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@@ -214,6 +214,18 @@ Compared to the general-purpose `ms-marco-TinyBERT-L2` baseline:
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  These results confirm that **domain-specific pretraining and fine-tuning** substantially enhance semantic understanding and information retrieval capabilities in cybersecurity applications.
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model Card Authors
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  These results confirm that **domain-specific pretraining and fine-tuning** substantially enhance semantic understanding and information retrieval capabilities in cybersecurity applications.
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  ---
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+ # Cite:
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+
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+ Bibtex
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+
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+ ```
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+ @article{aghaei2025securebert,
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+ title={SecureBERT 2.0: Advanced Language Model for Cybersecurity Intelligence},
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+ author={Aghaei, Ehsan and Jain, Sarthak and Arun, Prashanth and Sambamoorthy, Arjun},
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+ journal={arXiv preprint arXiv:2510.00240},
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+ year={2025}
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+ }
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+ ```
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  ## Model Card Authors
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