Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Languages:
Chinese
Size:
1K<n<10K
ArXiv:
License:
update
Browse files
README.md
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# AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models
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<font size=4><div align='center' > [[π Project Page](https://alignmmbench.github.io/)] [[π arXiv Paper]()] [[π Dataset](https://huggingface.co/datasets/THUDM/AlignMMBench)] </div></font>
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<p align="center">
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<img src="./assets/index.png" width="96%" height="50%">
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If you find our work helpful for your research, please consider citing our work.
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```bibtex
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```
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# AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models
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<font size=4><div align='center' > [[π Project Page](https://alignmmbench.github.io/)] [[π arXiv Paper](https://arxiv.org/pdf/2406.09295)] [[π Dataset](https://huggingface.co/datasets/THUDM/AlignMMBench)] </div></font>
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<p align="center">
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<img src="./assets/index.png" width="96%" height="50%">
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If you find our work helpful for your research, please consider citing our work.
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```bibtex
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@misc{wu2024alignmmbench,
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title={AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models},
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author={Yuhang Wu and Wenmeng Yu and Yean Cheng and Yan Wang and Xiaohan Zhang and Jiazheng Xu and Ming Ding and Yuxiao Dong},
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year={2024},
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eprint={2406.09295},
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archivePrefix={arXiv}
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}
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```
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