Author

Zi-Han Zhu

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#machine learning Preprint Oct 2026

Conformal Prediction with Paraphrase-Aware Scoring for LLM Uncertainty Quantification

Uncertainty quantification (UQ) for large language models (LLMs) aims to provide reliable measures of predictive confidence, yet current methods are often unstable under meaning-preserving perturbations. Semantically equivalent paraphrases can induce substantial variability in predictive confidence, even for methods wi...

Jiayi Xin, Evan Qiang, Zi-Han Zhu et al. · 0 citations

#machine learning Preprint Sep 2026

Rank-Efficient LoRA via Joint Tangent-Space Optimization under Isotropic Curvature

Low-Rank Adaptation (LoRA) is an effective approach for adapting large pretrained models by learning low-rank weight updates. In practice, the LoRA rank is used to control an adapter's parameter budget and representational capacity. We show that this view is incomplete: while the nominal rank determines the representat...

Zi-Han Zhu, Zhe-Hang Du, Xu-Yang Chen et al. · 0 citations