Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated
  Counterfactuals   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
help the human annotators to assess the model's risk on deployment. The
counterfactual instances generated during the assessment are the by-product and
can be used to train more robust NLP models in the future.

11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
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The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
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The categories of this paper are: stat
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys