| Knowprompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction X Chen, N Zhang, X Xie, S Deng, Y Yao, C Tan, F Huang, L Si, H Chen Proceedings of the ACM Web conference 2022, 2778-2788, 2022 | 435 | 2022 |
| Reasoning with language model prompting: A survey S Qiao, Y Ou, N Zhang, X Chen, Y Yao, S Deng, C Tan, F Huang, H Chen ACL 2023, 2022 | 262 | 2022 |
| Editing Large Language Models: Problems, Methods, and Opportunities Y Yao, P Wang, B Tian, S Cheng, Z Li, S Deng, H Chen, N Zhang EMNLP 2023, 2023 | 245 | 2023 |
| Survey on factuality in large language models: Knowledge, retrieval and domain-specificity C Wang, X Liu, Y Yue, X Tang, T Zhang, C Jiayang, Y Yao, W Gao, X Hu, ... arXiv preprint arXiv:2310.07521, 2023 | 184 | 2023 |
| Llms for knowledge graph construction and reasoning: Recent capabilities and future opportunities Y Zhu, X Wang, J Chen, S Qiao, Y Ou, Y Yao, S Deng, H Chen, N Zhang World Wide Web 27 (5), 58, 2024 | 167 | 2024 |
| Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction X Chen, N Zhang, L Li, Y Yao, S Deng, C Tan, F Huang, L Si, H Chen Findings of the Association for Computational Linguistics: NAACL 2022, 2022 | 121 | 2022 |
| A comprehensive study of knowledge editing for large language models N Zhang, Y Yao, B Tian, P Wang, S Deng, M Wang, Z Xi, S Mao, J Zhang, ... arXiv preprint arXiv:2401.01286, 2024 | 110* | 2024 |
| Easyedit: An easy-to-use knowledge editing framework for large language models P Wang, N Zhang, B Tian, Z Xi, Y Yao, Z Xu, M Wang, S Mao, X Wang, ... ACL 2024 Demo Track, 2023 | 71* | 2023 |
| Kformer: Knowledge injection in transformer feed-forward layers Y Yao, S Huang, L Dong, F Wei, H Chen, N Zhang CCF International Conference on Natural Language Processing and Chinese …, 2022 | 48 | 2022 |
| Deepke: A deep learning based knowledge extraction toolkit for knowledge base population N Zhang, X Xu, L Tao, H Yu, H Ye, X Xie, X Chen, Z Li, L Li, X Liang, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 48 | 2022 |
| Adapt-and-distill: Developing small, fast and effective pretrained language models for domains Y Yao, S Huang, W Wang, L Dong, F Wei Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 | 48 | 2021 |
| Unveiling the pitfalls of knowledge editing for large language models Z Li, N Zhang, Y Yao, M Wang, X Chen, H Chen ICLR 2024, 2023 | 44 | 2023 |
| Editing personality for llms S Mao, N Zhang, X Wang, M Wang, Y Yao, Y Jiang, P Xie, F Huang, ... NLPCC 2024, 2023 | 38* | 2023 |
| WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models P Wang, Z Li, N Zhang, Z Xu, Y Yao, Y Jiang, P Xie, F Huang, H Chen NeurIPS 2024, 2024 | 23 | 2024 |
| Schema-aware reference as prompt improves data-efficient knowledge graph construction Y Yao, S Mao, N Zhang, X Chen, S Deng, X Chen, H Chen Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 16* | 2023 |
| Knowledge mechanisms in large language models: A survey and perspective M Wang, Y Yao, Z Xu, S Qiao, S Deng, P Wang, X Chen, JC Gu, Y Jiang, ... EMNLP 2024 Findings, 2024 | 14 | 2024 |
| Knowledge Circuits in Pretrained Transformers Y Yao, N Zhang, Z Xi, M Wang, Z Xu, S Deng, H Chen NeurIPS 2024, 2024 | 13* | 2024 |
| Editing conceptual knowledge for large language models X Wang, S Mao, N Zhang, S Deng, Y Yao, Y Shen, L Liang, J Gu, H Chen EMNLP 2024 Findings, 2024 | 13 | 2024 |
| Detoxifying Large Language Models via Knowledge Editing M Wang, N Zhang, Z Xu, Z Xi, S Deng, Y Yao, Q Zhang, L Yang, J Wang, ... ACL 2024, 2024 | 9 | 2024 |
| Knowledge Rumination for Pre-trained Language Models Y Yao, P Wang, S Mao, C Tan, F Huang, H Chen, N Zhang EMNLP 2023, 2023 | 8 | 2023 |
Ningyu Zhang (张宁豫)Associate Professor, Zhejiang UniversityCorreu electrònic verificat a zju.edu.cn
