Passage re-ranking is a machine learning task that estimates relevance scores between a given query and candidate passages. Keyword features based on the lexical similarities between queries and passages have been traditionally used for the passage re-ranking models. However. such approaches have a limitation; it is difficult to find semantic and contextual features beyond word-matchi... https://balboasurfandsstylers.shop/product-category/girls-romper/
Multitask Fine-Tuning for Passage Re-Ranking Using BM25 and Pseudo Relevance Feedback
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