ReGap-Bench Evaluates Visual Reference Gaps in MLLMs
October 29, 2026
Multimodal LLMs often fail to bind language to specific visual entities despite correct perception. Using ReGap-Bench, task-matched visual references improve reasoning accuracy by up to 25%.
HOW THIS AFFECTS YOU
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builderAdding visual scaffolds like numbering can significantly boost your model's reasoning accuracy.
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researcherThis identifies the reference gap as a distinct failure mode from pure perception.