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Recent LLMs are able to generate high-quality multilingual texts, indistinguishable for humans from authentic human-written ones.
Release strategies and the social impacts of language models
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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METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Twitter sentiment classification using distant supervision
Alec Go, Richa Bhayani, and Lei Huang. 2009 · 2009
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Whatapp doc? a first look at whatsapp public group data
Kiran Garimella and Gareth Tyson. 2018 · 2018
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What is Gab: A bastion of free speech or an alt-right echo chamber
Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Haewoon Kwak, Michael Sirivianos, Gianluca Stringini, and Jeremy Blackburn. 2018 · 2018
Earlier work this paper cites.
Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
Earlier work this paper cites.
BERTScore: Evaluating text generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
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The pushshift telegram dataset
Jason Baumgartner, Savvas Zannettou, Megan Squire, and Jeremy Blackburn. 2020 · 2020
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
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TweepFake: About detecting deepfake tweets
Tiziano Fagni, Fabrizio Falchi, Margherita Gambini, Antonio Martella, and Maurizio Tesconi. 2021 · 2021
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Discord dataset
Jess Fan. 2021 · 2021
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MAUVE: Measuring the gap between neural text and human text using divergence frontiers
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, and Zaid Harchaoui. 2021 · 2021
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GPT-J-6B: A 6 billion parameter autoregressive language model
Ben Wang and Aran Komatsuzaki. 2021 · 2021
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Twitter topic classification
Dimosthenis Antypas, Asahi Ushio, Jose Camacho-Collados, Vitor Silva, Leonardo Neves, and Francesco Barbieri. 2022 · 2022
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Debertav3: Improving deberta using electra-style pre-training with gradient-disentangled embedding sharing
Pengcheng He, Jianfeng Gao, and Weizhu Chen. 2022 · 2022
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Crosslingual generalization through multitask finetuning
Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M Saiful Bari, Sheng Shen, Zheng-Xin Yong, Hailey Schoelkopf, et al. 2022 · 2022
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The CLEF-2022 CheckThat! lab on fighting the COVID-19 infodemic and fake news detection
Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mucahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, and Javier Beltrán. 2022 · 2022
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Findings of the the RuATD shared task 2022 on artificial text detection in Russian
Tatiana Shamardina, Vladislav Mikhailov, Daniil Chernianskii, Alena Fenogenova, Marat Saidov, Anastasiya Valeeva, Tatiana Shavrina, Ivan Smurov, Elena Tutubalina, and Ekaterina Artemova. 2022 · 2022
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Fake news, disinformation and misinformation in social media: a review
Esma Aïmeur, Sabrine Amri, and Gilles Brassard. 2023 · 2023
Cited alongside, same era.
Falcon-40B: an open large language model with state-of-the-art performance
Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru, Merouane Debbah, Etienne Goffinet, Daniel Heslow, Julien Launay, Quentin Malartic, Badreddine Noune, Baptiste Pannier, and Guilherme Penedo. 2023 · 2023
Cited alongside, same era.
Fast-DetectGPT: Efficient zero-shot detection of machine-generated text via conditional probability curvature
Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, and Yue Zhang. 2023 · 2023
Cited alongside, same era.
Who said that? benchmarking social media AI detection
Wanyun Cui, Linqiu Zhang, Qianle Wang, and Shuyang Cai. 2023 · 2023
Cited alongside, same era.
Anatomy of an AI-powered malicious social botnet
Kai-Cheng Yang and Filippo Menczer. 2023 · 2023
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Llama 3 model card
AI@Meta. 2024 · 2024
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Overview of the multilingual text detoxification task at PAN 2024
Daryna Dementieva, Daniil Moskovskiy, Nikolay Babakov, Abinew Ali Ayele, Naquee Rizwan, Frolian Schneider, Xintog Wang, Seid Muhie Yimam, Dmitry Ustalov, Elisei Stakovskii, Alisa Smirnova, Ashraf Elnagar, Animesh Mukherjee, and Alexander Panchenko. 2024 · 2024
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Raid: A shared benchmark for robust evaluation of machine-generated text detectors
Liam Dugan, Alyssa Hwang, Filip Trhlik, Josh Magnus Ludan, Andrew Zhu, Hainiu Xu, Daphne Ippolito, and Chris Callison-Burch. 2024 · 2024
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Fake review detection techniques, issues, and future research directions: a literature review
Ramadhani Ally Duma, Zhendong Niu, Ally S Nyamawe, Jude Tchaye-Kondi, Nuru Jingili, Abdulganiyu Abdu Yusuf, and Augustino Faustino Deve. 2024 · 2024
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Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2023 · 2023
Cited alongside, same era.
A prompt in the right direction: Prompt based classification of machine-generated text detection
Rinaldo Gagiano and Lin Tian. 2023 · 2023
Cited alongside, same era.
How close is ChatGPT to human experts? Comparison corpus, evaluation, and detection
Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, and Yupeng Wu. 2023 · 2023
Cited alongside, same era.
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2023 · 2023
Cited alongside, same era.
Automatic genre identification for robust enrichment of massive text collections: Investigation of classification methods in the era of large language models
Taja Kuzman, Igor Mozetič, and Nikola Ljubešić. 2023 · 2023
Cited alongside, same era.
Deepfake text detection in the wild
Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Longyue Wang, Linyi Yang, Shuming Shi, and Yue Zhang. 2023 · 2023
Cited alongside, same era.
Fighting fire with fire: The dual role of LLMs in crafting and detecting elusive disinformation
Jason Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, and Dongwon Lee. 2023 · 2023
Cited alongside, same era.
MULTITuDE: Large-scale multilingual machine-generated text detection benchmark
Dominik Macko, Robert Moro, Adaku Uchendu, Jason Lucas, Michiharu Yamashita, Matúš Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, and Maria Bielikova. 2023 · 2023
Cited alongside, same era.
Closest in time.
The clin33 shared task on the detection of text generated by large language models
Pieter Fivez, Walter Daelemans, Tim Van de Cruys, Yury Kashnitsky, Savvas Chamezopoulos, Hadi Mohammadi, Anastasia Giachanou, Ayoub Bagheri, Wessel Poelman, Juraj Vladika, Esther Ploeger, Johannes Bjerva, Florian Matthes, and Hans van Halteren. 2024 · 2024
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METAL: Towards multilingual meta-evaluation
Rishav Hada, Varun Gumma, Mohamed Ahmed, Kalika Bali, and Sunayana Sitaram. 2024 · 2024
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Spotting LLMs with binoculars: Zero-shot detection of machine-generated text
Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, Hamid Kazemi, Aniruddha Saha, Micah Goldblum, Jonas Geiping, and Tom Goldstein. 2024 · 2024
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MAiDE-up: Multilingual deception detection of gpt-generated hotel reviews
Oana Ignat, Xiaomeng Xu, and Rada Mihalcea. 2024 · 2024
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A survey of ai-generated text forensic systems: Detection, attribution, and characterization
Tharindu Kumarage, Garima Agrawal, Paras Sheth, Raha Moraffah, Aman Chadha, Joshua Garland, and Huan Liu. 2024 · 2024
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Detecting multimedia generated by large AI models: A survey
Li Lin, Neeraj Gupta, Yue Zhang, Hainan Ren, Chun-Hao Liu, Feng Ding, Xin Wang, Xin Li, Luisa Verdoliva, and Shu Hu. 2024 · 2024
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Authorship obfuscation in multilingual machine-generated text detection
Dominik Macko, Robert Moro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, and Maria Bielikova. 2024 · 2024
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Multilingual large language model: A survey of resources, taxonomy and frontiers
Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, and Philip S. Yu. 2024 · 2024
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KInIT at SemEval-2024 task 8: Fine-tuned LLMs for multilingual machine-generated text detection
Michal Spiegel and Dominik Macko. 2024b · 2024
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A comprehensive analysis of the effectiveness of large language models as automatic dialogue evaluators
Chen Zhang, Luis Fernando D’Haro, Yiming Chen, Malu Zhang, and Haizhou Li. 2024 · 2024
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Aya model: An instruction finetuned open-access multilingual language model
Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, Wei-Yin Ko, Daniel D’souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, and Sara Hooker. 2024 · 2024
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Semeval-2024 task 8: Multidomain, multimodel and multilingual machine-generated text detection
Yuxia Wang, Jonibek Mansurov, Petar Ivanov, jinyan su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, and Preslav Nakov. 2024b · 2063
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