Runzhe Zhan

About Me

I am a third-year Ph.D. student in Computer Science at NLP2CT Lab, University of Macau. I am fortunately advised by Prof. Derek F. Wong and co-advised by Prof. Xuebo Liu. I had the privilege of being under the guidance of Prof. Yue Zhang during my visit to Westlake University. I am passionate about machine translation and multilingual language model.

Research Interests

• Machine Translation: Adaptation, Evaluation, Low-Resource & Minority
• ML for Language Modelling: Transferability, Multilinguality

Publications

Selected:

• Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model (2024)
  Runzhe Zhan, Xinyi Yang, Derek F. Wong, Lidia S. Chao, Yue Zhang
  ACL 2024 Findings.
  PDF Code (Soon)

• Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization (2023)
  Runzhe Zhan, Xuebo Liu, Derek F. Wong, Cuilian Zhang, Lidia S. Chao, Min Zhang
  ACL 2023.
  PDF Code Poster Oral Slides

• Human-in-the-loop Machine Translation with Large Language Model (2023)
  Xinyi Yang, Runzhe Zhan, Derek F. Wong, Junchao Wu, Lidia S. Chao
  MT Summit 2023.
  PDF Code

• Variance-Aware Machine Translation Test Sets (2021)
  Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
  NeurIPS 2021 (Datasets and Benchmarks Track).
  PDF Code

• Difficulty-Aware Machine Translation Evaluation (2021)
  Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
  ACL 2021.
  PDF Code

• Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation (2021)
  Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
  AAAI 2021.
  PDF Code

Others:

• DetectEval: Benchmarking LLM-Generated Text Detection in Real-World Scenarios (2024)
  Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xinyi Yang, Yulin Yuan, Lidia S. Chao
  NeurIPS 2024 (Datasets and Benchmarks Track).

• Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore (2024)
  Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xuebo Liu, Lidia S. Chao, Min Zhang
  arXiv Pre-print.
  PDF

• Let’s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model (2024)
  Haoyun Xu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao
  arXiv Pre-print.
  PDF

• A Survey on LLM-generated Text Detection: Necessity, Methods, and Future Directions (2023)
  Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Derek F. Wong, Lidia S. Chao
  arXiv Pre-print.
  PDF

• Multi-Level Curriculum Learning for Multi-Turn Dialogue Generation (2023)
  Guanhua Chen, Runzhe Zhan, Derek F. Wong, Lidia S. Chao
  IEEE TASLP (31).
  PDF

• Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System (2023)
  Jingkun Ma, Runzhe Zhan, Derek F. Wong
  EACL 2023 (Demo).
  PDF Demo

• Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge (2023)
  Xuebo Liu, Yutong Wang, Derek F. Wong, Runzhe Zhan, Liangxuan Yu, Min Zhang
  ACL 2023.
  PDF

• TransGEC: Improving Grammatical Error Correction with Translationes (2023)
  Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
  ACL 2023 Findings.
  PDF

Services

• Conference Reviewer: ACL ARR (2023, 2024), NeurIPS (2022-2024), ICLR (2023, 2024), AAAI (2024), COLM (2024), ACL (2023), EMNLP (2023), NeurIPS DS Track (2021, 2022), COLING (2024), ICML (2022), CCL (2023, 2024), NLPCC (2024)
• Journal Reviewer: IEEE TNNLS, IEEE TALLIP

Honors & Awards

• Top Reviewer, NeurIPS 2024
• Outstanding Reviewer, EMNLP 2024
• National Scholarship, P.R. China (2018)
• The First Prize Scholarship, Suzhou University (2016, 2017, 2018)
• Merit Student Awards, Suzhou University (2016, 2017, 2018)

Education

• 2021 - Present: Ph.D. student in Computer Science at University of Macau
  • Transferred from M.S. programme through UM accelerated entry
• 2019 - 2021: M.S. student (Transferred Out) in Data Science at University of Macau
  • GPA: 3.95/4.00
• 2015 - 2019: B.Eng. in Computer Science from Suzhou University
  • GPA: 91.80/100, Rank:1/69

Experience

• Visiting Student
  • Westlake University (2023.10 - 2024.03), Hosted by Prof. Yue Zhang.
• Teaching Assistant
  • CISC7021 Applied Natural Language Processing (2022 Fall)
  • CISC7204 Data Science and Data Visualization (2020, 2021 Fall)
    • Visualization demo projects: Global Terrorism Visualization, Bilibili Danmaku Visualization

Last Update:2024/05. Template Credit.