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2 results for “uncertainty quantification”
SPIN Processed News Frame: The Hype
Bayesian methods and Markov chain Monte Carlo algorithms for curve reconstruction and point cloud data analysis
A new Bayesian statistical framework for reconstructing curves from point-cloud data introduces uncertainty quantification to address noise, missing data, and overconfidence in existing reconstruction methods.
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arXiv Machine Learning
Aug 28, 2026
SPIN Processed News Frame: The Halo
Improved Confidence Estimates for Black-Box Large Language Models
A new arXiv preprint proposes a lightweight, dataset-aware method to improve confidence estimates for black-box LLMs by training simple classifiers on existing uncertainty scores and query similarity — aiming to increase reliability without requiring model access or labeled correctness data.
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arXiv Machine Learning
Aug 21, 2026