Research5d ago
LLMs Automate Verification for Autonomous Systems
AIVV deploys LLMs as a deliberative outer loop to automate anomaly classification in diverse control systems. The framework blends neuro‑symbolic reasoning with agentic oversight, tackling noise‑induced nuisance faults that traditional deep learning misses. By replacing human‑in‑the‑loop analysis, it cuts manual V&V effort, enabling faster, scalable validation for autonomous platforms. Researchers plan to benchmark AIVV against existing V&V pipelines.