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Why agent benchmark scores depend on the scaffold
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184 vues4J'aime42teja_derangulaVersion originale : 2026-05-21

In AI agent evaluation, the scaffold (the harness that defines what tools the agent can call, how many tries it gets, and how it tracks its state) is a critical variable that can cause significant score variations—up to 13+ points on benchmarks like SW bench—even when using the same model and prompt. When conducting A/B tests on prompts or models, the scaffold must be locked to ensure valid results; otherwise, the evaluation becomes unreliable noise.

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