Zhoumou at SemEval-2025 Task 1: Leveraging Multimodal Data Augmentation and Large Language Models for Enhanced Idiom Understanding

Yingzhou Zhao, Bowen Guan, Liang Yang, Hongfei Lin


Abstract
This paper elaborates on my task content regarding Semeval 2025 Task 1 Subtask A. Please refer to it.
Anthology ID:
2025.semeval-1.125
Volume:
Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
Month:
July
Year:
2025
Address:
Vienna, Austria
Editors:
Sara Rosenthal, Aiala Rosá, Debanjan Ghosh, Marcos Zampieri
Venues:
SemEval | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
931–936
Language:
URL:
https://preview.aclanthology.org/transition-to-people-yaml/2025.semeval-1.125/
DOI:
Bibkey:
Cite (ACL):
Yingzhou Zhao, Bowen Guan, Liang Yang, and Hongfei Lin. 2025. Zhoumou at SemEval-2025 Task 1: Leveraging Multimodal Data Augmentation and Large Language Models for Enhanced Idiom Understanding. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 931–936, Vienna, Austria. Association for Computational Linguistics.
Cite (Informal):
Zhoumou at SemEval-2025 Task 1: Leveraging Multimodal Data Augmentation and Large Language Models for Enhanced Idiom Understanding (Zhao et al., SemEval 2025)
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PDF:
https://preview.aclanthology.org/transition-to-people-yaml/2025.semeval-1.125.pdf