LLMs change answers over 23% of the time with rephrased questions

By PulseAugur Editorial · [1 sources] · 2026-07-29 02:59

Large language models demonstrate a significant lack of reliability, with over 23% of their answers changing when a question is rephrased. This inconsistency highlights a critical gap in standard accuracy metrics, which fail to capture the true variability and potential unreliability of LLMs when deployed in real-world applications. AI

IMPACT Highlights a critical reliability gap in LLMs, suggesting current accuracy metrics may be insufficient for real-world deployment.

RANK_REASON The item discusses a finding about LLM reliability, which is a commentary on existing AI capabilities rather than a new release or research breakthrough.

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LLMs change answers over 23% of the time with rephrased questions

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-07-29 02:59

LLMs flip answers 23% of the time when you rephrase the question LLM answers change on over 23% of questions when wording shifts, and standard accuracy scores h

LLMs flip answers 23% of the time when you rephrase the question LLM answers change on over 23% of questions when wording shifts, and standard accuracy scores hide the reliability gap from anyone deploying AI. https://www. notatechguy.com/llms-flip-answ ers-23-of-the-time-when-yo…

LINKS notatechguy.com/llms-flip-answers-23-of-t…

COVERAGE [1]

LLMs flip answers 23% of the time when you rephrase the question LLM answers change on over 23% of questions when wording shifts, and standard accuracy scores h

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