Author

Y. Luan

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Preprint Aug 2026

AI-AI co-creation outperforms human pairs in creative tasks

Prior research often finds that AI creativity is limited: single systems rarely outperform humans, and human-AI collaboration does not exceed human output. We argue these conclusions underestimate AI's potential because most studies do not allow iterative, multi-agent exchanges that mirror the social processes underpin...

Y. Luan, Luning Sun, YeunJoon Kim et al. · 0 citations

#artificial intelligence Jul 2026

Why Large Language Models and Humans Converge and Diverge in Evaluating Creativity

Despite the growing use of large language models (LLMs) as creativity evaluators, evidence of their alignment with human evaluations remains mixed, raising the question of when and why their judgments converge with or diverge from those of humans. Across three studies and six widely used LLMs, we addressed this gap by...

Pengzhao Lyu, YeunJoon Kim, Hanlin Xiao et al. · arXiv.org · 1 citation