Multilingual Safety Signals Are Multi-Layered: Filtering Safety-Degrading Data for Safer LLMs
MMSAFE is proposed, a multi-layer framework for multilingual safety-degrading data identification that captures both shared and language-specific safety signals and reduces the average harmful-response ratio compared with random filtering and achieves stronger average performance than the strongest single-layer baselin...
Jia-Kun Li, Guo-Wei Song, Si-Jia Li et al.
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