Formula

Formula for Combining Predictions in Prompt Ensembling

In prompt ensembling, after obtaining KK individual predictions from KK different prompts, denoted as y^1,...,y^K\hat{\mathbf{y}}_1, ..., \hat{\mathbf{y}}_K, these predictions are aggregated into a single, final prediction, y^\hat{\mathbf{y}}. This combination process is represented by the general formula: y^=Combine(y^1,...,y^K)\hat{\mathbf{y}} = \mathrm{Combine}(\hat{\mathbf{y}}_1, ..., \hat{\mathbf{y}}_K). Here, the Combine()\mathrm{Combine}(\cdot) function represents the chosen combination model.

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Updated 2026-04-30

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Ch.3 Prompting - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

Computing Sciences