Toward Generalized Cross-Lingual Hateful Language Detection with Web-Scale Data and Ensemble LLM Annotations

Research paper on detecting hateful language across multiple languages at web scale using ensemble LLM annotations. Addresses a critical content moderation gap where systems trained on English often fail on non-English content. The ensemble LLM approach provides a practical methodology for building more robust multilingual safety systems.