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 | 296 | 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 | 128 | 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 | 87 | 2023 |
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 | 68 | 2022 |
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 | 62 | 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 arXiv preprint arXiv:2305.13168, 2023 | 53 | 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 | 37 | 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 | 33 | 2021 |
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 | 30* | 2024 |
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 | 30 | 2022 |
Easyedit: An easy-to-use knowledge editing framework for large language models P Wang, N Zhang, X Xie, Y Yao, B Tian, M Wang, Z Xi, S Cheng, K Liu, ... arXiv preprint arXiv:2308.07269, 2023 | 26* | 2023 |
Editing personality for llms S Mao, N Zhang, X Wang, M Wang, Y Yao, Y Jiang, P Xie, F Huang, ... arXiv preprint arXiv:2310.02168, 2023 | 15 | 2023 |
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 | 13 | 2023 |
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 | 5* | 2023 |
Knowledge Rumination for Pre-trained Language Models Y Yao, P Wang, S Mao, C Tan, F Huang, H Chen, N Zhang EMNLP 2023, 2023 | 4 | 2023 |
Editing Large Language Models N Zhang, Y Yao, S Deng Proceedings of the 13th International Joint Conference on Natural Language …, 2023 | 2 | 2023 |
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, ... arXiv preprint arXiv:2403.14472, 2024 | 1 | 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 arXiv preprint arXiv:2403.06259, 2024 | 1 | 2024 |