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acmmm-submission

Use when auditing an ACM MM (ACM Multimedia) submission for OpenReview readiness — thematic-area choice, the 6-8 page ACM sigconf budget, references-only overflow, double-blind anonymity versus the single-blind Reproducibility/Open-Source/Dataset tracks, supplementary media, dual submission, desk-reject triggers, and last-week sequencing.

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  • SKILL.md5.5 KB

SKILL.md(原文)

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ACM MM Submission

Use this to run a pre-deadline audit of an ACM Multimedia paper. Reopen the current Call for Technical Papers, the Topics of Interest page, each relevant track call, and the OpenReview group before giving deadline-ready advice — ACM MM rewrites these each edition.

Submission audit

  • Confirm the target is the ACM MM main conference (or a specific track), not a co-located workshop, ACM MM Asia, MMSys, or ICMR.
  • Choose the thematic area deliberately: it routes the paper to a reviewer pool, and a mismatched area is a quiet source of off-topic reviews.
  • Apply the current ACM sigconf template with no margin, font, or spacing edits. ACM MM 2026 used a 6–8 page body; references may spill onto up to two additional pages that contain only references.
  • Enforce double-blind anonymity across the paper, appendix, supplement, code, media assets, filenames, PDF metadata, and repository links — unless submitting to the named single-blind tracks (Reproducibility, Open Source Software, Dataset), where the artifact's identity is expected.
  • Register the abstract before the abstract deadline; the paper and the supplement have their own later deadlines (in 2026: abstract Mar 25, paper Apr 1, supplement Apr 8, AoE).
  • Check concurrent-submission rules and prior-publication status; do not keep the same work under review at another archival venue when ACM MM forbids it.

Blocking risks

  • Late abstract registration or paper upload.
  • Overlength body or a tampered sigconf template.
  • Identity leak in the PDF, media metadata, demo watermark, or repository link (on a double-blind track).
  • Wrong track blinding — anonymizing a Dataset/Open-Source submission, or de-anonymizing a main-track one.
  • Non-rendering or proprietary-format supplementary media.
  • Dual submission to another archival venue.

Desk-reject and triage table

TriggerSeverity at ACM MMRepair window
Overlength body (past 8 pages)Desk rejectNone after the deadline
Non-references content on the overflow pagesDesk reject or chair flagBefore the deadline only
Author identity in a double-blind PDF/mediaDesk rejectNone
Wrong thematic areaOff-topic reviews, not a desk rejectFixable before the paper deadline
Supplement that will not play for a reviewerLost evidenceFixable before the supplement deadline
Missing OpenReview coauthor profilesSubmission blockedBefore the deadline

Last-week sequence for a cross-modal paper

  1. Freeze the thematic-area choice and confirm the paper's claims match that area's scope.
  2. Re-render every figure and media clip from scripts so body, supplement, and PDF agree.
  3. Anonymize media: strip author names from filenames, EXIF/metadata, and any on-screen watermark, and route dataset/demo links through an anonymous mirror.
  4. Confirm the OpenReview abstract matches the PDF abstract word for word.
  5. Verify the body fits 8 pages with the overflow pages holding references only.

OpenReview mechanics that trip people up

ACM MM runs on OpenReview, but the failure modes are administrative, not intellectual:

  • Every coauthor needs a complete OpenReview profile with a real institutional history, or the submission is blocked or the conflict graph is wrong.
  • The abstract is registered before the paper — a separate, earlier deadline. Missing it forecloses the paper deadline entirely.
  • Declare conflicts honestly; an undeclared conflict discovered later can sink a paper.
  • The thematic area is set at submission and is hard to change afterward; it selects your reviewers, so treat it as a first-class decision, not a dropdown afterthought.

Track and blinding double-check

The most ACM MM-specific desk-reject cause is submitting to the wrong track's blinding regime.

If you are submitting to...BlindingSo the PDF must...
Main track / Brave New IdeasDouble-blindHide all author identity, in text, media, and links
Reproducibility trackSingle-blindName the artifact and its authors as expected
Open Source Software CompetitionSingle-blindPresent the real project and repository
Dataset trackSingle-blindIdentify the dataset and its providers

Anonymizing a single-blind submission (or de-anonymizing a double-blind one) both signal that the authors did not read the track call — fix it before upload, not after.

Format anchors

  • ACM MM's two-column sigconf layout compresses hard: wide multimodal figures, algorithm blocks, and qualitative media grids overflow the 8-page body, so budget page space as a design decision early, not on deadline night.
  • The page counts, deadlines, and track blinding cited here describe the 2026 cycle; treat every number as provisional and recheck the current CFP and track calls before relying on it.

Output format

[ACM MM readiness] Ready / Needs fixes / Not ready
[Track + thematic area] <main/BNI/dataset/... + area>
[Blocking checks] <OpenReview/page/anonymity/media/dual-submission>
[Cross-modal evidence risk] <one issue>
[Desk-reject risk] <one issue>
[Fix order] <ordered fixes before submission>

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同一仓库的技能

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。

brycewang-stanford/Awesome-Journal-Skills13022026年9月27日 更新

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。

brycewang-stanford/Awesome-Journal-Skills13022026年9月27日 更新

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。

brycewang-stanford/Awesome-Journal-Skills13022026年9月27日 更新

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。

brycewang-stanford/Awesome-Journal-Skills13022026年9月27日 更新

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。

brycewang-stanford/Awesome-Journal-Skills13022026年9月27日 更新

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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brycewang-stanford/Awesome-Journal-Skills13022026年9月27日 更新

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