AI RESEARCH
DIRCR: Dual-Inference Rule-Contrastive Reasoning for Solving RAVENs
arXiv CS.AI
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ArXi:2604.17584v1 Announce Type: new Abstract visual reasoning remains challenging as existing methods often prioritize either global context or local row-wise relations, failing to integrate both, and lack intermediate feature constraints, leading to incomplete rule capture and entangled representations. To address these issues, we propose the Dual-Inference Rule-Contrastive Reasoning (DIRCR) model.