Qwen2.5 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.

Algorithm Engineer at the Qwen Team, Alibaba Group. He received his Ph.D. in computer science from Beihang University in 2024 and works on post-training alignment for Qwen models, with research interests in large language models, graph neural networks, and recommender systems.

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

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.

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

Ph.D. candidate at the University of Science and Technology of China whose research focuses on improving the general reasoning abilities of foundational large language models, LLMs for recommendation, and scaling reinforcement reasoning; he lists himself as a core contributor to the Qwen2.5 and Qwen3 technical reports.

Senior Research Manager and Senior Director at Tongyi Lab, Alibaba Group, leading agents and AI infrastructure research.

Research Scientist on the Qwen team at Alibaba Cloud.

Chengyuan Li is a research intern with Alibaba's Qwen team. His homepage highlights work on reasoning and post-training for large language models.

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.

Research scientist in Tongyi Lab whose official profile highlights multimodal large language models, efficient reasoning, and AI infrastructure.

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

Yu Wan is a Qwen contributor and co-author listed on the Qwen, Qwen2.5, and Qwen3 technical reports.

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.

Research scientist at Alibaba DAMO Academy focusing on aligning and scaling superintelligence.

Member of the Qwen Team at Alibaba Group and a Ph.D. candidate at the Institute of Automation, Chinese Academy of Sciences. His research interests include multimodal reasoning and agents.

Researcher at Qwen, Alibaba Group since 2021, with publications on large language model evaluation and pre-training data management.

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

Researcher at Alibaba Qwen; formerly a postdoctoral researcher at the University of Cambridge and a PhD in NLP at the University of Edinburgh.

Researcher with public work on large language models. Official Qwen materials credit her on Qwen releases, and public profiles include DBLP and OpenReview.