Document AI

Document AI gathers several tasks, such as Document Classification, Document Information Extraction, Document reconstruction, Document Captioning, Document summarization, and Document Question Answering. What is notable is that (1) Multipage VrDU datasets have recently emerged and are steadily increasing .colored { background-color: rgba(255, 235, 59, 0.6); padding: 0 1px; font-weight: bold; border-radius: 4px; box-shadow: 0 0 8px rgba(255, 235, 59, 0.6); display: inline; line-height: 1.5; } , indicating a shift in the field towards this type of task....

Most current document processing models often struggle with maintaining context and coherence across multiple pages, leading to fragmented and inaccurate outputs. Some recent models have developed techniques to handle a document as a whole, and not page by page .colored { background-color: rgba(255, 235, 59, 0.6); padding: 0 1px; font-weight: bold; border-radius: 4px; box-shadow: 0 0 8px rgba(255, 235, 59, 0.6); display: inline; line-height: 1.5; } . However, these advancements are still in their early stages and face several challenges....

We review in this post the literature on Vision-Language Models for fine-grained images (documents). .bigger { font-size: 1.5em; padding: 0 1px; font-weight: bold; border-radius: 4px; display: inline-block; line-height: 1.5; } .bigger::before { content: "\A"; white-space: pre; } What are VLMs? .bigger { font-size: 1.5em; padding: 0 1px; font-weight: bold; border-radius: 4px; display: inline-block; line-height: 1.5; } .bigger::before { content: "\A"; white-space: pre; } Vision-Language Models ....