Amirzhan Idrissov
Student researcher exploring language models and mathematical reasoning
Astana
I am a school student in Kazakhstan interested in how language models solve mathematical problems, especially in algebra and geometry. My first research paper compared Qwen2.5-Instruct models with 1.5B, 3B and 7B parameters on 287 olympiad problems from Omni-MATH. I examined how performance varies across mathematical domains and difficulty levels, and whether missing diagrams explain geometry errors. Larger models improved much more in algebra than in geometry, and removing problems with missing diagrams did not close the gap. I would like to continue exploring mathematical reasoning, model evaluation and error analysis.
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Where do small open language models break on olympiad mathematics? Domain, difficulty and model size on Omni-MATH - Central Asian Scientific Journal, 2026
2026 - Member submitted0OpenAlex citations unavailable