# Acl Related Work

Use when positioning an ACL submission against the NLP literature, covering ACL...

- Repository: https://github.com/brycewang-stanford/Awesome-Journal-Skills (1346 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-09-27
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-related-work -g -a claude-code -y`
Codex: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-related-work -g -a codex -y`
Cursor: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-related-work -g -a cursor -y`
Gemini CLI: `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-related-work -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add brycewang-stanford/Awesome-Journal-Skills`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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) |

The rest: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/ACL-Skills/skills/acl-related-work/SKILL.md