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Large language models (LLMs) have achieved human-level text generation, emphasizing the need for effective AI-generated text detection to mitigate risks like the spread of fake news and plagiarism.
Real or fake? learning to discriminate machine from human generated text
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Detecting fake content with relative entropy scoring
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Natural language watermarking via morphosyntactic alterations
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SemEval-2013 task 2: Sentiment analysis in Twitter
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Computer-generated text detection using machine learning: A systematic review
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A corpus and cloze evaluation for deeper understanding of commonsense stories
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Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions
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Bag of tricks for efficient text classification
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
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Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018 · 2018
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GLTR: Statistical detection and visualization of generated text
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PubMedQA: A dataset for biomedical research question answering
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Roberta: A robustly optimized bert pretraining approach
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Language models are unsupervised multitask learners
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Defending against neural fake news
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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Multitask prompted training enables zero-shot task generalization
Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, and Alexander M. Rush. 2022 · 2022
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Glm-130b: An open bilingual pre-trained model
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SynGEC: Syntax-enhanced grammatical error correction with a tailored GEC-oriented parser
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Masked language model scoring
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Authorship attribution for neural text generation
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SciXGen: A scientific paper dataset for context-aware text generation
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A watermark for large language models
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Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense
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GPT detectors are biased against non-native english writers
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Detectgpt: Zero-shot machine-generated text detection using probability curvature
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Can ai-generated text be reliably detected?
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Effidit: An assistant for improving writing efficiency
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Stanford alpaca: An instruction-following llama model
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Adding conditional control to text-to-image diffusion models
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Protecting language generation models via invisible watermarking
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