SubmissionNumber#=%=#74
FinalPaperTitle#=%=#Team jelarson at SemEval 2024 Task 8: Predicting Boundary Line Between Human and Machine Generated Text
ShortPaperTitle#=%=#
NumberOfPages#=%=#8
CopyrightSigned#=%=#Joseph Larson
JobTitle#==#
Organization#==#
Abstract#==#In this paper, we handle the task of building a system that, given a document written first by a human and then finished by an LLM, the system must determine the transition word i.e. where the machine begins to write. We built a system by examining the data for textual anomalies and combining a method of heuristic approaches with a linear regression model based on the text length of each document.
Author{1}{Firstname}#=%=#Joseph E.
Author{1}{Lastname}#=%=#Larson
Author{1}{Username}#=%=#jelarson
Author{1}{Email}#=%=#joelarso@iu.edu
Author{1}{Affiliation}#=%=#Indiana University
Author{2}{Firstname}#=%=#Francis
Author{2}{Lastname}#=%=#Tyers
Author{2}{Email}#=%=#ftyers@indiana.edu
Author{2}{Affiliation}#=%=#Indiana University

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