Refined Schema

Refined schema research focuses on improving the efficiency and accuracy of information extraction and processing from complex data sources, particularly in natural language processing and database interactions. Current efforts center on developing novel methods for schema linking, leveraging large language models (LLMs) to understand and utilize schema information more effectively, and employing techniques like prompt engineering and schema augmentation to enhance performance. This work is significant for advancing the capabilities of LLMs in handling complex data structures and improving the usability of databases and knowledge graphs for a wider range of applications.