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Peer review is central to academic publishing, but the growing volume of submissions is straining the process.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Peer grading the peer reviews: A dual-role approach for lightening the scholarly paper review process
Ines Arous, Jie Yang, Mourad Khayati, and Philippe Cudré-Mauroux. 2021 · 1927
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Measuring nominal scale agreement among many raters
Joseph L Fleiss. 1971 · 1971
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Measuring the Quality of Editorial Peer Review
Tom Jefferson, Elizabeth Wager, and Frank Davidoff. 2002 · 2002
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NLTK: The natural language toolkit
Steven Bird and Edward Loper. 2004 · 2004
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross B. Girshick, Kaiming He, and Piotr Dollár. 2017 · 2017
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GLTR: statistical detection and visualization of generated text
Sebastian Gehrmann, Hendrik Strobelt, and Alexander M. Rush. 2019 · 2019
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Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Aspect-based sentiment analysis of scientific reviews
Souvic Chakraborty, Pawan Goyal, and Animesh Mukherjee. 2020 · 2020
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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 · 2020
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Reviewrobot: Explainable paper review generation based on knowledge synthesis
Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, and Nazneen Fatema Rajani. 2020 · 2020
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Bertscore: Evaluating text generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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Ai-assisted peer review
Alessandro Checco, Lorenzo Bracciale, Pierpaolo Loreti, Stephen Pinfield, and Giuseppe Bianchi. 2021 · 2021
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All that’s ’human’ is not gold: Evaluating human evaluation of generated text
Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, and Noah A. Smith. 2021 · 2021
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SummEval: Re-evaluating summarization evaluation
Alexander R. Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, and Dragomir Radev. 2021 · 2021
Cited alongside, same era.
A novice-reviewer experiment to address scarcity of qualified reviewers in large conferences
Ivan Stelmakh, Nihar B. Shah, Aarti Singh, and Hal Daumé III. 2021a · 2021
Cited alongside, same era.
Debiasing evaluations that are biased by evaluations
Jingyan Wang, Ivan Stelmakh, Yuting Wei, and Nihar B. Shah. 2021 · 2021
Cited alongside, same era.
DISAPERE: A dataset for discourse structure in peer review discussions
Neha Nayak Kennard, Tim O’Gorman, Rajarshi Das, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Hamed Zamani, and Andrew McCallum. 2022 · 2022
Cited alongside, same era.
Is the future of peer review automated?
Robert Schulz, Adrian Barnett, René Bernard, Nicholas JL Brown, Jennifer A Byrne, Peter Eckmann, Małgorzata A Gazda, Halil Kilicoglu, Eric M Prager, Maia Salholz-Hillel, et al. 2022 · 2022
Cited alongside, same era.
Summarization is (almost) dead
Xiao Pu, Mingqi Gao, and Xiaojun Wan. 2023 · 2023
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Program chairs’ report on peer review at acl 2023
Anna Rogers, Marzena Karpinska, Jordan Boyd-Graber, and Naoaki Okazaki. 2023 · 2023
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A survey on llm-generated text detection: Necessity, methods, and future directions
Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Derek F. Wong, and Lidia S. Chao. 2023 · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. 2023 · 2023
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Instructeval: Systematic evaluation of instruction selection methods
Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, and Karthik Narasimhan. 2024 · 2024
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Challenges, experiments, and computational solutions in peer review
Nihar B. Shah. 2022 · 2022
Cited alongside, same era.
Can we automate scientific reviewing?
Weizhe Yuan, Pengfei Liu, and Graham Neubig. 2022 · 2022
Cited alongside, same era.
Focus: Big data: Chatgpt and the future of journal reviews: A feasibility study
Som Biswas, Dushyant Dobaria, and Harris L Cohen. 2023 · 2023
Cited alongside, same era.
On the relation between sensitivity and accuracy in in-context learning
Yanda Chen, Chen Zhao, Zhou Yu, Kathleen McKeown, and He He. 2023 · 2023
Cited alongside, same era.
NLPeer: A unified resource for the computational study of peer review
Nils Dycke, Ilia Kuznetsov, and Iryna Gurevych. 2023 · 2023
Cited alongside, same era.
Comparing scientific abstracts generated by chatgpt to real abstracts with detectors and blinded human reviewers
Catherine A. Gao, Frederick M. Howard, Nikolay S. Markov, Emma C. Dyer, Siddhi Ramesh, Yuan Luo, and Alexander T. Pearson. 2023 · 2023
Cited alongside, same era.
Peer reviews of peer reviews: A randomized controlled trial and other experiments
Alexander Goldberg, Ivan Stelmakh, Kyunghyun Cho, Alice H. Oh, Alekh Agarwal, Danielle Belgrave, and Nihar B. Shah. 2023 · 2023
Cited alongside, same era.
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LLMs assist NLP researchers: Critique paper (meta-)reviewing
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, and Wenpeng Yin. 2024 · 2024
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Reviewer2: Optimizing review generation through prompt generation
Zhaolin Gao, Kianté Brantley, and Thorsten Joachims. 2024 · 2024
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Agentreview: Exploring peer review dynamics with LLM agents
Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, and Jindong Wang. 2024 · 2024
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What can natural language processing do for peer review?
Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, et al. 2024 · 2024
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Monitoring ai-modified content at scale: A case study on the impact of chatgpt on AI conference peer reviews
Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, and James Y. Zou. 2024a · 2024
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Reviewflow: Intelligent scaffolding to support academic peer reviewing
Lu Sun, Aaron Chan, Yun Seo Chang, and Steven P. Dow. 2024a · 2024
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Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network
Zhongyi Wang, Haoxuan Zhang, Haihua Chen, Yunhe Feng, and Junhua Ding. 2024 · 2024
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Is your paper being reviewed by an llm? investigating AI text detectability in peer review
Sungduk Yu, Man Luo, Avinash Madasu, Vasudev Lal, and Phillip Howard. 2024 · 2024
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