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Peng Wang
Peng Wang
在 zju.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1702023
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
392022
Reasoning through memorization: Nearest neighbor knowledge graph embeddings
P Wang, X Xie, X Wang, N Zhang
NLPCC 2023 (oral), 2023
192023
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
62024
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
52023
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
32024
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
12024
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
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