Shujian Huang

PCS narrows the reasoning performance gap between English and other languages in LRM applications, achieving language consistency without heavy resource demands.

Multilingual reasoning in LLMs isn't just about translation—it's a powerful knob for improving RL training by expanding the exploration space and boosting exploitation.

Machine translation gets a boost: a new reward model leverages comparative analysis of candidate translations to unlock reasoning abilities comparable to SOTA reasoning models.