Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification

Aleksandra Edwards, Asahi Ushio, Jose Camacho-Collados +2

Data augmentation techniques are widely used for enhancing the performance of machine learning models by tackling class imbalance issues and data sparsity. State-of-the-art generat…