Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study-Reference-Cited by-同舟云学术

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Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Published:2023 Issue: Volume: Page:
ISSN:
Container-title:Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)
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Author:

Chen Yi,Wang Rui,Jiang Haiyun,Shi Shuming,Xu Ruifeng

Publisher

Association for Computational Linguistics

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparing ChatGPT's correction and feedback comments with that of educators in the context of primary students' short essays written in English and Greek;Education and Information Technologies;2024-07-27

2. Evaluating the quality of student-generated content in learnersourcing: A large language model based approach;Education and Information Technologies;2024-07-17

3. Look and Review, Then Tell: Generate More Coherent Paragraphs from Images by Fusing Visual and Textual Information;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Adversarial attacks and defenses for large language models (LLMs): methods, frameworks & challenges;International Journal of Multimedia Information Retrieval;2024-06-25

5. Performance Analysis of Llama 2 Among Other LLMs;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

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