Large language models prompted with a graph encoding of airspace reliably generate non-interacting aircraft scenarios and can control the type and location of interactions, with the best models near zero errors.
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, and Bolei Zhou
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AirTrafficGen: Configurable Air Traffic Scenario Generation with Large Language Models
Large language models prompted with a graph encoding of airspace reliably generate non-interacting aircraft scenarios and can control the type and location of interactions, with the best models near zero errors.