Annotations as Rollouts: Efficient and Scalable Reinforcement Learning for Video MLLMs
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arXiv:2608.20492v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have become a prevailing paradigm for unified video perception. However, post-training on large multi-task datasets remains challenging, as existing reinforcement learning methods sample on-policy groups with f…
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- 2026-08-24 04:00 · arXiv cs.CV
Annotations as Rollouts: Efficient and Scalable Reinforcement Learning for Video MLLMs