SubmissionNumber#=%=#55
FinalPaperTitle#=%=#NewbieML at SemEval-2024 Task 8: Ensemble Approach for Multidomain Machine-Generated Text Detection
ShortPaperTitle#=%=#
NumberOfPages#=%=#7
CopyrightSigned#=%=#Bao
JobTitle#==#
Organization#==#
Abstract#==#Large Language Models (LLMs) are becoming popular and easily accessible, leading to a large growth of machine-generated content over various channels. Along with this popularity, the potential misuse is also a challenge for us. In this paper, we use SemEval 2024 task A monolingual dataset with comparative study between some machine learning model with feature extraction and develop an ensemble method for our system. Our system achieved 84.31% accuracy score in the test set, ranked 36th of 137 participants. Our code is available at: https://github.com/baoivy/SemEval-Task8
Author{1}{Firstname}#=%=#Bao
Author{1}{Lastname}#=%=#Tran
Author{1}{Username}#=%=#baotran2003
Author{1}{Email}#=%=#bao.tran2003@hcmut.edu.vn
Author{1}{Affiliation}#=%=#Ho Chi Minh City University of Technology, VNU-HCM, Ho Chi Minh City, Vietnam
Author{2}{Firstname}#=%=#Nhi
Author{2}{Lastname}#=%=#Tran
Author{2}{Email}#=%=#nhi.tranluongyen@hcmut.edu.vn
Author{2}{Affiliation}#=%=#Ho Chi Minh City University of Technology, VNU-HCM, Ho Chi Minh City, Vietnam

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