Papers
1
Total Citations
8
H-Index
1
About
Long Jiao is a leading researcher at the intersection of artificial intelligence and autonomous systems, with a primary focus on enhancing the reliability and reasoning capabilities of large language models (LLMs) for robotic control. His most cited work, "GSCE: a Prompt Framework With Enhanced Reasoning for Reliable LLM-Driven Drone Control" (2025, 8 citations), introduces a novel prompt engineering framework that addresses critical challenges in deploying LLMs for complex, real-time drone operations. By improving the logical reasoning and decision-making processes of LLMs, Jiao’s contributions directly tackle the safety and reliability concerns that have limited the adoption of AI in autonomous flight. This work has already garnered attention for its practical implications, bridging the gap between theoretical AI advances and tangible robotic applications. Jiao’s research is particularly notable for its focus on prompt-based reasoning enhancements, offering a scalable solution that does not require retraining large models. His achievements position him as an emerging authority in trustworthy AI for robotics, with his work laying the groundwork for more robust and dependable autonomous systems in high-stakes environments like drone navigation.
Research Focus
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Top Papers
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