9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CL2025
TARDiS : Text Augmentation for Refining Diversity and Separability
Kyungmin Kim, SangHun Im, GiBaeg Kim +1
Text augmentation (TA) is a critical technique for text classification, especially in few-shot settings. This paper introduces a novel LLM-based TA method, TARDiS, to address chall…
cs.CL2021★ 9 cited
Hierarchical Text Classification As Sub-Hierarchy Sequence Generation
SangHun Im, Gibaeg Kim, Heung-Seon Oh +2
Hierarchical text classification (HTC) is essential for various real applications. However, HTC models are challenging to develop because they often require processing a large volu…