SubmissionNumber#=%=#247 FinalPaperTitle#=%=#Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text ShortPaperTitle#=%=# NumberOfPages#=%=#7 CopyrightSigned#=%=#Jainit JobTitle#==# Organization#==#IIIT-H | The International Institute of Information Technology - Hyderabad Abstract#==#Large Language Models (LLMs) have showcased impressive abilities in generating fluent responses to diverse user queries. However, concerns regarding the potential misuse of such texts in journalism, educational, and academic contexts have surfaced. SemEval 2024 introduces the task of Multigenerator, Multidomain, and Multilingual Black-Box MachineGenerated Text Detection, aiming to develop automated systems for identifying machinegenerated text and detecting potential misuse. In this paper, we i) propose a RoBERTaBiLSTM based classifier designed to classify text into two categories: AI-generated or human ii) conduct a comparative study of our model with baseline approaches to evaluate its effectiveness. This paper contributes to the advancement of automatic text detection systems in addressing the challenges posed by machinegenerated text misuse. Our architecture ranked 46th on the official leaderboard with an accuracy of 80.83 among 125. Author{1}{Firstname}#=%=#Jainit Sushil Author{1}{Lastname}#=%=#Bafna Author{1}{Username}#=%=#jainit Author{1}{Email}#=%=#jainit.bafna@research.iiit.ac.in Author{1}{Affiliation}#=%=#The International Institute of Information Technology - Hyderabad Author{2}{Firstname}#=%=#Hardik Author{2}{Lastname}#=%=#Mittal Author{2}{Username}#=%=#mhardik003 Author{2}{Email}#=%=#hardik.mittal@research.iiit.ac.in Author{2}{Affiliation}#=%=#International Institute of Information Technology Hyderabad Author{3}{Firstname}#=%=#Suyash Author{3}{Lastname}#=%=#Sethia Author{3}{Username}#=%=#suyash_sethia Author{3}{Email}#=%=#suyash.sethia@research.iiit.ac.in Author{3}{Affiliation}#=%=#The International Institute of Information Technology - Hyderabad Author{4}{Firstname}#=%=#Manish Author{4}{Lastname}#=%=#Shrivastava Author{4}{Username}#=%=#manshri Author{4}{Email}#=%=#m.shrivastava@iiit.ac.in Author{4}{Affiliation}#=%=#International Institute of Information Technology Hyderabad Author{5}{Firstname}#=%=#Radhika Author{5}{Lastname}#=%=#Mamidi Author{5}{Username}#=%=#radhika Author{5}{Email}#=%=#radhika.mamidi@iiit.ac.in Author{5}{Affiliation}#=%=#Language Technologies Research Centre, IIIT Hyderabad ========== èéáğö