EMNLP 2026 Paper Integrity Policy

EMNLP 2026, together with ARR, are taking actions against growing concerns of irresponsible AI use in paper submissions that take up valuable reviewer/AC resources and make little contributions to the field.

Please refer to ACL’s guidelines on Generative Assistance in Authorship. In addition, two new policies are in place:

Thinly Sliced Contributions

Please note the new ARR originality requirement and overlap with other work by the same authors (also can be found in the ARR Call for Papers):

“All submitted papers are expected to describe original, completed and unpublished work. See the publication ethics guidelines on re-use of text from other publications (no more than 10% total tokens). There can be no overlap in stated contributions. ARR now follows ICML in discouraging thinly sliced contributions as follows: any concurrently submitted papers on a related topic with an overlapping set of authors must cite each other and discuss the differences in the related work section. Anonymized versions of such papers should be uploaded as supplementary material. Recommended citation format in the bibliography:

Anonymous (2026). Paper title. Under review.

Papers violating the above originality requirements may be desk rejected.”

In addition, all authors involved may be ineligible to commit their paper(s) to EMNLP 2026 and EMNLP 2027.

Unverifiable References

EMNLP 2026 has partnered with GPTZero to detect references that do not exist in academic databases in all submitted papers. Please refer to GPTZero’s technical report regarding the system.

For each submitted paper, GPTZero reference classification will be applied to all entries in the bibliography. Flagged entries will be further examined and verified by the senior program committee (AC/SAC/PC chairs) of the submission. Papers with any unverifiable reference may be desk rejected, and all authors involved in the submission may be ineligible to commit their paper(s) to EMNLP 2026 and EMNLP 2027.