Papers citing 'Reverse Engineering Configurations of Neural Text Generation Models'

Title
Detection Avoidance Techniques for Large Language ModelsData & Policy (DP), 2025 Sinclair Schneider Florian Steuber João A. G. Schneider Gabi Dreo Rodosek DeLMO 169 0 0 10 Mar 2025
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of CodeConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Batu Guan Yao Wan Zhangqian Bi Zheng Wang Hongyu Zhang Yulei Sui Pan Zhou 103 22 0 31 Dec 2024
Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions Yihan Wu Ruibo Chen Zhengmian Hu Yanshuo Chen Junfeng Guo Hongyang R. Zhang Heng-Chiao Huang WaLM 138 7 0 02 Jun 2024
How well can machine-generated texts be identified and can language models be trained to avoid identification? Sinclair Schneider Florian Steuber João A. G. Schneider Gabi Dreo Rodosek DeLMO 78 1 0 25 Oct 2023
A Resilient and Accessible Distribution-Preserving Watermark for Large Language ModelsInternational Conference on Machine Learning (ICML), 2023 Yihan Wu Zhengmian Hu Junfeng Guo Hongyang R. Zhang Heng-Chiao Huang WaLM 145 38 0 11 Oct 2023
Unbiased Watermark for Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Zhengmian Hu Lichang Chen Xidong Wu Yihan Wu Hongyang R. Zhang Heng-Chiao Huang WaLM 151 82 0 22 Sep 2023
Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated TextRecent Advances in Natural Language Processing (RANLP), 2023 Mahdi Dhaini Wessel Poelman Ege Erdogan DeLMO 175 17 0 14 Sep 2023
Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation SystemInternational Conference on Natural Language Generation (INLG), 2023 Daphne Ippolito Nicholas Carlini Katherine Lee Milad Nasr Yun William Yu 97 7 0 09 Sep 2023
CHEAT: A Large-scale Dataset for Detecting ChatGPT-writtEn AbsTractsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023 Peipeng Yu Jiahan Chen Xuan Feng Zhihua Xia 251 54 0 24 Apr 2023
A Watermark for Large Language ModelsInternational Conference on Machine Learning (ICML), 2023 John Kirchenbauer Jonas Geiping Yuxin Wen Jonathan Katz Ian Miers Tom Goldstein VLM WaLM 332 666 0 24 Jan 2023
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection MethodsIEEE Access (IEEE Access), 2022 Evan Crothers Nathalie Japkowicz H. Viktor DeLMO 237 144 0 13 Oct 2022
Automatic Detection of Machine Generated Text: A Critical SurveyInternational Conference on Computational Linguistics (COLING), 2020 Ganesh Jawahar Muhammad Abdul-Mageed L. Lakshmanan DeLMO 162 264 0 02 Nov 2020
Detecting Cross-Modal Inconsistency to Defend Against Neural Fake NewsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Reuben Tan Bryan A. Plummer Kate Saenko AAML 169 75 0 16 Sep 2020
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study Dara Bahri Yi Tay Che Zheng Donald Metzler Clifford Brunk Andrew Tomkins 85 9 0 17 Aug 2020