SubmissionNumber#=%=#175 FinalPaperTitle#=%=#SLPL SHROOM at SemEval2024 Task 06 : A comprehensive study on models ability to detect hallucination ShortPaperTitle#=%=# NumberOfPages#=%=#7 CopyrightSigned#=%=#Pouya Fallah JobTitle#==#Student Organization#==# Abstract#==#Language models, particularly generative models, are susceptible to hallucinations, generating outputs that contradict factual knowledge or the source text. This study explores methods for detecting hallucinations in three SemEval2024 Task 6 tasks: Machine Translation, Definition Modeling, and Paraphrase Generation. We evaluate two methods: semantic similarity between the generated text and factual references, and an ensemble of language models that judge each other's outputs. Our results show that semantic similarity achieves moderate accuracy and correlation scores in trial data, while the ensemble method offers insights into the complexities of hallucination detection but falls short of expectations. This work highlights the challenges of hallucination detection and underscores the need for further research in this critical area. Author{1}{Firstname}#=%=#Pouya Author{1}{Lastname}#=%=#Fallah Author{1}{Username}#=%=#pooya-fallah Author{1}{Email}#=%=#pooya.fallah79@sharif.edu Author{1}{Affiliation}#=%=#Sharif University of Technology Author{2}{Firstname}#=%=#Soroush Author{2}{Lastname}#=%=#Gooran Author{2}{Email}#=%=#gooran@sharif.edu Author{2}{Affiliation}#=%=#Sharif University of Technology Author{3}{Firstname}#=%=#Mohammad Author{3}{Lastname}#=%=#Jafarinasab Author{3}{Email}#=%=#mohammad_jafari_nasab@yahoo.com Author{3}{Affiliation}#=%=#Sharif University of Technology Author{4}{Firstname}#=%=#Pouya Author{4}{Lastname}#=%=#Sadeghi Author{4}{Email}#=%=#pouya.sadeghi@ut.ac.ir Author{4}{Affiliation}#=%=#University of Tehran Author{5}{Firstname}#=%=#Reza Author{5}{Lastname}#=%=#Farnia Author{5}{Email}#=%=#r.farnia0212@sharif.edu Author{5}{Affiliation}#=%=#Sharif University of Technology Author{6}{Firstname}#=%=#Amirreza Author{6}{Lastname}#=%=#Tarabkhah Author{6}{Email}#=%=#tarabkhah2@aut.ac.ir Author{6}{Affiliation}#=%=#Amirkabir University of Technology Author{7}{Firstname}#=%=#Zeinab Sadat Author{7}{Lastname}#=%=#Taghavi Author{7}{Email}#=%=#zeinabtaghavi@sharif.edu Author{7}{Affiliation}#=%=#Sharif University of Technology Author{8}{Firstname}#=%=#Hossein Author{8}{Lastname}#=%=#Sameti Author{8}{Email}#=%=#sameti@sharif.edu Author{8}{Affiliation}#=%=#Sharif University of Technology ========== èéáğö