[D] ACL ARR 2026 Jan. author-editor confidential comment is positive-neutral. Whats this mean?

A research team has sparked discussion in the AI academic community after sharing their experience with the ACL ARR 2026 review process. The authors submitted a manuscript that received mixed review scores (4, 2.5, and 2), with lower-scoring reviewers requesting additional statistical tests. The team conducted these analyses and presented them in their rebuttal, but when reviewers failed to acknowledge this new evidence, they escalated the matter through a formal Review Issue Report.

The Area Chairs responded with notably brief comments: 'Thanks for the clarifications, they are convincing' for the 2.5 review, and 'Many thanks for the clarifications' for the 2 review. This has led to widespread speculation about whether these responses indicate acceptance, rejection, or something in between. The ambiguity highlights ongoing concerns about transparency in peer review, particularly in high-stakes AI conferences where publication decisions can significantly impact careers and research directions.

The incident reveals the tension between formal review procedures and human communication in academic publishing. While the Area Chairs' comments might be interpreted as positive signals that the concerns were addressed, their brevity and lack of explicit endorsement leave authors in limbo. This case underscores why many researchers advocate for clearer communication standards in peer review, especially as conference submissions continue to grow exponentially.