@inproceedings{da5592efca4a42abb26ebbd9f8edfc6a,
title = "NYCU-NLP at EXALT 2024: Assembling Large Language Models for Cross-Lingual Emotion and Trigger Detection",
abstract = "This study describes the model design of the NYCU-NLP system for the EXALT shared task at the WASSA 2024 workshop. We instruction-tune several large language models and then assemble various model combinations as our main system architecture for cross-lingual emotion and trigger detection in tweets. Experimental results showed that our best performing submission is an assembly of the Starling (7B) and Llama 3 (8B) models. Our submission was ranked sixth of 17 participating systems for the emotion detection subtask, and fifth of 7 systems for the binary trigger detection subtask.",
author = "Lin, {Tzu Mi} and Xu, {Zhe Yu} and Zhou, {Jian Yu} and Lee, {Lung Hao}",
note = "Publisher Copyright: {\textcopyright} 2024 Association for Computational Linguistics.; 14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, WASSA 2024 ; Conference date: 15-08-2024",
year = "2024",
language = "English",
series = "WASSA 2024 - 14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "505--510",
editor = "{De Clercq}, Orphee and Valentin Barriere and Jeremy Barnes and Roman Klinger and Joao Sedoc and Shabnam Tafreshi",
booktitle = "WASSA 2024 - 14th Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media Analysis, Proceedings of the Workshop",
address = "美國",
}