no code implementations • 24 May 2024 • Keyuan Cheng, Muhammad Asif Ali, Shu Yang, Gang Lin, Yuxuan zhai, Haoyang Fei, Ke Xu, Lu Yu, Lijie Hu, Di Wang
To address these issues, in this paper, we propose a novel framework named RULE-KE, i. e., RULE based Knowledge Editing, which is a cherry on the top for augmenting the performance of all existing MQA methods under KE.
no code implementations • 30 Mar 2024 • Keyuan Cheng, Gang Lin, Haoyang Fei, Yuxuan zhai, Lu Yu, Muhammad Asif Ali, Lijie Hu, Di Wang
Multi-hop question answering (MQA) under knowledge editing (KE) has garnered significant attention in the era of large language models.