Explain Less, Understand More: Data-Efficient Personalization of Reader-Dependent Jargons
This study offers the first work to systematically explore efficient, low-resource personalization of jargon detection using open-source language models, offering a practical path toward scalable, user-adaptive NLP system.
Bohao Wu, Qingyun Wang, Yue Guo
· 0 citations