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Awesome-Machine-Generated-Text

Continuously updated list of related resources for generative LLMs like GPT and their analysis and detection.
https://github.com/ICTMCG/Awesome-Machine-Generated-Text

Last synced: about 4 hours ago
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  • Large Scale Pre-training for Language Generation

    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Limited-purple) ![](https://img.shields.io/badge/2020.05-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2021.12-blue)
    • [paper - following/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Limited-purple) ![](https://img.shields.io/badge/2022.01-blue)
    • [paper - 4) [[blog]](https://openai.com/research/gpt-4) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Limited-purple) ![](https://img.shields.io/badge/2023.03-blue)
    • [paper - modelling-at-scale-gopher-ethical-considerations-and-retrieval) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2021.12-blue)
    • [paper - language-models-by-retrieving-from-trillions-of-tokens) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2021.12-blue)
    • [paper - empirical-analysis-of-compute-optimal-large-language-model-training) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2022.04-blue)
    • [paper - safer-dialogue-agents) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2022.09-blue)
    • [paper - orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Limited-purple) ![](https://img.shields.io/badge/2019.09-blue)
    • [blog - darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2020.02-blue)
    • [paper - deepspeed-and-megatron-to-train-megatron-turing-nlg-530b-the-worlds-largest-and-most-powerful-generative-language-model/) [[blog]](https://www.microsoft.com/en-us/research/blog/using-deepspeed-and-megatron-to-train-megatron-turing-nlg-530b-the-worlds-largest-and-most-powerful-generative-language-model/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2021.10-blue)
    • [paper - conversational-agent-that-can.html) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2020.01-blue)
    • [paper - transfer-learning-with-t5.html) ![](https://img.shields.io/badge/JMLR%202020-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2020.02-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2020.10-blue)
    • [paper - flan-more-generalizable.html) ![](https://img.shields.io/badge/ICLR%202022-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2021.10-blue)
    • [paper - 2022/Slides/17378.pdf) [[blog]](https://ai.googleblog.com/2021/12/more-efficient-in-context-learning-with.html) ![](https://img.shields.io/badge/ICML%202022-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2021.12-blue)
    • [paper - towards-safe-grounded-and-high.html) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2022.01-blue)
    • [paper - language-model-palm-scaling-to.html) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2022.04-blue)
    • [paper - 20b-open-source-unified-language.html) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2022.10-blue)
    • [paper - 20b-open-source-unified-language.html) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2022.10-blue)
    • [paper - orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2020.04-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2021.12-blue)
    • [paper - orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2022.05-blue)
    • [paper - 3-a-175b-parameter-publicly-available-chatbot-that-improves-its-skills-and-safety-over-time/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2022.08-blue)
    • [paper - orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2022.08-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2021.10-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2022.11-blue)
    • [paper - parameter-alexa-model-sets-new-marks-in-few-shot-learning) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Limited-purple) ![](https://img.shields.io/badge/2022.08-blue)
    • [paper - ai21-studio-and-jurassic-1) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Limited-purple) ![](https://img.shields.io/badge/2021.08-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Limited-purple) ![](https://img.shields.io/badge/2021.07-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2021.12-blue)
    • [paper - -IJCNLP%202022%20Findings-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2021.09-blue)
    • [news - blue)
    • [paper - orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2022.04-blue)
    • [paper - orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2022.12-blue)
    • [blog - darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2021.06-blue)
    • [paper - 20b/) ![](https://img.shields.io/badge/ACL%202022%20Workshop-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2022.02-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Chinese-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2020.12-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2021.06-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Chinese-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2021.08-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Chinese-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2022.03-blue)
    • [paper - orange) ![](https://img.shields.io/badge/English%20or%20Chinese-darkcyan) ![](https://img.shields.io/badge/Limited-purple) ![](https://img.shields.io/badge/2021.03-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2022.10-blue)
    • [paper - lm.html) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2022.09-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Chinese-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2021.04-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Chinese-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2022.03-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Chinese-darkcyan) ![](https://img.shields.io/badge/Limited-purple) ![](https://img.shields.io/badge/2021.09-blue)
    • [paper - orange) ![](https://img.shields.io/badge/Chinese-darkcyan) ![](https://img.shields.io/badge/Limited-purple) ![](https://img.shields.io/badge/2022.09-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [repo - darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2021.03-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - 3-a-175b-parameter-publicly-available-chatbot-that-improves-its-skills-and-safety-over-time/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/English-darkcyan) ![](https://img.shields.io/badge/Closed-purple) ![](https://img.shields.io/badge/2022.08-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
    • [paper - language-model-llama-meta-ai/) ![](https://img.shields.io/badge/Preprint-orange) ![](https://img.shields.io/badge/Multilingual-darkcyan) ![](https://img.shields.io/badge/Open-purple) ![](https://img.shields.io/badge/2023.02-blue)
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      • [paper - X.pdf) ![](https://img.shields.io/badge/Cell%20Reports%20Physical%20Science-orange) ![](https://img.shields.io/badge/2023.06-blue)
      • [paper - orange) ![](https://img.shields.io/badge/2019.12-blue)
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      • [paper - -COLING%202024-orange) ![](https://img.shields.io/badge/2024.05-blue)
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      • [paper - -COLING%202024-orange) ![](https://img.shields.io/badge/2024.05-blue)
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      • [paper - orange) ![](https://img.shields.io/badge/2022.06-blue)
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      • [paper - orange) ![](https://img.shields.io/badge/2019.12-blue)
      • [paper - orange) ![](https://img.shields.io/badge/2023.02-blue)

    • Datasets

      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - written articles and 3,887 synthetic articles from AI-Writer, ArticleForge, Kafkai and RedditBot | varied | [[repo]](https://github.com/jmpu/DeepfakeTextDetection) |
      • [paper - SimpleAI/chatgpt-comparison-detection) |
      • [paper - written essays and 4,038 machine-generated essays produced by 7 GPT models | varied | [[repo]](https://github.com/huhailinguist/ArguGPT) |
      • [paper - Neo, GPT-J, and 12k texts from GPT3 models, which is 36k texts in total | varied | [[repo]](https://github.com/OpenLMLab/Sniffer/tree/main/SnifferBench) |
      • [paper
      • [paper - parallel human-written texts | varied | [[repo]](https://github.com/mbzuai-nlp/M4) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - deep-fake-text) |
      • [paper - written text and machine-generated text | GPT-3 (`davinci`) | [[repo]](https://github.com/liamdugan/human-detection/tree/main/data) |
      • [paper - 3 (`davinci`) | [[repo]](https://github.com/yizhongw/self-instruct) |
      • [home - lab/stanford_alpaca) |
      • [paper - generation pairs | GPT-3.5 (`gpt-3.5-turbo`) | [[repo]](https://github.com/nomic-ai/gpt4all) [[repo]](https://huggingface.co/datasets/nomic-ai/gpt4all_prompt_generations) |
      • [paper - following data generated by GPT-4 | GPT-4 | [[home]](https://instruction-tuning-with-gpt-4.github.io/) [[repo]](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM) |
      • [paper - written texts and 294,381 machine-generated texts produced by 27 LLMs | varied | [[repo]](https://github.com/yafuly/DeepfakeTextDetect) |
      • [paper - Detection-PR-HPPT/tree/main/Dataset/HPPT) |
      • [paper - written sentences and 17,608 LLM-generated scentences from the medical domain | GPT-3.5 (`gpt-3.5-turbo`) | [[repo]](https://github.com/styxsys0927/Med-MMHL) |
      • [paper - 3.5-turbo. | GPT-3.5 (`gpt-3.5-turbo`) | [[repo]](https://github.com/Hao-Kang/GPT-Sentinel-public) [[file]](https://drive.google.com/drive/folders/1Vnr-_nJWT4VXE-1wK38YSsCD4GcP6mk_) |
      • [paper - generated spoken text datasets. | GPT-3.5 (`gpt-3.5-turbo`), PaLM 2 (`chat-bison@001`), Vicuna 13B | [[repo]](https://huggingface.co/datasets/HANSEN-REPO/HANSEN) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper
      • [paper - written texts and 414k machine-generated texts. | varied | [[repo]](https://anonymous.4open.science/r/multisocial/) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - written texts and 13k machine-generated scientific papers | varied | [[repo]](https://huggingface.co/datasets/tum-nlp/IDMGSP) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - written responses and 131,546 AI-generated responses from Zhihu and Quora | Unknown | [[repo]](https://github.com/SLAM-group/SAID) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - 2 | [[repo]](https://github.com/vijini/GeneratedTextDetection) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - NLP/BUST) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 3.5 (`gpt-3.5-turbo`) | [[repo]](https://huggingface.co/datasets/hannxu/hc_var) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2, GPT-J, GPT-Neo, LLaMA, GPT-3.5-turbo and human. | varied | [[repo]](https://github.com/Jihuai-wpy/SeqXGPT) |
      • [paper - written news texts in 11 languages, accompanied by 66089 texts generated by 8 large language models. | varied | [[repo]](https://zenodo.org/records/10013755) |
      • [paper - 3.5, PaLM, LLaMA7B, GPT2-1B (GPT2 extra large) | [[repo]](https://zenodo.org/records/8285326) |
      • [paper - 3.5-turbo, whereas 5145 samples authored by human contributors. | GPT-3.5 (`gpt-3.5-turbo`) | [[repo]](https://github.com/madlab-ucr/GriD) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - 3.5 (`gpt-3.5-turbo`) | [[repo]](https://github.com/botianzhe/CHEAT) |
      • [paper - 4, LLaMA-2 70B | [[repo]](https://github.com/Dongping-Chen/MixSet) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper
      • [paper - parallel human-written texts | varied | [[repo]](https://github.com/mbzuai-nlp/M4) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 3 (`davinci`) | [[repo]](https://github.com/yizhongw/self-instruct) |
      • [paper - following data generated by GPT-4 | GPT-4 | [[home]](https://instruction-tuning-with-gpt-4.github.io/) [[repo]](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM) |
      • [paper - 3.5-turbo, whereas 5145 samples authored by human contributors. | GPT-3.5 (`gpt-3.5-turbo`) | [[repo]](https://github.com/madlab-ucr/GriD) |
      • [paper - written sentences and 17,608 LLM-generated scentences from the medical domain | GPT-3.5 (`gpt-3.5-turbo`) | [[repo]](https://github.com/styxsys0927/Med-MMHL) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - generators and 1 human | varied | [[repo]](https://huggingface.co/datasets/turingbench/TuringBench/tree/main) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - 2 | Grover, GPT-2 | [[home]](https://people.csail.mit.edu/tals/publication/are_we_safe/) [[file]](https://github.com/TalSchuster/talschuster.github.io/raw/master/static/fakenews_machine_data.zip) |
      • [paper - 3.5-turbo`, with the exception of the paragraph-level data, which was generated using `text-davinci-003`’s insert feature | GPT-3.5 (`gpt-3.5-turbo`, `text-davinci-003`) | [[repo]](https://github.com/vivek3141/ghostbuster) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |
      • [paper - written comments and 1,001 generated comments | GPT-2 | [[home]](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OQCPOT) |

    • Demos & Products

      • [demo - blue)
      • [demo - blue)
      • [demo - 2-output-dataset/tree/master/detector) ![](https://img.shields.io/badge/2019.11-blue)
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      • [home - gpt-3-5-chatgpt-be-detected/) ![](https://img.shields.io/badge/2022.12-blue)
      • [demo - blue)
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      • [demo - ai-classifier-for-indicating-ai-written-text/) ![](https://img.shields.io/badge/2023.01-blue)
      • [demo - mitchell/detect-gpt) ![](https://img.shields.io/badge/2023.01-blue)
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      • [home - blue)
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      • [demo - blue)
      • [demo - blue)
      • [demo
      • [demo
      • [demo
      • [demo
      • [demo
      • [demo
      • [demo
      • [demo
      • [demo

    • Shared Tasks

  • TOC

  • Analysis

    • Comprehensive

      • [paper - orange) ![](https://img.shields.io/badge/2022.11-blue)
      • [paper - orange) ![](https://img.shields.io/badge/2021.09-blue)
      • [paper - orange) ![](https://img.shields.io/badge/2020.02-blue)
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      • [paper - orange) ![](https://img.shields.io/badge/2021.08-blue)

    • Hallucination & Disinformation

      • [paper - orange) ![](https://img.shields.io/badge/2022.04-blue)
      • [paper - orange) ![](https://img.shields.io/badge/2023.01-blue)
      • [blog - blue)
      • [blog - blue)
      • [paper - orange) ![](https://img.shields.io/badge/2023.01-blue)
      • [blog - blue)
      • [blog - blue)

    • Bias & Toxicity

      • [paper - orange) ![](https://img.shields.io/badge/2023.12-blue)
      • [paper - orange) ![](https://img.shields.io/badge/2019.09-blue)
      • [paper - orange) ![](https://img.shields.io/badge/2020.09-blue)
      • [blog - blue)
      • [paper - orange) ![](https://img.shields.io/badge/2023.12-blue)

    • Security Risk

    • LM Attack

      • [paper - orange) ![](https://img.shields.io/badge/2020.12-blue)
      • [paper - orange) ![](https://img.shields.io/badge/2022.11-blue)
      • [paper - orange) ![](https://img.shields.io/badge/2020.12-blue)

    • Environment

      • [paper - orange) ![](https://img.shields.io/badge/2021.04-blue)
      • [paper - orange) ![](https://img.shields.io/badge/2021.04-blue)
      • [paper - orange) ![](https://img.shields.io/badge/2021.04-blue)
Programming Languages
Python 1
Categories
Detection 993 Large Scale Pre-training for Language Generation 161 Analysis 30 TOC 1
Sub Categories
Papers 838 Datasets 126 Demos & Products 25 Comprehensive 7 Hallucination & Disinformation 7 Bias & Toxicity 5 Security Risk 5 Shared Tasks 4 Environment 3 LM Attack 3