Divergent-Convergent Thinking in Large Language Models for Creative Problem Generation

This preprint investigates the ability of Large Language Models (LLMs) to engage in both divergent (idea generation) and convergent (problem formulation) thinking for creative problem generation. It explores how LLMs can be leveraged to assist in innovative design processes and brainstorming, potentially accelerating creativity in various fields.