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Compositionality is a common property in many modalities including naturallanguages and images, but the compositional generalization of multi-modalmodels is not well-understood. In this paper, we identify two sources ofvisual-linguistic compositionality: linguistic priors and the interplay betweenimages and texts. We show that current attempts to improve compositionalgeneralization rely on linguistic priors rather than on information in theimage. We also propose a new metric for compositionality without suchlinguistic priors.

The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models