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A unified, comprehensive fairness- and diversity-aware IR library

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FairDiverse is developed based on Python for reproducing and developing fairness- and diversity-aware IR algorithms in a unified, comprehensive framework for research purpose. In the first version, our library includes 28 fairness- and diversity algorithms and 16 base models, covering pre-processing, in-processing and post-processingfor more information: https://github.com/XuChen0427/FairDiverse

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