SubmissionNumber#=%=#249 FinalPaperTitle#=%=#KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning ShortPaperTitle#=%=# NumberOfPages#=%=#7 CopyrightSigned#=%=#Weiqi Wang JobTitle#==# Organization#==#The Hong Kong University of Science and Technology HKUST, Hong Kong SAR, China Abstract#==#Lateral thinking is essential in breaking away from conventional thought patterns and finding innovative solutions to problems. Despite this, language models often struggle with reasoning tasks that require lateral thinking. In this paper, we present our system for SemEval-2024 Task 9's BrainTeaser challenge, which requires language models to answer brain teaser questions that typically involve lateral reasoning scenarios. Our framework is based on large language models and incorporates a zero-shot prompting method that integrates conceptualizations of automatically detected instances in the question. We also transform the task of question answering into a declarative format to enhance the discriminatory ability of large language models. Our zero-shot evaluation results with ChatGPT indicate that our approach outperforms baselines, including zero-shot and few-shot prompting and chain-of-thought reasoning. Additionally, our system ranks ninth on the official leaderboard, demonstrating its strong performance. Author{1}{Firstname}#=%=#Weiqi Author{1}{Lastname}#=%=#Wang Author{1}{Username}#=%=#wwangbw Author{1}{Email}#=%=#wwangbw@cse.ust.hk Author{1}{Affiliation}#=%=#Hong Kong University of Science and Technology Author{2}{Firstname}#=%=#Baixuan Author{2}{Lastname}#=%=#Xu Author{2}{Username}#=%=#moonlight12138 Author{2}{Email}#=%=#bxuan@connect.ust.hk Author{2}{Affiliation}#=%=#The Hong Kong University of Science and Technology Author{3}{Firstname}#=%=#Haochen Author{3}{Lastname}#=%=#Shi Author{3}{Username}#=%=#hshiah Author{3}{Email}#=%=#hshiah@connect.ust.hk Author{3}{Affiliation}#=%=#HKUST Author{4}{Firstname}#=%=#Jiaxin Author{4}{Lastname}#=%=#Bai Author{4}{Username}#=%=#marcos0318 Author{4}{Email}#=%=#jbai@connect.ust.hk Author{4}{Affiliation}#=%=#Hong Kong University of Science and Technology Author{5}{Firstname}#=%=#Qi Author{5}{Lastname}#=%=#Hu Author{5}{Username}#=%=#qhuaf Author{5}{Email}#=%=#qhuaf@connnect.ust.hk Author{5}{Affiliation}#=%=#Hong Kong University of Science and Technology Author{6}{Firstname}#=%=#Yangqiu Author{6}{Lastname}#=%=#Song Author{6}{Username}#=%=#yqsong Author{6}{Email}#=%=#yqsong@cse.ust.hk Author{6}{Affiliation}#=%=#HKUST ========== èéáğö