Stefan Larson
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | FlAIRS | Towards Fair Pay and Equal Work - Imposing View Time Limits in Crowdsourced Image Classification. | Gordon Lim, Stefan Larson, Yu Huang, Kevin Leach |
| 2025 | DocEng | Spurious Cues in RVL-CDIP and Tobacco3482 Document Classification: The Case of ID Codes. | Stefan Larson, Sharad Duwal, Brian Vilnrotter, Gayatri Chakkithara, Vedant Padwal, Kevin Leach |
| 2025 | DocEng | Document Classification using File Names. | Zhijian Li, Stefan Larson, Kevin Leach |
| 2024 | COLING | Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification. | Zhijian Li, Stefan Larson, Kevin Leach |
| 2024 | EMNLP | De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP. | Stefan Larson, Nicole Lima, Santiago Diaz, Amogh Manoj Joshi, Siddharth Betala, Jamiu Suleiman, Yash Mathur, Kaushal Prajapati, Ramla Alakraa, Junjie Shen, Temi Okotore, Kevin Leach |
| 2023 | EACL | On Evaluation of Document Classifiers using RVL-CDIP. | Stefan Larson, Gordon Lim, Kevin Leach |
| 2023 | ICDAR | Augraphy: A Data Augmentation Library for Document Images. | Alexander Groleau, Kok Wei Chee, Stefan Larson, Samay Maini, Jonathan Boarman |
| 2022 | SIGdial | Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset. | Stefan Larson, Kevin Leach |
| 2021 | EACL | LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction. | Jacob Solawetz, Stefan Larson |
| 2021 | ICDAR | Exploring Out-of-Distribution Generalization in Text Classifiers Trained on Tobacco-3482 and RVL-CDIP. | Stefan Larson, Navtej Singh, Saarthak Maheshwari, Shanti Stewart, Uma Krishnaswamy |
| 2020 | COLING | Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods. | Stefan Larson, Adrian Cheung, Anish Mahendran, Kevin Leach, Jonathan K. Kummerfeld |
| 2020 | EMNLP | Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness. | Stefan Larson, Anthony Zheng, Anish Mahendran, Rishi Tekriwal, Adrian Cheung, Eric Guldan, Kevin Leach, Jonathan K. Kummerfeld |
| 2020 | LREC | Data Query Language and Corpus Tools for Slot-Filling and Intent Classification Data. | Stefan Larson, Eric Guldan, Kevin Leach |
| 2019 | EMNLP | An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. | Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars |
| 2019 | NAACL | Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. | Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars |