MathAtlas: A Benchmark for Autoformalization in the Wild · DeepSignal
MathAtlas: A Benchmark for Autoformalization in the Wild arXiv cs.AI · Nilay Patel, Noah Arias, Davit Babayan, Victoria Cochran, Timothy Libman, Hafsah Mahmood, Liam McCarty, Soli Munoz, Laurel Willey, Jeffrey Flanigan 2d ago · · · · MathAtlas is a new benchmark for autoformalization in graduate-level mathematics, featuring 52k theorems and a dependency graph.
Key Points First large-scale benchmark for graduate-level mathematics. Includes 52k theorems from 103 textbooks. Challenges state-of-the-art models with low correctness rates. Reader Mode unavailable (could not extract clean content).
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High signal — credible source, broad relevance.
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Source authority 20% 80
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Technical impact 30% 67
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Why Featured
MathAtlas provides a comprehensive benchmark for developers and researchers in AI, enabling improved autoformalization of mathematical theorems, which can enhance automated reasoning systems.