  In this paper, we discuss approaches for integrating Computational Creativity
(CC) with research in large language and vision models (LLVMs) to address a key
limitation of these models, i.e., creative problem solving. We present
preliminary experiments showing how CC principles can be applied to address
this limitation through augmented prompting. With this work, we hope to foster
discussions of Computational Creativity in the context of ML algorithms for
creative problem solving in LLVMs. Our code is at:
https://github.com/lnairGT/creative-problem-solving-LLMs
