Uncovering the Potential Risks in Unlearning: Danger of English-only Unlearning in Multilingual LLMs
NeutralArtificial Intelligence
A recent study highlights the risks associated with unlearning multilingual knowledge in language models when relying solely on English data. The research emphasizes that merely erasing multilingual capabilities is not effective for multilingual LLMs, as it overlooks critical evaluation aspects. This matters because it sheds light on the complexities of language processing in AI, urging developers to consider more comprehensive approaches that respect the multilingual nature of data.
— Curated by the World Pulse Now AI Editorial System




