5 citations · 7 across the 3 of their papers we have counts for
3 papers · 1 filter
Creative Preference Optimization
Mete Ismayilzada, Antonio Laverghetta, Simone A. Luchini +4
While Large Language Models (LLMs) have demonstrated impressive performance across natural language generation tasks, their ability to generate truly creative content-characterized…
How do Humans and Language Models Reason About Creativity? A Comparative Analysis
Antonio Laverghetta, Tuhin Chakrabarty, Tom Hope +3
Creativity assessment in science and engineering is increasingly based on both human and AI judgment, but the cognitive processes and biases behind these evaluations remain poorly…
The creative psychometric item generator: a framework for item generation and validation using large language models
Antonio Laverghetta, Simone Luchini, Averie Linell +2
Increasingly, large language models (LLMs) are being used to automate workplace processes requiring a high degree of creativity. While much prior work has examined the creativity o…