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LLMs can achieve high accuracy while failing to maintain logical consistency, revealing a critical gap in their reasoning capabilities.
UI-MOPD achieves a remarkable balance between retaining existing capabilities and adapting to new platforms, with task success rates that challenge conventional approaches in GUI agent learning.
