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Prompt Interference in LLM Post-Training: Why Pass@k Optimization Can Degrade Pass@1
Pass@$k$ is a widely used performance metric for verifiable large language model tasks, including mathematical reasoning, code generation, and short-answer reasoning. It defines success if any of $k$ independently sampled solutions passes a verifier. This multi-sample inference metric has motivated
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