LLM Evaluation is a Forecasting Problem
LLM evaluation should be treated as a time series forecasting problem, not static estimation. Temporal shifts in training data make future performance unpredictable based on past averages. Time-aware forecasters and recent evaluations predict future model performance better than standard methods, guiding better model selection and data filtering.