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        <title>Create! Don’t Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation</title>
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    <abstract>We propose Label Creative Generation (LCG), a new paradigm in multi-label data augmentation. Beyond repeating data points with fixed labels, LCG creates new data by exploring innovative label combinations. Within LCG, we introduce Tail-Driven Conditional Augmentation (TDCA), combining tail-driven label sampling and label-conditioned text generation for balanced, consistent data augmentation. Our approach has demonstrated a **100.21%** increase in PSP@1 across three datasets, successfully mitigating the long-tail effect in MLTC and markedly enhancing model performance.</abstract>
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%0 Conference Proceedings
%T Create! Don’t Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation
%A Wang, Letian
%A Liu, Xianggen
%A Lv, Jiancheng
%Y Duh, Kevin
%Y Gomez, Helena
%Y Bethard, Steven
%S Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F wang-etal-2024-create
%X We propose Label Creative Generation (LCG), a new paradigm in multi-label data augmentation. Beyond repeating data points with fixed labels, LCG creates new data by exploring innovative label combinations. Within LCG, we introduce Tail-Driven Conditional Augmentation (TDCA), combining tail-driven label sampling and label-conditioned text generation for balanced, consistent data augmentation. Our approach has demonstrated a **100.21%** increase in PSP@1 across three datasets, successfully mitigating the long-tail effect in MLTC and markedly enhancing model performance.
%U https://aclanthology.org/2024.naacl-long.49
%P 855-869

Markdown (Informal)

[Create! Don’t Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation](https://aclanthology.org/2024.naacl-long.49) (Wang et al., NAACL 2024)

• Create! Don’t Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation (Wang et al., NAACL 2024)

ACL

• Letian Wang, Xianggen Liu, and Jiancheng Lv. 2024. Create! Don’t Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 855–869, Mexico City, Mexico. Association for Computational Linguistics.