Large Language Models for Imbalanced Classification: Diversity makes the difference

Dang Nguyen, Sunil Gupta, Kien Do +4

Oversampling is one of the most widely used approaches for addressing imbalanced classification. The core idea is to generate additional minority samples to rebalance the dataset.…