GenFT: A Generative Parameter-Efficient Fine-Tuning Method for Pretrained Foundation Models

Guangning Xu, Baoquan Zhang, Michael. K. Ng

Parameter-efficient fine-tuning (PEFT) has emerged as a resource-efficient strategy for adapting Pretrained Foundation Models (PFMs) by learning a small number of task-specific upd…