Metacognitive Approach for LLM Deployment: CLEAR Framework

The author proposes the CLEAR framework to equip Large Language Models (LLMs) with metacognitive capabilities, enabling self-aware error identification and correction. By drawing inspiration from human cognition, the approach enhances model interpretability and trustworthiness in deployment.