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Intro

My name is Yu WAN (万宇). I got my Master’s degree at NLP lab, Xiamen University, advised by Prof. Yidong CHEN, and Ph.D degree at NLP2CT Lab, University of Macau, advised by Prof. Derek F. WONG. I’m currently a researcher focusing on multilingualism and interpretability of Qwen.

Research Interests

  • natural language processing
  • machine learning
  • machine translation
  • translation quality estimation and metric
  • large language models

Experience

  • 2026.10: Our paper titled Do Benchmarks Measure the Same Thing? Evaluation-Free Benchmark Redundancy Analysis with SAE just won an Outstanding Paper Award at EMNLP’26. Congrats to all coauthors! Paper link

  • 2026.4: We released Qwen-Scope, aiming to deliver interpretability for Qwen model series. See the blog.

  • 2026.2: Open-sourced Qwen 3.5 model series. See the blog.

  • 2025.7: Qwen-MT: Where Speed Meets Smart Translation. See the blog.

  • 2025.4: Open-sourced Qwen 3 series. See the blog.

  • 2024.9: Open-sourced Qwen 2.5 series. See the blog.

  • 2024.5: Open-sourced Qwen 2 series. See the blog.

  • 2024.1: Open-sourced Qwen 1.5 series. See the blog

  • 2023.6 - Present, Researcher, Tongyi Lab, Alibaba Group

  • 2020.5 - 2023.5, Research Intern, DAMO Academy, Alibaba Group
  • 2018.8 - 2023.4, Ph.D. Candidate, NLP2CT Lab, University of Macau
  • 2014.9 - 2017.6, Postgraduate, Master Student, NLP Lab, Xiamen University