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@@ -193,6 +193,6 @@ If you use this solution or the models in this repository, please acknowledge th
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  ## Acknowledgements
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- - [MAFAT DDR&D](https://www.mafat.org.il/) and the **Israel National NLP Program** for organizing the challenge and providing the annotated Hebrew corpus.
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  - [Webiks](https://www.webiks.com/) for the `Hebrew-RAGbot-KolZchut-QA-Embedder-v1.0` model.
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  - The authors of `multilingual-e5-large`, `bge-m3`, `bge-reranker-v2-m3`, `snowflake-arctic-embed-l-v2.0`, and `Solon-embeddings-large-0.1`.
 
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  ## Acknowledgements
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+ - MAFAT DDR&D and the **Israel National NLP Program** for organizing the challenge and providing the annotated Hebrew corpus.
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  - [Webiks](https://www.webiks.com/) for the `Hebrew-RAGbot-KolZchut-QA-Embedder-v1.0` model.
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  - The authors of `multilingual-e5-large`, `bge-m3`, `bge-reranker-v2-m3`, `snowflake-arctic-embed-l-v2.0`, and `Solon-embeddings-large-0.1`.