A Compositional Framework for Scientific Model Augmentation. - Micah Halter; Christine Herlihy; James P. Fairbanks (ACT, 2019)

MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain. - Christine Herlihy; Rachel Rudinger (ACL/IJCNLP (2), 2021)

Networked Restless Bandits with Positive Externalities. - Christine Herlihy; John P. Dickerson (AAAI, 2023)

Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting. - Christine Herlihy; Aviva Prins; Aravind Srinivasan; John P. Dickerson (KDD, 2023)

Data Contamination Through the Lens of Time. - Manley Roberts; Himanshu Thakur; Christine Herlihy; Colin White; Samuel Dooley (CoRR, 2023)

A structured regression approach for evaluating model performance across intersectional subgroups. - Christine Herlihy; Kimberly Truong; Alexandra Chouldechova; Miroslav Dudík (FAccT, 2024)

To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination. - Manley Roberts; Himanshu Thakur; Christine Herlihy; Colin White; Samuel Dooley (ICLR, 2024)

On Overcoming Miscalibrated Conversational Priors in LLM-based ChatBots. - Christine Herlihy; Jennifer Neville; Tobias Schnabel; Adith Swaminathan (UAI, 2024)

Algorithmic Decision-making and Model Evaluation in Socially Consequential Domains. - Christine Herlihy (2024)

Advancing African American and hispanic health literacy with a bilingual, personalized, prevention smartphone application. - Neil Sehgal; Devlon Nicole Jackson; Christine Herlihy; John Dickerson 001; Cynthia Baur (Health Informatics J., 2025)