Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models Shuo Chen 1,3 Jindong Gu2 Zhen Han 1 Y unpu Ma1,3

V arious adaptation methods, such as LoRA, prompts, and adapters, have been proposed to enhance the performance of pre-trained vision-language models in specific domains.