Artificial intelligence has made significant progress in natural language processing, with models like GPT-3 demonstrating impressive capabilities. However, these models still have limitations when it comes to complex tasks that require an understanding of the user, such as mastering human comedy writing strategies. This paper explores humor generation using GPT-3 by modeling human comedy writing theory and leveraging step-by-step thinking instructions. In addition, we explore the role of cognitive distance in creating humor.

翻译：人工智能在自然语言处理领域取得了重大进展，像GPT-3这样的模型展现了令人印象深刻的能力。然而，这些模型在处理需要理解用户意图的复杂任务（例如掌握人类喜剧写作策略）时仍存在局限。本文通过模拟人类喜剧写作理论并利用逐步思考指令，探索了使用GPT-3生成幽默的方法。此外，我们还研究了认知距离在幽默创作中的作用。