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Personalization in language models can significantly alter reasoning paths, leading to substantial drift that may go unnoticed in seemingly fluent responses.
VLAA-GUI's innovative framework allows autonomous agents to not only verify their success but also adaptively recover from failures, achieving human-level performance in GUI tasks.
