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• GUIDE is a training-free, plug-and-play framework designed to resolve domain bias in GUI agents by acquiring expertise from web tutorial videos.method 95%
• GUIDE utilizes a subtitle-driven Video-RAG pipeline for progressive three-stage retrieval: domain classification, topic extraction, and relevance matching, to identify task-relevant tutorial videos.method 95%
• GUIDE employs a fully automated annotation pipeline based on an inverse dynamics paradigm to infer planning and grounding knowledge from keyframes and UI element detection.method 95%
• GUIDE consistently yields over 5% improvements and reduces execution steps on OSWorld without modifying any model parameters or architecture.result 95%
• GUIDE's retrieval process starts with over 50 candidate YouTube videos and progressively narrows them down through subtitle analysis.method 90%
• The final selection of tutorial videos by GUIDE is limited to a top-K (K<=2) set.method 90%
• GUIDE can be integrated as a plug-and-play component for both multi-agent systems and single-model GUI agents.method 95%

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