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@@ -25,16 +25,7 @@ To tackle these issues, Video-R1 proposes the T-GRPO algorithm, an extension of
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  Experimental results demonstrate that Video-R1 achieves significant improvements on various video reasoning benchmarks, including VideoMMMU, VSI-Bench, MVBench, and TempCompass. Notably, Video-R1-7B has shown competitive performance, even surpassing proprietary models like GPT-4o on certain video spatial reasoning tasks.
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- ## Authors
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- - Kaituo Feng
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- - Kaixiong Gong
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- - Bohao Li
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- - Zonghao Guo
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- - Yibing Wang
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- - Tianshuo Peng
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- - Benyou Wang
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- - Xiangyu Yue
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  ## Sample Usage
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  Experimental results demonstrate that Video-R1 achieves significant improvements on various video reasoning benchmarks, including VideoMMMU, VSI-Bench, MVBench, and TempCompass. Notably, Video-R1-7B has shown competitive performance, even surpassing proprietary models like GPT-4o on certain video spatial reasoning tasks.
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  ## Sample Usage
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