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PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models

Zetian Ouyang, Linlin Wang, Gerard de Melo, Liang He
Jun 3, 2026 at 04:00
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arXiv:2606.03858v1 Announce Type: new Abstract: Despite the pivotal role of numerical reasoning as the cornerstone of mathematical capabilities in large language models (LLMs) across applications, few benchmarks evaluate LLMs by integrating numerical processing and mathematical reasoning, hindering the interpretability of failures in math tasks....

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