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The Science of Detecting LLM-Generated Text

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 25 Mar 2024Embargo end date: 01 Mar 2023 English Publisher:Association for Computing Machinery (ACM)Journal:Communications of the ACM, volume 67, pages 50-59 (issn: 0001-0782, eissn: 1557-7317, Copyright policy )
Authors: Ruixiang Tang; Yu-Neng Chuang; Xia Hu 0001;

doi: 10.1145/3624725 , 10.48550/arxiv.2303.07205

arXiv: 2303.07205

The Science of Detecting LLM-Generated Text

Abstract

While many detection methods have been proposed, understanding the challenges is far more daunting.

Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computation and Language (cs.CL)

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 115
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
115
Top 1%
Top 1%
Top 0.1%
Green