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Found 5 papers, 0 papers with code
Inferring Properties of Graph Neural Networks
To tackle the challenge of varying input structures in GNNs, GNNInfer first identifies a set of representative influential structures that contribute significantly towards the prediction of a GNN.
Improving Document Image Understanding with Reinforcement Finetuning
In this paper, we investigate the problem of improving the performance of Artificial Intelligence systems in understanding document images, especially in cases where training data is limited.
Jointly Learning Span Extraction and Sequence Labeling for Information Extraction from Business Documents
This paper introduces a new information extraction model for business documents.
A Span Extraction Approach for Information Extraction on Visually-Rich Documents
Firstly, we introduce a new query-based IE model that employs span extraction instead of using the common sequence labeling approach.
Revising FUNSD dataset for key-value detection in document images
FUNSD is one of the limited publicly available datasets for information extraction from document im-ages.
