Alyssa Unell

According to our database, Alyssa Unell authored at least 12 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Not Another EHR: Reimagining Physician Information Needs with Generative AI Technology.

Ruican Rachel Zhong, Jiachen Li, Gary Hsieh, David W. McDonald, Selin S. Everett, Alyssa Unell, Jonathan Carlson, Katie Claveau, Noel Codella, Khalil Malik, Scott Mackie, Eduardo Olvera, T. Scott Saponas, Eric Horvitz, David C. Rhew, James Weinstein, Jacob Gross, Amanda K. Hall

CoRR, April, 2026

Adoption and Use of LLMs at an Academic Medical Center.

Nigam H. Shah, Nerissa Ambers, Abby Pandya, Timothy Keyes, Juan M. Banda, Srikar Nallan, Carlene Lugtu, Artem A. Trotsyuk, Suhana Bedi, Alyssa Unell, Miguel Fuentes, François Grolleau, Sneha S. Jain, Jonathan H. Chen, Dev Dash, Danton Char, Aditya Sharma, Duncan McElfresh, Patrick Scully, Vishanthan Kumar, Connor O'Brien, Satchi Mouniswamy, Elvis Jones, Krishna Jasti, Gunavathi Mannika Lakshmanan, Sree Ram Akula, Varun Kumar Singh, Ramesh Rajmanickam, Sudhir Sinha, Vicky Zhou, Xu Wang, Bilal Mawji, Joshua Ge, Wencheng Li, Travis Lyons, Jarrod Helzer, Vikas Kakkar, Ramesh Powar, Darren Batara, Cheryl Cordova, William Frederick III, Olivia Tang, Phoebe Morgan, April S. Liang, Stephen P. Ma, Shivam Vedak, Dong-han Yao, Akshay Swaminathan, Mehr Kashyap, Brian Ng, Jamie Hellman, Nikesh Kotecha, Christopher Sharp, Gretchen Brown, Christian Lindmark, Anurang Revri, Michael A. Pfeffer

CoRR, February, 2026

Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation.

Jiachen Li, Amanda K. Hall, Ruican Rachel Zhong, Selin S. Everett, Alyssa Unell, Hanwen Xu, Matthias Blondeel, Jonathan Carlson, Katie Claveau, Thulasee Jose, Tristan Naumann, David C. Rhew, Naiteek Sangani, Frank Tuan, James Weinstein, Varun Mishra, Elizabeth D. Mynatt, T. Scott Saponas, Hao Qiu, Leonardo Schettini, Joseph Samuel Preston, Aiden Gu, Naoto Usuyama, Zelalem Gero, Cliff Wong, Noel Christopher Codella, Hoifung Poon, Shrey Jain, Matthew P. Lungren, Eric Horvitz

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Structured Prompting Enables More Robust Evaluation of Language Models.

Asad Aali, Muhammad Ahmed Mohsin, Vasiliki Bikia, Arnav Singhvi, Richard Gaus, Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Yifan Mai, Jordan Cahoon, Michael A. Pfeffer, Roxana Daneshjou, Sanmi Koyejo, Emily Alsentzer, Christopher Potts, Nigam H. Shah, Akshay S. Chaudhari

CoRR, November, 2025

DISCO: A Browser-Based Privacy-Preserving Framework for Distributed Collaborative Learning.

Julien Tuan Tu Vignoud, Valérian Rousset, Hugo El Guedj, Ignacio Aleman, Walid Bennaceur, Batuhan Faik Derinbay, Eduard Durech, Damien Gengler, Lucas Giordano, Felix Grimberg, Franziska Lippoldt, Christina Kopidaki, Jiafan Liu, Lauris Lopata, Nathan Maire, Paul Mansat, Martin Milenkoski, Emmanuel Omont, Günes Özgün, Mina Petrovic, Francesco Posa, Morgan Ridel, Giorgio Savini, Marcel Torne, Lucas Trognon, Alyssa Unell, Olena Zavertiaieva, Sai Praneeth Karimireddy, Tahseen Rabbani, Mary-Anne Hartley, Martin Jaggi

CoRR, November, 2025

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation.

Alyssa Unell, Noel C. F. Codella, Sam Preston, Peniel N. Argaw, Wen-Wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P. Lungren, Hoifung Poon

CoRR, September, 2025

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, Mert Oez, Hao Qiu, Shrey Jain, Leonardo Schettini, Mehr Kashyap, Jason Alan Fries, Akshay Swaminathan, Philip Chung, Fateme Nateghi, Asad Aali, Ashwin Nayak, Shivam Vedak, Sneha S. Jain, Birju S. Patel, Oluseyi Fayanju, Shreya J. Shah, Ethan Goh, Dong-han Yao, Brian Soetikno, Eduardo Pontes Reis, Sergios Gatidis, Vasu Divi, Robson Capasso, Rachna Saralkar, Chia-Chun Chiang, Jenelle A. Jindal, Tho Pham, Faraz Ghoddusi, Steven Lin, Albert S. Chiou, Christy Hong, Mohana Roy, Michael F. Gensheimer, Hinesh Patel, Kevin Schulman, Dev Dash, Danton Char, Lance Downing, François Grolleau, Kameron C. Black, Bethel Mieso, Aydin Zahedivash, Wen-Wai Yim, Harshita Sharma, Tony Lee, Hannah Kirsch, Jennifer Lee, Nerissa Ambers, Carlene Lugtu, Aditya Sharma, Bilal Mawji, Alex Alekseyev, Vicky Zhou, Vikas Kakkar, Jarrod Helzer, Anurang Revri, Yair Bannett, Roxana Daneshjou, Jonathan H. Chen, Emily Alsentzer, Keith E. Morse, Nirmal Ravi, Nima Aghaeepour, Vanessa Kennedy, Akshay Chaudhari, Thomas Wang, Sanmi Koyejo, Matthew P. Lungren, Eric Horvitz, Percy Liang, Mike Pfeffer, Nigam H. Shah

CoRR, May, 2025

TIMER: temporal instruction modeling and evaluation for longitudinal clinical records.

Hejie Cui, Alyssa Unell, Bowen Chen, Jason Alan Fries, Emily Alsentzer, Sanmi Koyejo, Nigam H. Shah

npj Digit. Medicine, 2025

2024

μ-Bench: A Vision-Language Benchmark for Microscopy Understanding.

Alejandro Lozano, Jeffrey J. Nirschl, James Burgess, Sanket Rajan Gupte, Yuhui Zhang, Alyssa Unell, Serena Yeung-Levy

CoRR, 2024

Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations.

Rylan Schaeffer, Victor Lecomte, Dhruv Bhandarkar Pai, Andres Carranza, Berivan Isik, Alyssa Unell, Mikail Khona, Thomas E. Yerxa, Yann LeCun, SueYeon Chung, Andrey Gromov, Ravid Shwartz-Ziv, Sanmi Koyejo

CoRR, 2024

Why are Visually-Grounded Language Models Bad at Image Classification?

Yuhui Zhang, Alyssa Unell, Xiaohan Wang, Dhruba Ghosh, Yuchang Su, Ludwig Schmidt, Serena Yeung

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding.

Alejandro Lozano, Jeffrey J. Nirschl, James Burgess, Sanket Rajan Gupte, Yuhui Zhang, Alyssa Unell, Serena Yeung

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024