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cs.CL2026

Factorized Hypothesis Search for Evidence-to-Taxonomy Retrieval

Linhai Ma, Ethan F. Wei, Xueqing Peng +3

Large-taxonomy retrieval often assumes that the input already expresses the target concept. In many settings, however, the input is indirect evidence, such as a table cell whose me…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.CL20261 cited

EPPCMinerBen: A Novel Benchmark for Evaluating Large Language Models on Electronic Patient-Provider Communication via the Patient Portal

Samah Fodeh, Yan Wang, Linhai Ma +3

Effective communication in health care is critical for treatment outcomes and adherence. With patient-provider exchanges shifting to secure messaging, analyzing electronic patient-…