Google AI Researchers Propose a Noise-Aware Training Method (NAT) for Layout-Aware Language Models

In document processing, particularly visually rich documents (VRDs), the need for efficient information extraction (IE) has become increasingly critical. VRDs, such as invoices, utility bills, and insurance quotes, are ubiquitous in business workflows, often presenting similar information in varying layouts and formats. Automating the extraction of pertinent data from these documents can significantly reduce the […]

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