  Generative AI has demonstrated unprecedented creativity in the field of
computer vision, yet such phenomena have not been observed in natural language
processing. In particular, large language models (LLMs) can hardly produce
written works at the level of human experts due to the extremely high
complexity of literature writing. In this paper, we present HoLLMwood, an
automated framework for unleashing the creativity of LLMs and exploring their
potential in screenwriting, which is a highly demanding task. Mimicking the
human creative process, we assign LLMs to different roles involved in the
real-world scenario. In addition to the common practice of treating LLMs as
${Writer}$, we also apply LLMs as ${Editor}$, who is responsible for providing
feedback and revision advice to ${Writer}$. Besides, to enrich the characters
and deepen the plots, we introduce a role-playing mechanism and adopt LLMs as
${Actors}$ that can communicate and interact with each other. Evaluations on
automatically generated screenplays show that HoLLMwood substantially
outperforms strong baselines in terms of coherence, relevance, interestingness
and overall quality.
