ReCBM: uncertainty-gated relational reasoning for concept bottleneck models
Read the original at arxiv.org→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...
Original headline: "ReCBM: Uncertainty-Gated Relational Reasoning for Concept Bottleneck Models"
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- Aug 12, 04:00 UTC arXiv cs.AI lead source ReCBM: Uncertainty-Gated Relational Reasoning for Concept Bottleneck Models