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NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation

arXiv — cs.CL•Wednesday, November 12, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
On November 12, 2025, the NOTAM-Evolve framework was unveiled, marking a significant advancement in the interpretation of Notices to Airmen (NOTAMs), which are essential for aviation safety. Traditional systems often struggle with the condensed and cryptic language of NOTAMs, leading to challenges in extracting actionable intelligence. NOTAM-Evolve addresses these issues by utilizing a self-evolving large language model (LLM) that autonomously improves its interpretation capabilities. This framework not only enhances accuracy by 30.4% over previous models but also incorporates a knowledge graph-enhanced retrieval module for better data grounding. The introduction of a benchmark dataset containing 10,000 expert-annotated NOTAMs further supports the framework's development and validation. The implications of this innovation are profound, as improved NOTAM interpretation can lead to better operational decisions and enhanced safety in aviation.
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