Abstract
Prompt engineering has emerged as a useful way studying the algorithmic tendencies and biases of large language models. Meanwhile creatives and academics have leveraged LLMs to develop creative works and explore the boundaries of their writing capabilities through text generation and code. This study suggests that creative text prompting, specifically Poetry Prompt Patterns, may be a useful addition to the toolbox of the prompt engineer, and outlines the process by which this approach may be taken. Then, the paper uses poetic prompts to assess descriptions and evaluations of three models of a renowned poet and test the consequences of the willingness of models to adapt or rewrite original creative works for presumed audiences.
Abstract (translated)
提示工程已经发展成为研究大型语言模型算法倾向和偏见的一种有效方法。同时，创意人士和学者利用LLM（大语言模型）开发创造性作品，并通过文本生成和编码探索其写作能力的边界。这项研究表明，创意性的提示模式，特别是诗歌提示模式，可能是提示工程师工具箱中的一个有用补充，并概述了采用这种方法的过程。然后，该论文使用诗意的提示来评估对三位著名诗人的描述和评价，并测试模型在为假定受众适应或重写原创创作作品时愿意做出改变的后果。
URL
https://arxiv.org/abs/2512.05243
