Study Reveals LLMs Lack Statistical Self-Consistency
Recent research highlights that Large Language Models fail to maintain statistical self-consistency. Experiments using binary tree partitioning confirm that model outputs do not satisfy basic probabilistic identities like the law of total probability.
2026-07-17 ~ 2026-07-17 · 2 related posts
- Study on Statistical Self-Consistency in LLMs — AlayaLab · 2026-07-17
- Study Reveals Statistical Self-Consistency Flaws in LLMs — Patrik Wolf · 2026-07-17