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Modern open-domain question answering systems often rely on accurate andefficient retrieval components to find passages containing the facts necessaryto answer the question. Recently, neural retrievers have gained popularity overlexical alternatives due to their superior performance. However, most of thework concerns popular languages such as English or Chinese. For others, such asPolish, few models are available. In this work, we present SilverRetriever, aneural retriever for Polish trained on a diverse collection of manually orweakly labeled datasets. SilverRetriever achieves much better results thanother Polish models and is competitive with larger multilingual models.Together with the model, we open-source five new passage retrieval datasets.

SilverRetriever: Advancing Neural Passage Retrieval for Polish Question Answering