This repository aggregates must-read papers on knowledge editing for LLMs, a research area focused on efficiently updating factual knowledge in pre-trained models without full retraining. It includes seminal works like ROME, survey papers, tutorial slides from major conferences (AAAI, IJCAI, COLING 2024), and links to presentation resources covering methods for modifying model behavior post-deployment.