Papers with cross-lingual model editing task

1 papers
Language Anisotropic Cross-Lingual Model Editing (2023.findings-acl)

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Challenge: Existing work studies monolingual model editing, which lacks cross-lingual transferability to perform editing simultaneously across languages.
Approach: They propose a framework to naturally adapt monolingual model editing approaches to the cross-lingual scenario using parallel corpus.
Outcome: The proposed framework adapts monolingual model editing approaches to the cross-lingual scenario using parallel corpus and amplifies different subsets of parameters for each language.

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