๐Ÿ‘‹ About Me

Hi! My name is Aiwei Liu (ๅˆ˜็‘ท็Žฎ). I am a final-year Ph.D. 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 Software Institue in Nanjing University in 2020.

Currently, Iโ€™m serving as a Visiting Scholar at the UIC BDSC Lab, working under the supervision of Prof. Philip S. Yu (ACM Fellow, IEEE Fellow).

Previously, I was a research intern at Appleโ€™s AIML Group, where I worked under the supervision of Dr. Meng Cao.

Additionally, I was serving as a Visiting Scholar at CUHK MISC Lab, working under the supervision of Prof. Irwin King (ACM Fellow, IEEE Fellow).

โญ Research Highlights

LLM Watermarking Overview
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 (Spotlight)

LLM Watermarking Overview
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights

Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao

Proceedings of ICLR 2025

LLM Watermarking Overview
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

LLM Watermarking Overview
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 (IF: 23.8)

LLM Watermarking Overview
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation

Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen

Proceedings of ACL 2024

LLM Watermarking Overview
A Semantic Invariant Robust Watermark for Large Language Models

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

Proceedings of ICLR 2024

LLM Watermarking Overview
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

LLM Watermarking Overview
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing

Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen

Findings of ACL 2023

LLM Watermarking Overview
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution

Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen

Proceedings of EMNLP 2022

LLM Watermarking Overview
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph

Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen

Proceedings of SIGKDD 2022

๐Ÿ”ฅ News

  • 2025.01: ๐ŸŽ‰๐ŸŽ‰ Two papers are accepted by NAACL 2025.
  • 2025.01: ๐ŸŽ‰๐ŸŽ‰ Three papers are accepted by ICLR 2025.
  • 2024.10: ๐ŸŽ‰๐ŸŽ‰ Excited to announce the our paper: MarkLLM: An Open-Source Toolkit for LLM Watermarking is accepted by EMNLP 2024 Demo Track.
  • 2024.09: ๐ŸŽ‰ One paper about Retrieval-Augmented Large Language Models is accepted by EMNLP 2024.
  • 2024.08: ๐ŸŽ‰๐ŸŽ‰ Excited to announce the our paper: โ€œA Survey of Text Watermarking in the Era of Large Language Modelsโ€ Paper is accepted by ACM Computing Surveys!
  • 2024.08: Invited as a reviewer for ICLR 2025.
  • 2024.08: ๐ŸŽ‰๐ŸŽ‰ Excited to announce the updated version of our paper: โ€œA Survey of Text Watermarking in the Era of Large Language Modelsโ€ Paper!
  • 2024.05: ๐ŸŽ‰๐ŸŽ‰ One paper about Large Language Model Alignment is accepted by ACL 2024.
  • 2024.05: ๐ŸŽ‰๐ŸŽ‰ Two papers about watermark for Large Language Models are accepted by ACL 2024.
  • 2024.05: ๐ŸŽ‰๐ŸŽ‰ One paper about Document Relation Extraction is accepted by Findings of ACL 2024.
  • 2024.04: ๐ŸŽ‰๐ŸŽ‰ Our tutorial proposal โ€œPreventing and Detecting Misinformation Generated by Large Language Modelsโ€ is accepted by SIGIR 2024. SIGIR 2024.
  • 2024.04: Invited as a reviewer for ACMMM 2024.
  • 2024.04: Invited as a reviewer for ACL ARR April.
  • 2024.02: Invited as a reviewer for ACL ARR February.
  • 2024.01: ๐ŸŽ‰๐ŸŽ‰ Two papers about watermark for Large Language Models are accepted by ICLR 2024.

๐Ÿ“ž Contact

  • ๐Ÿ“ง Email:
    • liuaw20@mails.tsinghua.edu.cn
    • liuaiwei20@gmail.com
  • ๐Ÿ’ฌ Wechat:
    • u839134412

๐ŸŽ“ Education

Tsinghua University Logo
Tsinghua University, China
Ph.D. in Software Engineering
Sept. 2020 - June 2025 (Expected)
Nanjing University Logo
Nanjing University, China
B.E. in Software Engineering
Sept. 2016 - June 2020

๐ŸŽ“ Services

Program Committee/Reviewer

Journals:

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Image Processing (TIP)

Conferences:

  • The International Conference on Machine Learning (ICML)
  • The International Conference on Learning Representations (ICLR)
  • The Annual Meeting of the Association for Computational Linguistics (ACL)
  • The Annual Conference on Empirical Methods in Natural Language Processing (EMNLP)
  • The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)
  • The Annual Conference of the European Chapter of the Association for Computational Linguistics (EACL)
  • The ACM WWW International World Wide Web Conference (WWW)
  • The ACM International Conference on Multimedia (MM)

Workshop Organization

Tutorial