From RAGs to riches: adding complexity to the AI research process wIth large-scale Chinese text.

• In Event: LLMs and Generative AI

Brief Overview

Using text data on Party and government institutions in China, we evaluate the logical capability and reliabiliyy of Retrieval Augmented Generation techniques for research on local elite formation and mobility, while doing so to scale.

Authors

• Pierre F. Landry, Chinese University of Hong Kong

• Zheng Zhang, Chinese University of Hong Kong