•1 min read•from Machine Learning
public reviews in conferences [D]
Our take
Public reviews in conferences offer valuable insights, fostering transparency and encouraging stronger reviewer accountability. The ICLR model exemplifies this, allowing researchers to gauge peer perspectives on their work while enhancing the overall publishing process. However, concerns about potential drawbacks, such as reviewer hesitance or bias, warrant consideration. Would the academic community truly benefit from universal public reviews? As we explore this question, it's essential to weigh the advantages of openness against any possible challenges, ultimately aiming for a more informed and collaborative research environment.
Why don't all conferences make reviews public?
I find ICLR public reviews to be very useful :
- I get an idea of how others in the field think about the work
- Makes the publishing process more transparent
- Reviewers will potentially spend more effort to avoid public scrutiny
Are there any drawbacks in having ICLR-like public reviews? (where the reviewer identifies are masked) Would the community benefit if all conferences released their reviews?
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