AGC-Bench: Measuring Artificial General Creativity
Creativity research has debated whether creativity is domain-specific (e.g., visual, writing, science), and if it is psychometrically separable from general intelligence. Both questions now apply to LLMs, but a unified benchmark of AI creativity remains elusive. We introduce AGC-Bench, an artificial general creativity benchmark built from a systematic review of the AI creativity literature (3,101 papers screened, 497 benchmarks identified), paired with an agentic harness that converts idiosyncratic codebases into HELM-standardized benchmarks. The first release covers 78 datasets spanning brainstorming, problem solving, STEM, narrative, figurative language, and humor. To address bias in LL...
| Authors | Roger Beaty, Vijeta Deshpande, Clin K. Y. Lai et al. |
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| Primary category | cs.CL |
| Published | 1 July 2026 |
| Last updated at source | 2 July 2026 |
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