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GLM-4.1V-Thinking and GLM-4.5V: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Multimodal Models report from Z.ai with 12 connected researchers in the LLMpeople atlas.
Connected researchers
Chuanqi Tan
Alibaba Qwen / Z.ai
Chuanqi Tan's homepage says he received a PhD from Tsinghua University in July 2019, is currently focused on LLM research and applications, and is also a postdoctoral fellow at the University of Hong Kong.
Jingren Zhou
MiniMax / Moonshot AI
Jingren Zhou is Chief Technology Officer of Alibaba Cloud. Public speaker biographies describe him as a computer scientist and entrepreneur whose work includes large-scale AI and cloud systems.
Yichi Zhang
Moonshot AI / Z.ai
Researcher at Moonshot AI and co-author of the Kimi K2.5 report on visual agentic intelligence.
Zhifeng Chen
Google Gemini / Z.ai
Zhifeng Chen's public homepage describes him as a distinguished software engineer at Google Brain focused on large-scale computer systems and machine learning applications.
Yipeng Wang
Z.ai
Z.ai report author listed on GLM-Z1, GLM-4.5, GLM-4.1V/4.5V, and GLM-5 materials, with report-backed work on reasoning, coding, agentic, and multimodal models.
Zihan Jiang
Z.ai
Z.ai report author listed on GLM-Z1, GLM-4.5, GLM-4.1V/4.5V, and GLM-5 materials, with report-backed work on reasoning, agentic, and multimodal models.
Yuxuan Hu
Z.ai
Co-author of GLM-4.1V-Thinking and GLM-4.5V, multimodal reasoning models trained with scalable reinforcement learning.
Zhang Zhang
Z.ai
Public report authorship links Zhang Zhang to the GLM-5: Thinking, Coding, and Agentic Intelligence at Z.ai.
Xi Chen
Z.ai
Xi Chen is listed as an author of the Z.ai technical report GLM-4.1V-Thinking and GLM-4.5V: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.
Ling Chen
Z.ai
Z.ai researcher focused on multimodal large language models and computer vision, with interests in large-model training and post-training.
Zhenyang Wu
Z.ai
Research scientist at Z.ai with research interests in multimodal understanding and generation, large language models, and reinforcement learning. He received a bachelor's degree from the University of Science and Technology of China and a master's degree from Tsinghua University.
Hao Xu
Z.ai
Research scientist at Z.ai focused on multimodal understanding and generation, reinforcement learning, AI agents, and end-to-end models. He received a bachelor's degree from Tsinghua University and a master's degree from Peking University.