4 citations · 4 across the 3 of their papers we have counts for
4 papers
X-Ray-CoT: Interpretable Chest X-ray Diagnosis with Vision-Language Models via Chain-of-Thought Reasoning
Chee Ng, Liliang Sun, Shaoqing Tang
Chest X-ray imaging is crucial for diagnosing pulmonary and cardiac diseases, yet its interpretation demands extensive clinical experience and suffers from inter-observer variabili…
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…
Selective State Space Memory for Large Vision-Language Models
Chee Ng, Yuen Fung
Large Vision-Language Models (LVLMs) have demonstrated remarkable performance across a wide range of multimodal tasks. However, fine-tuning these models for domain-specific applica…
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…