Cited by 2Topic ModelingNatural Language Processing TechniquesMultimodal Machine Learning Applications

Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models

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Jiang, Jiyue, Truong, Alfred Kar Yin, Chen, Yanyu, Bao, Qinghang, Wang, Sheng, Chen, Pengan, Wang, Jiuming, Kong, Lingpeng +2 more·2025·Findings of the Association for Computational Linguistics: EMNLP 2025

Abstract

Jiyue Jiang, Alfred Kar Yin Truong, Yanyu Chen, Qinghang Bao, Sheng Wang, Pengan Chen, Jiuming Wang, Lingpeng Kong, Yu Li, Chuan Wu. Findings of the Association for Computational Linguistics: EMNLP 2025. 2025.

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Authors
Jiang, J., Truong, A. K. Y., Chen, Y., Bao, Q., Wang, S., Chen, P., Wang, J., Kong, L., Li, Y., & Wu, C.
Affiliations
Chinese University of Hong Kong (HK)
Venue
Findings of the Association for Computational Linguistics: EMNLP 2025
Published
2025
Pages
1924-1944
OpenAlex
W4416036042
Cited by
1
References
0
Citations by year
2025: 1
FWCI
0.95
Type
conference paper
Language
en
Open access
Licence
cc-by
Locations
  • Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion)
Funders
  • Innovation and Technology Commission
  • Innovation and Technology Fund
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
Keywords
Cantonese, multilingual dataset, large-scale corpora, multi-task learning, large language models, Chinese language resources

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