Unverified50% confidenceFactExact time
In the faithfulness metric, the number of claims the judge splits from the same answer varies (for example, one answer was split into 5, 10 and 11 claims across three runs), causing the denominator to change and thus the score to fluctuate; precision and recall consist of yes/no judgments, with 5 of 148 chunk judgments flipping across the three runs and 3 of 22 reference-statement judgments flipping; since 14 of the 18 reference answers are a single sentence, recall on those questions is either 0 or 1.
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50%
Confidence
Long-term
Relevance
10/19/2026
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Related Claims
UnverifiedWhen only re-judging the same batch of saved answers, the standard deviation of the 18-question mean ranged from 0.021 (faithfulness) to 0.035 (precision); after regenerating answers, the standard deviation of faithfulness rose to 0.054, and relevancy rose from 0.002 to 0.028.77% similarUnverifiedEven with the judge's temperature set to 0, judging the same answers and chunks three times, the 18-question mean of precision fluctuated by 0.085, faithfulness by 0.042, recall by 0.046, and only relevancy stayed relatively stable at 0.003.73% similarUnverifiedThe LLM judge serving as evaluator assigns almost all outputs a score of 7 or 8, causing it to lose discriminative power.71% similarUnverifiedSwitching the judge model moved recall by 0.31 and faithfulness by 0.26, three times and nearly twice their respective thresholds, showing that the judge model has a greater impact than the k parameter.69% similar
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