Generative Adversarial Reasoner: Boosting LLM Reasoning with Adversarial Reinforcement Learning
Published:Dec 18, 2025 18:59
•1 min read
•ArXiv
Analysis
This ArXiv paper introduces a novel approach for improving the reasoning capabilities of Large Language Models (LLMs) using adversarial reinforcement learning. The core concept leverages a generative adversarial framework to train an agent that enhances LLM performance in reasoning tasks.
Key Takeaways
- •Applies adversarial reinforcement learning to improve LLM reasoning.
- •Utilizes a generative adversarial framework.
- •The research aims to create an agent that enhances LLM performance.
Reference
“The paper focuses on enhancing LLM reasoning with adversarial reinforcement learning.”