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Art or Artifice? Large Language Models and the False Promise of Creativity
Feb. 27, 2024, 5:50 a.m. | Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu
cs.CL updates on arXiv.org arxiv.org
Abstract: Researchers have argued that large language models (LLMs) exhibit high-quality writing capabilities from blogs to stories. However, evaluating objectively the creativity of a piece of writing is challenging. Inspired by the Torrance Test of Creative Thinking (TTCT), which measures creativity as a process, we use the Consensual Assessment Technique [3] and propose the Torrance Test of Creative Writing (TTCW) to evaluate creativity as a product. TTCW consists of 14 binary tests organized into the original …
abstract art arxiv blogs capabilities creative creative thinking creativity cs.ai cs.cl cs.hc false language language models large language large language models llms process quality researchers stories test thinking type writing
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