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

1 citations · 1 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2026

From Qualitative Text to Integrated Evidence: The Parallel-Then-Integrated (PTI) Procedure

Elyas Irankhah, Ashley Hagaman, Samah Fodeh

Mixed methods research offers established strategies for integrating qualitative and quantitative evidence, but less guidance for integrating two computational representations of t…

cs.CL2026

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…

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.AI2026

EPPC-OASIS: Ontology-Aware Adaptation and Structured Inference Refinement for Electronic Patient-Provider Communication Mining in Secure Messages

Samah Fodeh, Sreeraj Ramachandran, Elyas Irankhah +7

Secure patient-provider messages contain clinically important communication behaviors that are difficult to characterize manually at scale. The Electronic Patient-Provider Communic…

cs.CL2026

Yale-DM-Lab at ArchEHR-QA 2026: Deterministic Grounding and Multi-Pass Evidence Alignment for EHR Question Answering

Elyas Irankhah, Samah Fodeh

We describe the Yale-DM-Lab system for the ArchEHR-QA 2026 shared task. The task studies patient-authored questions about hospitalization records and contains four subtasks (ST): c…

cs.LG2026

STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction

Samah Fodeh, Ganesh Puthiaraju, Elyas Irankhah +5

Structured prediction with large language models requires outputs that are label-accurate, ontology-constrained, structurally valid, and evidence-grounded under label imbalance and…

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

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…

cs.CL2026★ 1 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-…