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 Main (Paper Digest Most Influential Paper), 2023 | 170 | 2023 |
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, ... arXiv preprint arXiv:2401.01286, 2024 | 59* | 2024 |
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, ... ACL 2024 Demonstration, 2023 | 57* | 2023 |
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, ... EMNLP 2022 Demonstration, 2022 | 39 | 2022 |
Reasoning through memorization: Nearest neighbor knowledge graph embeddings P Wang, X Xie, X Wang, N Zhang NLPCC 2023 (oral), 2023 | 19 | 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 | 6 | 2024 |
Knowledge rumination for pre-trained language models Y Yao, P Wang, S Mao, C Tan, F Huang, H Chen, N Zhang EMNLP 2023 Main, 2023 | 5 | 2023 |
RaFe: Ranking Feedback Improves Query Rewriting for RAG S Mao, Y Jiang, B Chen, X Li, P Wang, X Wang, P Xie, F Huang, H Chen, ... EMNLP 2024 Findings, 2024 | 3 | 2024 |
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 | 1 | 2024 |
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System N Zhang, Z Xi, Y Luo, P Wang, B Tian, Y Yao, J Zhang, S Deng, M Sun, ... LLM+KG@VLDB2024, 2024 | | 2024 |
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process P Wang, X Wang, C Lou, S Mao, P Xie, Y Jiang EMNLP 2024 Main, 2024 | | 2024 |