Study examines authorship perception and aesthetic judgment of LLM-generated haiku
A new arXiv paper studies how people perceive the authorship of Japanese haiku written by contemporary large language models, and how they judge the poems aesthetically. The researchers used few-shot prompting to generate the haiku and then collected human evaluations of the results. The work focuses on authorship attribution and aesthetic assessment within the tight constraints of the haiku form.