Runxin Xu

Xu was a core contributor to DeepSeek-V3 and DeepSeek-R1. V3 used a sparse architecture that activates only part of the model for each piece of text, reducing computing costs, while R1 showed how reinforcement learning could produce strong reasoning behavior. He has continued this work on later open DeepSeek models.