The Power of Personalized Datasets: Advancing Chinese Composition Writing for Elementary School through Targeted Model Fine-Tuning-Reference-Cited by-同舟云学术

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The Power of Personalized Datasets: Advancing Chinese Composition Writing for Elementary School through Targeted Model Fine-Tuning

Published:2024-08-04 Issue: Volume:71 Page:344-349
ISSN:
Container-title:2024 International Conference on Asian Language Processing (IALP)
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Author:

Xie Wenyi¹,Li Jiachen²,Mu Yi³,Zhang Hanyu⁴,Zhao Shiwen⁵,Zheng Xinran⁶

Affiliation:

1. North China University of Technology,Beijing,China

2. Beijing University of Posts and Telecommunications,Beijing,China

3. University of Illinois Urbana-Champaign,Urbana,United State

4. Xi’an Jiaotong-Liverpool University,Suzhou,China

5. University of Ottawa,Ottawa,Canada

6. Dalian University of Technology,Dalian,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10660661/10660673/10661174.pdf?arnumber=10661174

Reference20 articles.

1. ChatGPT for good? On opportunities and challenges of large language models for education

2. Opinebot: Class feedback reimagined using a conversational llm;Tanwar,2024

3. GPT-3-driven pedagogical agents to train children’s curious question-asking skills;Abdelghani;International Journal of Artificial Intelligence in Education,2023

4. Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning

5. Machine learning based feedback on textual student answers in large courses

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