Yu Zhang

A Survey on Transformer-Based Long-Range Dependency Modeling in Intelligent Document Understanding

Transformers have revolutionized Natural Language Processing (NLP) by capturing complex patterns in data, but they still face challenges in modeling long-range dependency, especially in tasks like Intelligent Document Understanding (IDU), where maintaining coherence across lengthy and varied documents is crucial. This...