As the societal impact of Deep Neural Networks (DNNs) grows, the goals for advancing
DNNs become more complex and diverse, ranging from improving a conventional model …

Explanation supervision aims to enhance deep learning models by integrating additional
signals to guide the generation of model explanations, showcasing notable improvements in …

Explaining the decision-making processes of Artificial Intelligence (AI) models is crucial for
addressing their" black box" nature, particularly in tasks like image classification. Traditional …

Online health communities (OHCs) provide an essential platform for patients with similar
health conditions to share experiences and offer moral support. However, many time …

Explanation supervision is a technique that guides a deep learning model to have correct
attention during training and thus improve both the interpretability and predictability of the …

Many graphs can be represented as Text-attributed Graphs (TAGs). Due to the rich textual
information present in each node of TAGs, traditional graph neural networks (GNNs) often …