Papers by Kulbhushan Pachauri
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. |