Prompt Robustness Matters More Than Optimal Prompts
_akpiper · x · 2026-07-17
The author argues that evaluations shouldn't just look for the "optimal prompt," but should test robustness across a theoretically sound set of prompts, models, and settings.
They believe that prompt variations can serve as an epistemological stress test to distinguish whether a conclusion is stable or highly dependent on a specific prompt. The reply further notes that human annotation should serve alignment theory, and evaluation metrics could be credibility, consensus, or distributional consistency. In cultural, ethical, and interpretive issues, disagreement itself might be part of the phenomenon rather than noise that must be eliminated.
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