  Thanks to their generative capabilities, large language models (LLMs) have
become an invaluable tool for creative processes. These models have the
capacity to produce hundreds and thousands of visual and textual outputs,
offering abundant inspiration for creative endeavors. But are we harnessing
their full potential? We argue that current interaction paradigms fall short,
guiding users towards rapid convergence on a limited set of ideas, rather than
empowering them to explore the vast latent design space in generative models.
To address this limitation, we propose a framework that facilitates the
structured generation of design space in which users can seamlessly explore,
evaluate, and synthesize a multitude of responses. We demonstrate the
feasibility and usefulness of this framework through the design and development
of an interactive system, Luminate, and a user study with 14 professional
writers. Our work advances how we interact with LLMs for creative tasks,
introducing a way to harness the creative potential of LLMs.
