Submission guidelines

SUM 2024 solicits papers in the following three categories:

• Long papers: technical papers reporting original research or survey papers
• Short papers: papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends
• Extended abstracts of recently published work in a relevant journal or top-tier conference

Accepted long and short papers will be published by Springer in the Lecture Notes in Artificial Intelligence series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet).

Regular research papers should be at most 14 pages (including references, figures, and tables). Short papers should be between 4 and 7 pages. Extended abstracts should be at most 2 pages and should reference the originally published work.

Submissions must be formatted according to Springer’s guidelines for LNCS authors, which can be found at http://www.springer.de/comp/lncs/authors.html. Each paper is to be submitted electronically as a single PDF file through EasyChair. Papers not respecting the formatting instructions or page limits may be rejected without review.

Except for extended abstracts, submissions must be unpublished and must not be under submission elsewhere. All submitted papers will be reviewed by the Program Committee on the basis of technical quality, relevance, significance, and clarity.