Yalei Fu


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2025

pdf bib
FiRC-NLP at SemEval-2025 Task 11: To Prompt or to Fine-Tune? Approaches for Multilingual Emotion Classification
Wondimagegnhue Tufa | Fadi Hassan | Evgenii Migaev | Yalei Fu
Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)

In this paper, we describe our system devel-oped for participation in SemEval-2025 Task11: Bridging the Gap in Text-Based EmotionDetection. We compare three approaches formultilingual, multi-label emotion classification:XLM-R, an ensemble of models (XLM-5), anda prompt-based approach. We evaluate the per-formance of these models across a diverse setof languages, ranging from high-resource tolow-resource languages