3 papers
cs.HC2026
Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments
Yifan Zhang, Tianle Ren, Fei Wang +1
Explaining with examples is an intuitive way to justify AI decisions. However, it is challenging to understand how a decision value should change relative to the examples with many…
cs.HC2026
Transferable XAI: Relating Understanding Across Domains with Explanation Transfer
Fei Wang, Yifan Zhang, Brian Y. Lim
Current Explainable AI (XAI) focuses on explaining a single application, but when encountering related applications, users may rely on their prior understanding from previous expla…
cs.HC2025
Enhancing XAI Interpretation through a Reverse Mapping from Insights to Visualizations
Aniket Nuthalapati, Nicholas Hinds, Brian Y. Lim +1
As AI systems become increasingly integrated into high-stakes domains, enabling users to accurately interpret model behavior is critical. While AI explanations can be provided, use…