General-Reasoner: Advancing LLM Reasoning Across All Domains
Xueguang Ma, Qian Liu, Dongfu Jiang, Ge Zhang, Zejun Ma, Wenhu Chen
2025-05-21
Summary
This paper talks about General-Reasoner, a new AI system that helps large language models think and solve problems better across all kinds of subjects by using smarter training and answer checking.
What's the problem?
The problem is that even the best language models sometimes struggle to reason through tough questions, especially when dealing with topics they haven’t seen much before, which leads to mistakes or weak answers.
What's the solution?
To fix this, the researchers trained General-Reasoner with a huge and varied set of questions and answers, and also used another AI to double-check the answers, making sure the model learns to be more accurate and reliable.
Why it matters?
This matters because it means AI can become more trustworthy and helpful in school, work, and daily life, since it can handle a wider range of questions and give better, more reliable explanations.
Abstract
General-Reasoner enhances large language model reasoning across diverse domains by using a large-scale dataset and generative model-based answer verification, outperforming existing methods.