SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals
Zijian Zhang,
Vinay Setty,
Avishek Anand
Abstract:We introduce SparCAssist, a general-purpose risk assessment tool for the machine learning models trained for language tasks. It evaluates models' risk by inspecting their behavior on counterfactuals, namely out-of-distribution instances generated based on the given data instance. The counterfactuals are generated by replacing tokens in rational subsequences identified by ExPred, while the replacements are retrieved using HotFlip or Masked Language Model based algorithms. The main purpose of our system is to he… Show more
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