The article compares different transformer models to see which ones are best at answering questions about documents. They found that models like BERT, ALBERT, RoBERTa, ELECTRA, and Distil-BERT perform differently on this task compared to other tasks like answering questions about regular images. This research helps us understand which models work best for answering questions about text in documents.