EvoPrompt
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EvoPrompt: Guided Prompt Evolution for Vision-Language Models Adaptation
arXiv:2603.09493v2 Announce Type: replace Abstract: The adaptation of large-scale vision-language models (VLMs) to downstream tasks with limited labeled data remains a significant challenge. While parameter-efficient prompt learning methods offer a promising path, they often suffer from catastrophic forgetting of pre-trained knowledge. Toward addressing this limitation, our work is grounded in the insight that governing the evolutionary path of prompts is essential for forgetting-free...