Jul 4, 2024 · The generated counterfactuals provide insight into the reasoning behind a model's predictions by highlighting which words significantly ...
To bridge this gap, this survey provides a comprehensive overview of textual counterfactual generation methods, particularly those based on Large Language ...
Nov 12, 2024 · In this survey, we review past research on nat- ural language counterfactual generation and cate- gorize these methods into four groups: (1) ...
evitably increasing the review burden. 104. In this survey, we review past research on natural. 105 language counterfactual ...
Natural language counterfactual generation aims to minimally modify a given text such that the modified text will be classified into a different class.
Oct 7, 2024 · The generated counterfactuals provide insight into the reasoning behind a model's predictions by highlighting which words significantly ...
this survey, we review past research on natural language counterfactual generation and categorize these methods into four groups, as shown in Figure 1: (1) ...
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This survey article proposes a clearer view of Natural Language Reasoning (NLR) in the field of Natural Language Processing (NLP), both conceptually and ...
Natural Language Counterfactual generation aims to minimally modify a given text such that the modified text will be classified into a different class.
Faithful Explanations of Black-box NLP Models Using LLM-generated ...
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This paper addresses model-agnostic explanations, proposing two approaches for counterfactual (CF) approximation and presents a method that is guided by an ...