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Multi-prompt aggregation draws on the idea of ensemble learning to reduce variance: for the same evaluation task, multiple semantically equivalent but differently worded prompts are constructed, judgments are obtained from the judge for each, and then merged through voting, averaging, or consistency weighting.
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10/30/2026
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