Boosting LLM Reasoning with Entropy-Guided Reinforcement Learning
Published:Dec 4, 2025 01:09
•1 min read
•ArXiv
Analysis
The research explores an innovative approach to enhance the reasoning capabilities of Large Language Models (LLMs) by integrating semantic and token entropy into reinforcement learning. This method likely aims to improve the efficiency and accuracy of LLM-based reasoning systems.
Key Takeaways
Reference
“The paper is available on ArXiv.”