Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges

Bosheng Ding, Chengwei Qin, Ruochen Zhao +7

In the rapidly evolving field of large language models (LLMs), data augmentation (DA) has emerged as a pivotal technique for enhancing model performance by diversifying training ex…