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%0 Conference Proceedings
%T Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study
%A Chen, Yi
%A Wang, Rui
%A Jiang, Haiyun
%A Shi, Shuming
%A Xu, Ruifeng
%Y Park, Jong C.
%Y Arase, Yuki
%Y Hu, Baotian
%Y Lu, Wei
%Y Wijaya, Derry
%Y Purwarianti, Ayu
%Y Krisnadhi, Adila Alfa
%S Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
%D 2023
%8 November
%I Association for Computational Linguistics
%C Nusa Dua, Bali
%F chen-etal-2023-exploring-use
%R 10.18653/v1/2023.findings-ijcnlp.32
%U https://aclanthology.org/2023.findings-ijcnlp.32
%U https://doi.org/10.18653/v1/2023.findings-ijcnlp.32
%P 361-374

Markdown (Informal)

[Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study](https://aclanthology.org/2023.findings-ijcnlp.32) (Chen et al., Findings 2023)

• Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study (Chen et al., Findings 2023)

ACL

• Yi Chen, Rui Wang, Haiyun Jiang, Shuming Shi, and Ruifeng Xu. 2023. Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study. In Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings), pages 361–374, Nusa Dua, Bali. Association for Computational Linguistics.