1 INTRODUCTION  
2 BACKGROUND  
2.1 Editing of Machine Learning Models  
2.2 Large Language Models  
3 PROBLEM FORMULATION  
4 EVALUATION METRICS  
5 METHODOLOGIES  
6 DATASETS  
7 APPLICATIONS  
8 DISCUSSION  
9 CONCLUSIONS