In this project, students will have hands-on experiences in conducting research on explainable AI. It will involve evaluation and human-centric benchmarking of large language models such as GPT or Llama, or vision language models such as CLIP, from the perspectives of human cognition and human-AI interaction. More specifically, we will compare human cognition and AI models in both their behavior/performance and underlying mechanisms through both computer science and cognitive science methods.