AI is Misled by GenAI: Stylistic Bias in Automated Assessment of Creativity in Large Language Models

Abstract excerpt

<p>Outputs from large language models (LLMs) are often rated as highly original yet show low variability compared to human responses, a pattern we refer to as the LLM creativity paradox. Yet, prior work suggests that assessments of originality and variability may reflect stylistic features of LLM outputs rather than underlying conceptual novelty. The goal of the present study was to investigate this issueusing out...

Topics

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• Artificial Intelligence
• Communication
• Intelligence
• Language
• Phenotype

Identifiers and source

Literature Corpus work

279bbb0a-66f9-5597-9bbf-3129b48b2b1d

DOI

10.31234/osf.io/p6dyu_v1