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README.md
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language:
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- en
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pretty_name: visual_language
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-
---
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language:
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- en
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pretty_name: visual_language
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---
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# Introduction
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This dataset is used to evaluate how Large Vision-Language Models (LVLMs) perform the visual question-answering tasks: understanding the input image or halluciating with the knowledge in the language module.
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We provide a testmini set that includes all types of evaluations.
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# Citation
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If you use this dataset, please cite our paper:
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```
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@article{DBLP:journals/corr/abs-2410-00193,
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author = {Buse Giledereli and
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Yifan Hou and
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Yilei Tu and
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Mrinmaya Sachan},
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title = {Do Vision-Language Models Really Understand Visual Language?},
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journal = {CoRR},
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volume = {abs/2410.00193},
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year = {2024},
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url = {https://doi.org/10.48550/arXiv.2410.00193},
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doi = {10.48550/ARXIV.2410.00193},
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eprinttype = {arXiv},
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eprint = {2410.00193},
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timestamp = {Tue, 05 Nov 2024 20:39:06 +0100},
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biburl = {https://dblp.org/rec/journals/corr/abs-2410-00193.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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