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Polyjuice

Developed by uw-hai
Polyjuice is a general-purpose counterfactual generator capable of generating counterfactual variants of text for explaining, evaluating, and improving models.
Downloads 204
Release Time : 4/25/2025

Model Overview

Polyjuice is a general-purpose counterfactual generator primarily used to generate counterfactual variants of text to aid in explaining, evaluating, and improving models.

Model Features

Counterfactual Generation
Capable of generating counterfactual variants of text for explaining and evaluating models.
Generality
Applicable to various text generation tasks with broad adaptability.

Model Capabilities

Text Generation
Counterfactual Generation

Use Cases

Model Interpretation
Model Behavior Analysis
Analyze model responses to different inputs by generating counterfactual text.
Helps understand the model's decision-making process.
Model Evaluation
Robustness Testing
Generate counterfactual text to test model robustness under varying inputs.
Evaluates model performance under diverse inputs.
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