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@@ -171,6 +171,8 @@ The model demonstrates robust performance on clinical natural language inference
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  ## Acknowledgments
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  We would like to thank **LIS** | Laboratoire d'Informatique et Systèmes, Aix-Marseille University for providing the GPU resources necessary for pretraining and conducting extensive experiments. Additionally, we acknowledge **CEDRE** | CEntre de formation et de soutien aux Données de la REcherche, Programme 2 du projet France 2030 IDeAL for supporting early-stage experiments and hosting part of the computational infrastructure.
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  ## Citation
 
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  ## Acknowledgments
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+ The project leading to this publication has received funding from the Excellence Initiative of Aix Marseille Université - A*Midex, a French “Investissements d’Avenir programme” AMX-21-IET-017.
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  We would like to thank **LIS** | Laboratoire d'Informatique et Systèmes, Aix-Marseille University for providing the GPU resources necessary for pretraining and conducting extensive experiments. Additionally, we acknowledge **CEDRE** | CEntre de formation et de soutien aux Données de la REcherche, Programme 2 du projet France 2030 IDeAL for supporting early-stage experiments and hosting part of the computational infrastructure.
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  ## Citation