Cross-Lingual Steering for Figurative Language Generation

This research investigates whether internal signals driving figurative language generation in multilingual large language models are language-specific or reusable across languages. The study demonstrated that figurative category directions reliably steer within their own language and, importantly, transfer robustly across languages, indicating a shared component for this capability.