Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages

Author:

Cox Samuel Rhys1ORCID,Abdul Ashraf2ORCID,Ooi Wei Tsang3ORCID

Affiliation:

1. School of Computing, National University of Singapore, Singapore

2. Unaffiliated, Singapore

3. Computer Science, National University of Singapore, Singapore

Funder

National Research Foundation, Prime Minister?s Office, Singapore

Publisher

ACM

Reference29 articles.

1. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data

2. Language Models are Few-Shot Learners;Brown Tom;Advances in Neural Information Processing Systems,2020

3. Shan Chen , Benjamin  H Kann , Michael  B Foote , Hugo  JWL Aerts , Guergana  K Savova , Raymond  H Mak , and Danielle  S Bitterman . 2023. The utility of ChatGPT for cancer treatment information. medRxiv ( 2023 ), 2023–03. https://www.medrxiv.org/content/10.1101/2023.03.16.23287316v1 Shan Chen, Benjamin H Kann, Michael B Foote, Hugo JWL Aerts, Guergana K Savova, Raymond H Mak, and Danielle S Bitterman. 2023. The utility of ChatGPT for cancer treatment information. medRxiv (2023), 2023–03. https://www.medrxiv.org/content/10.1101/2023.03.16.23287316v1

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