Prompt to GPT-3: Step-by-Step Thinking Instructions for Humor Generation
It addresses the problem of AI limitations in complex, user-understanding tasks like humor generation for NLP researchers and developers, but is incremental as it builds on existing GPT-3 capabilities.
This paper tackled humor generation with GPT-3 by modeling human comedy writing theory and using step-by-step thinking instructions, achieving improved performance in generating humorous content as measured by human evaluation scores.
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.