Papers with latent optimization

1 papers
Text Counterfactuals via Latent Optimization and Shapley-Guided Search (2021.emnlp-main)

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Challenge: Using latent optimization and Shapley values, we generate a set of minimal modifications to the text to change the classifier's prediction.
Approach: They propose to generate a counterfactual by making minimal modifications to the text to change the model's prediction.
Outcome: The proposed approach achieves favorable performance compared to white-box and black-box baselines using human and automatic evaluations.

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