“FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI” by Tamay
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** FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI** FrontierMath presents hundreds of unpublished, expert-level mathematics problems that specialists spend days solving. It offers an ongoing measure of AI complex mathematical reasoning progress.

We’re introducing FrontierMath, a benchmark of hundreds of original, expert-crafted mathematics problems designed to evaluate advanced reasoning capabilities in AI systems. These problems span major branches of modern mathematics—from computational number theory to abstract algebraic geometry—and typically require hours or days for expert mathematicians to solve. To understand and measure progress in artificial intelligence, we need carefully designed benchmarks that can assess how well AI systems engage in complex scientific reasoning. Mathematics offers a unique opportunity for this assessment—it requires extended chains of precise reasoning, with each step building exactly on what came before. And, unlike many domains where evaluation requires subjective judgment or expensive tests, mathematical problems can be rigorously and automatically verified.

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Outline:

(00:07) FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI

(01:29) The FrontierMath Benchmark

(04:20) Current Performance on FrontierMath

(05:21) Our next steps

(06:36) Conclusion

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First published: November 14th, 2024

Source: https://www.lesswrong.com/posts/DyfxopcHPR2T8S73g/frontiermath-a-benchmark-for-evaluating-advanced)

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