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README.md
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HandVQA evaluates whether models truly understand spatial geometry rather than relying on language priors.
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## Citation
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HandVQA evaluates whether models truly understand spatial geometry rather than relying on language priors.
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## Citation
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```bibtex
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@inproceedings{sayem2026handvqa,
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title = {HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models},
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author = {Sayem, MD Khalequzzaman Chowdhury and Chowdhury, Mubarrat Tajoar and Tiruneh, Yihalem Yimolal and Khan, Muneeb A. and Ali, Muhammad Salman and Bhattarai, Binod and Baek, Seungryul},
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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year = {2026},
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note = {arXiv:2603.26362}
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}
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```
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