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.
By Jiayi Xin, Evan Qiang, Zihan Zhu, Xiang Li, Weijie J. Su, Qi LongarXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 6, 2026.
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