Author

Da-Hua Lin

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#artificial intelligence Preprint Dec 2025

Achieving Olympiad-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning

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 · ⚡1

Review Aug 2026

Intern-S2-Preview: Scientific Agentic Foundation Model

Evaluations across scientific, multimodal, agentic, and general-purpose benchmarks show that Intern-S2-Preview-397B achieves competitive or leading results in multiple settings.

Lei Bai, Jiaqi Cao, Chiyu Chen et al. · 3 citations