2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2025★ 1 cited
Rare Disease Differential Diagnosis with Large Language Models at Scale: From Abdominal Actinomycosis to Wilson's Disease
Elliot Schumacher, Dhruv Naik, Anitha Kannan
Large language models (LLMs) have demonstrated impressive capabilities in disease diagnosis. However, their effectiveness in identifying rarer diseases, which are inherently more c…
cs.CL2023★ 1 cited
Extrinsically-Focused Evaluation of Omissions in Medical Summarization
Elliot Schumacher, Daniel Rosenthal, Dhruv Naik +4
Large language models (LLMs) have shown promise in safety-critical applications such as healthcare, yet the ability to quantify performance has lagged. An example of this challenge…
cs.CL2021★ 2 cited
How well do you know your summarization datasets?
Priyam Tejaswin, Dhruv Naik, Pengfei Liu
State-of-the-art summarization systems are trained and evaluated on massive datasets scraped from the web. Despite their prevalence, we know very little about the underlying charac…