Qwen Technical Report

Junyang Lin (Justin Lin) is a researcher and open-source maintainer known for the Qwen family of models. His public profiles list interests in LLMs, AI agents, multimodal learning, long-horizon reasoning, world models, and reinforcement learning; multiple March 2026 news reports said he stepped down from the Qwen tech lead role.

Research scientist in Tongyi Lab whose official profile highlights large language models, multimodal foundation models, and AI agents.

Senior algorithm expert at Alibaba Group working on large language models, multimodal large language models, and diffusion models.

Bowen Yu is an Algorithm Expert at Qwen (Alibaba Group) working on LLM post-training and automated alignment.

Researcher at Moonshot AI working on multimodal large language models; previously a key member of Alibaba's Qwen team and author of work including Kimi-VL, DeepSeek-VL, and Qwen technical reports.

Jian Yang is an Associate Professor at Beihang University whose research focuses on code intelligence, large language models, and AI agents. He worked with Alibaba Qwen from 2023 to July 2025.

Algorithm expert at Alibaba DAMO Academy focused on natural language generation and large language models.

Yichang Zhang is a research scientist in Alibaba's Tongyi Lab and part of the Qwen team. His public profiles describe work on machine reasoning, agent systems, post-training, synthetic data, evaluation, large language models, multimodal learning, and perception.

Research scientist at Qwen focused on alignment, agentic systems, and multilingual language models; previously worked on post-training at Meta and studied at Renmin University of China.

PhD student at The Hong Kong University of Science and Technology (Guangzhou) whose research interests include large language models, vision-language models, AI agents, and multimodal retrieval.

Ph.D. student in Computer Science at Zhejiang University and researcher on the Qwen series at Alibaba Group.

Chuanqi Tan works on LLM research and applications. His personal homepage says he earned a PhD from Tsinghua University in 2019 and is also a postdoctoral fellow at The University of Hong Kong.

Ph.D. student in Computer Science at Stanford University who previously worked on LLMs and agents with Alibaba's Qwen team.

Benfeng Xu is an LLM post-training researcher at Alibaba Group and an incoming assistant professor at Carnegie Mellon University. His homepage says he works on language models, efficient and trustworthy machine learning, AI for science, and biomedicine.

Engineer on the Qwen team at Alibaba Cloud.

AI researcher whose public work includes large language models, vision-language models, and multimodal systems. His public profile notes prior work as a senior algorithm expert at Alibaba and co-authorship of Qwen technical reports.

Algorithm expert at Alibaba Group working on computer vision, multimodal learning, and large language models.

Shusheng Yang is a research scientist in Tongyi Lab at Alibaba Group. His work focuses on natural language processing and machine learning, especially pre-trained language models, text generation, and efficient NLP.

Yang Fan is a research scientist at Alibaba Group. His homepage says he works on large language model post-training and deployment.

Research scientist at Meta in New York City and research advisor at the UCLA NLP group; previously completed a PhD in computer science at UCLA.

Researcher at Alibaba working on foundation models and agents for enterprise applications.

Machine learning researcher whose public profile highlights work across Berkeley AI Research, RISELab, Sky Computing, and the Ray team.

Researcher at Alibaba DAMO Academy with a background in natural language processing, speech, and recommender systems.

Principal researcher at Tongyi Lab, Alibaba Group, and member of the Qwen team focusing on multimodal large models.