Fetching the paper…
Reading the bibliography…
Peer review is a core element of the scientific process, particularly in conference-centered fields such as ML and NLP.
Effects of group pressure upon the modification and distortion of judgments
Solomon E. Asch. 1951 · 1951
Earlier work this paper cites.
Reaching a consensus
Morris H DeGroot. 1974 · 1974
Earlier work this paper cites.
Accurate methods for the statistics of surprise and coincidence
Ted Dunning. 1993 · 1993
Earlier work this paper cites.
Effect on the quality of peer review of blinding reviewers and asking them to sign their reports: A randomized controlled trial
F Godlee, CR Gale, and CN Martyn. 1998 · 1998
Earlier work this paper cites.
Mixing beliefs among interacting agents
Guillaume Deffuant, David Neau, Frederic Amblard, and Gérard Weisbuch. 2000 · 2000
Earlier work this paper cites.
Opinion dynamics and bounded confidence: Models, analysis and simulation
Rainer Hegselmann and Ulrich Krause. 2002 · 2002
Earlier work this paper cites.
Public goods experiments without confidentiality: a glimpse into fund-raising
James Andreoni and Ragan Petrie. 2004 · 2004
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Opinion dynamics and learning in social networks
Daron Acemoglu and Asuman Ozdaglar. 2011 · 2011
Earlier work this paper cites.
Alternatives to peer review: Novel approaches for research evaluation
Aliaksandr Birukou, Joseph Wakeling, Claudio Bartolini, Fabio Casati, Maurizio Marchese, Katsiaryna Mirylenka, Nardine Osman, Azzurra Ragone, Carles Sierra, and Aalam Wassef. 2011 · 2011
Cited alongside, same era.
How social influence can undermine the wisdom of crowd effect
Jan Lorenz, Heiko Rauhut, Frank Schweitzer, and Dirk Helbing. 2011 · 2011
Cited alongside, same era.
Consensus problems on networks with antagonistic interactions
Claudio Altafini. 2013 · 2013
Cited alongside, same era.
A computational approach to politeness with application to social factors
Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Dan Jurafsky, Jure Leskovec, and Christopher Potts. 2013 · 2013
Cited alongside, same era.
Social Influence and the Collective Dynamics of Opinion Formation
Mehdi Moussaid, Juliane E. Kaemmer, Pantelis P. Analytis, and Hansjoerg Neth. 2013 · 2013
Cited alongside, same era.
Fast and accurate prediction of sentence specificity
Junyi Jessy Li and Ani Nenkova. 2015 · 2015
Later among the works it cites.
Opinion dynamics and wisdom under out-group discrimination
Steffen Eger. 2016 · 2016
Later among the works it cites.
Evaluating alternative systems of peer review: A large-scale agent-based modelling approach to scientific publication
Michail Kovanis, Ludovic Trinquart, Philippe Ravaud, and Raphaël Porcher. 2017 · 2017
Later among the works it cites.
Reviewing reviews: An evaluation of peer reviews of journal article submissions
Laura J. Falkenberg and Patricia A. Soranno. 2018 · 2018
Later among the works it cites.
Science of science
Santo Fortunato, Carl T. Bergstrom, Katy Börner, James A. Evans, Dirk Helbing, Staša Milojević, Alexander M. Petersen, Filippo Radicchi, Roberta Sinatra, Brian Uzzi, Alessandro Vespignani, Ludo Waltman, Dashun Wang, and Albert-László Barabási. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
On peer review in computer science: Analysis of its effectiveness and suggestions for improvement
Azzurra Ragone, Katsiaryna Mirylenka, Fabio Casati, and Maurizio Marchese. 2013 · 2013
Cited alongside, same era.
Opinion dynamics and wisdom under conformity
Berno Buechel, Tim Hellmann, and Stefan Klößner. 2015 · 2015
Cited alongside, same era.
The arbitrariness of reviews, and advice for school administrators
John Langford and Mark Guzdial. 2015 · 2015
Cited alongside, same era.
Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard H. Hovy, and Roy Schwartz. 2018 · 2018
Later among the works it cites.
Finding convincing arguments using scalable bayesian preference learning
Edwin Simpson and Iryna Gurevych. 2018 · 2018
Later among the works it cites.
Argument mining for understanding peer reviews
Xinyu Hua, Mitko Nikolov, Nikhil Badugu, and Lu Wang. 2019 · 2019
Closest in time.