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Tian-Chen Guan

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#artificial intelligence Preprint Sep 2026

Constructing Challenging Browser-Use Tasks by Controlled Environment Interventions

As browser-use agents improve, benchmarks keep pace by collecting new tasks, websites, and applications, often making tasks longer or more novel. This makes difficulty expensive to refresh and difficult to control: when many aspects change at once, it is unclear what actually makes a task challenging. We instead constr...

Xun-Jian Yin, Tian-Chen Guan, Jin-Ao Wang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents

This work presents ComponentBench, a benchmark and diagnostic pipeline for component-level evaluation of computer-use agents on modern web UIs, and introduces a scalable pipeline for auditing realized structural difficulty after implementation and synthesizing structured failure analyses across tasks and component fami...

Tian-Chen Guan, Xinlei Lin, Royce Cheng-Yue et al. · 0 citations