BabelEdits is a benchmark designed to evaluate cross-lingual knowledge editing (CKE) in Large Language Models (LLMs). It enables robust and effective evaluation across 60 languages by combining high-quality entity translations from BabelNet with marker-based translation. BabelEdits is also accompanied by a modular CKE method, BabelReFT, which supports multilingual edit propagation while preserving downstream model performance.
As LLMs… See the full description on the dataset page:
https://huggingface.co/datasets/umanlp/babeledits.
