Submitted by Blasphemer666 t3_yvkvgo in MachineLearning
Is it a good practice for reviewers? Ask you to compare with for example ArXiv. papers.
Submitted by Blasphemer666 t3_yvkvgo in MachineLearning
Is it a good practice for reviewers? Ask you to compare with for example ArXiv. papers.
dojoteef t1_iwf3rdk wrote
It depends. Most conferences specifically state their policy in relation to preprints. For example NeurIPS states:
> What is the policy on comparisons to recent work? Papers appearing less than two months before the submission deadline are generally considered concurrent to NeurIPS submissions. Authors are not expected to compare to work that appeared only a month or two before the deadline.
> Are arxiv papers also subject to the policy above? Yes, we do not distinguish arxiv papers and other published (conference & journal) papers, and the two-month rule applies in the same way. More nuanced judgements, including how to determine the date of publication, should be made by the area chair handling the submission.
and ICLR has a similar policy:
> Q: Are authors expected to cite and compare with very recent work? What about non peer-reviewed (e.g., ArXiv) papers? (updated on 7 November 2022)
> A: We consider papers contemporaneous if they are published (available in online proceedings) within the last four months. That means, since our full paper deadline is September 28, if a paper was published (i.e., at a peer-reviewed venue) on or after May 28, 2022, authors are not required to compare their own work to that paper. Authors are encouraged to cite and discuss all relevant papers, but they may be excused for not knowing about papers not published in peer-reviewed conference proceedings or journals, which includes papers exclusively available on arXiv. Reviewers are encouraged to use their own good judgement and, if in doubt, discuss with their area chair.
You should check the policy for the conference you are reviewing for/submitting to for more relevant instructions.