System Description Paper
A paper documenting the methods, experiments, findings, and lessons learned from participation in ArGuard subtasks, with up to four pages of main content, following ACL formatting guidelines.
ArabicNLP 2026 Shared Task on ArGuard: Harmful Content Detection in Arabic Memes and LLM Prompts
ArGuard 2026 is a shared task at ArabicNLP 2026 focused on detecting harmful content in Arabic multimodal memes and LLM prompts. It features two tracks—multimodal hateful meme detection and textual harmful prompt detection—each with binary classification and fine-grained categorization subtasks, emphasizing Arabic-specific challenges like dialects, code-switching, sarcasm, and visual-textual interactions.

Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
A paper documenting the methods, experiments, findings, and lessons learned from participation in ArGuard subtasks, with up to four pages of main content, following ACL formatting guidelines.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026