Exploration-Guided Prompt Scaffolding for MLLM Reinforcement Learning

This framework uses an Exploration Potential Score (EPS) to dynamically adapt training prompt distributions during multimodal RL post-training. It identifies informative prompts based on KL-regularized policy improvement theory to optimize the rollout budget.