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@@ -175,7 +175,7 @@ Med42-v2 improves performance on every clinical benchmark compared to our previo
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  |OpenBioLLM|64.24|90.40|73.18|76.90|79.01|
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  |GPT-4.0<sup>&dagger;</sup>|-|87.00|69.50|78.90|84.05|
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  |MedGemini*|-|-|-|84.00|-|
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- |Med-PaLM-2(5-shot)*|-|87.77|71.30|79.70|-|
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  |Med42|-|76.72|60.90|61.50|71.85|
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  |ClinicalCamel-70B|-|69.75|47.00|53.40|54.30|
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  |GPT-3.5<sup>&dagger;</sup>|-|66.63|50.10|50.80|53.00|
@@ -204,8 +204,7 @@ We thank the Torch FSDP team for their robust distributed training framework, th
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  ```
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  @article{christophe2024med42,
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  title={Med42-v2 - A Suite of Clinically-aligned Large Language Models},
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- author={Christophe, Cl{\'e}ment and Raha, Tathagata and Hayat, Nasir and Kanithi, Praveen and Al-Mahrooqi, Ahmed and Munjal, Prateek and Saadi, Nada and Javed, Hamza and Salman, Umar and Pimentel, Marco and Rajan, Ronnie and Khan, Shadab},
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- journal={M42},
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  year={2024}
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  }
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  ```
 
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  |OpenBioLLM|64.24|90.40|73.18|76.90|79.01|
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  |GPT-4.0<sup>&dagger;</sup>|-|87.00|69.50|78.90|84.05|
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  |MedGemini*|-|-|-|84.00|-|
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+ |Med-PaLM-2 (5-shot)*|-|87.77|71.30|79.70|-|
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  |Med42|-|76.72|60.90|61.50|71.85|
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  |ClinicalCamel-70B|-|69.75|47.00|53.40|54.30|
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  |GPT-3.5<sup>&dagger;</sup>|-|66.63|50.10|50.80|53.00|
 
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  ```
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  @article{christophe2024med42,
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  title={Med42-v2 - A Suite of Clinically-aligned Large Language Models},
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+ author={Christophe, Cl{\'e}ment and Raha, Tathagata and Hayat, Nasir and Kanithi, Praveen and Al-Mahrooqi, Ahmed and Munjal, Prateek and Saadi, Nada and Javed, Hamza and Salman, Umar and Maslenkova, Svetlana and Pimentel, Marco and Rajan, Ronnie and Khan, Shadab},
 
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  year={2024}
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  }
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  ```