2025
Transplant Then Regenerate: A New Paradigm for Text Data Augmentation
EMNLP 2025
Data augmentation is a critical technique in deep learning. Traditional methods like Back-translation typically focus on lexical-level rephrasing, which primarily produces variations with the same semantics. While large language models (LLMs) have enhanced text augmentation by their “knowledge emerg