ACL SRW, ICML Workshop or AACL?

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🤖Read original on Reddit r/MachineLearning

#publishing #venues #nlpacl-arracl icml aacl arr

💡Navigate ARR venue choices to avoid outdated ML papers (researcher dilemma)

⚡ 30-Second TL;DR

What Changed

ARR scores: OA 3, two 2.5s, meta-review 2.5 after revisions.

Why It Matters

Guides ML researchers on balancing publication speed, prestige, and relevance in fast-moving NLP/ML fields amid ARR process uncertainties.

What To Do Next

Check ARR guidelines for AACL eligibility using your March review set.

Who should care:Researchers & Academics

Key Points

•ARR scores: OA 3, two 2.5s, meta-review 2.5 after revisions.
•Options: ACL SRW/ICML workshops (soon) vs AACL (late August).
•Plan minor revisions like ablations without full resubmission.
•Risk: work outdated soon; workshops less prestigious.

🧠 Deep Insight

AI-generated analysis for this event — not the original article.

🔑 Enhanced Key Takeaways

•The ACL Rolling Review (ARR) system is designed to provide consistent, portable reviews across multiple venues, but scores below 3.0 (the threshold for 'borderline accept') often signal that reviewers find the contribution incremental or lacking sufficient empirical rigor.
•ACL Student Research Workshops (SRW) are specifically curated for early-career researchers and prioritize mentorship and feedback over the high-impact, competitive acceptance rates seen in main conference tracks.
•ICML workshops are non-archival by default, meaning they offer a venue for rapid dissemination of ideas without preventing future submission of the same work to archival conferences like AACL or main ACL tracks.

🔮 Future ImplicationsAI analysis grounded in cited sources

Submitting to a non-archival ICML workshop will not negatively impact future submission eligibility for AACL.

Most major NLP and ML conferences, including ACL and AACL, explicitly allow submissions that have been previously presented at non-archival workshops.

The current ARR scores of 2.5 will likely result in rejection if submitted to a main conference track without significant methodological improvements.

A meta-review score of 2.5 indicates that the paper currently fails to meet the standard of 'soundness' or 'contribution' required for acceptance in top-tier NLP venues.

⏳ Timeline

2021-05

ACL Rolling Review (ARR) officially launches to centralize the review process for ACL-affiliated conferences.

2023-01

ACL introduces stricter guidelines for ARR to manage the increasing volume of submissions and improve reviewer consistency.

🤖Read original article on Reddit r/MachineLearning

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