2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.AI2025
MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents
Pengxiang Zhao, Guangyi Liu, YaoZhen Liang +11
Shortcuts such as APIs and deep-links have emerged as efficient complements to flexible GUI operations, fostering a promising hybrid paradigm for MLLM-based mobile automation. Howe…
cs.HC2025★ 2 cited
LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects
Guangyi Liu, Pengxiang Zhao, Yaozhen Liang +17
With the rapid rise of large language models (LLMs), phone automation has undergone transformative changes. This paper systematically reviews LLM-driven phone GUI agents, highlight…
cs.AI2025★ 1 cited
UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning
Zhengxi Lu, Yuxiang Chai, Yaxuan Guo +7
The recent DeepSeek-R1 has showcased the emergence of reasoning capabilities in LLMs through reinforcement learning (RL) with rule-based rewards. Despite its success in language mo…