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ML reviewers debate impact of poor writing on paper quality

By PulseAugur Editorial · [1 sources] ·

A machine learning researcher is seeking advice on how to handle academic papers that present strong technical results but are poorly written and lack proper citation. The reviewer is unsure how much weight to give to the quality of writing and presentation versus the technical merit and experimental outcomes when deciding on a paper's acceptance or revision. This query highlights a common dilemma in academic peer review regarding the balance between substance and clarity. AI

IMPACT Highlights challenges in academic publishing for AI research, potentially impacting the dissemination of new findings.

RANK_REASON User-generated discussion/opinion on a common academic practice.

Read on r/MachineLearning →

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

ML reviewers debate impact of poor writing on paper quality

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COVERAGE [1]

  1. r/MachineLearning TIER_1 Français(FR) · /u/Few-Annual-157 ·

    Paper review question [D]

    <!-- SC_OFF --><div class="md"><p>I'm curious how other reviewers handle papers that report impressive results but are extremely poorly written. I'm not just talking about grammar, etc. I am more concerned about the overall presentation of ideas and how the authors position their…

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