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To mitigate potential risks associated with language models, recent AI detection research proposes incorporating watermarks into machine-generated text through random vocabulary restrictions and utilizing this information for detection.
Real or Fake? Learning to Discriminate Machine from Human Generated Text
Bakhtin, A.; Gross, S.; Ott, M.; Deng, Y.; Ranzato, M.; and Szlam, A. 2019 · 1906
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Release Strategies and the Social Impacts of Language Models
Solaiman, I.; Brundage, M.; Clark, J.; Askell, A.; Herbert-Voss, A.; Wu, J.; Radford, A.; Krueger, G.; Kim, J. W.; Kreps, S.; McCain, M.; Newhouse, A.; Blazakis, J.; McGuffie, K.; and Wang, J. 2019 · 1908
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Bleu: a Method for Automatic Evaluation of Machine Translation
Papineni, K.; Roukos, S.; Ward, T.; and Zhu, W.-J. 2002 · 2002
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ROUGE: A Package for Automatic Evaluation of Summaries
Lin, C.-Y. 2004 · 2004
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The WebNLG Challenge: Generating Text from RDF Data
Gardent, C.; Shimorina, A.; Narayan, S.; and Perez-Beltrachini, L. 2017 · 2017
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Get To The Point: Summarization with Pointer-Generator Networks
See, A.; Liu, P. J.; and Manning, C. D. 2017 · 2017
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Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
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CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
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Automatic Detection of Machine Generated Text: A Critical Survey
Jawahar, G.; Abdul-Mageed, M.; and Lakshmanan, L., V.S. 2020 · 2020
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
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The Limitations of Stylometry for Detecting Machine-Generated Fake News
Schuster, T.; Schuster, R.; Shah, D. J.; and Barzilay, R. 2020 · 2020
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On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
Bender, E. M.; Gebru, T.; McMillan-Major, A.; and Shmitchell, S. 2021 · 2021
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Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover
Fröhling, L.; and Zubiaga, A. 2021 · 2021
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DART: Open-Domain Structured Data Record to Text Generation
Nan, L.; Radev, D.; Zhang, R.; Rau, A.; Sivaprasad, A.; Hsieh, C.; Tang, X.; Vyas, A.; Verma, N.; Krishna, P.; Liu, Y.; Irwanto, N.; Pan, J.; Rahman, F.; Zaidi, A.; Mutuma, M.; Tarabar, Y.; Gupta, A.; Yu, T.; Tan, Y. C.; Lin, X. V.; Xiong, C.; Socher, R.; and Rajani, N. F. 2021 · 2021
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Scaling Instruction-Finetuned Language Models
Chung, H. W.; Hou, L.; Longpre, S.; Zoph, B.; Tay, Y.; Fedus, W.; Li, Y.; Wang, X.; Dehghani, M.; Brahma, S.; Webson, A.; Gu, S. S.; Dai, Z.; Suzgun, M.; Chen, X.; Chowdhery, A.; Castro-Ros, A.; Pellat, M.; Robinson, K.; Valter, D.; Narang, S.; Mishra, G.; Yu, A.; Zhao, V.; Huang, Y.; Dai, A.; Yu, H.; Petrov, S.; Chi, E. H.; Dean, J.; Devlin, J.; Roberts, A.; Zhou, D.; Le, Q. V.; and Wei, J. 2022 · 2022
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DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
Mitchell, E.; Lee, Y.; Khazatsky, A.; Manning, C. D.; and Finn, C. 2023 · 2023
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Mitrović, S.; Andreoletti, D.; and Ayoub, O. 2023 · 2023
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Chatgpt: Optimizing language model for dialogue
OpenAI. 2021 · 2023
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Can AI-Generated Text be Reliably Detected?
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Toxicity in chatgpt: Analyzing persona-assigned language models
Deshpande, A.; Murahari, V.; Rajpurohit, T.; Kalyan, A.; and Narasimhan, K. 2023 · 2023
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Self-collaboration Code Generation via ChatGPT
Dong, Y.; Jiang, X.; Jin, Z.; and Li, G. 2023 · 2023
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A Watermark for Large Language Models
Kirchenbauer, J.; Geiping, J.; Wen, Y.; Katz, J.; Miers, I.; and Goldstein, T. 2023 · 2023
Cited alongside, same era.
Who Wrote this Code? Watermarking for Code Generation
Lee, T.; Hong, S.; Ahn, J.; Hong, I.; Lee, H.; Yun, S.; Shin, J.; and Kim, G. 2023 · 2023
Cited alongside, same era.
Liu, J.; Xia, C. S.; Wang, Y.; and Zhang, L. 2023 · 2023
Cited alongside, same era.
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Tan, Y.; Min, D.; Li, Y.; Li, W.; Hu, N.; Chen, Y.; and Qi, G. 2023 · 2023
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Towards Codable Text Watermarking for Large Language Models
Wang, L.; Yang, W.; Chen, D.; Zhou, H.; Lin, Y.; Meng, F.; Zhou, J.; and Sun, X. 2023 · 2023
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Watermarking Text Generated by Black-Box Language Models
Yang, X.; Chen, K.; Zhang, W.; Liu, C.; Qi, Y.; Zhang, J.; Fang, H.; and Yu, N. 2023 · 2023
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Protecting Language Generation Models via Invisible Watermarking
Zhao, X.; Wang, Y.-X.; and Li, L. 2023 · 2023
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Robust Multi-bit Natural Language Watermarking through Invariant Features
Yoo, K.; Ahn, W.; Jang, J.; and Kwak, N. 2023 · 2092
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