MAIL++: Multi-Modal Bi-directional Agent Layer for Vision-Language Models 事件

MAIL++: Multi-Modal Bi-directional Agent Layer for Vision-Language Models arXiv:2605.25479v1 Announce Type: new Abstract: Adapting large vision-language models (VLMs) such as CLIP to downstream tasks remains challenging, as full fine-tuning is computationally prohibitive and prone to overfitting in low-data regimes. Parameter-efficient fine-tuning (PEFT) alleviates these issues with lightweight prompt- or adapter-based modules, and cross-modal coupling has proven especially effective by strengt