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cs.CL2025
Enhancing Contrastive Demonstration Selection with Semantic Diversity for Robust In-Context Machine Translation
Owen Patterson, Chee Ng
In-Context Learning (ICL) empowers large language models to perform tasks by conditioning on a few input-output examples. However, the performance of ICL is highly sensitive to the…
cs.CL2024
Educational Personalized Learning Path Planning with Large Language Models
Chee Ng, Yuen Fung
Educational Personalized Learning Path Planning (PLPP) aims to tailor learning experiences to individual learners' needs, enhancing learning efficiency and engagement. Despite its…