most citedMemGUI-Bench: Benchmarking Memory of Mobile GUI Agents in Dynamic Environments

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

EvalMem: An Operation-Level Diagnostic Framework for Long-Term Memory Systems

Zeyu Liu, Jian Zhong, Rongduo Han +12

Long-horizon interactions with LLM-based assistants require memory systems that preserve and update user states, preferences, and interaction histories. Existing evaluations report…

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.DC2026★ 1 cited

MemGUI-Bench: Benchmarking Memory of Mobile GUI Agents in Dynamic Environments

Guangyi Liu, Pengxiang Zhao, Yaozhen Liang +12

Reliable mobile GUI agents must retain and reuse information across actions, applications, and repeated interactions. However, current benchmarks systematically underrepresent thes…

cs.HC2025

How to Make Your Multi-Image Posts Popular? An Approach to Enhanced Grid for Nine Images on Social Media

Qi Xi, Shulin Li, Zhiqi Gao +7

The nine-grid layout is commonly used for multi-image posts, arranging nine images in a tic-tac-toe board. This layout effectively presents content within limited space. Moreover,…

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…