Computational support for academic peer review: A perspective from artificial intelligence
Computational support for academic peer review: a perspective from artificial intelligence Page
1 70 COMMUNICATIONS OF THE ACM | MARCH 2017 | VOL. 60 | NO. 3 review articles ILL …
1 70 COMMUNICATIONS OF THE ACM | MARCH 2017 | VOL. 60 | NO. 3 review articles ILL …
Scholarly recommendation systems: a literature survey
A scholarly recommendation system is an important tool for identifying prior and related
resources such as literature, datasets, grants, and collaborators. A well-designed scholarly …
resources such as literature, datasets, grants, and collaborators. A well-designed scholarly …
Artificial intelligence to support publishing and peer review: A summary and review
Technology is being developed to support the peer review processes of journals,
conferences, funders, universities, and national research evaluations. This literature and …
conferences, funders, universities, and national research evaluations. This literature and …
Challenges, experiments, and computational solutions in peer review
NB Shah - Communications of the ACM, 2022 - dl.acm.org
Challenges, experiments, and computational solutions in peer review Page 1 76
COMMUNICATIONS OF THE ACM | JUNE 2022 | VOL. 65 | NO. 6 review articles IMA GER YB Y …
COMMUNICATIONS OF THE ACM | JUNE 2022 | VOL. 65 | NO. 6 review articles IMA GER YB Y …
Reviewergpt? an exploratory study on using large language models for paper reviewing
Given the rapid ascent of large language models (LLMs), we study the question:(How) can
large language models help in reviewing of scientific papers or proposals? We first conduct …
large language models help in reviewing of scientific papers or proposals? We first conduct …
Decision-oriented dialogue for human-ai collaboration
We describe a class of tasks called dialogue decision problems, in which AI assistants must
collaborate with one or more humans via natural language to help them make complex …
collaborate with one or more humans via natural language to help them make complex …
Counterfactual evaluation of peer-review assignment policies
Peer review assignment algorithms aim to match research papers to suitable expert
reviewers, working to maximize the quality of the resulting reviews. A key challenge in …
reviewers, working to maximize the quality of the resulting reviews. A key challenge in …
Design and analysis of the NIPS 2016 review process
Neural Information Processing Systems (NIPS) is a top-tier annual conference in machine
learning. The 2016 edition of the conference comprised more than 2,400 paper …
learning. The 2016 edition of the conference comprised more than 2,400 paper …
A one-size-fits-all approach to improving randomness in paper assignment
The assignment of papers to reviewers is a crucial part of the peer review processes of large
publication venues, where organizers (eg, conference program chairs) rely on algorithms to …
publication venues, where organizers (eg, conference program chairs) rely on algorithms to …
Paper matching with local fairness constraints
Automatically matching reviewers to papers is a crucial step of the peer review process for
venues receiving thousands of submissions. Unfortunately, common paper matching …
venues receiving thousands of submissions. Unfortunately, common paper matching …