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20242026
most citedTowards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction

1 citations · 2 across the 7 of their papers we have counts for

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cs.AI2026

Quantifying and Understanding Uncertainty in Large Reasoning Models

Yangyi Li, Chenxu Zhao, Mengdi Huai

Large Reasoning Models (LRMs) have recently demonstrated significant improvements in complex reasoning. While quantifying generation uncertainty in LRMs is crucial, traditional met…

cs.LG2026

Uncertainty-aware Language Guidance for Concept Bottleneck Models

Yangyi Li, Mengdi Huai

Concept Bottleneck Models (CBMs) provide inherent interpretability by first mapping input samples to high-level semantic concepts, followed by a combination of these concepts for t…