AlignFace is proposed, an interpretable, human-aligned, face similarity metric that encodes these cognitive principles through ante-hoc modeling and significantly improves alignment with human subpopulation perceptions compared to baseline metrics, including recent domain-free learned perceptual metrics.
Ying Huang, Wen-Can Zhang, Brian Y. Lim· 0 citations
Results show that probing accuracy is a poor heuristic for selecting intervention layers and suggest a cross-architecture mid-to-late selection criterion, and identify a cross-modal emotion subspace organized by valence and arousal.
Yi-Bo Wang, Ji-Sheng Dang, Bi-Mei Wang et al.· 1 citation· ⚡1
The multi-view text-guided multimodal fusion adapter (MVFA) is proposed, a parameter-efficient framework that augments frozen LLMs with strong multimodal reasoning capability and achieves state-of-the-art performance on key metrics while updating only a small fraction of parameters.
Peng-Fei Shao, Ji-Sheng Dang, Jia-Wen Fang et al.· 0 citations
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