The Automatic Verification of Image-Text Claims (AVerImaTeC) Shared Task
Abstract
The Automatic Verification of Image-Text Claims (AVerImaTeC) shared task aims to advance system development for retrieving evidence and verifying real-world image-text claims. Participants were allowed to either employ external knowledge sources, such as web search engines, or leverage the curated knowledge store provided by the organizers. System performance was evaluated using the AVerImaTeC score, defined as a conditional verdict accuracy in which a verdict is considered correct only when the associated evidence score exceeds a predefined threshold. The shared task attracted 14 submissions during the development phase and 6 submissions during the testing phase. All participating systems in the testing phase outperformed the baseline provided. The winning team, HUMANE, achieved an AVerImaTeC score of 0.5455. This paper provides a detailed description of the shared task, presents the complete evaluation results, and discusses key insights and lessons learned.
Cite
@article{arxiv.2602.11221,
title = {The Automatic Verification of Image-Text Claims (AVerImaTeC) Shared Task},
author = {Rui Cao and Zhenyun Deng and Yulong Chen and Michael Schlichtkrull and Andreas Vlachos},
journal= {arXiv preprint arXiv:2602.11221},
year = {2026}
}
Comments
Shared Task Overview and Summary for the Ninth FEVER Workshop, Co-located at EACL 2026