3 papers
cs.AI2025
Adaptive Diagnostic Reasoning Framework for Pathology with Multimodal Large Language Models
Yunqi Hong, Johnson Kao, Liam Edwards +5
AI tools in pathology have improved screening throughput, standardized quantification, and revealed prognostic patterns that inform treatment. However, adoption remains limited bec…
cs.CV2025
QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models
Kuei-Chun Kao, Hsu Tzu-Yin, Yunqi Hong +2
Recently, Multimodal Large Language Models (MLLMs) encounter two key issues in multi-image contexts: (1) a lack of fine-grained perception across disparate images, and (2) a dimini…
cs.AI2024
Enhancing CLIP Conceptual Embedding through Knowledge Distillation
Kuei-Chun Kao
Recently, CLIP has become an important model for aligning images and text in multi-modal contexts. However, researchers have identified limitations in the ability of CLIP's text an…