Statisticians debate what LLM uncertainty expressions really mean
A technical discussion led by statistician Sinead Williamson explores what LLMs mean when expressing uncertainty. Participants agree that RLCR-style training yields better calibration, as such models behave more like conventional classifiers trained under a proper loss.
2026-10-06 ~ 2026-10-06 · 2 related posts
- What do LLMs actually mean when they say they're uncertain? A calibration debate — sineadwilliamso · 2026-10-06
- Statistician asks what LLMs really mean when they express uncertainty — sineadwilliamso · 2026-10-06