7 citations · 7 across the 1 of their papers we have counts for
3 papers
Methods to Estimate Large Language Model Confidence
Maia Kotelanski, Robert Gallo, Ashwin Nayak +1
Large Language Models have difficulty communicating uncertainty, which is a significant obstacle to applying LLMs to complex medical tasks. This study evaluates methods to measure…
Diagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in Medicine
Thomas Savage, Ashwin Nayak, Robert Gallo +2
One of the major barriers to using large language models (LLMs) in medicine is the perception they use uninterpretable methods to make clinical decisions that are inherently differ…
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Scott L. Fleming, Alejandro Lozano, William J. Haberkorn +27
The ability of large language models (LLMs) to follow natural language instructions with human-level fluency suggests many opportunities in healthcare to reduce administrative burd…