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ReCBM: Uncertainty-Gated Relational Reasoning for Concept Bottleneck Models

Via ArXiv cs.AI
Wednesday, Aug 12, 2026 ยท 4:00AM
Summary

arXiv:2608.10004v1 Announce Type: new Abstract: Concept Bottleneck Models (CBMs) provide an interpretable framework by grounding predictions in human-understandable concepts, enabling semantic inspection and test-time intervention. Recent variants have improved CBMs through richer concept representa

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