Abstract: Document Information Extraction aims to extract entities and relationships from visually rich documents. Traditional methods require significant annotation and lack generality. In this paper ...

Abstract: Knowledge-based Visual Question Answering (VQA) is a challenging task that requires models to access external knowledge for reasoning. Large Language Models (LLMs) have recently been ...

Early in the Covid-19 pandemic, the governor of New Jersey made an unusual admission: He’d run out of COBOL developers. The state’s unemployment insurance systems were written in the 60-year-old ...

In vision-language models (VLMs), visual tokens usually consume a significant amount of computational overhead, despite their sparser information density compared to text tokens. To address this, ...