... arXiv preprint arXiv:2110.07867, 2021 | 19 | 2021 |
| Cross-lingual contrastive learning for fine-grained entity typing for low-resource languages X Han, Y Luo, W Chen, Z Liu, M Sun, Z Botong, H Fei, S Zheng Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 13 | 2022 |
| Quantifying similarity between relations with fact distribution W Chen, H Zhu, X Han, Z Liu, M Sun arXiv preprint arXiv:1907.08937, 2019 | 10 | 2019 |
| Multi-Agent Software Development through Cross-Team Collaboration Z Du, C Qian, W Liu, Z Xie, Y Wang, Y Dang, W Chen, C Yang arXiv preprint arXiv:2406.08979, 2024 | 8 | 2024 |
| Delta tuning: A comprehensive study of parameter efficient methods for pre-trained language models. CoRR, abs/2203.06904, 2022. doi: 10.48550 N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... arXiv preprint arXiv.2203.06904, 0 | 8 | |
| Iterative Experience Refinement of Software-Developing Agents C Qian, J Li, Y Dang, W Liu, YF Wang, Z Xie, W Chen, C Yang, Y Zhang, ... arXiv preprint arXiv:2405.04219, 2024 | 7 | 2024 |
Zhiyuan LiuAssociate Professor, Tsinghua UniversityBestätigte E-Mail-Adresse bei tsinghua.edu.cn