I am a forth-year Ph.D. student in Computer Science at NLP2CT Lab, University of Macau. I am fortunately advised by Prof. Derek F. Wong and collaborated with 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.
Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost (2025)
Runzhe Zhan, Zhihong Huang, Xinyi Yang, Lidia S. Chao, Min Yang, Derek F. Wong
NeurIPS 2025.
Rethinking Prompt-based Debiasing in Large Language Models (2025)
Xinyi Yang, Runzhe Zhan, Derek F. Wong, Shu Yang, Junchao Wu, Lidia S Chao
ACL 2025 Findings.
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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.
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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
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
RepreGuard: Detecting LLM-Generated Text by Revealing Hidden Representation Patterns (2025)
Xin Chen, Junchao Wu, Shu Yang, Runzhe Zhan, Zeyu Wu, Ziyang Luo, Di Wang, Min Yang, Lidia S Chao, Derek F. Wong
TACL (Transactions of the Association for Computational Linguistics).
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Why Do Metrics Think That? Towards Understanding Large Language Models as Machine Translation Evaluators (2025)
Runzhe Zhan, Xinyi Yang, Junchao Wu, Lidia S Chao, Derek F. Wong
ICML 2025 @Actionable Interpretability.
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).
PDF
Let’s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model (2025)
Haoyun Xu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao
COLING 2025.
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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
COLING 2025.
PDF
A Survey on LLM-generated Text Detection: Necessity, Methods, and Future Directions (2024)
Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Derek F. Wong, Lidia S. Chao
Computational Linguistics.
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Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner (2024)
Shudong Liu, Zhaocong Li, Xuebo Liu, Runzhe Zhan, Derek Wong, Lidia Chao, Min Zhang
EMNLP 2024.
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Multi-Level Curriculum Learning for Multi-Turn Dialogue Generation (2023)
Guanhua Chen, Runzhe Zhan, Derek F. Wong, Lidia S. Chao
IEEE TASLP (31).
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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
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.
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Last Update:2024/12. Template Credit.