Artificial Intelligence #concept flow#concept-based reasoning
Concept Flow Models Anchor AI Reasoning with Hierarchical Bottlenecks to Reduce Information Leakage
Researchers Wang and Paschke propose Concept Flow Models (CFMs) that replace the flat bottleneck in Concept Bottleneck Models (CBMs) with a hierarchical, concept-driven decision tree. CFMs mitigate information leakage by reducing effective concept usage, matching predictive performance of flat CBMs while providing stepwise decision flows for transparent and auditable model reasoning.
Jun 20, 2026 1 source