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SPIN Processed News Frame: The Hype
Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models
Researchers propose a new training-free, uncertainty-aware inference framework that uses short lookahead simulations to improve the reliability of large language models generating operations research mathematical formulations.
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arXiv Machine Learning
Aug 4, 2026
SPIN Processed News Frame: The Hype
An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning
A new arXiv preprint introduces a tutorial-style overview of simulation-based inference (SBI) methods using machine learning, comparing Bayesian and frequentist approaches and extending applications to Empirical Bayes and unfolding tasks.
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arXiv Machine Learning
Jul 27, 2026