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LLM-as-judge verdicts flip on re-run due to prompt sensitivity and noise
The pain
We use an LLM to score text records against a checklist, but re-running the same batch changes the pass/fail totals even with temperature at zero. Vague criteria flip randomly, rewording one criterion shifts others by 5–10 points, and the model pulls evidence from the wrong field about a third of the time. With all criteria needing to pass, ten slightly noisy checks add up to one unreliable result.
What people said · 36 complaints, 26 people
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