AI RESEARCH
GUI-CEval: A Hierarchical and Comprehensive Chinese Benchmark for Mobile GUI Agents
arXiv CS.CV
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ArXi:2603.15039v1 Announce Type: new Recent progress in Multimodal Large Language Models (MLLMs) has enabled mobile GUI agents capable of visual perception, cross-modal reasoning, and interactive control. However, existing benchmarks are largely English-centric and fail to capture the linguistic and interaction characteristics of the Chinese mobile ecosystem. They also focus on isolated skills such as GUI grounding or offline agent, lacking a unified and fine-grained framework to assess the full capability chain from perception to execution. To address this gap, we