Overview of the 2024 ALTA shared task: detect automatic AI-generated sentences for human-AI hybrid articles

Diego Mollá; Qiongkai Xu; Zijie Zeng; Zhuang Li

Overview of the 2024 ALTA shared task: detect automatic AI-generated sentences for human-AI hybrid articles

Diego Mollá, Qiongkai Xu, Zijie Zeng, Zhuang Li

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

4 Citations (Scopus)

27 Downloads (Pure)

Abstract

The ALTA shared tasks have been running annually since 2010. In 2024, the purpose of the task is to detect machine-generated text in a hybrid setting where the text may contain portions of human text and portions machine-generated. In this paper, we present the task, the evaluation criteria, and the results of the systems participating in the shared task.

Original language	English
Title of host publication	Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association
Place of Publication	Canberra
Publisher	Australasian Language Technology Association
Pages	197-202
Number of pages	6
Publication status	Published - 2024
Event	Annual Workshop of the Australasian Language Technology Association (22nd : 2024) - Canberra, Australia Duration: 2 Dec 2024 → 4 Dec 2024

Conference

Conference	Annual Workshop of the Australasian Language Technology Association (22nd : 2024)
Abbreviated title	ALTA 2024
Country/Territory	Australia
City	Canberra
Period	2/12/24 → 4/12/24

Bibliographical note

Copyright ACL 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

Artificial intelligence (AI)

Access to Document

Publisher version (open access)Final published version, 202 KBLicence: CC BY

https://aclanthology.org/2024.alta-1.17/Licence: CC BY

Cite this

@inproceedings{02b9d6f4a95d421f8ed8b7db1203167c,

title = "Overview of the 2024 ALTA shared task: detect automatic AI-generated sentences for human-AI hybrid articles",

abstract = "The ALTA shared tasks have been running annually since 2010. In 2024, the purpose of the task is to detect machine-generated text in a hybrid setting where the text may contain portions of human text and portions machine-generated. In this paper, we present the task, the evaluation criteria, and the results of the systems participating in the shared task.",

keywords = "Artificial intelligence (AI)",

author = "Diego Moll{\'a} and Qiongkai Xu and Zijie Zeng and Zhuang Li",

note = "Copyright ACL 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; Annual Workshop of the Australasian Language Technology Association (22nd : 2024), ALTA 2024 ; Conference date: 02-12-2024 Through 04-12-2024",

year = "2024",

language = "English",

pages = "197--202",

booktitle = "Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association",

publisher = "Australasian Language Technology Association",

}

Mollá, D , Xu, Q, Zeng, Z & Li, Z 2024, Overview of the 2024 ALTA shared task: detect automatic AI-generated sentences for human-AI hybrid articles. in Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association. Australasian Language Technology Association, Canberra, pp. 197-202, Annual Workshop of the Australasian Language Technology Association (22nd : 2024), Canberra, Australian Capital Territory, Australia, 2/12/24. <https://aclanthology.org/2024.alta-1.17/>

Overview of the 2024 ALTA shared task: detect automatic AI-generated sentences for human-AI hybrid articles. / Mollá, Diego ; Xu, Qiongkai; Zeng, Zijie et al.
Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association. Canberra: Australasian Language Technology Association, 2024. p. 197-202.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Overview of the 2024 ALTA shared task

T2 - Annual Workshop of the Australasian Language Technology Association (22nd : 2024)

AU - Mollá, Diego

AU - Xu, Qiongkai

AU - Zeng, Zijie

AU - Li, Zhuang

N1 - Copyright ACL 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2024

Y1 - 2024

N2 - The ALTA shared tasks have been running annually since 2010. In 2024, the purpose of the task is to detect machine-generated text in a hybrid setting where the text may contain portions of human text and portions machine-generated. In this paper, we present the task, the evaluation criteria, and the results of the systems participating in the shared task.

AB - The ALTA shared tasks have been running annually since 2010. In 2024, the purpose of the task is to detect machine-generated text in a hybrid setting where the text may contain portions of human text and portions machine-generated. In this paper, we present the task, the evaluation criteria, and the results of the systems participating in the shared task.

KW - Artificial intelligence (AI)

UR - https://www.scopus.com/pages/publications/105003167587

UR - http://www.scopus.com/inward/record.url?scp=105000151170&partnerID=8YFLogxK

M3 - Conference proceeding contribution

AN - SCOPUS:105003167587

SP - 197

EP - 202

BT - Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association

PB - Australasian Language Technology Association

CY - Canberra

Y2 - 2 December 2024 through 4 December 2024

ER -

Overview of the 2024 ALTA shared task: detect automatic AI-generated sentences for human-AI hybrid articles

Abstract

Conference

Bibliographical note

Keywords

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