Researchers have developed a method to enrich English-language biographies with information from non-English Wikipedia editions. They created a benchmark of 300 pairs of biographies in different languages, including French, Chinese, and Azerbaijani, along with annotated claims. The team's framework extracts claims from both biographies, aligns them to identify relevant evidence, and rewrites the English biography accordingly. According to their results, non-English Wikipedia biographies can provide valuable information for improving English biography coverage, but challenges remain in lower-resource settings. --- Why it matters: This work matters because it highlights the potential of cross-lingual collaboration in AI research, particularly in the context of knowledge graph construction and entity disambiguation. By leveraging multilingual data, researchers can improve the accuracy and completeness of biographies, which is crucial for applications like search engines, recommendation systems, and natural language processing. Source: https://arxiv.org/abs/2608.23390