CoNLL Average F1 Score (Average of MUC, B³, and CEAF) is a crucial evaluation metric for coreference resolution tasks in natural language processing. CoNLL F1 is the average of the F1 scores from the MUC, B³, and CEAF metrics, serving as the most authoritative comprehensive evaluation metric for coreference resolution. It is typically reported as a percentage or a score between 0 and 1. This metric is widely used in relevant benchmarks and papers, effectively reflecting model performance in this dimension. Higher values are better.