Acl Camera Ready
Use when preparing an accepted ACL main-conference or Findings paper for camera-ready...
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-camera-ready -g -a claude-code -y- Repository
- brycewang-stanford/Awesome-Journal-Skills1.3k
- Category
- Documents
- Updated
- 1mo ago
- License
- MIT
- Context cost
- Lightabout 1,496 tokens
- Runs scripts
- No, instructions only
What it does
Use when preparing an accepted ACL main-conference or Findings paper for camera-ready, covering the extra content page, de-anonymization and acknowledgements, AI-assistance disclosure, keeping the Limitations section, ACL Anthology metadata and CC BY 4.0 publication, meta-review-driven edits, and presentation-mode logistics.
ACL Camera Ready
Use this after ACL (or Findings of ACL) acceptance. Camera-ready quality controls how the paper looks forever in the ACL Anthology, which is the permanent open-access record. For ACL 2026 the camera-ready deadline was April 19, 2026, confirm the current edition's date in the acceptance email before planning anything.
The extra page and what it is for
- Accepted *ACL papers traditionally receive one additional content page: long papers up to 9 pages, short papers up to 5. The page exists to address reviewer and meta-review comments, not to smuggle in a new contribution.
- Spend it in priority order: fixes the meta-review asked for, clarifications reviewers requested, then de-anonymization overhead (author block, acknowledgements) which consumes real space.
- References remain unlimited; the Limitations section remains mandatory in the camera-ready and still sits outside the page count.
De-anonymization pass
- Restore authors, affiliations, and acknowledgements; convert third-person self-citations ("Smith showed") back to natural first person where clearer.
- Replace anonymous supplement links with the permanent public repository, dataset page, or model card; test every URL logged out.
- Add the funding and AI-assistance acknowledgements: ACL policy requires generative-AI use beyond polishing to be disclosed, with details in the Acknowledgements matching your Responsible NLP checklist answers.
