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

arXiv 2501.04425 ↗First posted 8 Jan 2025cs.CLcited by 0

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Abstract (arXiv)

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.

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References · 15

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Modelscited by 8,851
  3. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,601
  4. 2024Qwen2.5 Technical Reportcited by 4,713
  5. 2024OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problemscited by 1,099
  6. 2023MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Modelscited by 724
  7. 2024Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Modelscited by 277
  8. 2023ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solvingcited by 276
  9. 2023Multilingual Machine Translation with Large Language Models: Empirical Results and Analysiscited by 156
  10. 2024Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8Bcited by 156
  11. 2024MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Datacited by 51
  12. 2024ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipelinecited by 47
3 more
  1. 2024BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Searchcited by 13
  2. 2024ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Modelscited by 10
  3. 2024Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Modelscited by 8

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  1. 2026GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models
  2. 2024Qwen2.5-32B: Leveraging Self-Consistent Tool-Integrated Reasoning for Bengali Mathematical Olympiad Problem Solving
  3. 2026Large Language Models for Math Education in Low-Resource Languages: A Study in Sinhala and Tamil
  4. 2024Benchmarking Large Language Models for Math Reasoning Tasks
  5. 2024MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning
  6. 2025AMO-Bench: Large Language Models Still Struggle in High School Math Competitions
  7. 2024Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English
  8. 2025Leveraging Large Language Models for Bengali Math Word Problem Solving with Chain of Thought Reasoning