Tianyi Tang
Also known as 唐天一
Tianyi Tang is a language-model researcher whose work spans text generation, multilingual analysis and Alibaba's Qwen series. He earned B.E. and M.E. degrees at Renmin University of China, where Professor Wayne Xin Zhao advised his research. He coauthored TextBox 2.0, the BAMBOO long-text benchmark and an ACL study of language-specific neurons. His later work includes reports on Qwen2.5, Qwen3 and Qwen3Guard, and in June 2026 he coauthored Qwen-AgentWorld, a report on language world models for seven agent domains. As of October 2026, he is a member of Alibaba's Qwen Team and works on Qwen2.5, QwQ and Qwen3.
Timeline
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2017–2024
Degrees at Renmin University
He earns a B.E. in Renmin University's School of Information in 2021 and an M.E. in the School of Artificial Intelligence in 2024, advised by Professor Wayne Xin Zhao.
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2022
The TextBox 2.0 library
In 2022, he coauthors TextBox 2.0, a text-generation library presented at EMNLP. It covers 13 tasks and 83 datasets.
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2024
The BAMBOO benchmark
In 2024, he coauthors BAMBOO, a benchmark for evaluating long-text modeling in language models. Its 10 datasets cover five long-context tasks, including question answering, hallucination detection and code completion.
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2024
Language-specific neurons
In 2024, he coauthors an ACL study that proposes language activation probability entropy (LAPE) to identify language-specific neurons in LLMs. Its experiments find that language proficiency depends mainly on a small subset of neurons, located in the models' top and bottom layers.
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2024
The Qwen2.5 report
In 2024, he coauthors the Qwen2.5 technical report, which describes Qwen2.5-Turbo and Qwen2.5-Plus as hosted mixture-of-experts variants.
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2025
Qwen3 and Qwen3Guard reports
In 2025, he coauthors the Qwen3 report, which covers dense and mixture-of-experts models. He also coauthors Qwen3Guard; its Stream variant adds token-level safety monitoring during text generation.
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June 2026
The Qwen-AgentWorld report
In June 2026, he coauthors Qwen-AgentWorld, a report that introduces language world models for simulating agent environments across seven domains.
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As of October 2026
Member of Alibaba's Qwen Team
As of October 2026, he is a member of Alibaba's Qwen Team and works on Qwen2.5, QwQ and Qwen3.
Career
- Since 2026AlibabaMember
Education
- 2024Renmin University of ChinaM.E.
- 2021Renmin University of ChinaB.E.
Sources and credits
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- Tianyi Tang / 唐天一 @ Qwen Team
- TextBox 2.0: A Text Generation Library with Pre-trained Language Models - ACL Anthology
- BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models - ACL Anthology
- Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models - ACL Anthology
- Qwen2.5 Technical Report
- Qwen3 Technical Report
- Qwen3Guard Technical Report
- Qwen-AgentWorld: Language World Models for General Agents

