Large Language Models Encode Clinical Knowledge. - Karan Singhal; Shekoofeh Azizi; Tao Tu 001; S. Sara Mahdavi; Jason Wei; Hyung Won Chung; Nathan Scales; Ajay Kumar Tanwani; Heather Cole-Lewis; Stephen Pfohl; Perry Payne; Martin Seneviratne; et al. (CoRR, 2022)

Towards Expert-Level Medical Question Answering with Large Language Models. - Karan Singhal; Tao Tu 001; Juraj Gottweis; Rory Sayres; Ellery Wulczyn; Le Hou; Kevin Clark; Stephen Pfohl; Heather Cole-Lewis; Darlene Neal; Mike Schaekermann; Amy Wang; et al. (CoRR, 2023)

Using generative AI to investigate medical imagery models and datasets. - Oran Lang; Doron Yaya-Stupp; Ilana Traynis; Heather Cole-Lewis; Chloe R. Bennett; Courtney Lyles; Charles Lau; Christopher Semturs; Dale R. Webster; Gregory S. Corrado; Avinatan Hassidim; Yossi Matias; et al. (CoRR, 2023)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. - Stephen R. Pfohl; Heather Cole-Lewis; Rory Sayres; Darlene Neal; Mercy Nyamewaa Asiedu; Awa Dieng; Nenad Tomasev; Qazi Mamunur Rashid; Shekoofeh Azizi; Negar Rostamzadeh; Liam G. McCoy; Leo Anthony Celi; et al. (CoRR, 2024)

Interdisciplinary Expertise to Advance Equitable Explainable AI. - Chloe R. Bennett; Heather Cole-Lewis; Stephanie Farquhar; Naama Haamel; Boris Babenko; Oran Lang; Mat Fleck; Ilana Traynis; Charles Lau; Ivor Horn; Courtney Lyles (CoRR, 2024)

Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness. - Stephen R. Pfohl; Natalie Harris; Chirag Nagpal; David Madras; Vishwali Mhasawade; Olawale Salaudeen; Awa Dieng; Shannon Sequeira; Santiago Eduardo Arciniegas; Lillian Sung; Nnamdi Ezeanochie; Heather Cole-Lewis; et al. (CoRR, 2025)

BENYO-S2ST-Corpus-1: A Bilingual English-to-Yoruba Direct Speech-to-Speech Translation Corpus. - Emmanuel Adetiba; Abdultaofeek Abayomi; Jules Raymond Kala; Ayodele Hephzibah Ifijeh; Oluwatobi Emmanuel Dare; Olabode Idowu-Bismark; Gabriel O. Sobola; Joy N. Adetiba; Monsurat Adepeju Lateef; Heather Cole-Lewis (CoRR, 2025)