Dimensions overall score 8.0

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• GR-SAP synthesizes domain-specific alignment data from LLMs to preserve safety alignment during fine-tuningmethod 95%
• Safety alignment of LLMs can be easily compromised by seemingly non-adversarial fine-tuningtechnical 90%
• Original alignment data is typically inaccessible even for open-weight LLMslimitation 85%
• Synthetic alignment data serves as a reliable proxy for original alignment dataresult 88%
• GR-SAP substantially mitigates fine-tuning-induced safety degradationresult 92%
• GR-SAP maintains comparable downstream performance while preserving safetyresult 90%
• GR-SAP is inspired by generative replay in continual learningmethod 95%
• A widely used strategy to preserve safety alignment is joint optimization with original alignment datatechnical 85%

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