Leyi Pan

Leyi Pan

Master's Student @ Tsinghua University

About Me

Hi! My name is Leyi Pan (潘乐怡). I am a first-year master’s student at the School of Software in Tsinghua University, where I am advised by Prof. Lijie Wen. Before that, I received my B.Eng. degree from the School of Software in Tsinghua University in 2024.

My research areas include:

  • Watermark for AIGC, including watermark for large language models and watermark for diffusion models.
  • Post-training methods to enhance reasoning capabilities of multimodal large language models.
  • Omni-modal large language models (i.e. audio-visual large language models).
  • Diffusion large language models (DLLM).

I am currently serving as a Research Intern at Tongyi Lab of Alibaba, where I am working under the supervision of Dr. Yunpeng Zhai.

Previously, I was working at Zhipu AI under the supervision of Dr. Shiyu Huang. I also served as a Research Assistant at CUHK MISC Lab, working under the supervision of Prof. Irwin King (ACM Fellow, IEEE Fellow).

Education

Tsinghua University Logo
Tsinghua University, China
Master's Student in Software Engineering
Sept. 2024 - June 2027 (Expected)
Tsinghua University Logo
Tsinghua University, China
B.E. in Software Engineering
Sept. 2020 - June 2024

Work Experience

Tongyi Logo
Tongyi Lab, Alibaba Group, China
Research Intern
Jul. 2025 - Present
Zhipu Logo
AI Lab, Zhipu AI, China
Research Intern
Oct. 2024 - Jun. 2025
CUHK Logo
The Chinese University of Hong Kong (CUHK)
Research Assistant
Jun. 2024 - Aug. 2024
KuaiShou Logo
KuaiShou Technology, China
Software Engineer Intern
Jun. 2023 - Aug. 2023

Research Paper

Watermark for AIGC

paper
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?

Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu

Proceedings of ACL 2025

[Paper] [Code]

paper
WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents

Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Shiyu Huang, Lijie Wen, Irwin King, Philip S. Yu

Findings of NAACL 2025, AAAI 2025 Workshop PDLM (Oral)

[Paper] [Code]

paper
MarkLLM: An Open-Source Toolkit for LLM Watermarking

Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu

Proceedings of EMNLP 2024 Demo

[Paper] [Code] [Google Colab] [机器之心]

paper
A Survey of Text Watermarking in the Era of Large Language Models

Aiwei Liu*, Leyi Pan*, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu

ACM Computing Surveys

[Paper] [Home] [机器之心] [Twitter]

paper
Can Watermarked LLMs be Identified by Users via Crafted Prompts?

Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu

Proceedings of ICLR 2025

[Paper] [Code]

paper
A Semantic Invariant Robust Watermark for Large Language Models

Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen

Proceedings of ICLR 2024

[Paper] [Code]

paper
An Unforgeable Publicly Verifiable Watermark for Large Language Models

Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu

Proceedings of ICLR 2024

[Paper] [Code]

MLLM Reasoning

paper
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Wenyi Hong, Wenmeng Yu, Xiaotao Gu, Guo Wang, Guobing Gan, Haomiao Tang, Jiale Cheng, Ji Qi, Junhui Ji, Lihang Pan, Shuaiqi Duan, Weihan Wang, Yan Wang, Yean Cheng, Zehai He, Zhe Su, Zhen Yang, Ziyang Pan, Aohan Zeng, Baoxu Wang, Boyan Shi, Changyu Pang, Chenhui Zhang, Da Yin, Fan Yang, Guoqing Chen, Jiazheng Xu, Jiali Chen, Jing Chen, Jinhao Chen, Jinghao Lin, Jinjiang Wang, Junjie Chen, Leqi Lei, Leyi Pan, Mingzhi Zhang, Qinkai Zheng, Sheng Yang, Shi Zhong, Shiyu Huang, Shuyuan Zhao, Siyan Xue, Shangqin Tu, Shengbiao Meng, Tianshu Zhang, Tianwei Luo, Tianxiang Hao, Tianle Gong, Wenkai Li, Wei Jia, Xin Lyu, Xuancheng Huang, Yanling Wang, Yadong Xue, Yanfeng Wang, Yifan An, Yifan Du, Yiming Shi, Yiheng Huang, Yilin Niu, Yuan Wang, Yuanchang Yue, Yuchen Li, Yutao Zhang, Yuxuan Zhang, Zhanxiao Du, Zhenyu Hou, Zhao Xue, Zhengxiao Du, Zihan Wang, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Minlie Huang, Yuxiao Dong, Jie Tang

Technical Report of GLM-4.1V-Thinking

[Technical Report] [Code]

Omni-modal Large Language Models

paper
Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models

Leyi Pan, Zheyu Fu, Yunpeng Zhai, Shuchang Tao, Sheng Guan, Shiyu Huang, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Felix Henry, Lijie Wen, Aiwei Liu

arXiv preprint. arXiv:2508.07173

[Paper] [Code] [Data]

paper
OmniPlay: Benchmarking Omni-Modal Models on Omni-Modal Game Playing

Fuqing Bie, Shiyu Huang, Xijia Tao, Zhiqin Fang, Leyi Pan, Junzhe Chen, Min Ren, Liuyu Xiang, Zhaofeng He

arXiv preprint. arXiv:2508.04361

[Paper] [Code]

Diffusion Large Language Models

paper
A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models

Lingzhe Zhang*, Liancheng Fang*, Chiming Duan*, Minghua He*, Leyi Pan*, Pei Xiao, Shiyu Huang, Yunpeng Zhai, Xuming Hu, Philip S. Yu, Aiwei Liu*

arXiv preprint. arXiv:2508.08712

[Paper]

Project

🏆 First Author & First Contributor
An Open-Source Toolkit for LLM Watermarking (EMNLP 2024 Demo)

Language Stars Forks Last Commit


GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Language Stars Forks Last Commit


🏆 First Author & First Contributor
Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models

Language Stars Forks Last Commit


Awards

  • Outstanding Graduate of Beijing (北京市优秀毕业生)
  • Outstanding Graduate of Tsinghua (清华大学优良毕业生)
  • Tsinghua Outstanding Graduation Project (清华大学优秀毕业设计)
  • Tsinghua Excellent Student Award (清华大学综合优秀奖学金)
  • Outstanding Student Cadre of Tsinghua University (清华大学优秀学生干部)

Contact

  • Email:
    • panly24@mails.tsinghua.edu.cn
    • panleyi2003@gmail.com

Services

  • Reviewer:
    • ACL ARR 2025 May Reviewer
    • The 2025 Conference on Empirical Methods in Natural Language Processing, System Demonstration Track (EMNLP 2025 Demo)
    • The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2025)
    • The Thirteenth International Conference on Learning Representations (ICLR 2025)