πŸ€–Stalecollected in 12m

ACL ARR Jan 2026 Meta-Reviews

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πŸ€–Read original on Reddit r/MachineLearning

πŸ’‘Real ACL ARR scores guide submission decisions for 2026 cycle.

⚑ 30-Second TL;DR

What Changed

Scores received: 4.5 (conf 5), 3.5 (conf 3), 3 (conf 3)

Why It Matters

They await meta-reviews on March 10 to decide on committing to ACL 2026 main conference or findings track.

What To Do Next

Compare your ACL ARR scores to historical thresholds before committing.

Who should care:Researchers & Academics

Key Points

  • β€’Scores received: 4.5 (conf 5), 3.5 (conf 3), 3 (conf 3)
  • β€’Meta-reviews scheduled for March 10
  • β€’Debating commit to ACL 2026 main or findings

🧠 Deep Insight

Background and context from public sources β€” not the original article. 5 sources cited.

πŸ”‘ Enhanced Key Takeaways

  • β€’ACL ARR (Anthology Rolling Review) is a continuous review process for ACL submissions, allowing authors to submit anytime and commit reviews to conferences like ACL 2026 main or Findings track after meta-reviews.
  • β€’The scores (4.5 with confidence 5, 3.5 conf 3, 3 conf 3) reflect reviewer assessments on criteria like soundness and excitement; borderline scores like these often lead to debates on committing to main conference versus Findings.
  • β€’Meta-reviews for ACL ARR January 2026 cycle are scheduled for March 10, 2026, synthesizing reviewer scores to guide commitment decisions.
  • β€’ACL 2026 main conference is set for July 2-7, 2026 in San Diego, CA, with related events like Student Research Workshop (SRW) having ARR commitment deadline on April 15, 2026.
  • β€’Workshops like TrustNLP accept fast-track submissions from ACL ARR/EMNLP if average rating exceeds 2.75, providing alternatives for non-main track papers.

⏳ Timeline

2025-12-11
ACL 2026 SRW website launched.
2025-12-23
ACL 2026 SRW Call for Papers released.
2026-02-04
ACL 2026 SRW pre-submission mentorship application deadline.
2026-02-13
ACL 2026 SRW pre-submission mentorship deadline passed, 113 submissions received; SRW site last updated.

πŸ“Ž Sources (5)

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

  1. acl2026-srw.github.io
  2. trustnlpworkshop.github.io
  3. computer.org β€” Calls for Papers
  4. illc.uva.nl β€” Cls
  5. arXiv β€” Recent
πŸ“°

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Original source: Reddit r/MachineLearning β†—

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