SubmissionNumber#=%=#32
FinalPaperTitle#=%=#Abdelhak at SemEval-2024 Task 9 : Decoding Brainteasers, The Efficacy of Dedicated Models Versus ChatGPT
ShortPaperTitle#=%=#
NumberOfPages#=%=#6
CopyrightSigned#=%=#abdelhak kelious
JobTitle#==#
Organization#==#
Abstract#==#This study introduces a dedicated model aimed at solving the BRAINTEASER task 9 , a novel challenge designed to assess models' lateral thinking capabilities through sentence and word puzzles. Our model demonstrates remarkable efficacy, securing Rank 1 in sentence puzzle solving during the test phase with an overall score of 0.98. Additionally, we explore the comparative performance of ChatGPT, specifically analyzing how variations in temperature settings affect its ability to engage in lateral thinking and problem-solving. Our findings indicate a notable performance disparity between the dedicated model and ChatGPT, underscoring the potential of specialized approaches in enhancing creative reasoning in AI.
Author{1}{Firstname}#=%=#Abdelhak
Author{1}{Lastname}#=%=#Kelious
Author{1}{Username}#=%=#kelious
Author{1}{Email}#=%=#keliousabdelhak@gmail.com
Author{1}{Affiliation}#=%=#Phd student / CNRS
Author{2}{Firstname}#=%=#Mounir
Author{2}{Lastname}#=%=#Okirim
Author{2}{Email}#=%=#mounirokirim@gmail.com
Author{2}{Affiliation}#=%=#ESIEA, Graduate School of Engineering

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