LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis-Reference-Cited by-同舟云学术

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LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis

Published:2023 Issue: Volume: Page:
ISSN:
Container-title:Findings of the Association for Computational Linguistics: EMNLP 2023
language:
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Author:

Dai Shih-Chieh,Xiong Aiping,Ku Lun-Wei

Publisher

Association for Computational Linguistics

Cited by 5 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. Use large language models (LLMs) tools for supporting qualitative research: A phenomenological study of Chinese clinical researchers’ experiences and perceptions (Preprint);2024-07-16

2. Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models;Buildings;2024-01-14

3. Can AI serve as a substitute for human subjects in software engineering research?;Automated Software Engineering;2024-01-11

4. Future Directions in Qualitative Research;Qualitative Research with Socio-Technical Grounded Theory;2024

5. Leveraging large language models for data analysis automation;2023-12-12

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