Structured Generation of Long-Form Text

원문 (중국어)

The description relates to computer-assisted generation of long-form text by creating a schema that includes a declarative and machine-readable data format. Based on the schema, processes iteratively generate suggested code to populate a specification that provides the narrative framework for the long-form text. The specification includes structure and substance for inclusion in the long-form text. The interactive nature of the specification development allows a user to progressively update and confirm automatically generated suggestions. In this manner, the specification is updated according to approved code selected from the iteratively generated code. Additional processes serialize the specification to generate multiple unit specifications. A large language model (LLM) is used to generate the long-form text based on the unit specifications.