跳到主要内容
知仓学习社ZHICANG

neurips-submission

Use when auditing a NeurIPS main-track submission for current-cycle CFP, OpenReview, formatting, anonymity, track, contribution-type, checklist, cod…

不碰外部(只输出文字)无严重或高危命中brycewang-stanford/Awesome-Journal-Skills

它会碰到什么

扫了多少1 个文本文件,3 KB
它会碰到什么不碰外部(只输出文字)
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

NeurIPS Submission

Use this skill for a submission-readiness audit before a paper enters OpenReview. Treat every

annual rule as volatile: reopen the current CFP, Main Track Handbook, paper template, and submission

portal before final advice.

Core checks

  • Target the right track. NeurIPS main track, Evaluations & Datasets, Position Papers,

Reproducibility/MLRC, competitions, workshops, and Journal-to-Conference tracks have separate

calls and portals; do not assume transfer is possible after submission.

  • Confirm that all authors have active OpenReview profiles and that author names are entered by the

abstract deadline. After that, only author order may change under the 2026 handbook.

  • Verify the yearly LaTeX style file, PDF-only submission format, content-page limit, file-size

limit, and whether references, text appendices, checklist, and code/data are handled separately.

  • Confirm double-blind compliance across the main PDF, supplement, repository links, uploaded ZIPs,

acknowledgments, self-citations, prompts, demos, model cards, dataset cards, and metadata.

  • Check dual-submission exposure. Overlapping archival submissions can cause desk rejection; do not

submit the same work to another archival venue while it is under NeurIPS review.

NeurIPS-specific risks

  • Missing checklist is a desk-rejection risk.
  • A submission that has strong benchmark wins but weak scientific explanation is vulnerable.
  • A paper with copied, hallucinated, or unverifiable citations creates academic-integrity risk.
  • Public preprints are allowed in the 2026 policy, but aggressive advertising of a submitted paper

can violate the spirit of double-blind review.

  • Non-standard agent or LLM use that is part of the method should be documented in the experimental

setup; ordinary editing and basic code assistance generally do not need a methods statement.

Audit workflow

  1. Identify the intended track and contribution type: General, Theory, Use-Inspired,

Concept & Feasibility, Negative Results, or the current-cycle equivalent.

  1. Compare the PDF to the live template and page rules.
  2. Walk every link, repository, dataset, artifact, and supplement for anonymity.
  3. Confirm code/data ZIP handling and whether the artifact is review-only or intended for public

release after acceptance.

  1. Inspect the checklist answers for unsupported "yes" responses, missing justifications, and

claims that are broader than the evidence.

  1. Record all unresolved current-cycle items in the output.

Output format

[Submission readiness] Ready / Needs fixes / Not ready
[Track] Main / E&D / Position / MLRC / other
[Contribution type] General / Theory / Use-Inspired / Concept & Feasibility / Negative Results / current-cycle label
[Blocking official checks] <CFP/template/OpenReview/anonymity/checklist/code-data/dual-submission>
[Highest desk-reject risk] <one issue>
[Fix list] <ordered fixes before submission>

想直接用这个技能?

本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。