Maskability Index

Maskability Index: A metric for predicting prompt-objective alignment in pretrained language models

Researchers introduce the Maskability Index (MI), a quantitative metric that estimates whether a knowledge relation is better suited to masked-style or prefix-style prompting in few-shot generation. MI is derived from differences in DepthRank scores between masked and unmasked templates and is evaluated on the ATOMIC2020 knowledge base completion benchmark. Results show MI correlates positively with downstream generation performance, suggesting it can guide template selection for relational knowledge extraction, particularly in low-resource settings.