TMLR Asked 10 Desk-Reject Candidates to Explain Their Own Papers, One in Ten Withdrew Immediately
Summary
Transactions on Machine Learning Research disclosed an experiment in which editors reached out to authors of ten papers slated for desk rejection and asked them to explain their own submissions. One team withdrew immediately, and the aggregate response quality raised concerns about how many nominally AI-authored submissions the authors could actually defend. Reddit's r/MachineLearning surfaced the post on the front page.
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TMLR has faced a deluge of submissions, necessitating stricter desk rejection policies due to limited reviewer capacity Co-EiC Nihar Shah reached out to authors of 10 papers slated for desk reject. Could they answer que…
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Originally reported by medium.com
Read the original article →Original headline: TMLR Asked 10 Desk-Reject Candidates to Explain Their Own Papers, One in Ten Withdrew Immediately