AI Research
Guardrail Erosion in Domain Fine-Tuned Large Language Models: A Paired Audit of Knowledge-Centric Abstention in Biomedical LLMs
A paired audit examines knowledge-centric abstention in biomedical fine-tuned models
The number of domain fine-tuned models, particularly in the biomedical domain, is rapidly expanding.
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ArXiv CS.CL
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ArXiv CS.CL
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As biomedical fine-tuned models proliferate, their ability to abstain appropriately becomes an important safety question. A paired audit can help examine whether domain adaptation erodes that guardrail.
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