Boosting LLMs: Metacognitive Skills for Enhanced Performance and Alignment

This research explores the exciting potential of enhancing Large Language Models with metacognitive skills, mirroring human error-checking abilities. By incorporating these skills, we can anticipate significant improvements in error reduction and more reliable performance, alongside advancing the crucial challenge of Alignment.