Kimi K2.5: Visual Agentic Intelligence

Public report authorship links Wei Wang to Qwen Technical Report, Qwen-Image-2.0 Technical Report, and Kimi K2.5.

Hao Yang works on multimodal data infrastructure at Moonshot.ai. He previously worked at ByteDance ICVG and Microsoft Research Asia, and received BS and PhD degrees from Tsinghua University.

Northwestern PhD student working on agentic RL, previously interned at DeepSeek, Microsoft, and Yutori.

Haoyu Lu is a Ph.D. student at Renmin University of China working on multimodal foundation models and video understanding. His homepage highlights papers and code including DeepSeek-VL, UniAdapter, and VDT.

Research Scientist at Moonshot AI whose public work focuses on large language models, multimodal models, and embodied AI; he previously earned a PhD from Zhejiang University and was a visiting student at Oxford.

Research scientist at Moonshot AI focused on machine learning systems; public profiles note prior PhD study at the Max Planck Institute and Technical University of Munich.

Technical Staff at Moonshot AI.

Researcher and co-author of the Kimi-VL Technical Report and Kimi K2.5: Visual Agentic Intelligence.

PhD student at the University of Hong Kong who worked as a research intern at Moonshot AI in 2025 and studies digital agents, computer-use agents, and multimodal intelligence.

Research scientist at Moonshot AI with public profiles covering large language models, diffusion models, and generative AI.

Technical staff member at Moonshot AI whose public profile highlights work on web and app agents, multimodal systems, reinforcement learning, and LLMs.

Researcher and co-author of the Kimi-VL Technical Report and Kimi K2.5: Visual Agentic Intelligence.

Research scientist at Moonshot AI focused on large multimodal models and large language model post-training.

Technical staff member at Moonshot AI and machine learning researcher; public profiles note prior study at the Gaoling School of AI at Renmin University of China.

Dikang Du is a research scientist at Moonshot AI. His homepage says he received a Ph.D. from Cornell University and works on natural language processing, machine learning, and multimodal learning.

Dongliang Wang is a research scientist at Moonshot AI whose public profiles highlight multimodal large language models. His homepage also notes earlier PhD work at Shanghai AI Lab and Shanghai Jiao Tong University.

Research scientist at Moonshot AI with public scholarly work on multimodal learning and generative models.

PhD student in Computer Science at the University of Hong Kong. His research interests include multimodal large language models and embodied AI, and he co-authored the Kimi-VL technical report.

Research Scientist at Moonshot AI.

Researcher and engineer focused on reinforcement learning and embodied intelligence; his public profile lists work spanning Huawei Noah's Ark Lab, Momenta, Moonshot AI, and XVI Robotics, and he is credited on Moonshot AI technical reports.

Research scientist at Moonshot AI whose work focuses on large foundation models and multimodal models.

Research scientist at Moonshot AI with public scholarly work on multimodal learning and computer vision.

Technical staff member at Moonshot AI working on general AI agents, reinforcement learning, and multimodal foundation models.

Researcher at NVIDIA Research. Previously a PhD student in Computer Science and Engineering at HKUST, with earlier internships at International Digital Economy Academy and Microsoft Research.

Canonical link

Wei Wang

Hao Yang

Zihan Wang

Haoyu Lu

Angang Du

Bohong Yin

Bowei Xing

Bowen Qu

Bowen Wang

Cheng Chen

Chenzhuang Du

Chu Wei

Congcong Wang

Dehao Zhang

Dikang Du

Dongliang Wang

Enming Yuan

Enzhe Lu

Fang Li

Flood Sung

Guokun Lai

Hao Ding

Hao Hu

Hao Zhang