Document Understanding

Document understanding aims to enable computers to comprehend the content and structure of documents, including text, images, and layouts, to extract key information and answer questions. Current research focuses on improving the efficiency and accuracy of multimodal large language models (MLLMs) for this task, often employing techniques like knowledge distillation, synthetic data generation, and efficient visual processing to handle high-resolution and long-context documents. These advancements are significant because they improve information retrieval, automate document processing tasks, and address privacy concerns through techniques like machine unlearning, ultimately impacting various fields from healthcare to finance.