Conference
Open access
Sep 2026
CoDA: Co-adaptive Dual-path Alignment for Vision-Language Models
In CoDA, a new adaptation framework that explicitly disentangles and coordinates cross-modal semantic alignment and intra-modal structural consistency is proposed, and it is shown that CoDA outperforms state-of-the-art parameter-efficient methods, particularly under few-shot learning and distribution-shift scenarios.
Yi Zhang, Rui Zhu, Chan-Ni Li et al.
· Proceedings of the Thirty-Fi... · 0 citations