Papers by Simone A. Luchini
Creative Preference Optimization (2025.findings-emnlp)
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Mete Ismayilzada, Antonio Laverghetta Jr., Simone A. Luchini, Reet Patel, Antoine Bosselut, Lonneke Van Der Plas, Roger E. Beaty
| Challenge: | Existing methods for enhancing LLM creativity focus on diversity or specific tasks, failing to address creativity’s multifaceted nature in a generalizable way. |
| Approach: | They propose a method that injects signals from multiple creativity dimensions into the preference optimization objective in a modular fashion. |
| Outcome: | The proposed method outperforms baseline models on automated and human evaluations while maintaining high output quality. |