Can We Automate Scientific Reviewing?

Can We Automate Scientific Reviewing?

30 January 2021

Graham Neubig

Papers citing "Can We Automate Scientific Reviewing?"

17 / 17 papers shown

Title
Are the confidence scores of reviewers consistent with the review content? Evidence from top conference proceedings in AI Wenqing Wu Haixu Xi Chengzhi Zhang 19 5 0 21 May 2025
REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning Pawin Taechoyotin Daniel Acuna LRM 17 0 0 16 May 2025
Re $^2$ : A Consistency-ensured Dataset for Full-stage Peer Review and Multi-turn Rebuttal Discussions Daoze Zhang Zhijian Bao S. Du Zhiyi Zhao Kuangling Zhang Dezheng Bao Yang Yang 29 0 0 12 May 2025
ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews Xian Gao Jiacheng Ruan Jingsheng Gao Ting Liu Yuzhuo Fu 62 1 0 11 Mar 2025
The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review Buxin Su Jiayao Zhang Natalie Collina Yuling Yan Didong Li Kyunghyun Cho Jianqing Fan Aaron Roth Weijie J. Su 29 4 0 24 Aug 2024
MOPRD: A multidisciplinary open peer review dataset Jialiang Lin Jiaxin Song Zhangping Zhou Yidong Chen X. Shi 33 12 0 09 Dec 2022
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach Jiayao Zhang Hongming Zhang Zhun Deng Dan Roth 48 14 0 07 Nov 2022
Detecting Generated Scientific Papers using an Ensemble of Transformer Models Anna Glazkova Maksim Glazkov MedIm 38 5 0 17 Sep 2022
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics Huan Yee Koh Jiaxin Ju Ming Liu Shirui Pan 83 122 0 03 Jul 2022
Calibration with Privacy in Peer Review Wenxin Ding Gautam Kamath Weina Wang Nihar B. Shah 48 7 0 27 Jan 2022
DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions Neha Nayak Kennard Timothy J. O'Gorman Rajarshi Das Akshay Sharma Chhandak Bagchi Matthew Clinton Pranay Kumar Yelugam Hamed Zamani Andrew McCallum 48 28 0 16 Oct 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 85 3,858 0 28 Jul 2021
BARTScore: Evaluating Generated Text as Text Generation Weizhe Yuan Graham Neubig Pengfei Liu 55 811 0 22 Jun 2021
How well do you know your summarization datasets? Priyam Tejaswin Dhruv Naik Peng Liu 33 26 0 21 Jun 2021
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models Sandeep Subramanian Raymond Li Jonathan Pilault C. Pal 248 215 0 07 Sep 2019
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks Michihiro Yasunaga Jungo Kasai Rui Zhang Alexander R. Fabbri Irene Z Li Dan Friedman Dragomir R. Radev 73 206 0 04 Sep 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 207 1,255 0 14 Nov 2016