Skip to content
Content
Skill

/acmmm-review-process

Use when reasoning about the ACM MM (ACM Multimedia) review pipeline — thematic-area routing to reviewers and area chairs, the OpenReview double-blind process and its single-blind track exceptions, the optional anonymous rebuttal, the meta-review and decision, and the

From plugin
awesome-journal-skills
1.4k200 skills

Claude Code

$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-review-process --agent claude-code

SKILL.md

acmmm-review-process.SKILL.md
name: acmmm-review-process
description: Use when reasoning about the ACM MM (ACM Multimedia) review pipeline — thematic-area routing to reviewers and area chairs, the OpenReview double-blind process and its single-blind track exceptions, the optional anonymous rebuttal, the meta-review and decision, and the oral/poster and award tiers, and where an author actually has leverage.

ACM MM Review Process

Use this to build an accurate mental model of how an ACM Multimedia paper is judged, so strategy targets the points where an author can move the outcome and not the points where they cannot.

The pipeline

1. **Submission + thematic area.** The paper enters OpenReview under a chosen thematic area, which routes it to a matching reviewer pool and area chair. 2. **Assignment.** Reviewers and an AC are assigned; a mismatched thematic area is where papers get reviewers who cannot judge the contribution. 3. **Reviews.** Reviewers assess novelty, cross-modal soundness, evidence (including user studies where relevant), and reproducibility. 4. **Rebuttal.** An **optional, anonymous** author response addresses reviews; new external links are not allowed. 5. **Discussion + meta-review.** Reviewers and the AC discuss; the AC writes a meta-review and recommendation. 6. **Decision + tiers.** Accept/reject, with accepted papers sorted into presentation tiers (oral vs. poster) and award consideration.

Where leverage exists

| Stage | Author leverage | Reality | |---|---|---| | Thematic-area choice | High | You pick who reviews you — choose the area that can judge the contribution | | Submission quality | High | The paper is the main lever; the rebuttal only patches | | Rebuttal | Medium | Fix factual errors and add small confirmatory results; rarely flips a strong reject | | Discussion | Low/indirect | You cannot see it; a clean rebuttal gives the AC ammunition | | Decision/tiers | None directly | Set by AC/PC after discussion |

Reading a review set

  • Separate **factual errors** (a reviewer misread a result) from **judgment** (they find the

delta small); the first is fixable in rebuttal, the second usually is not.

  • Weight the **cross-modal** critiques: "the fusion is not shown to matter" is often the

decisive line, and an ablation is the answer.

  • Note the **AC's** implicit questions in the meta-review; that is who the rebuttal is really

written for.

Double-blind and its exceptions

The main track and Brave New Ideas are **double-blind**; the Reproducibility, Open Source Software, and Dataset tracks are **single-blind** because the artifact carries its identity. Confidentiality runs both ways: reviewers must not deanonymize authors, and authors must not try to identify or contact reviewers.

What the rebuttal cannot do

CAN:   correct misreadings, add a promised small experiment/ablation, clarify scope, concede narrowly
CANNOT: add new external links, change the contribution, add pages, argue the reviewer is unqualified

Reading scores and the meta-review

  • A spread of scores (one champion, one detractor) is normal; the **rebuttal targets the

detractor's concrete objection** and gives the champion and AC something to cite.

  • A uniform lukewarm set is harder than a split — there is no champion to convert, so the

rebuttal must move a shared concern, usually the cross-modal-significance one.

  • Weight the **AC's meta-review** most: it is the synthesis the decision rests on, and its

implicit questions are what your response should answer.

The dates that constrain strategy

The pipeline has a long middle: reviews and rebuttal cluster in late spring, and the decision lands in early July (2026: rebuttal around June 4, notification early July). The strategic consequence is that the **confirmatory experiments a reviewer will ask for should be ready before reviews arrive** — the rebuttal window is too short to start a new user study or a large ablation from scratch.

Confidentiality and conduct

  • Treat all reviews and discussion as confidential.
  • Do not attempt to deanonymize reviewers or lobby ACs outside the system.
  • Report suspected violations through the official channel, not by public posting.

Output format

[Area routing] well-matched / mismatched (off-topic review risk)
[Review split] factual-fixable: <list> | judgment: <list>
[Decisive critique] <usually the cross-modal/evidence line>
[Rebuttal leverage] high / medium / low
[Next action] <what to fix vs. what to accept>
Read more
@brycewang-stanford
Ships withawesome-journal-skills

Stanford REAP × CoPaper.AI · 由斯坦福实证方法论团队精选与维护 访问 copaper.ai 微信:CoPaper.AI 按 11 个主流学科板块覆盖 经管与商科 社会科学 人文学科 数学与物理科学 生命科学 医学与健康 工程与技术 计算机科学与 AI 体育科学 点击任一学科名可跳转到对应说明;每类下的代表子领域在正文总览中完整列出。下方封面墙按 venue 导航,完整分类见覆盖一览。 🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🧪 自动实证

1.4k200 skills
Get the whole plugin

Stars on GitHub

Momentum

stars in total
1.4k
Star history of brycewang-stanford/Awesome-Journal-Skills on GitHub, a chart by star-history.com

Other skills on awesome-journal-skills.

More skills from other plugins.

prompt-lookup

prompt-lookup

Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use…

@gh-f@gh-fInstall Skill
ppt-master

ppt-master

AI-driven presentation workflow for generating editable PPTX decks and slides, reconstructing page visuals, creating reusable…

@hugohe3@hugohe3Install Skill
morph-ppt

morph-ppt

Use this skill when the user wants a .pptx with smooth cross-slide animation — PowerPoint Morph transitions, Keynote-style…

officecli13d33k
@iofficeai@iofficeaiInstall Skill

Questions about acmmm-review-process.

Which coding agents can use acmmm-review-process?
acmmm-review-process installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.