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cs.CL2024★ 1 cited
Curriculum-style Data Augmentation for LLM-based Metaphor Detection
Kaidi Jia, Yanxia Wu, Ming Liu +1
Recently, utilizing large language models (LLMs) for metaphor detection has achieved promising results. However, these methods heavily rely on the capabilities of closed-source LLM…
cs.CL2024
Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented Generation
Suhang Wu, Jialong Tang, Baosong Yang +5
RALMs (Retrieval-Augmented Language Models) broaden their knowledge scope by incorporating external textual resources. However, the multilingual nature of global knowledge necessit…
cs.CL2024
Enhancing Metaphor Detection through Soft Labels and Target Word Prediction
Kaidi Jia, Rongsheng Li
Metaphors play a significant role in our everyday communication, yet detecting them presents a challenge. Traditional methods often struggle with improper application of language r…