@inproceedings{zhu-etal-2025-moba,
    title = "{M}ob{A}: Multifaceted Memory-Enhanced Adaptive Planning for Efficient Mobile Task Automation",
    author = "Zhu, Zichen  and
      Tang, Hao  and
      Li, Yansi  and
      Liu, Dingye  and
      Xu, Hongshen  and
      Lan, Kunyao  and
      Zhang, Danyang  and
      Jiang, Yixuan  and
      Zhou, Hao  and
      Wang, Chenrun  and
      Zhang, Situo  and
      Sun, Liangtai  and
      Wang, Yixiao  and
      Sun, Yuheng  and
      Chen, Lu  and
      Yu, Kai",
    editor = "Dziri, Nouha  and
      Ren, Sean (Xiang)  and
      Diao, Shizhe",
    booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.naacl-demo.43/",
    pages = "535--549",
    ISBN = "979-8-89176-191-9",
    abstract = "Existing Multimodal Large Language Model (MLLM)-based agents face significant challenges in handling complex GUI (Graphical User Interface) interactions on devices. These challenges arise from the dynamic and structured nature of GUI environments, which integrate text, images, and spatial relationships, as well as the variability in action spaces across different pages and tasks. To address these limitations, we propose MobA, a novel MLLM-based mobile assistant system. MobA introduces an adaptive planning module that incorporates a reflection mechanism for error recovery and dynamically adjusts plans to align with the real environment contexts and action module{'}s execution capacity. Additionally, a multifaceted memory module provides comprehensive memory support to enhance adaptability and efficiency. We also present MobBench, a dataset designed for complex mobile interactions. Experimental results on MobBench and AndroidArena demonstrate MobA{'}s ability to handle dynamic GUI environments and perform complex mobile tasks."
}