Divergent creativity in humans and LLMs

A systematic comparison of semantic divergence in state-of-the-art language models and a dataset of 100,000 people. Models can surpass average human performance on the Divergent Association Task and approach human creative writing, while falling short of highly creative people.

Published in Scientific Reports.