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Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning

arXiv · AI, language, vision and robotics · article · Sep 9, 2026 · UTC

Reasoning language models have made substantial advances on a variety of complex tasks, yet their capabilities remain overwhelmingly English-centric: models primarily reason in English regardless of the language they are prompted in. This is inaccessible for non-English-speaking users, risks losing the intent of the original question, and forgoes knowledge more readily expressed in the target language. In this work, we advance L2 reasoning, the ability of a model to reason consistently in the language of the user's prompt, thus building an in-language bridge between the prompt and the answer.

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