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Test-time scaling allows UAV navigation VLMs to self-correct and achieve state-of-the-art performance without any additional training.
VLMs struggle with raw medical data, achieving only a 48.6% success rate in standardization, revealing a critical gap in their clinical applicability.
Personalizing mobile GUI agents for privacy requires navigating structurally different execution trajectories, and TIPO offers a way to do it.
