Shanghai Jiao Tong Researchers Propose OctoThinker for Reinforcement Learning-Scalable LLM Development
Introduction: Reinforcement Learning Progress through Chain-of-Thought Prompting LLMs have shown excellent progress in complex reasoning tasks through CoT prompting combined with large-scale reinforcement learning (RL). Models like Deepseek-R1-Zero have shown strong reasoning capabilities by applying RL directly to base models. Similarly, methods such as SimpleRL and Open-ReasonerZero show improvements in smaller models like the Qwen…
