Fine-tuning Qwen-Math-7B with LoRA and GRPO on BlueSky simulator data improves LLM accuracy and consistency in cooperative sUAS tactical deconfliction, reducing near mid-air collisions.
Modeling and Predicting Mental Workload in En Route Air Traffic Control: Critical Review and Broader Im- plications.Human Factors, 49(3):376–399
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Fine-Tuning Large Language Models for Cooperative Tactical Deconfliction of Small Unmanned Aerial Systems
Fine-tuning Qwen-Math-7B with LoRA and GRPO on BlueSky simulator data improves LLM accuracy and consistency in cooperative sUAS tactical deconfliction, reducing near mid-air collisions.