| Editing large language models: Problems, methods, and opportunities Y Yao, P Wang, B Tian, S Cheng, Z Li, S Deng, H Chen, N Zhang arXiv preprint arXiv:2305.13172, 2023 | 131 | 2023 |
| From discrimination to generation: Knowledge graph completion with generative transformer X Xie, N Zhang, Z Li, S Deng, H Chen, F Xiong, M Chen, H Chen Companion Proceedings of the Web Conference 2022, 162-165, 2022 | 61 | 2022 |
| Deepke: A deep learning based knowledge extraction toolkit for knowledge base population N Zhang, X Xu, L Tao, H Yu, H Ye, S Qiao, X Xie, X Chen, Z Li, L Li, ... arXiv preprint arXiv:2201.03335, 2022 | 35 | 2022 |
| Construction and applications of billion-scale pre-trained multimodal business knowledge graph S Deng, C Wang, Z Li, N Zhang, Z Dai, H Chen, F Xiong, M Yan, Q Chen, ... 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2988-3002, 2023 | 21 | 2023 |
| Unveiling the pitfalls of knowledge editing for large language models Z Li, N Zhang, Y Yao, M Wang, X Chen, H Chen arXiv preprint arXiv:2310.02129, 2023 | 19 | 2023 |
| Lambdakg: A library for pre-trained language model-based knowledge graph embeddings X Xie, Z Li, X Wang, Z Xi, N Zhang arXiv preprint arXiv:2210.00305, 2022 | 6 | 2022 |
| Construction and applications of open business knowledge graph S Deng, H Chen, Z Li, F Xiong, Q Chen, M Chen, X Liu, J Chen, JZ Pan, ... arXiv preprint arXiv:2209.15214, 2022 | 5 | 2022 |
Ningyu Zhang (张宁豫)Associate Professor, Zhejiang University在 zju.edu.cn 的电子邮件经过验证
