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Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated raters

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Haim, Edith, Fischer, Natalie, Citraro, Salvatore, Rossetti, Giulio, Stella, Massimo
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Computation and Language Machine Learning
Accesso online:	Acceder al recurso
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