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AI researchers seek guidance on paper review scores and rebuttal strategies

A user on the r/MachineLearning subreddit is seeking advice regarding their first paper submission to ARR (likely referring to a conference or journal like ACL/IJCNLP). The paper, focused on Multilingualism and Cross-Lingual NLP, received average review scores of 2.83 with a confidence score of 3.33. The user is asking for insights on whether this score is competitive for the target venue, how outlier reviews are weighted in meta-reviews, the potential impact of rebuttals, and tips for crafting an effective rebuttal. AI

RANK_REASON User is asking questions about the peer review process for an academic paper, not announcing a new development.

Read on r/MachineLearning →

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

AI researchers seek guidance on paper review scores and rebuttal strategies

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0 / 100
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Newsworthiness bucket
Commentary
User is asking questions about the peer review process for an academic paper, not announcing a new development.
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Single-source cluster
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paper
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Standard
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96 days old
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/MachineLearning TIER_1 Français(FR) · /u/hepiga ·

    First time ARR users - some questions [D]

    <!-- SC_OFF --><div class="md"><p>We submitted our first paper to ARR, intending to commit to IJCNLP-AACL. Area: Multilingualism and Cross-Lingual NLP</p> <p>Scores: (3,4) (2.5,3) (3,3) - average 2.83 for reviews, 3.33 for confidence</p> <p>3 for soundness on all, 4 for reproduci…