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    <abstract>This study describes the design of the NYCU-NLP system for the SemEval-2025 Task 11 that focuses on multi-lingual text-based emotion analysis. We instruction-tuned three small language models: Gemma-2 (27B), Mistral-small-3 (22B), and Phi-4 (14B) and then assembled them as our main system architecture. Our NYCU-NLP system participated the English Track A for multilabel emotion detection and English Track B for emotion intensity prediction. Experimental results show our best-performing submission produced a macro-averaging F1 score of 0.8225, ranking second of 90 participating teams for Track A, and ranked second among 41 teams for Track B with a Pearson correlation coefficient of 0.8373.</abstract>
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%0 Conference Proceedings
%T NYCU-NLP at SemEval-2025 Task 11: Assembling Small Language Models for Multilabel Emotion Detection and Intensity Prediction
%A Xu, Zhe -. Yu
%A Wu, Yu -. Hsin
%A Lee, Lung -. Hao
%Y Rosenthal, Sara
%Y Rosá, Aiala
%Y Ghosh, Debanjan
%Y Zampieri, Marcos
%S Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-273-2
%F xu-etal-2025-nycu
%X This study describes the design of the NYCU-NLP system for the SemEval-2025 Task 11 that focuses on multi-lingual text-based emotion analysis. We instruction-tuned three small language models: Gemma-2 (27B), Mistral-small-3 (22B), and Phi-4 (14B) and then assembled them as our main system architecture. Our NYCU-NLP system participated the English Track A for multilabel emotion detection and English Track B for emotion intensity prediction. Experimental results show our best-performing submission produced a macro-averaging F1 score of 0.8225, ranking second of 90 participating teams for Track A, and ranked second among 41 teams for Track B with a Pearson correlation coefficient of 0.8373.
%U https://aclanthology.org/2025.semeval-1.149/
%P 1129-1135

Markdown (Informal)

[NYCU-NLP at SemEval-2025 Task 11: Assembling Small Language Models for Multilabel Emotion Detection and Intensity Prediction](https://aclanthology.org/2025.semeval-1.149/) (Xu et al., SemEval 2025)

• NYCU-NLP at SemEval-2025 Task 11: Assembling Small Language Models for Multilabel Emotion Detection and Intensity Prediction (Xu et al., SemEval 2025)

ACL

• Zhe - Yu Xu, Yu - Hsin Wu, and Lung - Hao Lee. 2025. NYCU-NLP at SemEval-2025 Task 11: Assembling Small Language Models for Multilabel Emotion Detection and Intensity Prediction. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 1129–1135, Vienna, Austria. Association for Computational Linguistics.