RE: LeoThread 2025-01-04 08:14

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OS-Genesis: A Novel GUI Data Synthesis Pipeline that Reverses the Conventional Trajectory Collection Process

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Collecting quality data for training GUI agents is challenging due to reliance on human supervision or rigid synthetic methods, which limit diversity and adaptability.

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OS-Genesis, proposed by leading institutions, reverses traditional methods by using interaction-driven reverse task synthesis to create high-quality training data.

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Agents autonomously interact with GUIs, recording actions like clicks and typing, which are then analyzed to generate structured, task-based training data.

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Using the Trajectory Reward Model (TRM), synthesized data is scored on coherence, logic, and completeness, ensuring diverse, high-quality trajectories for training.

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Tests on benchmarks like AndroidWorld and WebArena show OS-Genesis improves task planning, action execution, and handles dynamic environments with robustness.

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By bridging abstract task instructions and dynamic GUIs, OS-Genesis enables agents to learn autonomously, advancing digital automation and GUI-focused AI.

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OS-Genesis sets a new standard for GUI agent training, eliminating human dependency and enhancing adaptability, paving the way for smarter AI systems.

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