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@@ -108,15 +108,18 @@ ICT models are trained using hierarchical scoring with triplet rankings:
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  This model was trained on 360,000 preference triplets from [Pick-High dataset](https://huggingface.co/datasets/8y/Pick-High-Dataset) and Pick-a-pic dataset.
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- <!--
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  ## Citation
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  ```bibtex
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- @article{ba2024enhancing,
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- title={Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment},
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- author={Ba, Ying and Zhang, Tianyu and Bai, Yalong and Mo, Wenyi and Liang, Tao and Su, Bing and Wen, Ji-Rong},
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- journal={arXiv preprint arXiv:xxxx.xxxxx},
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- year={2024}
 
 
 
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  }
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- ``` -->
 
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  This model was trained on 360,000 preference triplets from [Pick-High dataset](https://huggingface.co/datasets/8y/Pick-High-Dataset) and Pick-a-pic dataset.
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+
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  ## Citation
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  ```bibtex
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+ @misc{ba2025enhancingrewardmodelshighquality,
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+ title={Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment},
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+ author={Ying Ba and Tianyu Zhang and Yalong Bai and Wenyi Mo and Tao Liang and Bing Su and Ji-Rong Wen},
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+ year={2025},
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+ eprint={2507.19002},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2507.19002},
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  }
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+ ```