Fluid Transformers and Creative Analogies: Exploring Large Language Models’ Capacity for Augmenting Cross-Domain Analogical Creativity-Reference-Cited by-同舟云学术

Fluid Transformers and Creative Analogies: Exploring Large Language Models’ Capacity for Augmenting Cross-Domain Analogical Creativity

Published:2023-06-19 Issue: Volume: Page:
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Container-title:Creativity and Cognition
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Author:

Ding Zijian¹^ORCID,Srinivasan Arvind²^ORCID,Macneil Stephen³^ORCID,Chan Joel¹^ORCID

Affiliation:

1. College of Information Studies, University of Maryland, United States

2. College of Information Studies, University of Maryland, College Park, United States

3. Computer and Information Sciences, Temple University, United States

Publisher

ACM

Reference99 articles.

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2. On the Dangers of Stochastic Parrots

3. Shlomo Berkovsky , Yoshinori Hijikata , Jun Rekimoto , Margaret Burnett , Mark Billinghurst , and Aaron Quigley . 2018 . How Novelists Use Generative Language Models: An Exploratory User Study. In 23rd International Conference on Intelligent User Interfaces. ACM, Tokyo Japan. Shlomo Berkovsky, Yoshinori Hijikata, Jun Rekimoto, Margaret Burnett, Mark Billinghurst, and Aaron Quigley. 2018. How Novelists Use Generative Language Models: An Exploratory User Study. In 23rd International Conference on Intelligent User Interfaces. ACM, Tokyo Japan.

4. S. Bhatta , A. Goel , and S. Prabhakar . 1994 . Innovation in Analogical Design: A Model-Based Approach. In Artificial Intelligence in Design ’94, John S . Gero and Fay Sudweeks (Eds.). Springer Netherlands , Dordrecht, 57–74. https://doi.org/10.1007/978-94-011-0928-4_4 00000. 10.1007/978-94-011-0928-4_4 S. Bhatta, A. Goel, and S. Prabhakar. 1994. Innovation in Analogical Design: A Model-Based Approach. In Artificial Intelligence in Design ’94, John S. Gero and Fay Sudweeks (Eds.). Springer Netherlands, Dordrecht, 57–74. https://doi.org/10.1007/978-94-011-0928-4_4 00000.

5. Bhavya Bhavya Jinjun Xiong and Chengxiang Zhai. 2022. Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT. http://arxiv.org/abs/2210.04186 arXiv:2210.04186 [cs]. Bhavya Bhavya Jinjun Xiong and Chengxiang Zhai. 2022. Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT. http://arxiv.org/abs/2210.04186 arXiv:2210.04186 [cs].

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