@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://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T Trustworthiness of Children Stories Generated by Large Language Models
%A Bhandari, Prabin
%A Brennan, Hannah
%Y Keet, C. Maria
%Y Lee, Hung-Yi
%Y Zarrieß, Sina
%S Proceedings of the 16th International Natural Language Generation Conference
%D 2023
%8 September
%I Association for Computational Linguistics
%C Prague, Czechia
%F bhandari-brennan-2023-trustworthiness
%X 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.
%R 10.18653/v1/2023.inlg-main.24
%U https://aclanthology.org/2023.inlg-main.24
%U https://doi.org/10.18653/v1/2023.inlg-main.24
%P 352-361
Markdown (Informal)
[Trustworthiness of Children Stories Generated by Large Language Models](https://aclanthology.org/2023.inlg-main.24) (Bhandari & Brennan, INLG-SIGDIAL 2023)
ACL