@inproceedings{bhandari-brennan-2023-trustworthiness,
    title = "Trustworthiness of Children Stories Generated by Large Language Models",
    author = "Bhandari, Prabin  and
      Brennan, Hannah",
    editor = "Keet, C. Maria  and
      Lee, Hung-Yi  and
      Zarrie{\ss}, Sina",
    booktitle = "Proceedings of the 16th International Natural Language Generation Conference",
    month = sep,
    year = "2023",
    address = "Prague, Czechia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.inlg-main.24/",
    doi = "10.18653/v1/2023.inlg-main.24",
    pages = "352--361",
    abstract = "Large Language Models (LLMs) have shown a tremendous capacity for generating literary text. However, their effectiveness in generating children`s stories has yet to be thoroughly examined. In this study, we evaluate the trustworthiness of children`s stories generated by LLMs using various measures, and we compare and contrast our results with both old and new children`s stories to better assess their significance. Our findings suggest that LLMs still struggle to generate children`s stories at the level of quality and nuance found in actual stories."
}