English(EN) How to get desk-rejected at NeurIPS/ICML/ICLR [D]

机器学习会议收紧规则，将LLM使用和合著者行为纳入直接拒稿标准

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-12 01:51

NeurIPS、ICML和ICLR等主要机器学习会议正日益实施更严格的政策，可能导致论文被直接拒稿。历史上，拒稿主要归因于论文本身的问题，如超出页数限制或违反匿名性。然而，会议指南的最新更新现在包括合著者糟糕的审稿历史、不当使用LLM、利益冲突，甚至作者之间的串通等原因。 AI

影响学术出版标准正在演变，以应对AI在研究中的作用，这可能会影响AI研究的提交和审稿方式。

排序理由该条目讨论了学术会议的政策变更和指南，属于研究相关政策。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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: Tool; 该条目讨论了学术会议的政策变更和指南，属于研究相关政策。[lever_c_demoted from research: ic=1 ai=1.0]
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: policy, 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: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

r/MachineLearning TIER_1 English(EN) · /u/martincsweiss · 2026-11-12 01:51

如何在 NeurIPS/ICML/ICLR 被拒 [D]

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1xu08e7/how_to_get_deskrejected_at_neuripsicmliclr_d/"> <img alt="How to get desk-rejected at NeurIPS/ICML/ICLR [D]" src="https://preview.redd.it/9fqm4f70731i1.png?width=140&height=78&auto=webp&am…