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Automatic reviewing helps handle a large volume of papers, provides early feedback and quality control, reduces bias, and allows the analysis of trends.
Eda: Easy data augmentation techniques for boosting performance on text classification tasks
Wei, J.; and Zou, K. 2019 · 1901
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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Sanh, V.; Debut, L.; Chaumond, J.; and Wolf, T. 2019 · 1910
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WordNet: A Lexical Database for English
Miller, G. A. 1995 · 1995
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Construction and interference in learning from multiple representation
Schnotz, W.; and Bannert, M. 2003 · 2003
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Dual coding theory and the mental lexicon
Paivio, A. 2010 · 2010
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Algorithms for hyper-parameter optimization
Bergstra, J.; Bardenet, R.; Bengio, Y.; and Kégl, B. 2011 · 2011
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A clearer picture: The contribution of visuals and text to framing effects
Powell, T. E.; Boomgaarden, H. G.; De Swert, K.; and De Vreese, C. H. 2015 · 2015
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Blinded with science: Trivial graphs and formulas increase ad persuasiveness and belief in product efficacy
Tal, A.; and Wansink, B. 2016 · 2016
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Peer reviewers unmasked: Largest global survey reveals trends
Vesper, I. 2018 · 2018
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Predicting paper acceptance via interpretable decision sets
Bao, P.; Hong, W.; and Li, X. 2021 · 2021
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AI-assisted peer review
Checco, A.; Bracciale, L.; Loreti, P.; Pinfield, S.; and Bianchi, G. 2021 · 2021
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Improved sentiment analysis using a customized distilbert NLP configuration
Gao, H. 2022 · 2022
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The evolving crisis of the peer-review process
Petrescu, M.; and Krishen, A. S. 2022 · 2022
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Is the future of peer review automated?
Schulz, R.; Barnett, A.; Bernard, R.; Brown, N. J.; Byrne, J. A.; Eckmann, P.; Gazda, M. A.; Kilicoglu, H.; Prager, E. M.; Salholz-Hillel, M.; et al. 2022 · 2022
Cited alongside, same era.
PPI++: Efficient prediction-powered inference
Angelopoulos, A. N.; Duchi, J. C.; and Zrnic, T. 2023 · 2023
Cited alongside, same era.
Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments
Goldberg, A.; Stelmakh, I.; Cho, K.; Oh, A.; Agarwal, A.; Belgrave, D.; and Shah, N. B. 2023 · 2023
Cited alongside, same era.
Challenges and applications of large language models
Kaddour, J.; Harris, J.; Mozes, M.; Bradley, H.; Raileanu, R.; and McHardy, R. 2023 · 2023
Cited alongside, same era.
Best humans still outperform artificial intelligence in a creative divergent thinking task
AutoEval Done Right: Using Synthetic Data for Model Evaluation
Boyeau, P.; Angelopoulos, A. N.; Yosef, N.; Malik, J.; and Jordan, M. I. 2024 · 2024
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MARG: Multi-Agent Review Generation for Scientific Papers
D’Arcy, M.; Hope, T.; Birnbaum, L.; and Downey, D. 2024 · 2024
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What Can Natural Language Processing Do for Peer Review?
Kuznetsov, I.; Afzal, O. M.; Dercksen, K.; Dycke, N.; Goldberg, A.; Hope, T.; Hovy, D.; Kummerfeld, J. K.; Lauscher, A.; Leyton-Brown, K.; et al. 2024 · 2024
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The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates
Latona, G. R.; Ribeiro, M. H.; Davidson, T. R.; Veselovsky, V.; and West, R. 2024 · 2024
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Koivisto, M.; and Grassini, S. 2023 · 2023
Cited alongside, same era.
Liang, W.; Zhang, Y.; Cao, H.; Wang, B.; Ding, D.; Yang, X.; Vodrahalli, K.; He, S.; Smith, D.; Yin, Y.; McFarland, D.; and Zou, J. 2023 · 2023
Cited alongside, same era.
ReviewerGPT? An exploratory study on using large language models for paper reviewing
Liu, R.; and Shah, N. B. 2023 · 2023
Cited alongside, same era.
GPT4 is slightly helpful for peer-review assistance: A pilot study
Robertson, Z. 2023 · 2023
Cited alongside, same era.
Verbosity bias in preference labeling by large language models
Saito, K.; Wachi, A.; Wataoka, K.; and Akimoto, Y. 2023 · 2023
Cited alongside, same era.
AI model GPT-3 (dis) informs us better than humans
Spitale, G.; Biller-Andorno, N.; and Germani, F. 2023 · 2023
Cited alongside, same era.
Siren’s song in the ai ocean: A survey on hallucination in large language models
Zhang, Y.; Li, Y.; Cui, L.; Cai, D.; Liu, L.; Fu, T.; Huang, X.; Zhao, E.; Zhang, Y.; Chen, Y.; et al. 2023 · 2023
Cited alongside, same era.
Phi-3 technical report: A highly capable language model locally on your phone
Abdin, M.; Jacobs, S. A.; Awan, A. A.; Aneja, J.; Awadallah, A.; Awadalla, H.; Bach, N.; Bahree, A.; Bakhtiari, A.; Behl, H.; et al. 2024 · 2024
Cited alongside, same era.
Liu, N. F.; Lin, K.; Hewitt, J.; Paranjape, A.; Bevilacqua, M.; Petroni, F.; and Liang, P. 2024 · 2024
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The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Lu, C.; Lu, C.; Lange, R. T.; Foerster, J.; Clune, J.; and Ha, D. 2024 · 2024
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Anthropic’s New Tool Will Write Better Prompts For You
McKay, C. 2024 · 2024
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Disentangling length from quality in direct preference optimization
Park, R.; Rafailov, R.; Ermon, S.; and Finn, C. 2024 · 2024
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Prompting LLMs to Compose Meta-Review Drafts from Peer-Review Narratives of Scholarly Manuscripts
Santu, S. K. K.; Sinha, S. K.; Bansal, N.; Knipper, A.; Sarkar, S.; Salvador, J.; Mahajan, Y.; Guttikonda, S.; Akter, M.; Freestone, M.; and au2, M. C. W. J. 2024 · 2024
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Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
Suzgun, M.; and Kalai, A. T. 2024 · 2024
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Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions
Tan, C.; Lyu, D.; Li, S.; Gao, Z.; Wei, J.; Ma, S.; Liu, Z.; and Li, S. Z. 2024 · 2024
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Judging llm-as-a-judge with mt-bench and chatbot arena
Zheng, L.; Chiang, W.-L.; Sheng, Y.; Zhuang, S.; Wu, Z.; Zhuang, Y.; Lin, Z.; Li, Z.; Li, D.; Xing, E.; et al. 2024 · 2024
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Universal and transferable adversarial attacks on aligned language models
Zou, A.; Wang, Z.; Kolter, J. Z.; and Fredrikson, M. 2023 · 2024
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