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%0 Conference Proceedings
%T A Comparative Study of Generative Pre-trained Transformer-based Models for Chinese Slogan Generation of Crowdfunding
%A Liang, Yu-Cheng
%A Zheng, Meng-Heng
%A Wu, Jheng-Long
%Y Wu, Jheng-Long
%Y Su, Ming-Hsiang
%S Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)
%D 2023
%8 October
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taipei City, Taiwan
%F liang-etal-2023-comparative
%U https://aclanthology.org/2023.rocling-1.19
%P 162-170

Markdown (Informal)

[A Comparative Study of Generative Pre-trained Transformer-based Models for Chinese Slogan Generation of Crowdfunding](https://aclanthology.org/2023.rocling-1.19) (Liang et al., ROCLING 2023)

• A Comparative Study of Generative Pre-trained Transformer-based Models for Chinese Slogan Generation of Crowdfunding (Liang et al., ROCLING 2023)

ACL

• Yu-Cheng Liang, Meng-Heng Zheng, and Jheng-Long Wu. 2023. A Comparative Study of Generative Pre-trained Transformer-based Models for Chinese Slogan Generation of Crowdfunding. In Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023), pages 162–170, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).