Variable-Based Calibration for Machine Learning Classifiers. - Markelle Kelly; Padhraic Smyth (AAAI, 2023)

Capturing Humans' Mental Models of AI: An Item Response Theory Approach. - Markelle Kelly; Aakriti Kumar; Padhraic Smyth; Mark Steyvers (FAccT, 2023)

Perceptions of Linguistic Uncertainty by Language Models and Humans. - Catarina G. Belém; Markelle Kelly; Mark Steyvers; Sameer Singh 001; Padhraic Smyth (EMNLP, 2024)

Benchmark Data Repositories for Better Benchmarking. - Rachel Longjohn; Markelle Kelly; Sameer Singh 001; Padhraic Smyth (NeurIPS, 2024)

Understanding Gender Bias in AI-Generated Product Descriptions. - Markelle Kelly; Mohammad Tahaei; Padhraic Smyth; Lauren Wilcox (FAccT, 2025)

Bayesian Inference for Correlated Human Experts and Classifiers. - Markelle Kelly; Alex Boyd; Samuel Showalter; Mark Steyvers; Padhraic Smyth (CoRR, 2025)