acl-related-work
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 comput…
Install / Use
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-related-workInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
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AI & Machine LearningSupported Platforms
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Our assessment of acl-related-work
acl-related-work scores 87/100 on our quality scale, 455th of 965 AI & Machine Learning skills we index (top 48%).
Its SKILL.md is 5.8 KB long, well organised into 11 sections with 2 code examples: a solid amount of guidance for an agent.
With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 18 days ago, so acl-related-work is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
acl-related-work compared with similar skills
All 4 of these similar skills score higher than acl-related-work; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| acl-related-work (this skill)by brycewang-stanford | 87 | 1.2k | 18d ago | SKILL.md |
| claude-memby thedotmack | 100 | 95.2k | today | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 85.1k | 1d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.3k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
Frequently asked questions
- How do I install acl-related-work?
- Run
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acl-related-work. The install tabs above show the steps for each supported agent. - Which AI agents does acl-related-work work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is acl-related-work safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is acl-related-work still maintained?
- The repository was last updated 18 days ago, so acl-related-work is actively maintained.
Skill content
View source on GitHubname: acl-related-work 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.
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) |
One paragraph of typed contrast per lane beats an undifferentiated citation inventory; ACL's compressed format cannot afford taxonomy for its own sake.
Self-citation and resubmission overlap
- Cite your own prior work in third person ("Building on Smith (2024)...") so anonymity survives; heavy reliance on one group's unpublished thread is itself an anonymity leak.
- If this is an ARR resubmission, the revision note — not the related-work section — is where you discuss the previous version; the paper itself should read cleanly to a fresh reviewer.
- Workshop and non-archival versions (most *ACL workshops are archival — check!) must be declared under the dual-submission policy rather than quietly extended.
Preprint-era eligibility judgment calls
- Your own arXiv preprint of this submission is allowed (no anonymity period since January 2024), but the declared preprint status must match reality.
- A competing preprint that appeared after your ARR submission date is concurrent work: cite it in camera-ready, note the timing, contrast honestly.
- Do not cite an inaccessible or anonymized document as supporting evidence — ARR forbids leaning on materials reviewers cannot read.
Two-pass audit procedure
Pass 1 (coverage): for each claim of novelty, list the 3 nearest works
from Anthology search + recent cycles; verify each is cited and
contrasted, not just listed.
Pass 2 (hygiene): for each bib entry, check venue-of-record vs arXiv,
Findings attribution, third-person self-citation, and that no cited
item is reviewer-inaccessible.
Where to actually search, in order
- ACL Anthology full-text/venue search — the canonical record for every *ACL main conference, Findings volume, TACL, CL, and most workshops.
- The most recent two conference rounds' accepted-paper lists (each edition's site publishes them) — the freshness sweep reviewers run.
- Semantic Scholar / Google Scholar citation graphs walked forward from your three nearest neighbors — who already built on them?
- arXiv cs.CL for the concurrent-preprint scan, dated against your cycle's submission deadline so "concurrent" is defensible.
- Leaderboards and dataset pages for your benchmarks — the SOTA row often names an uncited system.
Related-work paragraph shape that survives compression
For each literature lane, three sentences: (1) what the lane established, with its two or three best citations; (2) the specific gap or assumption it left; (3) how this paper differs mechanically. Delete any sentence that neither cites nor contrasts. In a short paper, the whole section may be one such paragraph plus contrasts woven into the introduction — that is normal and reviewers at ACL expect it.
Red flags reviewers name explicitly
- "The authors seem unaware of X" — the fatal version of staleness; one missed obvious neighbor outweighs fifty dutiful citations.
- Citing a paper for a claim it does not make (checked more often than authors expect, since reviewers know their own subfield's papers).
- A wall of "recently, LLMs have..." citations with no load-bearing role.
- Comparing against numbers from a cited paper's arXiv v1 that changed in the published version.
Output format
[Positioning verdict] sharp / inventory-like / stale / overlapping
[Nearest neighbors] <3 works -> stated distinction each>
[Freshness risks] <recent baselines or datasets unaddressed>
[Citation hygiene] <arXiv-vs-Anthology, Findings credit, self-citation voice>
[Overlap declarations] <resubmission / workshop / preprint items to declare>
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From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
