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Creative Preference Optimization

framework figure

Paper Project License: MIT

This repo contains the code for the creative preference optimization (CrPO) framework. Models & Data can be found in HuggingFace.

Installation

pip install -r requirements.txt
pip install -e .

Reproducibility

experiments directory contains scripts to reproduce the SFT, DPO training and evaluation.

Citation

@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"
}

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  • Python 79.6%
  • Shell 19.4%
  • Dockerfile 1.0%