Hint-Guided Diversified Policy Optimization for LLM Reasoning

In three linesHDPO (Hint-Guided Diversified Policy Optimization) enhances LLM reasoning through reinforcement learning with verifiable rewards. The method prompts models to first generate multiple candidate solution outlines (hints), then select the most reliable one. Two stages: Cold Start for structured reasoning, then hint-guided RL to diversify and improve solution reliability.

Summary generated by Claude — human-verified