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cs.LG2026
Conformal Language Modeling via Posterior Sampling
Nicolas Emmenegger, Theo X. Olausson, Armando Solar-Lezama +1
Large Language Models remain plagued by hallucinations. Recent work has sought to tame their prevalence using statistical techniques based on conformal prediction, with both theore…
cs.LG2023
Likelihood Ratio Confidence Sets for Sequential Decision Making
Nicolas Emmenegger, Mojmír Mutný, Andreas Krause
Certifiable, adaptive uncertainty estimates for unknown quantities are an essential ingredient of sequential decision-making algorithms. Standard approaches rely on problem-depende…