Papers by Praneet Pabolu
FlexDoc: Parameterized Sampling for Diverse Multilingual Synthetic Documents for Training Document Understanding Models (2025.emnlp-industry)
Copied to clipboard
Karan Dua, Hitesh Laxmichand Patel, Puneet Mittal, Ranjeet Gupta, Amit Agarwal, Praneet Pabolu, Srikant Panda, Hansa Meghwani, Graham Horwood, Fahad Shah
| Challenge: | Document understanding models require large, diverse, and well-annotated datasets that can cost millions of dollars to collect and maintain. |
| Approach: | They propose a scalable synthetic data generation framework that combines Stochastic Schemas and Parameterized Sampling to produce realistic, multilingual semi-structured documents with rich annotations. |
| Outcome: | Experiments on key information extraction tasks show that the proposed framework improves the absolute F1 score by up to 11% while reducing annotation effort by over 90% compared to traditional hard-template methods. |