CORE: Reinforcement Learning for Mathematical Reasoning Advancement
Published:Dec 21, 2025 19:01
•1 min read
•ArXiv
Analysis
This ArXiv paper presents CORE, a novel approach to improve AI's mathematical reasoning abilities by bridging the gap between definition understanding and practical application. The research focuses on concept-oriented reinforcement learning to enhance performance in complex mathematical tasks.
Key Takeaways
- •CORE utilizes reinforcement learning to improve mathematical reasoning.
- •The approach addresses the challenge of applying mathematical definitions.
- •The research is published on ArXiv, signifying pre-print status and potential for future developments.
Reference
“The paper focuses on bridging the definition-application gap in mathematical reasoning.”