  This paper describes our approach for SemEval-2024 Task 9: BRAINTEASER: A
Novel Task Defying Common Sense. The BRAINTEASER task comprises multiple-choice
Question Answering designed to evaluate the models' lateral thinking
capabilities. It consists of Sentence Puzzle and Word Puzzle subtasks that
require models to defy default common-sense associations and exhibit
unconventional thinking. We propose a unique strategy to improve the
performance of pre-trained language models, notably the Gemini 1.0 Pro Model,
in both subtasks. We employ static and dynamic few-shot prompting techniques
and introduce a model-generated reasoning strategy that utilizes the LLM's
reasoning capabilities to improve performance. Our approach demonstrated
significant improvements, showing that it performed better than the baseline
models by a considerable margin but fell short of performing as well as the
human annotators, thus highlighting the efficacy of the proposed strategies.
