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.
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Use when reasoning about how an ACL paper travels through ACL Rolling Review and conference commitment, covering reviewer and area-chair roles, meta-reviews, the commitment decision by senior area chairs and program chairs, Findings versus main-conference outcomes, ethics review escalation, and resubmission strategy across cycles.
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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。
Use this to model where an ACL paper actually is and who decides what next. ACL decoupled reviewing from the conference: ARR produces the review package; the conference consumes it. Confirm current mechanics at aclrollingreview.org/reviewing, since cycle structure has changed repeatedly (most recently to 10-week cycles in 2025).
acl-author-response).| Actor | Controls | Cannot do |
|---|---|---|
| Reviewer | Review text, scores, discussion updates | Accept or reject anything |
| AC / action editor | Meta-review, review-issue handling | Bind the conference's decision |
| Author | Response, revision, where/whether to commit | Change reviews after the cycle closes |
| Venue SACs + PCs | Main/Findings/reject from the ARR package | Re-run the reviewing itself |
| Ethics committee | Ethics-based conditions or rejection | Judge technical contribution |
The same review package can be committed to exactly one venue at a time, but a rejected or withheld package can target a later conference (EMNLP, EACL, NAACL, AACL) whose commitment window accepts that cycle. Sequence deliberately: each conference publishes which ARR cycles it accepts, and reviews age — a package built on a two-cycle-old baseline set gets punished at commitment.
week 0 submission deadline (AoE)
weeks 1-2 desk checks; reviewer + AC assignment
weeks 3-5 reviewing
week 5 reviews released -> author response (a few days)
week 6 reviewer discussion; reviews may be updated
weeks 7-8 meta-review written
~week 10 package complete -> commitment window for eligible venues
Offsets drift by cycle; the January 2026 cycle ran Jan 5 → reviews by early March → ACL 2026 commitment March 14. Always re-derive from the current dates page.
[Stage] cycle-intake / under review / response / meta-review / commit-window / venue decision / ethics review
[Package strength] <meta-review thrust + score pattern>
[Commit recommendation] commit to ACL / hold for revision / target sibling venue
[Ethics exposure] <flag risk and mitigation>
[Next actor to influence] <reviewer via discussion / AC via response / venue via commitment note>
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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.
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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.
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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.
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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.
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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.
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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.
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