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TMLR finds authors struggle to explain their submitted papers

Transactions on Machine Learning Research (TMLR) contacted the authors of ten papers that were initially slated for desk rejection to gauge their understanding of their own work. The findings indicated a concerning lack of author engagement and comprehension, with several authors withdrawing submissions, being unavailable, or failing to answer basic questions about their papers. Only one paper's authors could answer all questions, though a significant flaw was still identified in that submission. AI

IMPACT Highlights potential issues in the quality and authorial understanding of submitted research within the machine learning community.

RANK_REASON The cluster discusses a process and findings related to the peer-review of academic papers, fitting the 'research' bucket. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

TMLR finds authors struggle to explain their submitted papers

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The cluster discusses a process and findings related to the peer-review of academic papers, fitting the 'research' bucket. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/hihey54 ·

    TMLR reached out to the authors of 10 papers slated for desk rejection, in an attempt to understand if the authors could explain the paper they submitted [D]

    <!-- SC_OFF --><div class="md"><p>You can read more here: <a href="https://medium.com/@TmlrOrg/asking-authors-about-their-own-papers-3d2e04e5dee0">https://medium.com/@TmlrOrg/asking-authors-about-their-own-papers-3d2e04e5dee0</a></p> <p>The results are (imho) concerning. Taken fr…