SUBMISSION SERVER
Paper submission deadline: October 12, 2026, 11:59 p.m. AoE.
Authors can submit their papers electronically on OpenReview via the submission page.
Important note about OpenReview:
- New profiles created without an institutional email will go through a moderation process that can take up to two weeks.
- New profiles created with an institutional email will be activated automatically.
FORMATTING
There is no page limit for submissions, and submissions should include all proofs and technical details necessary to understand the results. However, content (not including references) beyond the first 12 pages may not be read by reviewers. Therefore the first 12 pages should contain a clear presentation of the paper’s main contributions and outlines of the main arguments.
Submissions should follow the JMLR formatting instructions. The ALT 2027 submission template will be posted before submissions open.
DUAL SUBMISSION POLICY
Submissions that are substantially similar to papers that have been previously published, accepted for publication, or submitted in parallel to other peer-reviewed conferences with proceedings may not be submitted to ALT. Submissions that are substantially similar to papers that are already published in a journal at the time of submission may not be submitted to ALT.
PUBLICATION
All accepted papers will be published as a volume in the Proceedings of Machine Learning Research series. After acceptance, the authors of each accepted paper may select whether to publish the full paper or a one-page extended abstract which will point to an open access archival version of the full paper. The proceedings will be available online during the conference.
REVIEW
Each submitted paper will be reviewed by members of the program committee and judged on clarity, significance, and originality. The reviewing process is not fully double-blind because the authors’ names will be known to the senior program committee member overseeing the paper’s review. Authors should not list their names or affiliations in their submissions, so reviewers will not see them. Authors should also omit immediately identifying information, such as acknowledgments and grant support, and refer to their own prior work in the third person. For example, instead of writing “In our previous work [1],” write “In the previous work of Smith et al. [1].”
Submission and reviewing will be on OpenReview, although all submissions, reviews, and discussion will remain private throughout the review process. For accepted papers, reviews and author responses will be made public (for papers not accepted, everything remains private).
POLICY ON GENERATIVE AI
Authors may use generative AI tools in preparing their submissions, but they remain fully responsible for all submitted content, including its correctness, originality, attribution, and citations. Generative AI tools may not be listed as authors.
Any substantive use of generative AI must be disclosed in a clearly labeled section titled Use of Generative AI. The disclosure should identify the tool and briefly explain how it was used. Examples of substantive use include generating or materially revising text, mathematical arguments, experiments, or figures. Routine assistance with spelling, grammar, or formatting does not need to be disclosed. The disclosure must not identify the authors.
DECLARATION OF COIs
Conflicts of interest should be included on your OpenReview profile. What constitutes a conflict of interest is listed on the ALT Code of Conduct page. If a conflict is sensitive, you may mark it as hidden on your OpenReview profile by changing its visibility from “everyone” to the ALT 2027 Program Chairs. This option may become visible only after registering a submission to ALT 2027.
If you have questions about specific circumstances, please contact the program chairs.