Consecutive batch model editing with HooK layers

• Main Authors: LI, Shuaiyi, DENG, Yang, CAI, Deng, LU, Hongyuan, CHEN, Liang, LAM, Wai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Retraining paradigm; Model editing; Sequential and batch editing; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/9679; https://ink.library.smu.edu.sg/context/sis_research/article/10679/viewcontent/2024.emnlp_main.765.pdf
• Institution: Singapore Management University

As the typical retraining paradigm is unacceptably time- and resource-consuming, researchers are turning to model editing to find an effective way that supports both consecutive and batch scenarios to edit the model behavior directly. Despite all these practical expectations, existing model editing...