Work of months and years being reviewed like in a day or two, and comments like from a bot- without appropriate pointers, narratives, construction, good intentions, and a plethora of here and there. It is as such in most of the academic research reviews. Sigh!
Seeing terrible @NeurIPSConf reviews for the nth time I am convinced that we should ban reviewers from submitting as authors if they can't write a review in good faith. We need better accountability in #AI conferences
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I agree with the sentiment. How about we abolish peer-review for conferences altogether? It obviously doesn't work. Just have a public commenting system on arxiv.
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It works, but it works really badly. Removing it will just make things even worse. Fixing it (which should be possible but likely requires deep thinking and fundamental changes) is a better solution.
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I have got reviews of my journal submission that were worse! Paper got rejected, but absolutely no takeaway messages from the reviewers. That paper is still in cold storage
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We are all suffering reviewer-fatigue. The peer review system needs an over haul. I think it is a much bigger problem than just bad reviews.
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We should have a blockchain like solution where papers are reviews are public and tied to their writers. Something like Arxiv with public reviews in a decentralized manner (doesn't have to be blockchain) it could be Arxiv itself if we talk agree to trust whoever run Arxiv
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But how?
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OpenReview seems to be an immediate solution.
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So one of
@NeurIPSConf reviewer says The paper is not clearly written. One of the reviewer says Well written and very suitable for#NeurIPS2020. As a first timer, how should I write a rebuttal?
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I just say something like - as the reviewers directly contracted each other I don’t have enough information to respond.
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