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2025 SEMEVAL SemEval 2025

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

Abstract

AbstractThis paper elaborates on my task content regarding Semeval 2025 Task 1 Subtask A. Please refer to it.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Deep Learning and Machine Learning and Natural Language Processing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Yingzhou Zhao , Bowen Guan , Liang Yang , Hongfei Lin

Topics

Machine Learning > Application Areas > Data Augmentation Natural Language Processing > Understanding > Semantic Analysis Natural Language Processing > Resources & Methods > Large Language Models Artificial Intelligence > Core AI > Large Language Models Deep Learning > Learning Types > Multi-Modal Learning

Keywords

data augmentation multimodal learning semantic analysis idiom understanding multimodal data augmentation large language model
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