Workload-Aware Approximate Computing Configuration. - Dongning Ma; Rahul Thapa; Xingjian Wang; Xun Jiao; Cong Hao (DATE, 2021)

SpamHD: Memory-Efficient Text Spam Detection using Brain-Inspired Hyperdimensional Computing. - Rahul Thapa; Bikal Lamichhane; Dongning Ma; Xun Jiao (ISVLSI, 2021)

HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing. - Rahul Thapa; Dongning Ma; Xun Jiao (ISVLSI, 2021)

MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing. - Dongning Ma; Rahul Thapa; Xun Jiao (BIBM, 2022)

EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models. - Michael Wornow; Rahul Thapa; Ethan Steinberg; Jason A. Fries; Nigam Shah (NeurIPS, 2023)

The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs. - Michael Wornow; Yizhe Xu; Rahul Thapa; Birju S. Patel; Ethan Steinberg; Scott L. Fleming; Michael A. Pfeffer; Jason A. Fries; Nigam H. Shah (CoRR, 2023)

Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery. - Debadutta Dash; Rahul Thapa; Juan M. Banda; Akshay Swaminathan; Morgan Cheatham; Mehr Kashyap; Nikesh Kotecha; Jonathan H. Chen; Saurabh Gombar; Lance Downing; Rachel Pedreira; Ethan Goh; et al. (CoRR, 2023)

The shaky foundations of large language models and foundation models for electronic health records. - Michael Wornow; Yizhe Xu; Rahul Thapa; Birju S. Patel; Ethan Steinberg; Scott L. Fleming; Michael A. Pfeffer; Jason Alan Fries; Nigam H. Shah (npj Digit. Medicine, 2023)

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction. - Keyvan Rahmani; Rahul Thapa; Pei-Ling Tsou; Satish Casie Chetty; Gina Barnes; Carson K. Lam; Chak Foon Tso (Int. J. Medical Informatics, 2023)

DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record. - Conor K. Corbin; Rob Maclay; Aakash Acharya; Sreedevi Mony; Soumya Punnathanam; Rahul Thapa; Nikesh Kotecha; Nigam H. Shah; Jonathan H. Chen (J. Am. Medical Informatics Assoc., 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)

SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals. - Rahul Thapa; Bryan He; Magnus Ruud Kjær; Hyatt E. Moore IV; Gauri Ganjoo; Emmanuel Mignot; James Zou 001 (ICML, 2024)

OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models. - Jenish Maharjan; Anurag Garikipati; Navan Preet Singh; Leo Cyrus; Mayank Sharma; Madalina G. Ciobanu; Gina Barnes; Rahul Thapa; Qingqing Mao; Ritankar Das (CoRR, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. - Alison Callahan; Duncan C. McElfresh; Juan M. Banda; Gabrielle Bunney; Danton Char; Jonathan H. Chen; Conor K. Corbin; Debadutta Dash; Norman L. Downing; Sneha S. Jain; Nikesh Kotecha; Jonathan Masterson; et al. (CoRR, 2024)

Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language Model. - Kezhen Chen; Rahul Thapa; Rahul Chalamala; Ben Athiwaratkun; Shuaiwen Leon Song; James Zou 001 (CoRR, 2024)

SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning. - Andrew Li; Rahul Thapa; Rahul Chalamala; Qingyang Wu; Kezhen Chen; James Zou (CoRR, 2025)

OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning. - Pan Lu; Bowen Chen; Sheng Liu; Rahul Thapa; Joseph Boen; James Zou 001 (CoRR, 2025)

How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos? - Rahul Thapa; Andrew Li; Qingyang Wu; Bryan He; Yuki Sahashi; Christina Binder; Angela Zhang; Ben Athiwaratkun; Shuaiwen Leon Song; David Ouyang; James Zou 001 (CoRR, 2025)

Disentangling Reasoning and Knowledge in Medical Large Language Models. - Rahul Thapa; Qingyang Wu; Kevin Wu; Harrison Zhang; Angela Zhang; Eric Wu; Haotian Ye; Suhana Bedi; Nevin Aresh; Joseph Boen; Shriya Reddy; Ben Athiwaratkun; et al. (CoRR, 2025)

MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports. - Kevin Wu; Eric Wu; Rahul Thapa; Kevin Wei; Angela Zhang; Arvind Suresh; Jacqueline J. Tao; Min Woo Sun; Alejandro Lozano; James Zou 001 (CoRR, 2025)