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Graphical user interface (GUI) has become integral to modern society, making it crucial to be understood for human-centric systems.
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Uibert: Learning generic multimodal representations for UI understanding
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WebSRC: A dataset for web-based structural reading comprehension
Xingyu Chen, Zihan Zhao, Lu Chen, JiaBao Ji, Danyang Zhang, Ao Luo, Yuxuan Xiong, and Kai Yu · 2021
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Screen2vec: Semantic embedding of gui screens and gui components
Toby Jia-Jun Li, Lindsay Popowski, Tom Mitchell, and Brad A Myers · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Webgpt: Browser-assisted question-answering with human feedback
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Screen2words: Automatic mobile ui summarization with multimodal learning
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Guigan: Learning to generate gui designs using generative adversarial networks
Tianming Zhao, Chunyang Chen, Yuanning Liu, and Xiaodong Zhu · 2021
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Screenqa: Large-scale question-answer pairs over mobile app screenshots
Yu-Chung Hsiao, Fedir Zubach, Gilles Baechler, Victor Carbune, Jason Lin, Maria Wang, Srinivas Sunkara, Yun Zhu, and Jindong Chen · 2022
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Lora: Low-rank adaptation of large language models
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2022
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Cogagent: A visual language model for GUI agents
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mplug-paperowl: Scientific diagram analysis with the multimodal large language model
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Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Basil Mustafa, Sebastian Goodman, Ibrahim Alabdulmohsin, Piotr Padlewski, et al · 2023
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Omniparser for pure vision based gui agent
Yadong Lu, Jianwei Yang, Yelong Shen, and Ahmed Awadallah · 2024
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Coco-agent: A comprehensive cognitive mllm agent for smartphone gui automation
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Eyes wide shut? exploring the visual shortcomings of multimodal llms
Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, and Saining Xie · 2024
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Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution
Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Yang Fan, Kai Dang, Mengfei Du, Xuancheng Ren, Rui Men, Dayiheng Liu, Chang Zhou, Jingren Zhou, and Junyang Lin · 2024
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Mlevlm: Improve multi-level progressive capabilities based on multimodal large language model for medical visual question answering
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Minicpm-v: A gpt-4v level mllm on your phone
Yuan Yao, Tianyu Yu, Ao Zhang, Chongyi Wang, Junbo Cui, Hongji Zhu, Tianchi Cai, Haoyu Li, Weilin Zhao, Zhihui He, et al · 2024
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Differential-perceptive and retrieval-augmented mllm for change captioning
Xian Zhang, Haokun Wen, Jianlong Wu, Pengda Qin, Hui Xue’, and Liqiang Nie · 2024
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Mova: Adapting mixture of vision experts to multimodal context
Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, and Yu Liu · 2024
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Ferret-ui: Grounded mobile ui understanding with multimodal llms
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