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@@ -337,19 +337,32 @@ with an average of 15.2 images and 422.3 words each, as depicted in the figure,
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  ## How to use?
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- Please download MileBench.zip and refer to [Code for MileBench](https://github.com/MileBench/MileBench?tab=readme-ov-file#-dataset-preparation).
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  ## Links
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  - **Homepage:** [MileBench Homepage](https://milebench.github.io/)
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  - **Repository:** [MileBench GitHub](https://github.com/MileBench/MileBench)
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- - **Paper:** [Arxiv](https://arxiv.org/)
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  - **Point of Contact:** [Dingjie Song](mailto:bbsngg@outlook.com)
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  ## Citation
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  If you find this project useful in your research, please consider cite:
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  ```BibTeX
 
 
 
 
 
 
 
 
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-
 
 
 
 
 
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  ```
 
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  ## How to use?
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+ Please download MileBench.tar.gz and refer to [Code for MileBench](https://github.com/MileBench/MileBench?tab=readme-ov-file#-dataset-preparation).
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  ## Links
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  - **Homepage:** [MileBench Homepage](https://milebench.github.io/)
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  - **Repository:** [MileBench GitHub](https://github.com/MileBench/MileBench)
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+ - **Paper:** [Arxiv](https://arxiv.org/abs/2404.18532)
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  - **Point of Contact:** [Dingjie Song](mailto:bbsngg@outlook.com)
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  ## Citation
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  If you find this project useful in your research, please consider cite:
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  ```BibTeX
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+ @misc{song2024milebench,
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+ title={MileBench: Benchmarking MLLMs in Long Context},
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+ author={Dingjie Song and Shunian Chen and Guiming Hardy Chen and Fei Yu and Xiang Wan and Benyou Wang},
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+ year={2024},
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+ eprint={2404.18532},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ @article{song2024milebench,
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+ title={MileBench: Benchmarking MLLMs in Long Context},
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+ author={Song, Dingjie and Chen, Shunian and Chen, Guiming Hardy and Yu, Fei and Wan, Xiang and Wang, Benyou},
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+ journal={arXiv preprint arXiv:2404.18532},
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+ year={2024}
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+ }
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  ```