1 citations · 1 across the 10 of their papers we have counts for
7 papers · 1 filter
Assessing Suicide Risk in Arabic Crisis Helpline Calls: A Comparison of Arabic and English Large Language Models
Linhai Ma, Rita El Hachem, Mahatab El Hajj +2
Crisis helplines assess suicide risk through structured interviews, a process that is slow and dependent on operator training and workload. Natural language processing could suppor…
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…
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…
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…
TAB-PO: Preference Optimization with a Token-Level Adaptive Barrier for Token-Critical Structured Generation
Samah Fodeh, Linhai Ma, Ganesh Puthiaraju +5
Direct Preference Optimization (DPO) is effective for offline alignment but poorly matched to ontology-driven structured prediction, where preferred and rejected JSON often differ…
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…