๐คReddit r/MachineLearningโขStalecollected in 12m
ACL ARR Jan 2026 Meta-Reviews
๐กReal ACL ARR scores guide submission decisions for 2026 cycle.
โก 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
๐ง Deep Insight
Web-grounded analysis with 5 cited sources.
๐ Enhanced Key Takeaways
- โขACL 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.
- โขThe 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.
- โขMeta-reviews for ACL ARR January 2026 cycle are scheduled for March 10, 2026, synthesizing reviewer scores to guide commitment decisions.
- โขACL 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.
- โขWorkshops like TrustNLP accept fast-track submissions from ACL ARR/EMNLP if average rating exceeds 2.75, providing alternatives for non-main track papers.
โณ 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.
๐ Sources (5)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
๐ฐ
Weekly AI Recap
Read this week's curated digest of top AI events โ
๐Related Updates
AI-curated news aggregator. All content rights belong to original publishers.
Original source: Reddit r/MachineLearning โ