AI Large-Model Wave and Transformation Guide
May 25, 2026 · Artificial Intelligence
Applying Qian Xuesen’s Engineering Cybernetics to Suppress Hallucinations in Large Language Models
The paper formulates LLM hallucination as systemic noise, builds a forward‑feedback‑adaptive control loop using Prompt engineering, Retrieval‑Augmented Generation and a hallucination detector, proves global asymptotic stability via Lyapunov theory, designs an LQR optimal controller and an MRAC adaptive scheme, and demonstrates up to 5 dB SNR improvement and sub‑5% hallucination rates on standard benchmarks.
Adaptive ControlEngineering CyberneticsHallucination Mitigation
0 likes · 24 min read