10 papers
FeedEval: Pedagogically Aligned Evaluation of LLM-Generated Essay Feedback
Seongyeub Chu, Jongwoo Kim, Munyong Yi
Going beyond the prediction of numerical scores, recent research in automated essay scoring has increasingly emphasized the generation of high-quality feedback that provides justif…
Leveraging Spatial Context for Positive Pair Sampling in Histopathology Image Representation Learning
Willmer Rafell Quinones Robles, Sakonporn Noree, Jongwoo Kim +3
Deep learning has shown strong potential in cancer classification from whole-slide images (WSIs), but the need for extensive expert annotations often limits its success. Annotation…
Aspect-Aware MOOC Recommendation in a Heterogeneous Network
Seongyeub Chu, Jongwoo Kim, Mun Yong Yi
MOOC recommendation systems have received increasing attention to help learners navigate and select preferred learning content. Traditional methods such as collaborative filtering…
Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling
Bryan Wong, Jong Woo Kim, Huazhu Fu +1
Vision-language models (VLMs) have recently been integrated into multiple instance learning (MIL) frameworks to address the challenge of few-shot, weakly supervised classification…
Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
Jongwoo Kim, Seongyeub Chu, Hyeongmin Park +3
Recent advancements in graph neural networks (GNNs) and heterogeneous GNNs (HGNNs) have advanced node embeddings and relationship learning for various tasks. However, existing meth…
MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images
Jongwoo Kim, Bryan Wong, Huazhu Fu +3
Cancer diagnosis has greatly benefited from the integration of whole-slide images (WSIs) with multiple instance learning (MIL), enabling high-resolution analysis of tissue morpholo…