Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …

With radiology shortages affecting over half of the global population, the potential of artificial
intelligence to revolutionize medical diagnosis and treatment is ever more important …

Existing model evaluation tools mainly focus on evaluating classification models, leaving a
gap in evaluating more complex models, such as object detection. In this paper, we develop …

The increasing reliance on Large Language Models (LLMs) for health information seeking
can pose severe risks due to the potential for misinformation and the complexity of these …

Multi-modal embeddings form the foundation for vision-language models, such as CLIP
embeddings, the most widely used text-image embeddings. However, these embeddings …

Evaluating large language models (LLMs) presents unique challenges. While automatic
side-by-side evaluation, also known as LLM-as-a-judge, has become a promising solution …

Generative image models have emerged as a promising technology to produce realistic
images. Despite potential benefits, concerns grow about its misuse, particularly in …

Active learning (AL) systems have become increasingly popular for various applications in
machine learning (ML), including medical imaging, environmental monitoring, and …

The grid map, often referred to as the tile map, stands as a vital tool in geospatial
visualization, possessing unique attributes that differentiate it from more commonly known …

Deep learning models are widely used in critical applications, highlighting the need for pre-
deployment model understanding and improvement. Visual concept-based methods, while …