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Machine learning research papers are becoming too wordy, users say

A discussion on Reddit's r/MachineLearning subreddit highlights a perceived trend of machine learning research papers becoming excessively wordy. Some users feel that papers are increasing in length, often exceeding 20-40 pages, and are incorporating undefined new terminology. Additionally, there's a sentiment that mathematical explanations are becoming less common, with an over-reliance on block diagrams that lack crucial details. AI

IMPACT This discussion highlights potential challenges in the accessibility and clarity of current machine learning research.

RANK_REASON User discussion on a subreddit about a perceived trend in research paper writing style.

Read on r/MachineLearning →

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

Machine learning research papers are becoming too wordy, users say

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
User discussion on a subreddit about a perceived trend in research paper writing style.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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paper, opinion
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Clearly on-topic for AI-industry coverage.
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Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

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

    Has machine learning research gotten more "wordy"? [D]

    <!-- SC_OFF --><div class="md"><p>I feel like I am unable to digest most machine learning research these days. The primary reason is because I feel like they have gotten tremendously wordy. I find it not uncommon to find research papers consisting of 20+, 30+, 40+ pages of pure t…