Review
Open access
Aug 2026
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...
Xun Jiang, Yu Zhang, A. Abbasi
· ACM Computing Surveys · 0 citations