@inproceedings{nair-etal-2024-creative,
    title = "Creative Problem Solving in Large Language and Vision Models - What Would it Take?",
    author = "Nair, Lakshmi  and
      Gizzi, Evana  and
      Sinapov, Jivko",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2024.findings-emnlp.700/",
    doi = "10.18653/v1/2024.findings-emnlp.700",
    pages = "11978--11994",
    abstract = "We advocate for a strong integration of Computational Creativity (CC) with research in large language and vision models (LLVMs) to address a key limitation of these models, i.e., creative problem solving. We present preliminary experiments showing how CC principles can be applied to address this limitation. Our goal is to foster discussions on creative problem solving in LLVMs and CC at prestigious ML venues."
}