2 papers
cs.CL2026
Towards Fair and Efficient De-identification: Quantifying the Efficiency and Generalizability of De-identification Approaches
Noopur Zambare, Kiana Aghakasiri, Carissa Lin +3
Large language models (LLMs) have shown strong performance on clinical de-identification, the task of identifying sensitive identifiers to protect privacy. However, previous work h…
cs.CL2025
Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss
Kiana Aghakasiri, Noopur Zambare, JoAnn Thai +4
De-identification in the healthcare setting is an application of NLP where automated algorithms are used to remove personally identifying information of patients (and, sometimes, p…