Papers by Qingchen Liu

    1 papers
    FalconCopilot: Empowering LLMs Towards Integrated Human-Machine Systems for Aviation Autonomy (2026.findings-acl)

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    Challenge: Complex flight tasks require both intricate, long-horizon decision-making and precise operations.
    Approach: They propose a LLM-based copilot system that addresses deficiencies in adaptability and fine-grained decision support while integrating with a high-fidelity environment.
    Outcome: The proposed system shortens task completion time while attaining a level of performance approaching that of a human instructor.

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