AILGMay 2, 2024

Creative Problem Solving in Large Language and Vision Models -- What Would it Take?

arXiv:2405.01453v35 citationsh-index: 28Has CodeEMNLP
Originality Synthesis-oriented
AI Analysis

This work addresses a key limitation in AI models for researchers and developers, but it appears incremental as it builds on existing Computational Creativity ideas.

The paper tackles the limitation of creative problem solving in large language and vision models by advocating for integration with Computational Creativity principles, presenting preliminary experiments to address this issue.

We advocate for a strong integration of 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. Our goal is to foster discussions on creative problem solving in LLVMs and CC at prestigious ML venues. Our code is available at: https://github.com/lnairGT/creative-problem-solving-LLMs

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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