Improving Prompt Consistency with Structured Generations
The article examines the sensitivity of LLM benchmark performance to prompt format changes, using MMLU as a case study. It shows that even minor differences in phrasing can lead to score variations. The authors discuss structured generation as a method to increase consistency across formats, providing insights for more robust evaluation.
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