Overview of the 2023 ALTA Shared Task: Discriminate between Human-Written and Machine-Generated Text
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.- Anthology ID:
- 2023.alta-1.17
- Volume:
- Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association
- Month:
- November
- Year:
- 2023
- Address:
- Melbourne, Australia
- Editors:
- Smaranda Muresan, Vivian Chen, Kennington Casey, Vandyke David, Dethlefs Nina, Inoue Koji, Ekstedt Erik, Ultes Stefan
- Venue:
- ALTA
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 148–152
- Language:
- URL:
- https://aclanthology.org/2023.alta-1.17
- DOI:
- Cite (ACL):
- Diego Molla, Haolan Zhan, Xuanli He, and Qiongkai Xu. 2023. Overview of the 2023 ALTA Shared Task: Discriminate between Human-Written and Machine-Generated Text. In Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, pages 148–152, Melbourne, Australia. Association for Computational Linguistics.
- Cite (Informal):
- Overview of the 2023 ALTA Shared Task: Discriminate between Human-Written and Machine-Generated Text (Molla et al., ALTA 2023)
- PDF:
- https://preview.aclanthology.org/naacl-24-ws-corrections/2023.alta-1.17.pdf