This paper assesses the potential for large language models (LLMs) to serve
as assistive tools in the creative writing process, by means of a single,
in-depth case study. In the course of the study, we develop interactive and
multi-voice prompting strategies that interleave background descriptions (scene
setting, plot elements), instructions that guide composition, samples of text
in the target style, and critical discussion of the given samples. We
qualitatively evaluate the results from a literary critical perspective, as
well as from the standpoint of computational creativity (a sub-field of
artificial intelligence). Our findings lend support to the view that the
sophistication of the results that can be achieved with an LLM mirrors the
sophistication of the prompting.

该研究通过一个深入的案例研究，评估了大型语言模型在创意写作过程中作为辅助工具的潜力。研究中开发了交互式多声音提示策略，交织了背景描述、指导写作的指令、目标风格的文本示例和给定示例的关键讨论，并从文学批评的角度以及计算创造力的角度进行了定性评估。研究结果支持大型语言模型能够实现高级提示的观点。