@inproceedings{wang-etal-2026-gui0,
    title = "{GUI}0: Self-Evolving Foundational {GUI} Agents in Super App Ecosystems",
    author = "Wang, Xinyi  and
      Dai, Wei  and
      Qiao, Kyle  and
      Wang, Ke  and
      Chen, Peng  and
      Cao, Gang  and
      Kangqin  and
      Wang, Zhongpu  and
      Zhang, Xiaode  and
      Liu, Yanming  and
      Gu, Jihao  and
      Xu, Jingtao  and
      Zhi, Gong",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.acl-long.2052/",
    pages = "44348--44361",
    ISBN = "979-8-89176-390-6",
    abstract = "Automated interaction with graphical user interfaces (GUIs) is central to General Artificial Intelligence yet remains challenging within Super App ecosystems, characterized by non-standard rendering and absent accessibility metadata. While GUI agents often rely on explicit accessibility trees or static imitation, they are less explored for dynamic environments marked by sparse feedback and implicit visual cues. We present GUI0, a framework synergizing autonomous data synthesis with dual-agent co-evolution. GUI0 establishes a domain-aware foundation model via synthesized corpora and employs curriculum-driven reinforcement learning, where a curriculum agent generates boundary tasks to optimize an actor agent.Empirical results demonstrate three key advantages: (1) State-of-the-art performance on the SuperAPP benchmark, outperforming Gemini-2.5-Pro and Claude-4-Sonnet; (2) universal efficacy across diverse base models, consistently yielding substantial improvements on both Qwen2.5-VL and GUI-Owl variants; and (3) robust zero-shot generalization to standard GUIs (e.g., +62.7{\%} on ScreenSpot Pro)."
}