# VIDEO-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning
This is the official implementation for Video-RTS.
[](https://sites.google.com/cs.unc.edu/videorts2025/) [](https://arxiv.org/abs/2507.06485) [](https://huggingface.co/Ted412/Video-RTS)
### Authors: [Ziyang Wang*](https://ziyangw2000.github.io/), [Jaehong Yoon*](https://jaehong31.github.io/), [Shoubin Yu](https://yui010206.github.io/), [Md Mohaiminul Islam](https://md-mohaiminul.github.io/), [Gedas Bertasius](https://www.gedasbertasius.com/), [Mohit Bansal](https://www.cs.unc.edu/~mbansal/)
### University of North Carolina at Chapel Hill
We introduce Video-RTS, a new approach to improve video reasoning capability with drastically improved data efficiency by combini…
