Is continuous CoT better suited for multi-lingual reasoning?

ArXi:2603.08177v1 Announce Type: cross We investigate whether performing reasoning in a continuous latent space leads to robust multilingual capabilities. We compare Continuous Chain-of-Thought (using the CODI framework) against standard supervised fine-tuning across five typologically diverse languages: English, Chinese, German, French, and Urdu. Our experiments on GSM8k and CommonsenseQA nstrate that continuous reasoning significantly outperforms explicit reasoning on low-resource languages, particularly in zero-shot settings where the target language was not seen during.