DAVE: A VLM Vision Encoder for Document Understanding and Web Agents

This article introduces DAVE, a Vision-Language Model (VLM) vision encoder designed for document understanding and web agent applications. The focus is on the technical aspects of the encoder and its potential applications in processing documents and enabling web agents to interact with visual information. The source being ArXiv suggests this is a research paper, likely detailing the architecture, training, and evaluation of DAVE.