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Synthetic Data

We develop techniques for generating high-quality synthetic training data, particularly focused on document and form understanding. Our methods improve model robustness and reduce reliance on expensive manual annotation.

Key Research Topics

Data Generation PipelinesDomain RandomizationAnnotation AutomationQuality Assurance

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