Mitigating the Effect of Class Imbalance in Data with Hierarchical and Dependable Structure
A Hierarchy-Aware RoBERTa framework that explicitly incorporates CWE structural information through learnable parent-class embeddings, preserving taxonomic consistency is proposed, suggesting that hierarchyaware representation learning is a more principled alternative to oversampling for structured vulnerability classi...