👋 About Me

Hi! My name is Aiwei Liu (刘瑷玮). 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, I'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 Apple'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).

Welcome to collaborate! If you're interested in research collaboration on LLM watermarking, LLM alignment, or other NLP topics, please feel free to contact me.

⭐ Research Highlights

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, top 5%

[Paper] [Code] [Conference Page] [Poster][Slides]

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

[Paper] [Code] [Conference Page][Poster][Slides]

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]

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

[Paper] [Home] [机器之心] [Twitter]

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

[Paper] [Code]

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] [Conference Page]

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] [Conference Page]

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

[Paper] [Code]

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

[Paper] [Code]

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

Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen

Proceedings of SIGKDD 2022

[Paper] [Code]

📄 Curriculum Vitae

Last updated: 2025-02-03

📄

English CV

You can download a PDF copy of my English CV here.

📝

中文简历

您可以在这里下载我的中文简历PDF版本。

🔥 News

2025.01: 🎉🎉 Two papers are accepted by NAACL 2025.

2025.01: 🎉🎉 Three papers are accepted by ICLR 2025.

2024.10: 🎉🎉 Excited to announce the our paper: MarkLLM: An Open-Source Toolkit for LLM Watermarking is accepted by EMNLP 2024 Demo Track.

2024.09: 🎉 One paper about Retrieval-Augmented Large Language Models is accepted by EMNLP 2024.

2024.08: 🎉🎉 Excited to announce the our paper: "A Survey of Text Watermarking in the Era of Large Language Models" Paper is accepted by ACM Computing Surveys!

2024.08: Invited as a reviewer for ICLR 2025.

2024.08: 🎉🎉 Excited to announce the updated version of our paper: "A Survey of Text Watermarking in the Era of Large Language Models" Paper!

2024.05: 🎉🎉 One paper about Large Language Model Alignment is accepted by ACL 2024.

2024.05: 🎉🎉 Two papers about watermark for Large Language Models are accepted by ACL 2024.

2024.05: 🎉🎉 One paper about Document Relation Extraction is accepted by Findings of ACL 2024.

2024.04: 🎉🎉 Our tutorial proposal "Preventing and Detecting Misinformation Generated by Large Language Models" is accepted by 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: 🎉🎉 Two papers about watermark for Large Language Models are accepted by ICLR 2024.

📞 Contact

📧

Email

liuaw20@mails.tsinghua.edu.cn

liuaiwei20@gmail.com

💬

Wechat

u839134412

🎓 Education

Tsinghua University, China

Ph.D. in Software Engineering

Sept. 2020 - June 2025 (Expected)

Nanjing University, China

B.E. in Software Engineering

Sept. 2016 - June 2020

🎓 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

Co-organizer of the AAAI 2025 Workshop on Preventing and Detecting LLM Generated Misinformation (PDLM)

Tutorial

Lead presenter for "Preventing and Detecting Misinformation Generated by Large Language Models" tutorial at SIGIR 2024
Tutorial website: https://sigir24-llm-misinformation.github.io/