Explaining the Road Not Taken
The Pennsylvania State University（宾夕法尼亚州立大学）
英文摘要：
It is unclear if existing interpretations of deep neural network models respond effectively to the needs of users. This paper summarizes the common forms of explanations (such as feature attribution, decision rules, or probes) used in over 200 recent papers about natural language processing (NLP), and compares them against user questions collected in the XAI Question Bank. We found that although users are interested in explanations for the road not taken -- namely, why the model chose one result and not a well-defined, seemly similar legitimate counterpart -- most model interpretations cannot answer these questions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
