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@@ -53,3 +53,14 @@ Please refer to our [Github](https://github.com/WildVision-AI/WildVision-Bench)
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  | bczhou/tiny-llava-v1-hf | 8.3 | (-1.6, 1.2) | 11.0% | -66.2 | 16.0 | 39.0 | 15.0 | 127.0 | 303.0 | 72 |
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  | unum-cloud/uform-gen2-qwen-500m | 7.81 | (-1.3, 1.7) | 10.8% | -68.5 | 16.0 | 38.0 | 11.0 | 115.0 | 320.0 | 92 |
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  | bczhou/tiny-llava-v1-hf | 8.3 | (-1.6, 1.2) | 11.0% | -66.2 | 16.0 | 39.0 | 15.0 | 127.0 | 303.0 | 72 |
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  | unum-cloud/uform-gen2-qwen-500m | 7.81 | (-1.3, 1.7) | 10.8% | -68.5 | 16.0 | 38.0 | 11.0 | 115.0 | 320.0 | 92 |
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+
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+ ## Citation
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+ ```
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+ @article{lu2024wildvision,
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+ title={WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences},
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+ author={Lu, Yujie and Jiang, Dongfu and Chen, Wenhu and Wang, William Yang and Choi, Yejin and Lin, Bill Yuchen},
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+ journal={arXiv preprint arXiv:2406.11069},
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+ year={2024}
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+ }
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+ ```
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+