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Guangzhan Wang

1 accepted papers

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