most citedA Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CL2026

Eliciting Intrinsic Hallucinations in LLMs via Semantically Equivalent Adversarial Attacks

Atri Vivek Sharma, Brian Formento, Alessio Lomuscio

Large language models (LLMs) are often used in conjunction with external knowledge sources to improve their factual accuracy and decrease hallucinations, through methods such as Re…

cs.CL2022★ 1 cited

A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases

Jingqing Zhang, Atri Sharma, Luis Bolanos +4

Clinicians may rely on medical coding systems such as International Classification of Diseases (ICD) to identify patients with diseases from Electronic Health Records (EHRs). Howev…