Generative Adversarial Reasoner: Boosting LLM Reasoning with Adversarial Reinforcement Learning

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.

• •Applies adversarial reinforcement learning to improve LLM reasoning.
• •Utilizes a generative adversarial framework.
• •The research aims to create an agent that enhances LLM performance.