A Comprehensive Framework for Efficiently Editing Knowledge in Large Language Models

This paper introduces a comprehensive framework for efficiently editing the knowledge embedded within large language models (LLMs) to correct inaccuracies, update outdated information, and integrate new knowledge without retraining the entire model.