4 papers
PVminerLLM2: Improving Structured Extraction of Patient Voice via Preference Optimization
Samah Fodeh, Linhai Ma, Ganesh Puthiaraju +7
Motivation: Patient-generated text contains critical information on patients' lived experiences, social context, and care engagement, but remains largely unstructured, limiting its…
TAB-PO: Preference Optimization with a Token-Level Adaptive Barrier for Token-Critical Structured Generation
Samah Fodeh, Linhai Ma, Ganesh Puthiaraju +8
Direct Preference Optimization (DPO) is effective for offline alignment but poorly matched to ontology-driven structured prediction, where preferred and rejected JSON often differ…
PVminerLLM: Structured Extraction of Patient Voice from Patient-Generated Text using Large Language Models
Samah Fodeh, Linhai Ma, Ganesh Puthiaraju +5
Motivation: Patient-generated text contains critical information about patients' lived experiences, social circumstances, and engagement in care, including factors that strongly in…
PVminer: A Domain-Specific Tool to Detect the Patient Voice in Patient Generated Data
Samah Fodeh, Linhai Ma, Yan Wang +6
Patient-generated text such as secure messages, surveys, and interviews contains rich expressions of the patient voice (PV), reflecting communicative behaviors and social determina…