An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction. - Stefan Larson; Anish Mahendran; Joseph J. Peper; Christopher Clarke; Andrew Lee 001; Parker Hill; Jonathan K. Kummerfeld; Kevin Leach; Michael A. Laurenzano; Lingjia Tang; Jason Mars (EMNLP/IJCNLP (1), 2019)

Outlier Detection for Improved Data Quality and Diversity in Dialog Systems. - Stefan Larson; Anish Mahendran; Andrew Lee 001; Jonathan K. Kummerfeld; Parker Hill; Michael A. Laurenzano; Johann Hauswald; Lingjia Tang; Jason Mars (NAACL-HLT (1), 2019)

Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods. - Stefan Larson; Adrian Cheung; Anish Mahendran; Kevin Leach; Jonathan K. Kummerfeld (COLING, 2020)

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 (EMNLP (1), 2020)

Data Query Language and Corpus Tools for Slot-Filling and Intent Classification Data. - Stefan Larson; Eric Guldan; Kevin Leach (LREC, 2020)

LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction. - Jacob Solawetz; Stefan Larson (EACL, 2021)

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 (ICDAR Workshops (2), 2021)

Evaluating Out-of-Distribution Performance on Document Image Classifiers. - Stefan Larson; Gordon Lim; Yutong Ai; David Kuang; Kevin Leach (NeurIPS, 2022)

Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset. - Stefan Larson; Kevin Leach (SIGDIAL, 2022)

A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog. - Stefan Larson; Kevin Leach (CoRR, 2022)

On Evaluation of Document Classifiers using RVL-CDIP. - Stefan Larson; Gordon Lim; Kevin Leach (EACL, 2023)

Augraphy: A Data Augmentation Library for Document Images. - Alexander Groleau; Kok Wei Chee; Stefan Larson; Samay Maini; Jonathan Boarman (ICDAR (3), 2023)

ShabbyPages: A Reproducible Document Denoising and Binarization Dataset. - Alexander Groleau; Kok Wei Chee; Stefan Larson; Samay Maini; Jonathan Boarman (CoRR, 2023)

On Evaluation of Document Classification using RVL-CDIP. - Stefan Larson; Gordon Lim; Kevin Leach (CoRR, 2023)

Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification. - Zhijian Li; Stefan Larson; Kevin Leach (LREC/COLING, 2024)

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 011; Temi Okotore; Kevin Leach (EMNLP, 2024)

Document Type Classification using File Names. - Zhijian Li; Stefan Larson; Kevin Leach (CoRR, 2024)

Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification. - Gordon Lim; Stefan Larson; Yu Huang 015; Kevin Leach (CoRR, 2024)

Label Errors in the Tobacco3482 Dataset. - Gordon Lim; Stefan Larson; Kevin Leach (CoRR, 2024)

Robust Testing for Deep Learning using Human Label Noise. - Gordon Lim; Stefan Larson; Kevin Leach (DeepTest, 2025)