SubmissionNumber#=%=#189
FinalPaperTitle#=%=#Deja Vu at SemEval 2024 Task 9: A Comparative Study of Advanced Language Models for Commonsense Reasoning
ShortPaperTitle#=%=#
NumberOfPages#=%=#6
CopyrightSigned#=%=#Trina Chakraborty
JobTitle#==#
Organization#==#
Abstract#==#This research systematically forms an impression of the capabilities of advanced language models in addressing the BRAINTEASER task introduced at SemEval 2024, which is specifically designed to explore the models' proficiency in lateral commonsense reasoning. The task sets forth an array of Sentence and Word Puzzles, carefully crafted to challenge the models with scenarios requiring unconventional thought processes. Our methodology encompasses a holistic approach, incorporating pre-processing of data, fine-tuning of transformer-based language models, and strategic data augmentation to explore the depth and flexibility of each model's understanding. The preliminary results of our analysis are encouraging, highlighting significant potential for advancements in the models' ability to engage in lateral reasoning. Further insights gained from post-competition evaluations suggest scopes for notable enhancements in model performance, emphasizing the continuous evolution of the models in mastering complex reasoning tasks.
Author{1}{Firstname}#=%=#Trina
Author{1}{Lastname}#=%=#Chakraborty
Author{1}{Username}#=%=#trina_chakraborty
Author{1}{Email}#=%=#trina41@student.sust.edu
Author{1}{Affiliation}#=%=#Shahjalal University of Science and Technology
Author{2}{Firstname}#=%=#Marufur
Author{2}{Lastname}#=%=#Rahman
Author{2}{Username}#=%=#shovon701
Author{2}{Email}#=%=#marufurr701@gmail.com
Author{2}{Affiliation}#=%=#Shahjalal University of Science and Technology
Author{3}{Firstname}#=%=#Md Omar
Author{3}{Lastname}#=%=#Faruqe
Author{3}{Username}#=%=#riyadomf
Author{3}{Email}#=%=#riyad.omf@gmail.com
Author{3}{Affiliation}#=%=#Shahjalal University of Science and Technology

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