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StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual Reasoning

StemBind introduces a shared-stem benchmark diagnosing MLLM abstract visual reasoning, finding a persistent rule-to-instance binding gap where models identify patterns but fail to apply them correctly.

Xixiang He, Baiqi Wu, Xingming Li, Ao Cheng and 3 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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AI panel: 17 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 5/5