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Xun Zhou

Xun Zhou is publicly listed as a coauthor on ByteDance Seed research including Seed1.5-Thinking on reasoning with reinforcement learning, Hyper-Connections on neural network architecture for large language model pre-training, and Expert Race on diffusion transformers with mixture-of-experts routing.

Publicly listed ByteDance Seed coauthor on work spanning LLM reasoning, transformer architecture, and diffusion MoE models.1 organizations1 reports

Profile status: updated

updated 3 public sources
reinforcement learninglarge language modelsdiffusion modelsmixture of experts

Current frame

Publicly listed ByteDance Seed coauthor on work spanning LLM reasoning, transformer architecture, and diffusion MoE models.

Organizations

core ByteDance Seed

Reports

Reasoning Models Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning

Official and primary sources

Hyper-Connections Official source · openreview · OpenReview Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts Official source · team_page · ByteDance Seed

Supporting sources

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning Supporting source · report · arXiv