Author

Hao Li

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Preprint Aug 2026

Annotations as Rollouts: Efficient and Scalable Reinforcement Learning for Video MLLMs

The sample efficiency and scalability of RL post-training for video MLLMs and introduces OraRL, a decoupled advantage estimator that scales with model size and data, surpassing its backbone from 0.8B to 9B and GRPO up to 100k prompts.

Yun-Heng Li, Guo-Hong Mu, Hao Li et al. · 1 citation