Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models. - Robert Morabito; Jad Kabbara; Ali Emami (ACL (Findings), 2023)

Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models. - Abhishek Kumar; Robert Morabito; Sanzhar Umbet; Jad Kabbara; Ali Emami (ACL (1), 2024)

STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions. - Robert Morabito; Sangmitra Madhusudan; Tyler McDonald; Ali Emami (EMNLP, 2024)

Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books. - Sangmitra Madhusudan; Robert Morabito; Skye Reid; Nikta Gohari Sadr; Ali Emami (NAACL (Long Papers), 2025)