ACL Rolling Review (ARR) is a centralized reviewing service targeting top-tier conferences under the Association for Computational Linguistics.

  • Built atop the OpenReview platform, ARR implements the initial stages of conference reviewing in 2 month cycles, culminating in the release to authors of reviews and a metareview.
  • Authors may submit a revision to a subsequent ARR cycle and request the same or new reviewers.
  • Reviews are decoupled from acceptance decisions: as long as a paper has reviews and has not yet been accepted by a venue, the authors can choose among participating venues, whose program committees will consider the already-reviewed papers for acceptance.

For further information about submitting, see the page for Authors.

ARR began with a 2020 proposal. As of mid-2023, it has evolved with experience and feedback from the community. In 2024, the ACL, EACL, and NAACL main conferences will use ARR as the sole submission system. Other venues may adopt ARR as well. The ARR team continues to welcome input on the design of the review process.

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ACL Rolling Review is inviting nominations for several Editors in Chief positions

The ACL Rolling Review (ARR) initiative is seeking nominations (self-nominations are permitted and encouraged), for several co-Editors-in-Chief (henceforth “EiCs”, with the “co-” understood) positions, serving a 2.5-year term1. Successful candidates should be able to start at the end of summer or as early as possible.

  1. The last 6 months are not considered as full on EiCs but more of a transitions period to support training of new EiCs. 

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Anna Rogers joins the ARR as a new Editor-in-Chief!

Anna Rogers is an Associate Professor in the Computer Science Department at the IT University of Copenhagen. Her main research area is Natural Language Processing, in particular analysis and evaluation of pre-trained language models. She is a veteran program chair of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), the lead author of the current ARR guidelines for reviewers, and contributor to the Responsible NLP Checklist.

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