activity
20232026
most citedUnblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM

25 citations · 42 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2026

IFHierBench: Hierarchical Instruction Following for Large Language Models

Yuetian Mao, Chunyang Chen

Instruction-following ability is critical for deploying large language models in real-world applications, where downstream components depend on the output satisfying specific const…

cs.SE2025★ 1 cited

From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps

Yuetian Mao, Junjie He, Chunyang Chen

Large Language Models (LLMs) have revolutionized human-AI interaction by enabling intuitive task execution through natural language prompts. Despite their potential, designing effe…

cs.SE2024★ 1 cited

An Empirical Study on Challenges for LLM Application Developers

Xiang Chen, Chaoyang Gao, Chunyang Chen +2

In recent years, large language models (LLMs) have seen rapid advancements, significantly impacting various fields such as computer vision, natural language processing, and softwar…

cs.HC2024★ 25 cited

Unblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM

Zhe Liu, Chunyang Chen, Junjie Wang +5

Mobile apps have become indispensable for accessing and participating in various environments, especially for low-vision users. Users with visual impairments can use screen readers…

cs.SE2024★ 4 cited

Large Language Models for Mobile GUI Text Input Generation: An Empirical Study

Chenhui Cui, Tao Li, Junjie Wang +3

Mobile apps have become essential, making quality assurance increasingly important. GUI testing is widely used for automated exploration, yet text-input components remain a major o…

cs.SE2023★ 4 cited

Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions

Zhe Liu, Chunyang Chen, Junjie Wang +5

Automated Graphical User Interface (GUI) testing plays a crucial role in ensuring app quality, especially as mobile applications have become an integral part of our daily lives. De…

cs.SE2023★ 4 cited

Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model

Zhe Liu, Chunyang Chen, Junjie Wang +5

Mobile applications have become a ubiquitous part of our daily life, providing users with access to various services and utilities. Text input, as an important interaction channel…

cs.SE2023★ 3 cited

CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace

Yuchao Huang, Junjie Wang, Zhe Liu +5

Crash reports are vital for software maintenance since they allow the developers to be informed of the problems encountered in the mobile application. Before fixing, developers nee…