Skills

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
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 typeThe contrast reviewers want spelled out
MethodNearest prior method + the mechanism-level difference, not just scores
ResourceExisting datasets' coverage gaps: languages, domains, phenomena, license
Analysis / evaluationWhat prior evaluations measured incorrectly or could not see
MetricFailure cases of the incumbent metric, with correlation evidence
Theme-track paperHow the work answers the year's theme question (ACL 2026: explainability)
Read the whole SKILL.md on GitHub

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