Structured Output Generation

Structured Output Generation is a crucial task for large language models, aiming to produce output content that meets specific structural requirements. This task not only demands strong natural language processing capabilities but also requires precise understanding of structured data formats to ensure the accuracy and standardization of the output content. Its goal is to enhance the usability and readability of the generated content, which is widely applied in areas such as automatic summarization, code generation, and table filling, demonstrating significant application value.