AI RESEARCH
Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation
arXiv CS.CL
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ArXi:2605.14404v1 Announce Type: new While LLMs are increasingly used in commercial services, they pose privacy risks such as leakage of sensitive personally identifiable information (PII). For LLMs trained on multilingual corpora, Multilingual Machine Unlearning (MMU) aims to remove information across multiple languages. However, prior MMU evaluations fail to capture such cross-linguistic distribution of information, being largely limited to direct extensions of per-language evaluation protocols.