VideoSSR: Video Self-Supervised Reinforcement Learning
Paper
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2511.06281
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Published
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24
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VideoSSR-8B is a multimodal large language model (MLLM) fine-tuned from Qwen-VL-8B-Instruct for enhanced video understanding. It is trained using a novel Video Self-Supervised Reinforcement Learning (VideoSSR) framework, which generates its own high-quality training data directly from videos, eliminating the need for manual annotation.
- Base Model:
Qwen-VL-8B-Instruct - Paper: VideoSSR: Video Self-Supervised Reinforcement Learning
- Code: https://github.com/lcqysl/VideoSSR
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