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English(EN) Why is TMLR so slow in recent times [D]

TMLR因审稿周期长而面临批评,影响研究人员

一位博士生对提交给《机器学习研究汇刊》(TMLR)的论文审稿周期过长表示沮丧。尽管收到了积极的审稿意见并完成了小修,但该学生已经两个多月没有收到审稿人的回复。这种延误尤其令人担忧,因为该学生正在申请博士后职位,而论文的简历收录具有时效性。 AI

影响 学术期刊发表周期缓慢会阻碍研究成果的传播,并影响研究人员的职业发展。

排序理由 用户对期刊审稿流程缓慢表示沮丧。

在 r/MachineLearning 阅读 →

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TMLR因审稿周期长而面临批评,影响研究人员

本文如何被排名

Signal score
1 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
用户对期刊审稿流程缓慢表示沮丧。
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.
Topics
paper
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准

报道来源 [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Fantastic-Nerve-4056 ·

    近期TMLR为何如此缓慢[D]

    <!-- SC_OFF --><div class="md"><p>A final-year PhD student here. A few months back, I submitted a solo-authored paper to TMLR. The reviewers were on time and extremely positive, with some minor revisions. After submitting the revised version, there was absolute silence from the r…