Multi-turn Training with Basic Human Feedback Helps Little on LLM Reasoning

Qiang Liu, Wuganjing Song, Zhenzhou Lin +4

The reasoning capabilities of Large Language Models (LLMs) are typically developed through the single-turn reinforcement learning, whereas real-world applications often involve mul…