AI RESEARCH
MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval
arXiv CS.LG
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ArXi:2604.18584v1 Announce Type: cross Mathematical problem solving remains a challenging test of reasoning for large language and multimodal models, yet existing benchmarks are limited in size, language coverage, and task diversity. We MathNet s three tasks: (i) Problem Solving, (ii) Math-Aware Retrieval, and (iii) Retrieval-Augmented Problem Solving. Experimental results show that even state-of-the-art reasoning models (78.4% for Gemini-3.1-Pro and 69.3% for GPT-5) remain challenged, while embedding models struggle to retrieve equivalent problems.