arxiv
PublishedOctober 12, 2026 at 4:00 AM
Probabilistic Calibration Is a Trainable Capability in Language Models
Publisher summary· verbatim
arXiv:2605.11845v2 Announce Type: replace Abstract: Language models are increasingly used in settings where outputs should follow an intended distribution, yet their generation probabilities are often poorly calibrated to it. In many such requests the distribution is implicit and the valid outputs c
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Originally published on arxiv ↗