MarkLLM: An Open-Source Toolkit for LLM Watermarking
Top Cited Papers
Open Access
- 1 January 2024
- conference paper
- Published by Association for Computational Linguistics (ACL)
- p. 61-71
Abstract
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 the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. 2024.Keywords
All Related Versions
This publication has 13 references indexed in Scilit:
- Large Language Models for Information Retrieval: A SurveyACM Transactions on Information Systems, 2025
- MARKMyWORDS: Analyzing and Evaluating Language Model Watermarks2025
- A Survey of Text Watermarking in the Era of Large Language ModelsACM Computing Surveys, 2024
- Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models2024
- Who Wrote this Code? Watermarking for Code Generation2024
- An Entropy-based Text Watermarking Detection Method2024
- WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models2024
- A Robust Semantics-based Watermark for Large Language Model against Paraphrasing2024
- Advancing Beyond Identification: Multi-bit Watermark for Large Language Models2024
- Three Bricks to Consolidate Watermarks for Large Language Models2023