Papers with exhaustive perception

    1 papers
    CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation (2024.findings-acl)

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    Challenge: Current vital challenges for autonomous agents lie in two aspects: dependence on strong (M)LLMs and insufficient GUI environment modeling.
    Approach: They propose a comprehensive cognitive LLM agent with two novel approaches to improve GUI automation performance.
    Outcome: The proposed agent achieves state-of-the-art performance on AITW and META-GUI benchmarks.

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