
Acl Related Work
Use when positioning an ACL submission against the NLP literature, covering ACL...
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-related-work -g -a claude-code -y- Repository
- brycewang-stanford/Awesome-Journal-Skills1.3k
- Category
- AI and agents
- Updated
- 1mo ago
- License
- MIT
- Context cost
- Lightabout 1,396 tokens
- Runs scripts
- No, instructions only
What it does
Use when positioning an ACL submission against the NLP literature, covering ACL Anthology citation practice, arXiv-versus-published version citation, concurrent LLM-era preprints, prior-cycle ARR resubmission overlap, anonymity-preserving self-citation, and the fast-moving baseline problem in computational linguistics.
ACL Related Work
Use this to audit positioning and citation hygiene. NLP moves fast enough that related-work sections age between ARR cycles; the section must prove the authors know the field as of this cycle, not as of the project's start.
The Anthology-first rule
- When a paper exists in the ACL Anthology (or another archival venue), cite that version, not its arXiv preprint, Anthology entries are the community's citation of record and carry stable BibTeX.
- The Anthology is fully open access (post-2016 materials under CC BY 4.0), so "couldn't access the published version" is never a defense here.
- For findings-tier work, cite it as Findings of ACL/EMNLP, it is archival and reviewers treat miscrediting it as sloppiness.
Freshness pressure unique to this field
- Expect at least one reviewer to name a baseline or dataset from the last two conference rounds. Sweep ACL, EMNLP, NAACL, EACL, TACL, and CL for the nearest neighbors published since your project began.
- LLM-era concurrency is the norm: assume 2-4 similar preprints exist. Cite the ones findable at submission, contrast on technique rather than date, and avoid priority wars that reviewers cannot adjudicate.
- If a newer model release makes your comparison set look dated mid-cycle, address it in the author response and plan the upgrade for camera-ready or resubmission, silence reads as unawareness.
Positioning moves that work at ACL
| Contribution type | The contrast reviewers want spelled out |
|---|---|
| Method | Nearest prior method + the mechanism-level difference, not just scores |
| Resource | Existing datasets' coverage gaps: languages, domains, phenomena, license |
| Analysis / evaluation | What prior evaluations measured incorrectly or could not see |
| Metric | Failure cases of the incumbent metric, with correlation evidence |
| Theme-track paper | How the work answers the year's theme question (ACL 2026: explainability) |

