Papers by Kulbhushan Pachauri

1 papers
FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding (2025.coling-industry)

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Challenge: Recent advances in vision-language models have significantly enhanced performance across various natural language processing and computer vision tasks.
Approach: They propose a few shot domain adapting graph (FS-DAG) that leverages domain-specific and language/vision specific backbones within a modular framework to adapt to diverse document types with minimal data.
Outcome: The proposed model is highly performant with less than 90M parameters, making it well-suited for complex real-world applications for information extraction tasks where computational resources are limited.

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