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SafeLLM4SE: Statistical Evaluation and Reporting for LLM-based Software Engineering Systems
Large language models (LLMs) are increasingly used for software engineering tasks, yet their stochastic behavior challenges the validity, reproducibility, and comparability of their evaluations. Conventional practices such as reporting a single output, an average score, best-of-N, or pass@k performa
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