The Impact of Large Language Models in Academia: from Writing to Speaking

Real or fake? learning to discriminate machine from human generated text

Original

Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc’Aurelio Ranzato, and Arthur Szlam. 2019 · 1906

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Gltr: Statistical detection and visualization of generated text

Original

Sebastian Gehrmann, Hendrik Strobelt, and Alexander M Rush. 2019 · 1906

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Release strategies and the social impacts of language models

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Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, Gretchen Krueger, Jong Wook Kim, Sarah Kreps, et al. 2019 · 1908

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Authorship attribution for neural text generation

Adaku Uchendu, Thai Le, Kai Shu, and Dongwon Lee. 2020 · 2020

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Can google translate rewire your l2 english processing?

Natália Resende and Andy Way. 2021 · 2021

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Coauthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities

Mina Lee, Percy Liang, and Qian Yang. 2022 · 2022

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Robust speech recognition via large-scale weak supervision

Original

Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever. 2022 · 2022

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Fast-detectgpt: Efficient zero-shot detection of machine-generated text via conditional probability curvature

Original

Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, and Yue Zhang. 2023 · 2023

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Large language models suffer from their own output: An analysis of the self-consuming training loop

Original

Martin Briesch, Dominik Sobania, and Franz Rothlauf. 2023 · 2023

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Using large language models in psychology

Dorottya Demszky, Diyi Yang, David S Yeager, Christopher J Bryan, Margarett Clapper, Susannah Chandhok, Johannes C Eichstaedt, Cameron Hecht, Jeremy Jamieson, Meghann Johnson, et al. 2023 · 2023

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Mgtbench: Benchmarking machine-generated text detection

Original

Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, and Yang Zhang. 2023 · 2023

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Radar: Robust ai-text detection via adversarial learning

Original

Xiaomeng Hu, Pin-Yu Chen, and Tsung-Yi Ho. 2023 · 2023

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Outfox: Llm-generated essay detection through in-context learning with adversarially generated examples

Original

Ryuto Koike, Masahiro Kaneko, and Naoaki Okazaki. 2023 · 2023

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Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense

Original

Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, and Mohit Iyyer. 2023 · 2023

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Detectgpt: Zero-shot machine-generated text detection using probability curvature

Original

Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, and Chelsea Finn. 2023 · 2023

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Ghostbuster: Detecting text ghostwritten by large language models

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Vivek Verma, Eve Fleisig, Nicholas Tomlin, and Dan Klein. 2023 · 2023

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Dna-gpt: Divergent n-gram analysis for training-free detection of gpt-generated text

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Xianjun Yang, Wei Cheng, Linda Petzold, William Yang Wang, and Haifeng Chen. 2023 · 2023

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Detecting machine-generated texts: Not just" ai vs humans" and explainability is complicated

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Jiazhou Ji, Ruizhe Li, Shujun Li, Jie Guo, Weidong Qiu, Zheng Huang, Chiyu Chen, Xiaoyu Jiang, and Xinru Lu. 2024 · 2024

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Delving into chatgpt usage in academic writing through excess vocabulary

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Dmitry Kobak, Rita González Márquez, Emőke-Ágnes Horvát, and Jan Lause. 2024 · 2024

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The ai review lottery: Widespread ai-assisted peer reviews boost paper scores and acceptance rates

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Giuseppe Russo Latona, Manoel Horta Ribeiro, Tim R Davidson, Veniamin Veselovsky, and Robert West. 2024 · 2024

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Delving into pubmed records: Some terms in medical writing have drastically changed after the arrival of chatgpt

Kentaro Matsui. 2024 · 2024

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