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README.md
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| [VideoReward](https://github.com/KwaiVGI/VideoAlign) | Point | | |√ ||
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| UnifiedReward (Ours) | Pair/Point | √ | √ |√|√|
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**VLRewardBench** Comparison Results
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| Models | General | Hallu. | Reason. | Overall Accuracy | Macro Accuracy |
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|----------------------|---------|--------|---------|------------------|---------------|
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| Gemini-1.5-Pro | 50.8 | 72.5 | 64.2 | 67.2 | 62.5 |
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| GPT-4o | 49.1 | 67.6 | **70.5** | 65.8 | 62.4 |
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| LLaVA-Critic | 47.4 | 38.5 | 53.8 | 46.9 | 46.6 |
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| OV-7B | 32.2 | 20.1 | 57.1 | 29.6 | 36.5 |
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| **UnifiedReward** | 60.6 | 78.4 | 60.5 | 66.1 | 66.5 |
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| [UnifiedReward-v1.5](https://huggingface.co/CodeGoat24/UnifiedReward-7b-v1.5) | **68.1** | **84.4** | 59.5 | **70.1** | **70.7** |
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**GenAI-Bench(Image)** Comparison Results
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| Method | GenAI-Bench | |
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|------------------|------------|--------|
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| | tau | diff |
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| PickScore | 53.2 | 67.2 |
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| HPSv2 | 51.6 | 68.4 |
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| ImageReward | 47.8 | 65.0 |
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| VisionReward | 46.8 | 66.4 |
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| OV-7B | 39.7 | 53.2 |
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| **UnifiedReward** | 54.8 | 70.9 |
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| [UnifiedReward-v1.5](https://huggingface.co/CodeGoat24/UnifiedReward-7b-v1.5) | **58.9** | **72.4** |
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**GenAI-Bench(Video)** and **VideoGen-Reward** Comparison Results
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| Method | GenAI-Bench | | VideoGen-Reward | |
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|------------------|------------|--------|-----------------|--------|
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| | tau | diff | tau | diff |
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| VideoScore | 46.2 | 70.6 | 42.1 | 49.9 |
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| LiFT | 41.2 | 60.1 | 40.6 | 58.3 |
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| VisionReward | 52.1 | 73.1 | 57.4 | 68.2 |
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| VideoReward | 50.2 | 73.3 | 60.1 | 73.9 |
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| OV-7B | 40.8 | 51.4 | 40.4 | 50.2 |
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| **UnifiedReward** | 60.7 | 77.2 | 66.6 | 79.3 |
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| [UnifiedReward-v1.5](https://huggingface.co/CodeGoat24/UnifiedReward-7b-v1.5) | **61.7** | **78.5** | **67.0** | **80.5** |
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### Quick Start
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All pair rank and point score inference codes are provided in our [github](https://github.com/CodeGoat24/UnifiedReward).
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| [VideoReward](https://github.com/KwaiVGI/VideoAlign) | Point | | |√ ||
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| UnifiedReward (Ours) | Pair/Point | √ | √ |√|√|
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### Quick Start
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All pair rank and point score inference codes are provided in our [github](https://github.com/CodeGoat24/UnifiedReward).
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