2026
DEALT: LLM-driven Diversity-Enhanced Data Augmentation for Long-Tail Text Classification
AAAI 2026technical
Real-world text classification datasets frequently exhibit long-tail distributions, where numerous classes have sparse data, significantly degrading model performance on these underrepresented categories. While Large Language Models (LLMs) offer promise for data augmentation, existing methods often