This paper studies whether a machine learning model can be effectively trained to accurately distinguish between original human and seemingly human text, especially when this text is short.
%0 Journal Article
%1 Mitrovi'c2023ChatGPTOH
%A Mitrovi'c, Sandra
%A Andreoletti, Davide
%A Ayoub, Omran
%D 2023
%J ArXiv
%K machine-learning chatgpt text-detection posted_with_chatgpt
%T ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text
@article{Mitrovi'c2023ChatGPTOH,
added-at = {2023-07-26T10:06:06.000+0200},
author = {Mitrovi'c, Sandra and Andreoletti, Davide and Ayoub, Omran},
biburl = {https://www.bibsonomy.org/bibtex/2687acb75e0c21f0ffff3a6110ead67bc/dblp_test},
description = {This paper studies whether a machine learning model can be effectively trained to accurately distinguish between original human and seemingly human text, especially when this text is short.},
interhash = {a1f998d1323e3d1e8dfd65ec986a9cf8},
intrahash = {687acb75e0c21f0ffff3a6110ead67bc},
journal = {ArXiv},
keywords = {machine-learning chatgpt text-detection posted_with_chatgpt},
timestamp = {2024-04-29T15:49:15.000+0200},
title = {ChatGPT or Human? Detect and Explain. Explaining Decisions of Machine Learning Model for Detecting Short ChatGPT-generated Text},
year = 2023
}