This work makes the first attempt to build a medalist-level LLM agent for geometry and presents InternGeometry, which solves 44 of 50 IMO geometry problems (2000-2024), exceeding the average gold medalist score, using only 13K training examples, just 0.004% of the data used by AlphaGeometry 2.
Hai-Teng Zhao, Junhao Shen, Yiming Zhang et al.
· 7 citations
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Jul 2026
This paper conducts a systematic study of unsupervised visual pretraining paradigms that directly leverage visual documents without text extraction, showing that Visual Pretraining is a scalable learner for foundation model intelligence.
Yiming Zhang, Zhonghan Zhao, Wenwei Zhang et al.
· arXiv.org · 2 citations
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Large language models (LLMs) have achieved remarkable performance on high-school and olympiad-style mathematics, yet their capabilities on advanced mathematics remain poorly understood. Existing benchmarks, however, fall short in both scope and evaluation granularity: they provide limited disciplinary coverage and ofte...
Lingkai Kong, Zijian Wu, Yuzhe Gu et al.
· arXiv.org · 0 citations
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