EVA reports SOTA on MIT-States, UT-Zappos, and C-GQA in closed- and open-world CZSL by combining MoE adapters with semantic variant alignment, but missing backbone-matched baselines weaken the claim.
Prompting language-informed distribution for compositional zero-shot learning
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EVA: Mixture-of-Experts Semantic Variant Alignment for Compositional Zero-Shot Learning
EVA reports SOTA on MIT-States, UT-Zappos, and C-GQA in closed- and open-world CZSL by combining MoE adapters with semantic variant alignment, but missing backbone-matched baselines weaken the claim.