First time ARR users - some questions [D]
📰 Reddit r/MachineLearning
Learn how to navigate the ARR review process for machine learning papers and understand reviewer feedback
Action Steps
- Read and analyze the reviewer comments and scores to identify areas of improvement
- Address the weaknesses and limitations mentioned by reviewers in the paper
- Evaluate the scores for soundness, reproducibility, and excitement to understand the reviewer's perspective
- Use the feedback to revise and resubmit the paper to IJCNLP-AACL or other conferences
- Consider the trade-offs between revising the paper and submitting to a different venue
Who Needs to Know This
Researchers and authors in machine learning can benefit from understanding the ARR review process to improve their paper submissions and respond to reviewer feedback effectively
Key Insight
💡 Understanding the ARR review process and addressing reviewer feedback can significantly improve the chances of a successful paper submission
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Get feedback on your ML paper from ARR reviewers! Understand the scores and comments to improve your submission #ARR #MachineLearning
Key Takeaways
Learn how to navigate the ARR review process for machine learning papers and understand reviewer feedback
Full Article
We submitted our first paper to ARR, intending to commit to IJCNLP-AACL. Area: Multilingualism and Cross-Lingual NLP Scores: (3,4) (2.5,3) (3,3) - average 2.83 for reviews, 3.33 for confidence 3 for soundness on all, 4 for reproducibility, and 2,3,3 for excitement. The reviewer who gave us 2.5 has a very short review. They only list one weakness in two sentences and give the paper 2.5. They also give 1,2 for the datasets and software while
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