Mitigating Neuro-Symbolic Reasoning Shortcuts with Data-Driven Knowledge Augmentation
A novel method called DKA is presented, which introduces a limited set of concept-supervised data to enhance the knowledge base, effectively solving the reasoning shortcut problem and improving the applicability of the NeSy system.