Multi-hop Question Answering under Temporal Knowledge Editing

• Published in: arXiv.org
• Main Authors: Cheng, Keyuan, Lin, Gang, Haoyang Fei, zhai, Yuxuan, Lu, Yu, Ali, Muhammad Asif, Hu, Lijie, Wang, Di
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 30.03.2024
• Subjects: Benchmarks; Datasets; Editing; Large language models; Questions

Multi-hop question answering (MQA) under knowledge editing (KE) has garnered significant attention in the era of large language models. However, existing models for MQA under KE exhibit poor performance when dealing with questions containing explicit temporal contexts. To address this limitation, we...