Abstract: Systems, methods, and computer-readable storage media. A system can include one or more processors to identify a plurality of sections of an article, determine metrics for a plurality of generative models, select one or more generative models of the plurality of generative models, provide a prompt including instructions to generate a section summary for the section, determine a concept found in the article summary that is missing from the article, and provide an output including the article summary and an indicator corresponding to the concept.

Abstract: Systems and methods for generating summaries from text using a generative model are disclosed. The system is configured to access an article; identify section; provide, to one or more generative models, a prompt including instructions to generate a section summary; generate an article summary based on the section summary; determine, from the article summary, a first concept found in the article summary that is missing from the article; determine, using a classifier, for a first sentence included in the article summary, a confidence score; and provide, for presentation at a client device, a document including the article summary.