Papers by Ravi Satzoda

1 papers
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models (2024.emnlp-main)

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Challenge: Existing methods for visual document understanding are limited by training on a small-scale, curated document dataset, compromising generalizability of VDU models to diverse documents.
Approach: They propose a framework that integrates external document knowledge into the data generation process.
Outcome: The proposed framework produces high-quality annotations and surpasses direct knowledge distillation approach.

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