@inproceedings{molla-etal-2023-overview,
title = "Overview of the 2023 {ALTA} Shared Task: Discriminate between Human-Written and Machine-Generated Text",
author = "Molla, Diego and
Zhan, Haolan and
He, Xuanli and
Xu, Qiongkai",
editor = "Muresan, Smaranda and
Chen, Vivian and
Casey, Kennington and
David, Vandyke and
Nina, Dethlefs and
Koji, Inoue and
Erik, Ekstedt and
Stefan, Ultes",
booktitle = "Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association",
month = nov,
year = "2023",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.alta-1.17/",
pages = "148--152",
abstract = "The ALTA shared tasks have been running annually since 2010. In 2023, the purpose of the task is to build automatic detection systems that can discriminate between human-written and synthetic text generated by Large Language Models (LLM). In this paper we present the task, the evaluation criteria, and the results of the systems participating in the shared task."
}
Markdown (Informal)
[Overview of the 2023 ALTA Shared Task: Discriminate between Human-Written and Machine-Generated Text](https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.alta-1.17/) (Molla et al., ALTA 2023)
ACL