Multi-document summarization is a technology that helps extract important information from multiple texts on the same topic by compressing it. It has become a new focus of research due to the vast amount of information available on the internet. The background, relationship with other language processing technologies, and current state of the art in multi-document summarization are discussed in the paper. Key technologies and research methods for multi-document summarization are proposed, and the future features of this technology are forecasted.