When and why vision-language models behave like bags-of-words, and what to do about it?. (arXiv:2210.01936v2 [cs.CV] UPDATED)

Despite the success of large vision and language models (VLMs) in many
downstream applications, it is unclear how well they encode compositional
information. Here, we create the Attribution, Relation, and Order (ARO)
benchmark to systematically evaluate the ability of VLMs to understand
different types of relationships, attributes, and order. ARO consists of Visual
Genome Attribution, to test the understanding of objects' properties; Visual
Genome Relation, to test for relational understanding; and COCO &
Flickr30k-Order, to test for order sensitivity. ARO …

arxiv language language models vision words