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

arXiv cs.CL · 2d ago Cached

This paper investigates when and why LLMs and humans converge or diverge in evaluating creativity, finding that alignment depends on the dimension (stronger for novelty, weaker for context) and that different LLMs apply different standards.

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