Author

Shengsheng Qian

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#artificial intelligence Preprint Sep 2026

VideoScout: Learning Agentic Active Exploration with Adaptive Reasoning Pacing for Long Video Understanding

VideoScout is proposed, a multi-turn reasoning agent that instantiates the SEA paradigm through adaptive reasoning pacing and enables efficient traversal of long videos within a bounded visual context window, allowing the agent to access more video content while balancing content analysis depth with reading efficiency.

Weixin Xu, Zhenyu Yang, Bing Wang et al. · 0 citations

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