Frequently Asked Questions

Anyone can participate, either independently or as part of a team.

Participation in the shared task is free. At least one team member should register for the conference if the paper is accepted and presented.

Sign up on the relevant Codabench competition and get the data from the Hugging Face dataset. Join our Slack channel for announcements, deadlines, and task-specific updates.

Yes. Teams may participate in Task 1, Task 2, or both.

This depends on the task policy. If this is relevant to your team, contact the organizers before submitting runs.

For Task 1, any model and any pipeline are welcome, cascaded or end to end, and both open and closed models are allowed (we especially encourage open models for reproducibility and low-resource settings). Please take part in good faith: run each track in its own language from end to end rather than reusing another track’s predictions. See the Task 1 page for the full participation notes.

The evaluation period is the official competition window. Organizers release evaluation data at the beginning of this period, and system outputs are due before the deadline.

Submission limits are task-specific. Check the task page and platform instructions for the final limits.

Task datasets are distributed by the task organizers. Check the task pages and official announcements for release details.

Yes. Teams that participate and request task data are expected to submit a system description paper.

Requesting the data commits the team to submitting a paper. Abandoning the task after receiving data may affect future participation.

System papers should follow the ArabicNLP 2026 short-paper format. Papers must use the official EMNLP/ACL LaTeX or Word templates and may be up to 4 pages, excluding unlimited references. Templates are available from acl-org/acl-style-files.

Use this format:

<Team Name> at <Task Name>: <Your Contribution>

Example:

Scholarly at ImageEval Shared Task: LLMs for Arabic Visual Question Answering

Yes. Each team is required to cite the shared task overview paper in its system paper.

Submissions that exceed length requirements may be desk rejected.

No. Shared task papers, including system papers and overview papers, are not anonymous.

Yes. Participants and organizers are required to create an OpenReview account.

Yes. Shared task teams are expected to serve as reviewers, and reviews will be checked by a member of the organizing team.

Yes. Accepted papers must be presented at the conference, either in person or virtually. Papers without at least one presenting author registered by the required deadline may be rejected.

Yes. Authors may submit papers to arXiv at any time. Since shared task papers are not anonymous, this does not interfere with the review process.

No additions, revisions, or name changes are allowed after the review period for the camera-ready version unless explicitly permitted by the organizers.

Discuss ethical considerations, including potential misuse, clearly in the system paper.

Code and data release is highly encouraged. Include the URL in the system paper when possible to support reproducibility.

• For task-specific questions, consult the task page and contact the task organizers.
• For workshop logistics, contact the shared task organizers.
• For OpenReview technical issues, contact OpenReview support.