3 papers
cs.CV2025
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…
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.CV2024
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…