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Paper · arXiv

Can the Parts Fool the Test? Counterfactual Pairing Cycles for Relational OOD

Relational out-of-distribution errors are easy to describe and hard to evaluate cleanly. An image may be natural, a caption may be fluent, and all mentioned objects may be common, yet the caption may describe the wrong relation in the image. Many evaluations intended to test this behavior can be solved without checking the pairing at all, because negatives differ in caption style, template, length, object frequency, or image statistics. We propose counterfactual pairing cycles, a blocked evaluation primitive that reuses the same two images and the same two captions on both sides of the comparison, changing only which image is paired with which caption. This makes image-only, text-only, an...

AuthorsYibo Zhou, Yirong Xiang
Primary categorycs.CV
Published16 October 2026
Last updated at source16 October 2026
cs.CVcs.LG
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