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MiniMax-01: Scaling Foundation Models with Lightning Attention
Large Language Models report from MiniMax with 38 connected researchers in the LLMpeople atlas.
Connected researchers
Researcher
23 reports
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.
Researcher
4 reports
Yang Yue
MiniMax / Moonshot AI
Researcher at Moonshot AI and co-author of the Kimi K2.5 report on visual agentic intelligence.
Researcher
3 reports
Yusheng Zhao
MiniMax
Research scientist at MiniMax AI Research focused on reinforcement learning, reasoning, multimodal learning, large language models, and large-scale distributed systems. He received a PhD in machine learning from Carnegie Mellon University.
Researcher
2 reports
Xiang Li
MiniMax
Xiang Li is listed as an author of the MiniMax technical report MiniMax-01: Scaling Foundation Models with Lightning Attention.
Researcher
2 reports
Chunlin Li
MiniMax
Chunlin Li is a research scientist at MiniMax.
Researcher
2 reports
Xibin Wu
MiniMax
Public report authorship links Xibin Wu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
3 reports
Qingyang Ge
MiniMax
Public report authorship links Qingyang Ge to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
2 reports
Dawei Feng
MiniMax
Co-founder and research scientist at MiniMax AI Research. He received a PhD from Tsinghua University and works on foundation models, reinforcement learning, and data systems, with publications at major machine learning and NLP venues.
Researcher
3 reports
Wenchao Zhou
MiniMax
Public profiles describe Wenchao Zhou as Director of Data Product and Data Analytics at Alibaba Cloud Intelligence and a former tenured computer science faculty member at Georgetown University. His work centers on databases and distributed systems.
Researcher
2 reports
Yuzeng Li
MiniMax
Public report authorship links Yuzeng Li to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
3 reports
Jinyuan Jia
MiniMax
Researcher working on speech and multimodal language models, including MiniMax-Speech and related speech understanding work.
Researcher
2 reports
Wenbo Bi
MiniMax
Public report authorship links Wenbo Bi to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
3 reports
Ming Ding
MiniMax
Lead of foundation models at MiniMax working on large language models, multimodal pretraining, and efficient training systems. He completed a PhD in computer science at Tsinghua University.
Researcher
5 reports
Jie Zhou
DeepSeek / MiniMax
Public report authorship links Jie Zhou to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
1 reports
Pengyang Wang
MiniMax
Pengyang Wang is listed as an author of the MiniMax technical report MiniMax-01: Scaling Foundation Models with Lightning Attention.
Researcher
2 reports
Siyuan Fan
MiniMax
Public report authorship links Siyuan Fan to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
2 reports
Yu Zhou
MiniMax
Public report authorship links Yu Zhou to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
2 reports
Kaixin Yang
MiniMax
Public report authorship links Kaixin Yang to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
2 reports
Haolin Jia
MiniMax
Public report authorship links Haolin Jia to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
2 reports
Xiao Liu
MiniMax
Public report authorship links Xiao Liu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
2 reports
Qianlin Peng
MiniMax
Public report authorship links Qianlin Peng to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
2 reports
Jiale Zhi
MiniMax
Public report authorship links Jiale Zhi to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
2 reports
Jian Ma
MiniMax
Public report authorship links Jian Ma to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.
Researcher
1 reports
Yichen Zhu
MiniMax
Yichen Zhu is listed as an author of the MiniMax technical report MiniMax-01: Scaling Foundation Models with Lightning Attention.