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cs.SE2025
From User Interface to Agent Interface: Efficiency Optimization of UI Representations for LLM Agents
Dezhi Ran, Zhi Gong, Yuzhe Guo +10
While Large Language Model (LLM) agents show great potential for automated UI navigation such as automated UI testing and AI assistants, their efficiency has been largely overlooke…
cs.SE2025
Beyond Pass or Fail: Multi-Dimensional Benchmarking of Foundation Models for Goal-based Mobile UI Navigation
Dezhi Ran, Mengzhou Wu, Hao Yu +15
Recent advances of foundation models (FMs) have made navigating mobile applications (apps) based on high-level goal instructions within reach, with significant industrial applicati…
cs.SE2024★ 1 cited
Enabling Cost-Effective UI Automation Testing with Retrieval-Based LLMs: A Case Study in WeChat
Sidong Feng, Haochuan Lu, Jianqin Jiang +6
UI automation tests play a crucial role in ensuring the quality of mobile applications. Despite the growing popularity of machine learning techniques to generate these tests, they…