Kimi k1.5: Scaling Reinforcement Learning with LLMs

Mingxiao Li is a machine learning researcher focused on vision-language models, generative models, and multimodal learning. His public homepage lists a PhD at KU Leuven, and public research outputs also list him with Moonshot AI Ltd. affiliation.

DeepSeek researcher focused on NLP, code intelligence, and LLM reasoning, with public work spanning DeepSeek-Coder, DeepSeekMath, DeepSeek-V2, DeepSeek-V3, and DeepSeek-R1.

Researcher at Moonshot AI focused on reinforcement learning and robotics. He earned a Ph.D. in robotics and machine learning from Carnegie Mellon University.

Ph.D. candidate in computer science at Princeton University working on LLM agents and machine learning. He is a coauthor of Moonshot AI's Kimi k1.5 report.

Alibaba senior technology leader and researcher associated with Qwen. Public profiles list him with Alibaba Group, and official Alibaba Cloud coverage identifies him as a chief technology officer leading large-model work.

Jie Zhou is a Moonshot AI contributor and co-author of Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Aimin Yang is a Moonshot AI contributor and co-author of Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Xiao Wang is a Moonshot AI contributor and co-author of Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Xixuan Song is a Moonshot AI contributor and co-author of Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Yingtao Zhang is a Moonshot AI contributor and co-author of Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Applied research scientist at Moonshot AI Labs working on large language model reasoning and multimodal systems.

Canonical link

Mingxiao Li

Daya Guo

Fangzhou Su

Yuxi Xie

Jingren Zhou

Jie Zhou

Aimin Yang

Xiao Wang

Xixuan Song

Yingtao Zhang

Yutao Zhou