most citedIs Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks

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cs.LG2026

Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment

Tiejin Chen, Xiaoou Liu, Vishnu Nandam +2

Preference-based alignment like Reinforcement Learning from Human Feedback (RLHF) learns from pairwise preferences, yet the labels are often noisy and inconsistent. Existing uncert…

cs.LG2025★ 2 cited

Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks

Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo +1

Explaining Graph Neural Networks (GNNs) has garnered significant attention due to the need for interpretability, enabling users to understand the behavior of these black-box models…