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Peer review is a cornerstone of quality control in scientific publishing.
Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons
Ralph Allan Bradley and Milton E. Terry. 1952 · 1952
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The Matthew effect in science: The reward and communication systems of science are considered
Robert K Merton. 1968 · 1968
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Judgment under uncertainty: Heuristics and biases
Amos Tversky, Daniel Kahneman, and Paul Slovic. 1974 · 1974
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The Measurement of Observer Agreement for Categorical Data
J Richard Landis and Gary G Koch. 1977 · 1977
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Learning from Examples: Instructional Principles from the Worked Examples Research
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Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond
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LoRA: Low-Rank Adaptation of Large Language Models
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022 · 2022
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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
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«I Do Not Have Time»-Is This the End of Peer Review in Public Health Sciences?
Nino Künzli, Anke Berger, Katarzyna Czabanowska, Raquel Lucas, Andrea Madarasova Geckova, Sarah Mantwill, and Olaf von dem Knesebeck. 2022 · 2022
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Compute trends across three eras of machine learning
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Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text
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Can We Automate Scientific Reviewing?
Weizhe Yuan, Pengfei Liu, and Graham Neubig. 2022 · 2022
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Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, et al. 2023 · 2023
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PolitePEER: does peer review hurt? a dataset to gauge politeness intensity in the peer reviews
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NLPeer: A unified resource for the computational study of peer review
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OpenICL: An Open-Source Framework for In-context Learning
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Please be polite to your peers: a multi-task model for assessing the tone and objectivity of critiques of peer review comments
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Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios N. Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I. Jordan, Joseph E. Gonzalez, and Ion Stoica. 2024 · 2024
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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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Automatic analysis of substantiation in scientific peer reviews
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To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing
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Exploring the Benefits of Training Expert Language Models over Instruction Tuning
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Novelty in research: A common reason for manuscript rejection!
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MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification
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What Can Natural Language Processing Do for Peer Review?
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Are Emergent Abilities in Large Language Models just In-Context Learning?
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Gemma: Open Models Based on Gemini Research and Technology
Thomas Mesnard, Cassidy Hardin, Robert Dadashi, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Léonard Hussenot, Pier Giuseppe Sessa, Aakanksha Chowdhery, Adam Roberts, Aditya Barua, Alex Botev, Alex Castro-Ros, Ambrose Slone, et al. 2024 · 2024
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Norman Mu, Sarah Chen, Zifan Wang, Sizhe Chen, David Karamardian, Lulwa Aljeraisy, Dan Hendrycks, and David Wagner. 2024 · 2024
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NICE: To Optimize In-Context Examples or Not?
Pragya Srivastava, Satvik Golechha, Amit Deshpande, and Amit Sharma. 2024 · 2024
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ReviewFlow: Intelligent Scaffolding to Support Academic Peer Reviewing
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SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
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Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
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NELLIE: Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning
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Yi: Open Foundation Models by 01.AI
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Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing Tasks
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