Automatic text summarization is a method to create short and accurate summaries of long text documents. Multi-document summarization focuses on summarizing multiple related documents. Popular techniques include graph-based, cluster-based, and deep learning-based methods. Evaluation metrics help researchers understand the effectiveness of these approaches.