End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark:Leveraging Large Language Model Using Integrated Approach

HM Shadman Tabib, Jaber Ahmed Deedar

Abstract: This work introduces systematic approach for enhancing large language models (LLMs) to address Bangla AI mathematical challenges. Through the assessment of diverse LLM configurations, fine-tuning with specific datasets, and the implementation of Retrieval-Augmented Generation (RAG), we enhanced the model’s reasoning precision in a multilingual setting. Crucial discoveries indicate that customized prompting, dataset augmentation, and iterative reasoning improve the model’s efficiency regarding Olympiad-level mathematical challenges.