April 23, 2024, 7:11 p.m. | /u/SeawaterFlows

Machine Learning www.reddit.com

**Paper**: [https://arxiv.org/abs/2404.06405](https://arxiv.org/abs/2404.06405)

**Code**: [https://huggingface.co/datasets/bethgelab/simplegeometry](https://huggingface.co/datasets/bethgelab/simplegeometry)

**Abstract**:

>Proving geometric theorems constitutes a hallmark of visual reasoning combining both intuitive and logical skills. Therefore, automated theorem proving of Olympiad-level geometry problems is considered a notable milestone in human-level automated reasoning. The introduction of AlphaGeometry, a neuro-symbolic model trained with 100 million synthetic samples, marked a major breakthrough. It solved 25 of 30 International Mathematical Olympiad (IMO) problems whereas the reported baseline based on Wu's method solved only ten. In this note, we revisit …

abstract alphageometry automated geometry geometry problems hallmark human international introduction machinelearning major neuro olympiad reasoning samples skills synthetic theorem visual

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