04:00
2026-08-12
arxiv.org
machine-learning
ReCBM: Uncertainty-Gated Relational Reasoning for Concept Bottleneck Models
Researchers proposed ReCBM, an uncertainty-gated relational reasoning framework for Concept Bottleneck Models (CBMs), to improve robustness under unreliable concept states. ReCBM models co-occurrence,…