---
license: mit
---

![cover.png](https://raw.githubusercontent.com/puar-playground/VisR-Bench/refs/heads/main/cover.png)

## Testing Code:
The GitHub repo for testing code: [VisR-Bench](https://github.com/puar-playground/VisR-Bench/tree/main)

## Data Download
This is the page images of all documents of the VisR-Bench dataset.
```
git lfs install
git clone https://huggingface.co/datasets/puar-playground/VisR-Bench
```
The code above will download the `VisR-Bench` folder, which is required for testing. 

## Reference
```
@misc{chen2025visrbenchempiricalstudyvisual,
      title={VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding}, 
      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},
      year={2025},
      eprint={2508.07493},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2508.07493}, 
}

@misc{chen2025svragloracontextualizingadaptationmllms,
      title={SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding}, 
      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},
      year={2025},
      eprint={2411.01106},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2411.01106}, 
}
```