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In recent years, the rapid increase in scientific papers has overwhelmed traditional review mechanisms, resulting in varying quality of publications.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 1904
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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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Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 1910
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Development of the review quality instrument (rqi) for assessing peer reviews of manuscripts
Susan Van Rooyen, Nick Black, and Fiona Godlee. 1999 · 1999
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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The publishing delay in scholarly peer-reviewed journals
Bo-Christer Björk and David Solomon. 2013 · 2013
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Bias in peer review
Carole J Lee, Cassidy R Sugimoto, Guo Zhang, and Blaise Cronin. 2013 · 2013
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Peer review in scientific publications: benefits, critiques, & a survival guide
Jacalyn Kelly, Tara Sadeghieh, and Khosrow Adeli. 2014 · 2014
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Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references
Lutz Bornmann and Rüdiger Mutz. 2015 · 2015
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The changing forms and expectations of peer review
SPJM ( Serge) Horbach and W ( Willem) Halffman. 2018 · 2018
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A dataset of peer reviews (peerread): Collection, insights and nlp applications
Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine Van Zuylen, Sebastian Kohlmeier, Eduard Hovy, and Roy Schwartz. 2018 · 2018
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SPECTER: Document-level representation learning using citation-informed transformers
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel Weld. 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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Train short, test long: Attention with linear biases enables input length extrapolation
Ofir Press, Noah Smith, and Mike Lewis. 2021 · 2021
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Nlpeer: A unified resource for the computational study of peer review
Nils Dycke, Ilia Kuznetsov, and Iryna Gurevych. 2022 · 2022
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A length-extrapolatable transformer
Yutao Sun, Li Dong, Barun Patra, Shuming Ma, Shaohan Huang, Alon Benhaim, Vishrav Chaudhary, Xia Song, and Furu Wei. 2022 · 2022
Using transformer language models to validate peer-assigned essay scores in massive open online courses (moocs)
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Alpaca: A strong, replicable instruction-following model
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Llama: Open and efficient foundation language models
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Academicgpt: Empowering academic research
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al. 2022 · 2022
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Can we automate scientific reviewing?
Weizhe Yuan, Pengfei Liu, and Graham Neubig. 2022 · 2022
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Investigating fairness disparities in peer review: A language model enhanced approach
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al. 2023 · 2023
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Needle in a haystack–pressure testing llms
G Kamradt. 2023 · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
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Reviewer2: Optimizing review generation through prompt generation
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A survey of neural code intelligence: Paradigms, advances and beyond
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