BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense

• URL: http://arxiv.org/abs/2406.04947v1
• Date: Fri, 7 Jun 2024 14:01:56 GMT
• Title: BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense
• Authors: Baktash Ansari, Mohammadmostafa Rostamkhani, Sauleh Eetemadi,
• Abstract summary: This paper outlines our approach to SemEval 2024 Task 9, BRAINTEASER: A Novel Task Defying Common Sense. The dataset comprises multi-choice questions that challenge models to think "outside of the box" Our best method achieves an overall accuracy of 85 percent on the sentence puzzles subtask.
• Score: 0.04096453902709291
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper outlines our approach to SemEval 2024 Task 9, BRAINTEASER: A Novel Task Defying Common Sense. The task aims to evaluate the ability of language models to think creatively. The dataset comprises multi-choice questions that challenge models to think "outside of the box". We fine-tune 2 models, BERT and RoBERTa Large. Next, we employ a Chain of Thought (CoT) zero-shot prompting approach with 6 large language models, such as GPT-3.5, Mixtral, and Llama2. Finally, we utilize ReConcile, a technique that employs a "round table conference" approach with multiple agents for zero-shot learning, to generate consensus answers among 3 selected language models. Our best method achieves an overall accuracy of 85 percent on the sentence puzzles subtask.

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