Summarization

Abstract generation is an important task in natural language processing, aiming to compress one or more documents into a shorter version while retaining the core meaning of the original input. This task helps users quickly understand large amounts of text content and improve information processing efficiency by extracting key information and themes. Its applications are extensive, including news summaries, scientific literature reviews, and business report simplifications, making it highly valuable in practical use.