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The increasing capabilities of Large Language Models (LLMs) have raised concerns about their misuse in AI-generated plagiarism and social engineering.
Electronic marking and identification techniques to discourage document copying
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Detecting fake content with relative entropy scoring
T. Lavergne, T. Urvoy, and F. Yvon · 2008
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Plug and play language models: A simple approach to controlled text generation
S. Dathathri, A. Madotto, J. Lan, J. Hung, E. Frank, P. Molino, J. Yosinski, and R. Liu · 2019
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Gltr: Statistical detection and visualization of generated text
S. Gehrmann, H. Strobelt, and A. M. Rush · 2019
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Automatic detection of generated text is easiest when humans are fooled
D. Ippolito, D. Duckworth, C. Callison-Burch, and D. Eck · 2019
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Roberta: A robustly optimized bert pretraining approach
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks, 2019
N. Reimers and I. Gurevych · 2019
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Release strategies and the social impacts of language models
I. Solaiman, M. Brundage, J. Clark, A. Askell, A. Herbert-Voss, J. Wu, A. Radford, G. Krueger, J. W. Kim, S. Kreps, et al · 2019
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Defending against neural fake news
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Exploring the limits of transfer learning with a unified text-to-text transformer
C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. J. Liu · 2020
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Cat-gen: Improving robustness in nlp models via controlled adversarial text generation
T. Wang, X. Wang, Y. Qin, B. Packer, K. Li, J. Chen, A. Beutel, and E. Chi · 2020
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Cross-domain detection of gpt-2-generated technical text
J. D. Rodriguez, T. Hay, D. Gros, Z. Shamsi, and R. Srinivasan · 2022
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G. Bao, Y. Zhao, Z. Teng, L. Yang, and Y. Zhang · 2023
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Gptscore: Evaluate as you desire
J. Fu, S.-K. Ng, Z. Jiang, and P. Liu · 2023
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Radar: Robust ai-text detection via adversarial learning
X. Hu, P.-Y. Chen, and T.-Y. Ho · 2023
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Mistral 7b, 2023
A. Q. Jiang, A. Sablayrolles, A. Mensch, C. Bamford, D. S. Chaplot, D. de las Casas, F. Bressand, G. Lengyel, G. Lample, L. Saulnier, L. R. Lavaud, M.-A. Lachaux, P. Stock, T. L. Scao, T. Lavril, T. Wang, T. Lacroix, and W. E. Sayed · 2023
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A watermark for large language models
J. Kirchenbauer, J. Geiping, Y. Wen, J. Katz, I. Miers, and T. Goldstein · 2023
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Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense
K. Krishna, Y. Song, M. Karpinska, J. Wieting, and M. Iyyer · 2023
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Controlled text generation with natural language instructions
W. Zhou, Y. E. Jiang, E. Wilcox, R. Cotterell, and M. Sachan · 2023
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Scalable watermarking for identifying large language model outputs
S. Dathathri, A. See, S. Ghaisas, P.-S. Huang, R. McAdam, J. Welbl, V. Bachani, A. Kaskasoli, R. Stanforth, T. Matejovicova, et al · 2024
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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context, 2024
Gemini Team, Google · 2024
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Explaining length bias in llm-based preference evaluations, 2024
Z. Hu, L. Song, J. Zhang, Z. Xiao, T. Wang, Z. Chen, N. J. Yuan, J. Lian, K. Ding, and H. Xiong · 2024
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Watermark stealing in large language models
N. Jovanović, R. Staab, and M. Vechev · 2024
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R. Kuditipudi, J. Thickstun, T. Hashimoto, and P. Liang · 2023
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Mage: Machine-generated text detection in the wild
Y. Li, Q. Li, L. Cui, W. Bi, Z. Wang, L. Wang, L. Yang, S. Shi, and Y. Zhang · 2023
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Detectgpt: Zero-shot machine-generated text detection using probability curvature
E. Mitchell, Y. Lee, A. Khazatsky, C. D. Manning, and C. Finn · 2023
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Robustness of ai-image detectors: Fundamental limits and practical attacks
M. Saberi, V. S. Sadasivan, K. Rezaei, A. Kumar, A. Chegini, W. Wang, and S. Feizi · 2023
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Llama 2: Open foundation and fine-tuned chat models, 2023
H. Touvron, L. Martin, K. Stone, P. Albert, A. Almahairi, Y. Babaei, N. Bashlykov, and etal · 2023
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Watermarks in the sand: Impossibility of strong watermarking for generative models
H. Zhang, B. L. Edelman, D. Francati, D. Venturi, G. Ateniese, and B. Barak · 2023
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Provable robust watermarking for ai-generated text
X. Zhao, P. Ananth, L. Li, and Y.-X. Wang · 2023
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S. Kim, J. Suk, S. Longpre, B. Y. Lin, J. Shin, S. Welleck, G. Neubig, M. Lee, K. Lee, and M. Seo · 2024
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Controllable text generation for large language models: A survey
X. Liang, H. Wang, Y. Wang, S. Song, J. Yang, S. Niu, J. Hu, D. Liu, S. Yao, F. Xiong, et al · 2024
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The llama 3 herd of models, 2024
Llama Team, AI at Meta · 2024
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Gpt-4 technical report, 2024
OpenAI · 2024
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Fast adversarial attacks on language models in one gpu minute
V. S. Sadasivan, S. Saha, G. Sriramanan, P. Kattakinda, A. Chegini, and S. Feizi · 2024
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Foundational autoraters: Taming large language models for better automatic evaluation
T. Vu, K. Krishna, S. Alzubi, C. Tar, M. Faruqui, and Y.-H. Sung · 2024
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Can AI-generated text be reliably detected? stress testing AI text detectors under various attacks
V. S. Sadasivan, A. Kumar, S. Balasubramanian, W. Wang, and S. Feizi · 2025
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