Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when auditing an ACL submission before an ACL Rolling Review cycle deadline, covering long/short paper page budgets, the mandatory Limitations section, Responsible NLP checklist, anonymized PDFs and supplements, preprint declarations, dual-submission rules, resubmission linking, and ARR desk-reject triggers on OpenReview.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Run this audit before uploading to an ACL Rolling Review (ARR) cycle on OpenReview. ACL papers are not submitted to the conference directly: they enter an ARR cycle, collect reviews and a meta-review, and are later committed to ACL. Reopen the current ARR CFP at aclrollingreview.org/cfp and the target conference's call before trusting any number below.
acl-workflow for the calendar.| Form item | What ARR checks | Failure mode |
|---|---|---|
| Responsible NLP checklist | Completed, consistent with the PDF | Misleading answers → desk reject |
| Resubmission link | Prior ARR submission ID + change summary | Unacknowledged resubmission → desk reject |
| Preprint declaration | Matches what is actually on arXiv | Broken "no preprint" pledge → desk reject |
| Dual submission | Not under review anywhere archival | Violation → reject at ARR or venue |
| AI assistance disclosure | Checklist item E answered honestly | Undisclosed generative-AI use → policy breach |
ARR is built for revise-and-resubmit across cycles. If this paper was reviewed in an earlier cycle:
[ARR readiness] Ready / Needs fixes / Not ready
[Cycle + venue plan] <ARR cycle -> intended commitment venue>
[Format gate] <length/Limitations/style-file findings>
[Anonymity + declarations] <checklist/preprint/resubmission/dual-submission findings>
[Desk-reject risks] <ranked list>
[Fix order] <what to change before the cycle deadline>
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Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.