arXiv AI By Livia Oddi, Simone Scardapane, Toru Sugimoto, Donatella Genovese

Authorship attribution and aesthetic evaluation of AI poetry: a case study with Haiku

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arXiv AI
1d ago

Beyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat?

arXiv:2609. 28245v1 Announce Type: cross Abstract: Large language models (LLMs) have shown strong performance in creative text generation, yet their ability to produce culturally grounded and stylistically constrained literary forms remains underexplored.

By AbdulRahman A. Morsy (Department of Computer Science, School of Engineering and Applied Sciences, George Washington University, Washington DC, United States), Aya Zirikly (Department of Computer Science, School of Engineering and Applied Sciences, George Washington University, Washington DC, United States, Center for Speech and Language Processing, Whiting School of Engineering, Johns Hopkins University, Baltimore MD, United States)
arXiv AI
Aug 26

The Limits of Automatic Evaluation of Creativity in Large Language Models

The paper examines whether existing automatic methods can reliably assess creativity in text produced by large language models (LLMs). By collecting human ratings on 11 creativity dimensions for both human and AI short stories, the authors compare these judgments with automated metrics and LLM-as-a-Judge evaluations. The results show a significant misalignment: automated metrics and LLM judges favor AI-generated stories and show near-zero correlation with human assessments, revealing fundamental limitations in current computational approaches to evaluating creative text.

By Alessandro Tutone, Giorgio Franceschelli, Mirco Musolesi