Large language models, such as BERT, GPT-3, and T5, while powerful in identifying intricate patterns, pose privacy concerns due to the risk of exposing sensitive user information. A possible solution is machine unlearning, a method that allows for specific data elimination from trained models without the need for thorough retraining. Nevertheless, prevailing unlearning techniques designed…
