TMLR tightens desk rejections as submissions surge, quizzes authors on their own papers
thegautamkamath · x · 2026-09-17
The journal TMLR is tightening desk-rejection policies after a deluge of submissions strained its reviewer capacity.
- Co-EiC Nihar Shah contacted authors of 10 papers slated for desk rejection, asking them to answer questions about their own submissions.
- The move effectively tests whether authors genuinely understand their papers, highlighting submission overload in the ML community.
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