Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning
Multilingual reasoning is overdue. Most models reason in English regardless of input language, which is a real usability problem for non-English users. This work is data-centric and reproducible at modest scale, so it's actionable. If you're fine-tuning models for global users, the techniques here (composition, scheduling) are worth testing. The bigger question is whether frontier models will adopt this.