wangphoebe
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license: apache-2.0
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This is benchmark for paper "ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models" ([arxiv](https://arxiv.org/abs/2410.04659))
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Please refer to this [github](https://github.com/THUNLP-MT/ActiView) repo for detail
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license: apache-2.0
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# ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models
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<p align="center"><img src="./figures/figure1.png" alt="Image" width=60% ></p>
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<div align="center">
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<a href="https://wangphoebe.github.io/actiview_homepage/">🌐<strong>Homepage</strong></a> | <a href="https://arxiv.org/abs/2410.04659">📖<strong>arXiv</strong></a> | <a href="https://huggingface.co/datasets/wangphoebe/ActiView">🤗<strong>Dataset</strong></a>
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</div>
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## Overview
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This is benchmark for paper "ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models" ([arxiv](https://arxiv.org/abs/2410.04659))
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Please refer to this [github](https://github.com/THUNLP-MT/ActiView) repo **for detail.**
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To use this dataset, please download all the files and place them under the asset dir as in the above repo. The Archive_imgs.zip file contains 3 dirs of necessary image files for evaluating. Please unzip this file and place the resulting dirs under the asset dir in our github repo.
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## Citation
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If you find our data useful, please consider citing:
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```
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@misc{wang2024activiewevaluatingactiveperception,
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title={ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models},
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author={Ziyue Wang and Chi Chen and Fuwen Luo and Yurui Dong and Yuanchi Zhang and Yuzhuang Xu and Xiaolong Wang and Peng Li and Yang Liu},
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year={2024},
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eprint={2410.04659},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2410.04659},
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}
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```
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