A method uses word-level sampling and a genetic algorithm to generate counterfactual utterances that flip a language-grounding model's wrong prediction to the correct one.
Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model Evaluation
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Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects
A method uses word-level sampling and a genetic algorithm to generate counterfactual utterances that flip a language-grounding model's wrong prediction to the correct one.