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@@ -184,14 +184,14 @@ So it makes sense to evaluate our models in retrieval slice of the MTEB benchmar
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  ##### Long Document Retrieval
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  <center>
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- <img src="./ar_metrics_4.png" width=80%/>
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  <b><p>Table 3: Detailed Arabic retrieval performance on the MultiLongDoc dev set (measured by nDCG@10)</p></b>
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  </center>
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  ##### X-lingual Retrieval
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- Almost all models below are monolingual arabic models based so they have no notion of any other languages.
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  <center>
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  <img src="./ar_metrics_5.png" width=80%/>
 
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  ##### Long Document Retrieval
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  <center>
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+ <img src="./ar_metrics_4.png" width=150%/>
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  <b><p>Table 3: Detailed Arabic retrieval performance on the MultiLongDoc dev set (measured by nDCG@10)</p></b>
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  </center>
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  ##### X-lingual Retrieval
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+ Almost all models below are monolingual arabic models so they have no notion of any other languages. But the below table shows how our model excels in cross-lingual scenarios.
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  <center>
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  <img src="./ar_metrics_5.png" width=80%/>