Papers by Stefano Soatto
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models (2024.emnlp-main)
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Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto
| 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. |
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates (2021.acl-long)
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| Challenge: | Using negative flips, we quantify, reduce and analyze regression errors in deep neural networks. |
| Approach: | They propose to quantify, reduce and analyze regression errors in NLP models by negative flips. |
| Outcome: | The proposed model update regression has a prevalent presence across tasks in the GLUE benchmark. |