Identification of Cancer Entities in Clinical Text Combining Transformers with Dictionary Features. - John D. Osborne; Tobias O'Leary; James Del Monte; Kuleen Sasse (IberLEF@SEPLN, 2020)

Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models. - Carlos Alejandro Aguirre; Kuleen Sasse; Isabel Cachola; Mark Dredze (CoRR, 2023)

To Burst or Not to Burst: Generating and Quantifying Improbable Text. - Kuleen Sasse; Samuel Barham; Efsun Sarioglu Kayi; Edward W. Staley (CoRR, 2024)

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation. - Shan Chen 004; Mingye Gao; Kuleen Sasse; Thomas Hartvigsen; Brian Anthony; Lizhou Fan; Hugo J. W. L. Aerts; Jack Gallifant; Danielle S. Bitterman (CoRR, 2024)

Disease Entity Recognition and Normalization is Improved with Large Language Model Derived Synthetic Normalized Mentions. - Kuleen Sasse; Shinjitha Vadlakonda; Richard E. Kennedy; John D. Osborne (CoRR, 2024)

Mapping Bias in Vision Language Models: Signposts, Pitfalls, and the Road Ahead. - Kuleen Sasse; Shan Chen 004; Jackson Pond; Danielle S. Bitterman; John D. Osborne (CoRR, 2024)

Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats. - Kuleen Sasse; Carlos Alejandro Aguirre; Isabel Cachola; Sharon Levy; Mark Dredze (ACL (1), 2025)

Sparse Autoencoder Features for Classifications and Transferability. - Jack Gallifant; Shan Chen 004; Kuleen Sasse; Hugo J. W. L. Aerts; Thomas Hartvigsen; Danielle S. Bitterman (CoRR, 2025)

Controllable Hybrid Captioner for Improved Long-form Video Understanding. - Kuleen Sasse; Efsun Sarioglu Kayi; Arun Reddy (CoRR, 2025)