2025
A Monte-Carlo Sampling Framework For Reliable Evaluation of Large Language Models Using Behavioral Analysis
EMNLP 2025
Scientific evaluation of Large Language Models is an important topic that quantifies any degree of progress we make with new models. Even though current LLMs show high level of accuracy on benchmark datasets, the single-sample approach to evaluating them is not sufficient as it ignores high entropy