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@@ -27,7 +27,7 @@ Although RAG typically relies on embedding-based retrieval, the embedding models
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  **The entity knowledge is pluggable and can be dynamically updated with ease.**
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- For more details, refer to [our GitHub repository](https://github.com/knowledgeable-embedding/knowledgeable-embedding).
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  ## Model List
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@@ -115,6 +115,7 @@ This model is licensed under the Apache License, Version 2.0.
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  ## Citation
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  If you use this model in your research, please cite the following paper:
 
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  [Dynamic Injection of Entity Knowledge into Dense Retrievers](https://arxiv.org/abs/2507.03922)
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  ```bibtex
 
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  **The entity knowledge is pluggable and can be dynamically updated with ease.**
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+ For further details, refer to [our paper](https://arxiv.org/abs/2507.03922) or [GitHub repository](https://github.com/knowledgeable-embedding/knowledgeable-embedding).
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  ## Model List
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  ## Citation
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  If you use this model in your research, please cite the following paper:
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  [Dynamic Injection of Entity Knowledge into Dense Retrievers](https://arxiv.org/abs/2507.03922)
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  ```bibtex