Extracting Comprehensive Lists of Objects from Long Documents using Retrieval-Augmented Language Models

A novel methodology called L3X that tackles the challenge of extracting long lists of object entities from long texts, such as entire books, by combining recall-oriented generation using large language models with precision-oriented scrutinization.