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@@ -22,10 +22,12 @@ tokenizer = PreTrainedTokenizerFast.from_pretrained("mmukh/SOBertBase")
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  ### BibTeX entry and citation info
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  ```bibtex
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- @article{mukherjee2023stack,
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- title={Stack Over-Flowing with Results: The Case for Domain-Specific Pre-Training Over One-Size-Fits-All Models},
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  author={Mukherjee, Manisha and Hellendoorn, Vincent J},
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- journal={arXiv preprint arXiv:2306.03268},
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- year={2023}
 
 
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  }
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  ```
 
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  ### BibTeX entry and citation info
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  ```bibtex
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+ @inproceedings{mukherjee2025skill,
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+ title={Skill over Scale: The Case for Medium, Domain-Specific Models for SE},
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  author={Mukherjee, Manisha and Hellendoorn, Vincent J},
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+ booktitle={2025 IEEE/ACM Second International Conference on AI Foundation Models and Software Engineering (Forge)},
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+ pages={212--223},
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+ year={2025},
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+ organization={IEEE}
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  }
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  ```