arXiv cs.LGPaper
FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models
This tackles a real problem: accuracy metrics alone fail for physics-governed domains where a numerically close prediction can still violate operational constraints or produce nonsense. The protocol is designed for flight prediction but generalizes to any safety-critical task (robotics, medicine, autonomous systems). If you are deploying LLMs in constrained environments, this evaluation framework is immediately useful. Not a model or agent, but a tool that changes how you measure readiness.