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@@ -35,4 +35,16 @@ scores = model.get_scores(
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  # Scores are sorted in descending order (most relevant to least)
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  # scores -> [0, 1]
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  sorted_scores = sorted(zip(scores, docs), key=lambda x: x[0], reverse=True)
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  # Scores are sorted in descending order (most relevant to least)
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  # scores -> [0, 1]
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  sorted_scores = sorted(zip(scores, docs), key=lambda x: x[0], reverse=True)
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+ ```
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+
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+ ## How to Cite
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+ ```
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+ @misc{laitz2024inranker,
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+ title={InRanker: Distilled Rankers for Zero-shot Information Retrieval},
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+ author={Thiago Laitz and Konstantinos Papakostas and Roberto Lotufo and Rodrigo Nogueira},
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+ year={2024},
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+ eprint={2401.06910},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.IR}
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+ }
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  ```