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WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

Safety Score for Pre-Trained Language Models

Responsibly ⭐ 41

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰

[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models

Metric Fairness ⭐ 20

EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation

Responsible Ai Toolbox Genbit ⭐ 18

A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.

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