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MAPLE is a unified evaluation framework for characterizing how knowledge extraction enhancement (KEE) techniques affect parametric knowledge extraction, and its diagnostic metrics decompose the effects at three levels: the surface level, the probability level, and the beyond-sampling level.
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10/15/2026
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