This repo contains the code for the creative preference optimization (CrPO) framework. Models & Data can be found in HuggingFace.
pip install -r requirements.txt
pip install -e .experiments directory contains scripts to reproduce the SFT, DPO training and evaluation.
@inproceedings{ismayilzada-etal-2025-creative,
title = "Creative Preference Optimization",
author = "Ismayilzada, Mete and
Laverghetta Jr., Antonio and
Luchini, Simone A. and
Patel, Reet and
Bosselut, Antoine and
Plas, Lonneke Van Der and
Beaty, Roger E.",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.findings-emnlp.509/",
doi = "10.18653/v1/2025.findings-emnlp.509",
pages = "9580--9609",
ISBN = "979-8-89176-335-7"
}
