# acl-org/acl-style-files

Official style files for papers submitted to venues of the Association for Computational Linguistics

Repository: https://github.com/acl-org/acl-style-files
Canonical: https://ross.abutalabs.com/products/acl-style-files
Language: BibTeX Style
License Family: other
Last push: 2026-06-29T15:47:54+00:00

## Health v2 (maintenance only)
Score: 73/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 90, release rhythm 35, longevity 100
- inputs: {"age_days": 1721, "days_push": 65, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1955, forks 376 (observed 2026-08-28T04:05:58.988183+00:00)

## What it is
Official LaTeX and BibTeX style files for papers submitted to Association for Computational Linguistics (*ACL) conferences. It provides templates compatible with pdfLaTeX, XeLaTeX, and LuaLaTeX, plus an Overleaf template.

## Use cases
- format a paper for ACL submission
- get the official ACL LaTeX template
- write an NLP conference paper in LaTeX
- prepare an anonymized submission for ACL Rolling Review
- adapt ACL style files for a related workshop
- use the ACL template in Overleaf

## When to choose
- you are submitting a paper to an ACL venue and must follow its formatting rules
- you are a publications chair adapting the style for an *ACL conference

## When to avoid
- you need a general-purpose LaTeX template not tied to ACL formatting
- your target venue requires a different conference's style files
- you want to modify the styles as a regular author (not permitted)

## Facets
- artifact type: library
- maturity: active
- function: templating, documentation
- domain: documentation
- platform: cross-platform
- tags: latex, bibtex-style, acl, conference-papers, academic-writing, overleaf, natural-language-processing, academic-publishing

## Member repositories
- acl-org/acl-style-files (main) score 73

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:58.988183+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:06:26.192314+00:00, confidence not recorded.
  - readme: https://github.com/acl-org/acl-style-files (fetched 2026-08-28T04:05:58.988183+00:00, sha f5e4fe5096e8)
- Data as of 2026-08-30T08:39:29.467469+00:00.