AgentCPM‑GUI: Building Mobile‑Use Agents with Reinforcement Fine‑Tuning

Zhong Zhang , Yaxi Lu , Yikun Fu , Yupeng Huo , Shenzhi Yang , Yesai Wu , Han Si , Xin Cong , Haotian Chen , Yankai Lin , Jie Xie , Wei Zhou , Wang Xu , Yuanheng Zhang , Zhou Su , Zhongwu Zhai , Xiaoming Liu , Yudong Mei , Jianming Xu , Hongyan Tian , Chongyi Wang , Chi Chen , Yuan Yao , Zhiyuan Liu , Maosong Sun

🏛 Institutions: Tsinghua , Renmin University of China , ModelBest
📅 Date: June 2, 2025
📑 Publisher: EMNLP 2025 System Demonstrations
💻 Env: Mobile
🔑 Keywords: model benchmark reinforcement learning GRPO grounding-aware pre-training CAGUI AgentCPM-GUI

TLDR

AgentCPM-GUI is an 8B mobile GUI model aimed at robust on-device interaction, especially for Chinese and English interfaces. It combines grounding-aware pre-training, supervised trajectory imitation, and GRPO-based reinforcement fine-tuning, and reports strong results on five public benchmarks plus the newly proposed Chinese benchmark CAGUI.

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