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README.md
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license: mit
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---
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## Data Download
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This is the page images of all documents of the VisR-Bench dataset.
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git lfs install
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git clone https://huggingface.co/datasets/puar-playground/VisR-Bench
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```
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The code above will download the `VisR-Bench` folder, which is required for testing
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license: mit
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---
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## Testing Code:
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The GitHub repo for testing code: [VisR-Bench](https://github.com/puar-playground/VisR-Bench/tree/main)
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## Data Download
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This is the page images of all documents of the VisR-Bench dataset.
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git lfs install
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git clone https://huggingface.co/datasets/puar-playground/VisR-Bench
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```
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The code above will download the `VisR-Bench` folder, which is required for testing.
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## Reference
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```
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@misc{chen2025visrbenchempiricalstudyvisual,
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title={VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding},
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author={Jian Chen and Ming Li and Jihyung Kil and Chenguang Wang and Tong Yu and Ryan Rossi and Tianyi Zhou and Changyou Chen and Ruiyi Zhang},
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year={2025},
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eprint={2508.07493},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2508.07493},
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}
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@inproceedings{chen2025svrag,
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title={{SV}-{RAG}: Lo{RA}-Contextualizing Adaptation of {MLLM}s for Long Document Understanding},
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author={Jian Chen and Ruiyi Zhang and Yufan Zhou and Tong Yu and Franck Dernoncourt and Jiuxiang Gu and Ryan A. Rossi and Changyou Chen and Tong Sun},
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booktitle={The Thirteenth International Conference on Learning Representations},
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year={2025},
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url={https://openreview.net/forum?id=FDaHjwInXO}
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}
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```
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