uncertainty-gated-reasoning

ReCBM proposes an uncertainty-gated relational reasoning framework for Concept Bottleneck Models, introducing concept relations like co-occurrence, implication, and exclusion to recover unreliable or missing concept states and improve interpretability and downstream predictions.