Divergent Thinking

Divergent thinking, the ability to generate multiple solutions to a problem, is a key aspect of human creativity currently being explored in the context of artificial intelligence. Research focuses on developing methods to enhance divergent thinking capabilities in large language models (LLMs) using techniques like multi-agent debate and reinforcement learning approaches that encourage diverse solution exploration, often framed as a Markovian flow. These advancements aim to improve LLM performance on complex reasoning tasks and provide new tools for assessing and quantifying creativity, both in humans and machines, with implications for fields ranging from creative writing to problem-solving.