Generative AI (GenAI) represents a shift from AI's ability to “recognize” to its ability to
“generate” solutions for a wide range of tasks. As generated solutions and applications grow …

Large language models (LLMs) have demonstrated remarkable prediction performance for a
growing array of tasks. However, their rapid proliferation and increasing opaqueness have …

Entity-and event-level conceptualization, as fundamental elements of human cognition,
plays a pivotal role in generalizable reasoning. This process involves abstracting specific …

Understanding the inner mechanisms of black-box foundation models (FMs) is essential yet
challenging in artificial intelligence and its applications. Over the last decade, the long …

Concept Bottleneck Models (CBMs) have been proposed as a compromise between white-
box and black-box models, aiming to achieve interpretability without sacrificing accuracy …

Interpreting and understanding the predictions made by deep learning models poses a
formidable challenge due to their inherently opaque nature. Many previous efforts aimed at …