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@@ -238,18 +238,11 @@ Performance on the bioinspired benchmark (testing with domain questions to asses
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  Please cite as:
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  ```bibtex
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- @article{Buehler2024DomainLLMs,
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- title={Experimental analyses of fine-tuning large language models for domain adaptation for emergent capabilitiesy},
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- author={Markus J. Buehler, et al.},
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- journal={arXiv preprint arXiv:XXX.YYYYY},
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- year={2024}
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- }
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-
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- @article{Buehler2024DomainLLMs,
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- title={Fine-tuned domain-focused language modeling for applications in scientific analysis, ideation and discovery},
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- author={Markus J. Buehler, et al.},
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- journal={arXiv preprint arXiv:XXX.YYYYY},
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- year={2024}
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  }
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  @article{LuuBuehler2023bioinspiredLLM,
 
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  Please cite as:
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  ```bibtex
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+ @article{LuLuuBuehler2024,
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+ title={Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities},
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+ author={Wei Lu and Rachel K. Luu and Markus J. Buehler},
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+ journal={arXiv: https://arxiv.org/abs/2409.03444},
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+ year={2024},
 
 
 
 
 
 
 
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  }
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  @article{LuuBuehler2023bioinspiredLLM,