Data Standardization

Data standardization aims to create consistent and comparable datasets across diverse sources, improving the reliability and efficiency of data analysis and machine learning. Current research heavily utilizes large language models (LLMs) to automate this process, focusing on applications like standardizing clinical data for AI, sensor data for IoT positioning, and text data for various tasks including scientific paper review and ad generation. This work is crucial for advancing numerous fields, enabling more robust AI systems, improved data analysis, and more efficient workflows across various scientific and industrial domains.