1 citations · 1 across the 4 of their papers we have counts for
4 papers
Up to 36x Speedup: Mask-based Parallel Inference Paradigm for Key Information Extraction in MLLMs
Xinzhong Wang, Ya Guo, Jing Li +5
Key Information Extraction (KIE) from visually-rich documents (VrDs) is a critical task, for which recent Large Language Models (LLMs) and Multi-Modal Large Language Models (MLLMs)…
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding
Chong Zhang, Yi Tu, Yixi Zhao +8
Modeling and leveraging layout reading order in visually-rich documents (VrDs) is critical in document intelligence as it captures the rich structure semantics within documents. Pr…
UNER: A Unified Prediction Head for Named Entity Recognition in Visually-rich Documents
Yi Tu, Chong Zhang, Ya Guo +4
The recognition of named entities in visually-rich documents (VrD-NER) plays a critical role in various real-world scenarios and applications. However, the research in VrD-NER face…
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
Chong Zhang, Ya Guo, Yi Tu +5
Recent advances in multimodal pre-trained models have significantly improved information extraction from visually-rich documents (VrDs), in which named entity recognition (NER) is…