WU JUNCHAO

Research Interests

  • Explainable & Trustworthy AI & Safety: LLM-Generated Text Detection; Hallucination Detection & Mitigation; Internal interpretability of LLMs; Cybersecurity Ability of LLMs
  • Machine Translation: Low-Resource, LLM-based MT (Document-Level; Culture; Idioms)
  • Other Interests: Knowledge Graphs and Ontology, Public Opinion Analysis

News

Publications

2025

RepreGuard: Detecting LLM-Generated Text by Revealing Hidden Representation Patterns

Xin Chen*, Junchao Wu *, Shu Yang, Runzhe Zhan, Zeyu Wu, Ziyang Luo, Di Wang, Min Yang, Lidia S. Chao, Derek F. Wong†

Transactions of the Association for Computational Linguistics (TACL) 2025

[PAPER] [CODE]

Is Long-to-Short a Free Lunch? Investigating Inconsistency and Reasoning Efficiency in LRMs

Shu Yang, Junchao Wu , Xuansheng Wu, Derek F. Wong, Ninhao Liu, Di Wang†

arxiv (Under Review) 2025

[PAPER] [CODE]

Overview of CCL25-Eval Task 4: Factivity Inference Evaluation 2025

Guanliang Cong, Junchao Wu , Yang Chen, Tianqi Xun, Derek F. Wong, Bin Li, Yulin Yuan†

CCL Evalation Workshop 2025

[PAPER] [CODE]

Overview of the NLPCC 2025 Shared Task 1: LLM-Generated Text Detection

Junchao Wu , Runzhe Zhan, Qianli Wang, Yulin Yuan, Lidia S. Chao, and Derek F. Wong†

NLPCC 2025

[PAPER] [CODE]

Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore

Junchao Wu , Runzhe Zhan, Derek F. Wong†, Shu Yang, Xuebo Liu, Lidia S. Chao, Min Zhang

COLING 2025

[PAPER] [CODE]

Understanding Aha Moments: From External Observations to Internal Mechanisms

Shu Yang, Junchao Wu , Xin Chen, Yunze Xiao, Xinyi Yang, Derek F. Wong, Di Wang†

arxiv (Under Review) 2025

[PAPER] [CODE]

Rethinking Prompt-based Debiasing in Large Language Models

Xinyi Yang, Runzhe Zhan, Derek F. Wong†, Shu Yang, Junchao Wu , Lidia S. Chao

ACL Findings 2025

[PAPER] [CODE]

Fraud-R1: A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements

Shu Yang, Shenzhe Zhu, Zeyu Wu, Keyu Wang, Junchi Yao, Junchao Wu , Lijie Hu, Mengdi Li, Derek F Wong, Di Wang†

ACL Findings 2025

[PAPER] [CODE]

2024

A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions

Junchao Wu , Shu Yang, Runzhe Zhan, Yulin Yuan†, Derek F. Wong†, Lidia S. Chao

Computational Linguistics 2024

[PAPER] [CODE]

DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios

Junchao Wu , Runzhe Zhan, Derek F. Wong†, Shu Yang, Xinyi Yang, Yulin Yuan, Lidia S. Chao

NeurIPS 2024

[PAPER] [CODE]

2023

Human-in-the-loop Machine Translation with Large Language Model

Xinyi Yang, Runzhe Zhan, Derek F. Wong†, Junchao Wu , Lidia S. Chao

Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track 2023

[PAPER] [CODE]

2021

“The Canton Canon” Digital Library Based on Knowledge Graph - Taking the Revolutionary Archives of Canton in the Republic of China as an Example

Junchao Wu , Ying Jiang†, Xin Chen, Lingyu Guo, Xiaotong Wei and Xiaoyan Yang

ICEIT(2021 IEEE 10th International Conference on Educational and Information Technology)2021 2021

[PAPER] [CODE]
Best Oral Presentation Award (5/57)


Services

  • Conference Reviewer: ACL ARR, ICML, ICLR, NeurIPS, CCL, NLPCC
  • Journal Reviewer: Proc. IEEE, IEEE TIFS, ACM TALLIP, ACM TIST
  • Student Volunteer: MT Summit 2023
  • Teaching Assistant
    • Computational Linguistics (MSc) programme (2023 Fall)
    • AHGC7315 Language and Linguistics (2023 Spring)

Experience

  • Alibaba Group - Research Intern (Jul. 2025 - Present)
  • PRADA Lab, KAUST - Visiting Research Intern (Mar. 2025 - Jun. 2025)

Professional skills

  • English Level: IELTS(6.5), CET-6(507)
  • Programming Languages: C, Python, Java, JavaScript, SQL, Bash
  • Development Frameworks: SpringBoot, React.js, Flask
  • Deep Learning Tools: Scikit-learn, PyTorch, Fairseq, Transformers
  • DB Tools: Neo4j, MySQL, Oracle DB
  • Other Tools: WebLogic, Apache Ant, Jena, Git

Others

  • 🎓 If you are also interested in natural language processing and machine translation, you can follow my lab and lab members: NLP2CT LAB, I love them.
  • Zhan Runzhe is my current advisor, who focus on machine translation and LLMs. He is a brilliant scientist and one of the nicest people I have ever met.
  • 🌈Chen Xin is one of my best friends, who is a incoming PhD student at Nanjing University and is also committed to NLP research., he has many interesting dreams.

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