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In-Context Learning with Large Language Models: A Simple and Effective Approach to Improve Radiology Report Labeling
0
Zitationen
6
Autoren
2025
Jahr
Abstract
Incontext learning with GPT-4 consistently improved performance in labeling radiology reports. This approach is particularly effective for subjective labeling tasks and allows the model to align its criteria with those of human annotators for objective labeling. This practical strategy offers a simple, adaptable, and researcher-oriented method that can be applied to diverse labeling tasks.
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