A farthest-first diversity-based selection method for prompt templates finds LLM failures faster than random selection, with compression distance giving the strongest average gains.
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Adaptive Testing for LLM-Based Applications: A Diversity-based Approach
A farthest-first diversity-based selection method for prompt templates finds LLM failures faster than random selection, with compression distance giving the strongest average gains.