Methods to Estimate Large Language Model Confidence. - Maia Kotelanski; Robert Gallo; Ashwin Nayak 002; Thomas Savage (CoRR, 2023)

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. - Scott L. Fleming; Alejandro Lozano; William J. Haberkorn; Jenelle A. Jindal; Eduardo Pontes Reis; Rahul Thapa; Louis Blankemeier; Julian Z. Genkins; Ethan Steinberg; Ashwin Nayak 002; Birju S. Patel; Chia-Chun Chiang; et al. (AAAI, 2024)

Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine. - Thomas Savage; Ashwin Nayak 002; Robert Gallo; Ekanath Rangan; Jonathan H. Chen (npj Digit. Medicine, 2024)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. - Suhana Bedi; Hejie Cui; Miguel Fuentes; Alyssa Unell; Michael Wornow; Juan M. Banda; Nikesh Kotecha; Timothy Keyes; Yifan Mai 001; Mert Oez; Hao Qiu; Shrey Jain; et al. (CoRR, 2025)