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Shifting the Lens: Detecting Malware in npm Ecosystem with Large Language Models
Our baseline comparison demonstrates a notable improvement over static analysis in precision scores above 25% and F1 scores above 15%.
A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation
De-identification is the process of removing 18 protected health information (PHI) from clinical notes in order for the text to be considered not individually identifiable.
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