Hitchhiker's Guide to Testing Statistical Significance in NLP

LLM evaluation metrics need confidence intervals to distinguish signal from noise

Evaluating Large Language Models (LLMs) requires understanding the uncertainty inherent in performance metrics. A single score, such as 84.2% accuracy, can be misleading because it doesn't account for sampling error. By…