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SparksJoe authored Jun 28, 2024
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Expand Up @@ -147,5 +147,19 @@ The results should be listed as the following structure.
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## Citation
If you find our work helpful for your research, please consider giving a star and citation
```bibtex
@article{qiao2024prism,
title={Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs},
author={Qiao, Yuxuan and Duan, Haodong and Fang, Xinyu and Yang, Junming and Chen, Lin and Zhang, Songyang and Wang, Jiaqi and Lin, Dahua and Chen, Kai},
journal={arXiv preprint arXiv:2406.14544},
year={2024}
}
```

## Acknowledgment
Utmost gratitude to [**Kenny**](https://github.com/kennymckormick)
- [VLMEvalKit](https://github.com/open-compass/VLMEvalKit): Open-source evaluation toolkit of large vision-language models (LVLMs)
- [XTuner](https://github.com/InternLM/xtuner): An efficient, flexible and full-featured toolkit for fine-tuning LLM
- [ALLaVA](https://github.com/FreedomIntelligence/ALLaVA): Harnessing 1.4M GPT4V-synthesized Data for A Lite Vision-Language Model
- Utmost gratitude to [**Kenny**](https://github.com/kennymckormick)

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