AI RESEARCH
SecAgent: Efficient Mobile GUI Agent with Semantic Context
arXiv CS.CV
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ArXi:2603.08533v1 Announce Type: new Mobile Graphical User Interface (GUI) agents powered by multimodal large language models have nstrated promising capabilities in automating complex smarttasks. However, existing approaches face two critical limitations: the scarcity of high-quality multilingual datasets, particularly for non-English ecosystems, and inefficient history representation methods. To address these challenges, we present SecAgent, an efficient mobile GUI agent at 3B scale.