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ORCIDSuhana Bedi
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2020 – today
- 2025
[c1]Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher Ré, Sanmi Koyejo, Nigam Shah:
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data. ICLR 2025- [i8]Karthik S. Vedula, Annika Gupta, Akshay Swaminathan, Iván López, Suhana Bedi, Nigam H. Shah:
Distilling Large Language Models for Efficient Clinical Information Extraction. CoRR abs/2501.00031 (2025) - [i7]Olawale Salaudeen, Anka Reuel, Ahmed Ahmed, Suhana Bedi, Zachary Robertson, Sudharsan Sundar, Ben Domingue, Angelina Wang, Sanmi Koyejo:
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation. CoRR abs/2505.10573 (2025) - [i6]Rahul Thapa, Qingyang Wu, Kevin Wu, Harrison Zhang, Angela Zhang, Eric Wu, Haotian Ye, Suhana Bedi, Nevin Aresh, Joseph Boen, Shriya Reddy, Ben Athiwaratkun, Shuaiwen Leon Song, James Zou:
Disentangling Reasoning and Knowledge in Medical Large Language Models. CoRR abs/2505.11462 (2025) - [i5]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:
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. CoRR abs/2505.23802 (2025) - [i4]Suhana Bedi, Iddah Mlauzi, Daniel Shin, Sanmi Koyejo, Nigam H. Shah:
The Optimization Paradox in Clinical AI Multi-Agent Systems. CoRR abs/2506.06574 (2025) - 2024
- [i3]Ethan Steinberg, Michael Wornow, Suhana Bedi, Jason Alan Fries, Matthew B. A. McDermott, Nigam H. Shah:
meds_reader: A fast and efficient EHR processing library. CoRR abs/2409.09095 (2024) - [i2]Elyas Obbad, Iddah Mlauzi, Brando Miranda, Rylan Schaeffer, Kamal Obbad, Suhana Bedi, Sanmi Koyejo:
ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment. CoRR abs/2410.18194 (2024) - [i1]Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher Ré, Sanmi Koyejo, Nigam H. Shah:
Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs. CoRR abs/2412.16178 (2024)
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