most citedChat-like Asserts Prediction with the Support of Large Language Model

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

OpenHarmony Bench: Evaluating LLMs and Coding Agents on OpenHarmony App Development

Li Li, Han Hu, Tianjian Zhang +27

We present OPENHARMONY BENCH, an app-level coding benchmark for evaluating LLM-based coding agents on OpenHarmony ArkTS applications. Unlike function-level benchmarks, it evaluates…

cs.CV2026

HyMobileAgent: Data-Environment Co-Scaling for Efficient GUI Agents

Hy Vision Team, Huawen Shen, Zhengyang Tang +20

As large multimodal models move from understanding content to operating on digital environments, mobile GUI has emerged as a challenging and consequential testbed for digital embod…

cs.CL2026

PhoneHarness: Harnessing Phone-Use Agents through Mixed GUI, CLI, and Tool Actions

Chenxin Li, Zhengyao Fang, Zhengyang Tang +18

Phone agents are increasingly expected to complete real mobile workflows rather than merely predict the next screen action. However, much of the current mobile-agent literature sti…

cs.SE2024★ 1 cited

Chat-like Asserts Prediction with the Support of Large Language Model

Han Wang, Han Hu, Chunyang Chen +1

Unit testing is an essential component of software testing, with the assert statements playing an important role in determining whether the tested function operates as expected. Al…

cs.SE2024

Enhancing GUI Exploration Coverage of Android Apps with Deep Link-Integrated Monkey

Han Hu, Han Wang, Ruiqi Dong +2

Mobile apps are ubiquitous in our daily lives for supporting different tasks such as reading and chatting. Despite the availability of many GUI testing tools, app testers still str…