most citedLLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects

2 citations · 2 across the 7 of their papers we have counts for

collaborators

10 papers

cs.AI2026

UI-KOBE: Knowledge-Oriented Behavior Exploration for Lightweight Graph-Guided GUI Agents

Yuxiang Chai, Han Xiao, Xinyu Fu +3

Recent advances in mobile GUI agents have shown strong potential for automating mobile tasks, but most effective systems still depend on large vision-language models for screenshot…

cs.AI2026

MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research

Dingbang Wu, Rui Hao, Haiyang Wang +8

We present MobileGym, a browser-hosted, lightweight, fully controllable environment for everyday mobile use, targeting interaction fidelity without replicating proprietary backends…

cs.LG2026

SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement Learning

Jichao Wang, Liuyang Bian, Yufeng Zhou +9

As Multimodal Large Language Models (MLLMs) mature, GUI agents are evolving from static interactions to complex navigation. While Reinforcement Learning (RL) has emerged as a promi…

cs.AI2026

PIRA-Bench: A Transition from Reactive GUI Agents to GUI-based Proactive Intent Recommendation Agents

Yuxiang Chai, Shunye Tang, Han Xiao +2

Current Graphical User Interface (GUI) agents operate primarily under a reactive paradigm: a user must provide an explicit instruction for the agent to execute a task. However, an…

cs.CL2025

UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents

Han Xiao, Guozhi Wang, Yuxiang Chai +12

In this paper, we introduce UI-Genie, a self-improving framework addressing two key challenges in GUI agents: verification of trajectory outcome is challenging and high-quality tra…

cs.CV2025

MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning

Ke Wang, Junting Pan, Linda Wei +8

Natural language image-caption datasets, widely used for training Large Multimodal Models, mainly focus on natural scenarios and overlook the intricate details of mathematical figu…

cs.CV2025

Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding

Han Xiao, Yina Xie, Guanxin Tan +12

Visual Document Understanding has become essential with the increase of text-rich visual content. This field poses significant challenges due to the need for effective integration…

cs.CL2025

WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch

Zimu Lu, Yunqiao Yang, Houxing Ren +7

LLM-based agents have demonstrated great potential in generating and managing code within complex codebases. In this paper, we introduce WebGen-Bench, a novel benchmark designed to…

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

A3: Android Agent Arena for Mobile GUI Agents with Essential-State Procedural Evaluation

Yuxiang Chai, Shunye Tang, Han Xiao +12

The advancement of Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) has catalyzed the development of mobile graphic user interface (GUI) AI agents, which i…