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cs.AI2026
Structure-Aware Robust Counterfactual Explanations via Conditional Gaussian Network Classifiers
Zhan-Yi Liao, Jaewon Yoo, Hao-Tsung Yang +1
Counterfactual explanation (CE) is a core technique in explainable artificial intelligence (XAI), widely used to interpret model decisions and suggest actionable alternatives. This…
cs.AI2025★ 1 cited
Neutralizing Popularity Bias in LLM-based Recommendation via Counterfactual Reasoning Guidelines
Guanrong Li, Haolin Yang, Xinyu Liu +3
In the era of generative AI, recommender systems are moving from precise prediction to trustworthy generation. Large language models (LLMs) support this shift by inferring user int…