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ORCIDAshwin Nayak 0002
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- affiliation: Stanford University, CA, USA
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- Ashwin Nayak 0001
![[0000-0001-9866-9316]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9866-9316")
— University of Waterloo, Waterloo, ON, Canada
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2020 – today
- 2024
[j1]Thomas Savage, Ashwin Nayak, Robert Gallo, Ekanath Rangan, Jonathan H. Chen:
Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine. npj Digit. Medicine 7(1) (2024)- [c1]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, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah:
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. AAAI 2024: 22021-22030 - 2023
- [i3]Thomas Savage, Ashwin Nayak, Robert Gallo, Ekanath Rangan, Jonathan H. Chen:
Diagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in Medicine. CoRR abs/2308.06834 (2023) - [i2]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, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah:
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. CoRR abs/2308.14089 (2023) - [i1]Maia Kotelanski, Robert Gallo, Ashwin Nayak, Thomas Savage:
Methods to Estimate Large Language Model Confidence. CoRR abs/2312.03733 (2023)
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