技能 人工智能 ICLR会议论文投稿审核指南

ICLR会议论文投稿审核指南

v20260724
iclr-submission
本指南为大型人工智能/机器学习会议(如ICLR)的论文投稿提供全面的审核清单。它涵盖了双盲匿名性维护、页面限制、LLM使用披露和规避拒稿风险等关键环节。在使用前对照检查,确保论文符合所有学术规范,并准备好在OpenReview上发表。
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ICLR Submission

Use this for an ICLR main-conference submission audit. Reopen the current CFP, Author Guide, OpenReview submission form, template, Code of Ethics, Code of Conduct, and LLM policy before giving deadline-ready advice.

Submission audit

  • Confirm the target is the ICLR main conference, not a workshop, Tiny Paper, blog, affinity event, or later publication track.
  • Check that all authors have complete OpenReview profiles and that the author list follows the current freeze/change windows.
  • Verify that the abstract is substantive and non-duplicative before the abstract deadline; do not rely on a placeholder.
  • Confirm use of the current ICLR LaTeX template and current page-limit rules. In 2026, submissions used 9 pages of main text, references outside the limit, and appendices after references.
  • Inspect anonymity in the PDF, appendices, supplementary ZIP, code, data, demos, links, repository metadata, comments, acknowledgments, and file names.
  • Confirm reciprocal-reviewing compliance for the author team unless the current cycle grants an explicit exemption.
  • Complete any LLM-use disclosure truthfully. Hidden prompt injection, hallucinated citations, or undisclosed LLM-written scientific content can become ethics issues.

Desk-reject and integrity risks

  • Late or missing abstract/full paper.
  • New author added after the author-list deadline.
  • Template manipulation, over-limit main text, or missing required fields.
  • Non-anonymous public links, repository ownership, analytics, demo login, or organization slug.
  • Dual submission to another archival venue that violates current ICLR policy.
  • Unclear LLM disclosure or review-manipulation text.
  • Reciprocal-reviewing noncompliance.

Desk-reject triage table

ICLR enforcement is strict and the consequences are public: even a withdrawn submission leaves a visible OpenReview trace. Triage the highest-probability rejections first.

Risk Quick test Fix before deadline
De-anonymization Grep PDF and ZIP for names, remotes, buckets Strip metadata, neutralize links
Over-limit main text Count pages against the current rule Move material after references
Author-list change Check the freeze window in the CFP Finalize authors before the cutoff
Dual submission Confirm no archival overlap Withdraw or rescope the other venue
LLM disclosure Confirm the form field is truthful Disclose; remove hallucinated citations

Worked vignette

A team submits an LLM fine-tuning paper whose anonymized repo link points to a GitHub org naming the lab, with a caption thanking a named cluster. Both leak identity. The fix: replace the link with an anonymized supplement ZIP, remove the acknowledgment until camera-ready, re-grep the PDF for the cluster name, and confirm all authors completed OpenReview profiles before the freeze.

Reviewer-pushback patterns

  • "Looks like a workshop paper." Reframe for the main track or route elsewhere.
  • "Possible dual submission." Document why the other version is non-archival under current policy.

Output format

[ICLR readiness] Ready / Needs fixes / Not ready
[OpenReview state] profiles / abstract / paper / supplement / reviewer nomination
[Blocking risks] <anonymity/page-limit/dual-submission/LLM/reciprocal-reviewing>
[Fix order] <highest-impact fixes before deadline>
[Current-cycle pages to reopen] <CFP, Author Guide, OpenReview group, template, LLM policy>
信息
Category 人工智能
Name iclr-submission
版本 v20260724
大小 3.68KB
更新时间 2026-07-28
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