Tag: document understanding

AI Machine Learning & Data Science Research

Snowflake’s Arctic-TILT: Matching the Power of Models 1,000x Larger in Document Understanding

A Snowflake research team presents Arctic-TILT, a model that is specifically engineered for large-scale, cost-effective deployment while also being adaptable to various domains. It achieves state-of-the-art performance on benchmarks for both business and long documents.

AI Machine Learning & Data Science Nature Language Tech Research

Adobe’s UDoc Captures Cross-Modal Correlations in a Unified Pretraining Framework to Improve Document Understanding

In the new paper Unified Pretraining Framework for Document Understanding, an Adobe Research and Adobe Document Cloud team presents a unified pretraining framework for document understanding that enables cross-modal connections, relevant information highlighting in both visual and textual modalities, and cross-modal connections. UDoc achieves impressive performance on various downstream tasks.