CyberCorrect: A Cybernetic Framework for Closed-Loop Self-Correction in Large Language Models

ArXi:2605.17305v1 Announce Type: cross Large language model (LLM) self-correction -- the ability to detect and fix errors in generated outputs -- remains largely ad hoc, relying on generic prompts such as "please reconsider your answer" without systematic error analysis or convergence guarantees. We propose CyberCorrect, a framework that formalizes LLM self-correction as a closed-loop control system grounded in cybernetic theory. The framework models the LLM generator as the plant and