Before revision:  To benchmark  evaluation in IML, in this paper , we rigorously define the problem of evaluating explanations, and systematically review the existing efforts  . Specifically, we summarize three general aspects of explanation (i.e., predictability , fidelity and persuasibility) with formal definitions, and respectively review the representative methodologies for each of them under different tasks.
After revision:  To benchmark evaluation in IML, in this paper , we rigorously define the problem of evaluating explanations, and systematically review the existing efforts from state-of-the-arts . Specifically, we summarize three general aspects of explanation (i.e., predictability , fidelity and persuasibility) with formal definitions, and respectively review the representative methodologies for each of them under different tasks.