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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
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>
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。