2 citations · 3 across the 5 of their papers we have counts for
5 papers
Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale
Jinghui Liu, Sarvesh Soni, Anthony Nguyen
Large language models (LLMs) can generate or synthesize clinical text for a wide range of applications, from improving clinical documentation to augmenting clinical text analytics.…
Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text
Bushi Xiao, Sarvesh Soni, Daisy Zhe Wang
As large language models are increasingly deployed for clinical text, ensuring they can reliably signal their own uncertainty becomes critical. Most existing uncertainty quantifica…
Toward a Neural Semantic Parsing System for EHR Question Answering
Sarvesh Soni, Kirk Roberts
Clinical semantic parsing (SP) is an important step toward identifying the exact information need (as a machine-understandable logical form) from a natural language query aimed at…
Patient Cohort Retrieval using Transformer Language Models
Sarvesh Soni, Kirk Roberts
We apply deep learning-based language models to the task of patient cohort retrieval (CR) with the aim to assess their efficacy. The task of CR requires the extraction of relevant…
An Evaluation of Two Commercial Deep Learning-Based Information Retrieval Systems for COVID-19 Literature
Sarvesh Soni, Kirk Roberts
The COVID-19 pandemic has resulted in a tremendous need for access to the latest scientific information, primarily through the use of text mining and search tools. This has led to…