Class‐Imbalance‐Aware Adaptive Dataset Distillation for Scalable Pretrained Model in Credit Scoring
A novel framework that combines a tabular‐tailored dataset distillation technique with a pretrained model is proposed, thereby improving the scalability of TabPFN and demonstrating that imbalance‐aware dataset distillation provides a compact yet accurate solution for imbalanced credit scoring.