Sadia Asif
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126
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ML×1AI×1Comp. Eng.×1NLP×1Crypto×1
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2026
RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs
The paper introduces RefusalGuard, a novel fine-tuning framework that preserves the geometric structure of safety-relevant representations in LLMs, thereby mitigating the degradation of refusal behavior during task-specific adaptation.
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