AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Junyu Zhang, Runpei Dong, Han Wang, Xuying Ning, Haoran Geng, Peihao Li, Xialin He, Yutong Bai, Jitendra Malik, Saurabh Gupta, Huan Zhang
2025-06-02
Summary
This paper talks about AlphaOne, a new approach that lets AI models switch between thinking quickly or slowly depending on the situation, which helps them solve problems more efficiently and effectively.
What's the problem?
The problem is that most AI models either always think fast, which can lead to mistakes, or always think slow, which takes too much time. They struggle to balance speed and careful reasoning, especially when faced with different types of questions or challenges.
What's the solution?
The researchers created AlphaOne, which uses special techniques called the alpha moment and a Bernoulli process to decide when the model should pause and think more deeply or when it can answer quickly. This dynamic way of reasoning helps the AI model perform better on a wide range of tasks.
Why it matters?
This is important because it means AI can now adjust its thinking style to fit the problem, making it smarter, faster, and more reliable in areas like education, science, and everyday decision-making.
Abstract
AlphaOne dynamically modulates reasoning in large models by introducing $\alpha$ moment and Bernoulli process for slow thinking, improving efficiency and capability across diverse domains.