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- 🤗 Dataset: https://huggingface.co/datasets/CodeGoat24/UnifiedReward-Flex-SFT-90K
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- 👋 Point of Contact: [Yibin Wang](https://codegoat24.github.io)
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#
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## UniGenBench
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| Model
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| FLUX2.Klein-base-9B | 78.93%
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| **w/ UnifiedReward-Flex**
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## T2I-CompBench
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| **w/ UnifiedReward-Flex** | **81.55%** | **99.69%** | **93.94%** | **84.69%** | **93.22%** | **70.75%** | **47.00%** |
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## Citation
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- 🤗 Dataset: https://huggingface.co/datasets/CodeGoat24/UnifiedReward-Flex-SFT-90K
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- 👋 Point of Contact: [Yibin Wang](https://codegoat24.github.io)
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# Quantitative Results
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## UniGenBench
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| Model | Overall | Style | World Knowledge | Attribute | Action | Relationship | Compound | Grammar | Logical Reasoning | Entity Layout | Text Generation |
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|:------|:------:|:-----:|:---------------:|:---------:|:------:|:------------:|:--------:|:-------:|:----------------:|:------------:|:--------------:|
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| FLUX2.Klein-base-9B | 78.93% | 97.50% | 91.61% | 83.65% | 77.00% | 86.42% | 78.61% | 76.87% | 53.41% | 88.43% | 55.75% |
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| **w/ UnifiedReward-Flex** | **81.45%** | **97.60%** | **91.93%** | **85.47%** | **78.42%** | **86.42%** | **81.96%** | **76.07%** | **58.64%** | **88.43%** | **69.54%**
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## T2I-CompBench
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| **w/ UnifiedReward-Flex** | **81.55%** | **99.69%** | **93.94%** | **84.69%** | **93.22%** | **70.75%** | **47.00%** |
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# Qualitative Results
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## Citation
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