3 citations · 5 across the 7 of their papers we have counts for
7 papers
A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models
Maria Mahbub, Gregory M. Dams, Josh Arnold +9
Large language models (LLMs) show promise for extracting clinically meaningful information from unstructured health records, yet their translation into real-world settings is const…
Visual Word Sense Disambiguation with CLIP through Dual-Channel Text Prompting and Image Augmentations
Shamik Bhattacharya, Daniel Perkins, Yaren Dogan +3
Ambiguity poses persistent challenges in natural language understanding for large language models (LLMs). To better understand how lexical ambiguity can be resolved through the vis…
HARNESS: Human-Agent Risk Navigation and Event Safety System for Proactive Hazard Forecasting in High-Risk DOE Environments
Ran Elgedawy, Sanjay Das, Ethan Seefried +7
Operational safety at mission-critical work sites is a top priority given the complex and hazardous nature of daily tasks. This paper presents the Human-Agent Risk Navigation and E…
Advancing NLP Security by Leveraging LLMs as Adversarial Engines
Sudarshan Srinivasan, Maria Mahbub, Amir Sadovnik
This position paper proposes a novel approach to advancing NLP security by leveraging Large Language Models (LLMs) as engines for generating diverse adversarial attacks. Building u…
Leveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach
Maria Mahbub, Gregory M. Dams, Sudarshan Srinivasan +4
Substance use disorder (SUD) poses a major concern due to its detrimental effects on health and society. SUD identification and treatment depend on a variety of factors such as sev…
Dynamic Q&A of Clinical Documents with Large Language Models
Ran Elgedawy, Ioana Danciu, Maria Mahbub +1
Electronic health records (EHRs) house crucial patient data in clinical notes. As these notes grow in volume and complexity, manual extraction becomes challenging. This work introd…
Question-Answering System Extracts Information on Injection Drug Use from Clinical Notes
Maria Mahbub, Ian Goethert, Ioana Danciu +9
Background: Injection drug use (IDU) is a dangerous health behavior that increases mortality and morbidity. Identifying IDU early and initiating harm reduction interventions can be…