Authorship attribution and aesthetic evaluation of AI poetry: a case study with Haiku
This paper investigates the generation and human evaluation of Japanese haiku by contemporary Large Language Models (LLMs), focusing on authorship perception and aesthetic judgment within a constrained poetic form. Using a few-shot prompting strategy, Japanese haiku were generated across a heterogeneous set of large la...
Livia Oddi, Simone Scardapane, Toru Sugimoto et al.
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