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Peer review is a critical process for ensuring the integrity of published scientific research.
Roberta: A robustly optimized bert pretraining approach. arxiv [preprint](2019)
Y Liu, M Ott, N Goyal, J Du, M Joshi, D Chen, O Levy, M Lewis, L Zettlemoyer, and V Stoyanov · 1907
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Cumulated gain-based evaluation of ir techniques
Kalervo Järvelin and Jaana Kekäläinen · 2002
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Real or fake? learning to discriminate machine from human generated text
Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc’Aurelio Ranzato, and Arthur Szlam · 2019
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Gltr: Statistical detection and visualization of generated text
Sebastian Gehrmann, Hendrik Strobelt, and Alexander M Rush · 2019
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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
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Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi · 2019
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Automatic detection of generated text is easiest when humans are fooled
Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, and Douglas Eck · 2020
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Automatic detection of machine generated text: A critical survey
Ganesh Jawahar, Muhammad Abdul-Mageed, and VS Laks Lakshmanan · 2020
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Authorship attribution for neural text generation
Adaku Uchendu, Thai Le, Kai Shu, and Dongwon Lee · 2020
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Tweepfake: About detecting deepfake tweets
Tiziano Fagni, Fabrizio Falchi, Margherita Gambini, Antonio Martella, and Maurizio Tesconi · 2021
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Rafael B Audibert, Henrique Lemos, Pedro Avelar, Anderson R Tavares, and Luís C Lamb · 2022
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Text embeddings by weakly-supervised contrastive pre-training
Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, and Furu Wei · 2022
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Can we automate scientific reviewing?
Weizhe Yuan, Pengfei Liu, and Graham Neubig · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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https://www.anthropic.com/news/claude-3-family, 2023
Anthropic · 2023
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Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, et al · 2023
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Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, and Yue Zhang · 2023
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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
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MGTBench: Benchmarking Machine-Generated Text Detection
Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, and Yang Zhang · 2023
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Fighting reviewer fatigue or amplifying bias? considerations and recommendations for use of chatgpt and other large language models in scholarly peer review
Mohammad Hosseini and Serge PJM Horbach · 2023
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Reviewergpt? an exploratory study on using large language models for paper reviewing
Ryan Liu and Nihar B Shah · 2023
Cited alongside, same era.
Distinguishing fact from fiction: A benchmark dataset for identifying machine-generated scientific papers in the llm era
Edoardo Mosca, Mohamed Hesham Ibrahim Abdalla, Paolo Basso, Margherita Musumeci, and Georg Groh · 2023
Cited alongside, same era.
Chatgpt, 2023
OpenAI · 2023
Cited alongside, same era.
Turning poachers into gamekeepers: Detecting machine-generated text in academia using large language models
Nicolai Thorer Sivesind and Andreas Bentzen Winje · 2023
Cited alongside, same era.
IMGTB: A Framework for Machine-Generated Text Detection Benchmarking
Michal Spiegel and Dominik Macko · 2023
Cited alongside, same era.
Beyond the chat: Executable and verifiable text-editing with llms
Philippe Laban, Jesse Vig, Marti Hearst, Caiming Xiong, and Chien-Sheng Wu · 2024
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The ai review lottery: Widespread ai-assisted peer reviews boost paper scores and acceptance rates
Giuseppe Russo Latona, Manoel Horta Ribeiro, Tim R Davidson, Veniamin Veselovsky, and Robert West · 2024
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A design space for intelligent and interactive writing assistants
Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A Alghamdi, et al · 2024
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Mage: Machine-generated text detection in the wild
Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, and Yue Zhang · 2024
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The ai scientist: Towards fully automated open-ended scientific discovery
Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, and David Ha · 2024
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Detectllm: Leveraging log rank information for zero-shot detection of machine-generated text
Jinyan Su, Terry Yue Zhuo, Di Wang, and Preslav Nakov · 2023
Cited alongside, same era.
Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, Katie Millican, et al · 2023
Cited alongside, same era.
Improving text embeddings with large language models
Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, and Furu Wei · 2023
Cited alongside, same era.
Mfd: Multi-feature detection of llm-generated text
Zhendong Wu and Hui Xiang · 2023
Cited alongside, same era.
Dna-gpt: Divergent n-gram analysis for training-free detection of gpt-generated text
Xianjun Yang, Wei Cheng, Yue Wu, Linda Petzold, William Yang Wang, and Haifeng Chen · 2023
Cited alongside, same era.
Beemo: Benchmark of expert-edited machine-generated outputs
Ekaterina Artemova, Jason Lucas, Saranya Venkatraman, Jooyoung Lee, Sergei Tilga, Adaku Uchendu, and Vladislav Mikhailov · 2024
Cited alongside, same era.
Marg: Multi-agent review generation for scientific papers
Mike D’Arcy, Tom Hope, Larry Birnbaum, and Doug Downey · 2024
Cited alongside, same era.
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Gpt-generated text detection: Benchmark dataset and tensor-based detection method
Zubair Qazi, William Shiao, and Evangelos E Papalexakis · 2024
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medit: Multilingual text editing via instruction tuning
Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, and Dhruv Kumar · 2024
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Prompting llms to compose meta-review drafts from peer-review narratives of scholarly manuscripts
Shubhra Kanti Karmaker Santu, Sanjeev Kumar Sinha, Naman Bansal, Alex Knipper, Souvika Sarkar, John Salvador, Yash Mahajan, Sri Guttikonda, Mousumi Akter, Matthew Freestone, et al · 2024
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Ai-powered peer review needs human supervision
Mohamed L Seghier · 2024
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jina-embeddings-v3: Multilingual embeddings with task lora, 2024
Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, Michael Günther, Bo Wang, Markus Krimmel, Feng Wang, Georgios Mastrapas, Andreas Koukounas, Andreas Koukounas, Nan Wang, and Han Xiao · 2024
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Peerarg: Argumentative peer review with llms
Purin Sukpanichnant, Anna Rapberger, and Francesca Toni · 2024
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Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions
Cheng Tan, Dongxin Lyu, Siyuan Li, Zhangyang Gao, Jingxuan Wei, Siqi Ma, Zicheng Liu, and Stan Z Li · 2024
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An examination of ai-generated text detectors across multiple domains and models
Brian Tufts, Xuandong Zhao, and Lei Li · 2024
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Ai-driven review systems: evaluating llms in scalable and bias-aware academic reviews
Keith Tyser, Ben Segev, Gaston Longhitano, Xin-Yu Zhang, Zachary Meeks, Jason Lee, Uday Garg, Nicholas Belsten, Avi Shporer, Madeleine Udell, et al · 2024
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AI-Generated Text Detection and Classification Based on BERT Deep Learning Algorithm
Hao Wang, Jianwei Li, and Zhengyu Li · 2024
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Are we there yet? revealing the risks of utilizing large language models in scholarly peer review
Rui Ye, Xianghe Pang, Jingyi Chai, Jiaao Chen, Zhenfei Yin, Zhen Xiang, Xiaowen Dong, Jing Shao, and Siheng Chen · 2024
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Is LLM a reliable reviewer? a comprehensive evaluation of LLM on automatic paper reviewing tasks
Ruiyang Zhou, Lu Chen, and Kai Yu · 2024
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Aspect-guided multi-level perturbation analysis of large language models in automated peer review
Jiatao Li, Yanheng Li, Xinyu Hu, Mingqi Gao, and Xiaojun Wan · 2025
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Deepreview: Improving llm-based paper review with human-like deep thinking process
Minjun Zhu, Yixuan Weng, Linyi Yang, and Yue Zhang · 2025
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Large language models for automated scholarly paper review: A survey
Zhenzhen Zhuang, Jiandong Chen, Hongfeng Xu, Yuwen Jiang, and Jialiang Lin · 2025
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