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Discover an innovative approach to mobile UI agents with a cutting-edge solution from Tsinghua University that leverages the power of Small Language Models (SLMs) to automate tasks on-device. Our method addresses the privacy and cost concerns associated with large language models (LLMs) by offering a domain-specific, compact model trained with high-quality data. This breakthrough transforms the UI task automation challenge into a code generation problem, efficiently tackled by an SLM and executed with an on-device code interpreter. Our document-centered strategy automatically constructs detailed API documentation for each app, creating diverse task samples to guide the agent in learning to generate accurate and efficient scripts for unseen tasks. Experience the future of mobile UI interactions with our solution, boasting significantly higher success rates, lower latency, and reduced token consumption compared to state-of-the-art mobile UI agents. Stay ahead with our open-source code, set to revolutionize the field.