Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics Learning
Lixin Wu, Na Cai, Qiao Cheng, Jiachen Wang, Yitao Duan
2025-06-30
Summary
This paper talks about Confucius3-Math, a large language model with 14 billion parameters that is designed to be very good at solving math problems, especially for Chinese K-12 students.
What's the problem?
Many AI models that try to help students with math are either too large and slow or not accurate enough when solving complex problems, which limits their usefulness in real educational settings.
What's the solution?
The creators of Confucius3-Math used special training methods, including reinforcement learning, to make the model both lightweight and high-performing. This means it can solve difficult math problems quickly and accurately while running efficiently on regular computers.
Why it matters?
This matters because it provides an effective and practical AI tool to support math education for millions of students, helping them learn better and get personalized assistance in their studies.
Abstract
Confucius3-Math, a 14B parameter large language model, achieves state-of-the-art performance on mathematical reasoning tasks using reinforcement learning techniques and is optimized for education in China.