A new automated system called MetaKGEnrich enhances large language models by enabling them to self-correct knowledge gaps through knowledge graph population and targeted retrieval. This innovation has shown significant improvements in answer quality across multiple datasets, indicating a step towards more humanlike AI learning capabilities.