OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use

Year: 2025

Type: conference-paper

Abstract: Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-long.369

Institutions: Zhejiang University, Fudan University, Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences, Chinese University of Hong Kong, Tsinghua University, Shanghai Jiao Tong University, Hong Kong Polytechnic University

Language: English

Topic: Speech and dialogue systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Ant Group, National Natural Science Foundation of China, Key Research and Development Program of Zhejiang Province

Award: G1101031052

OpenAlex ID: W4412945534