VILLAIN at AVerImaTeC: Verifying Image-Text Claims via Multi-Agent Collaboration

• URL: http://arxiv.org/abs/2602.04587v1
• Date: Wed, 04 Feb 2026 14:12:55 GMT
• Title: VILLAIN at AVerImaTeC: Verifying Image-Text Claims via Multi-Agent Collaboration
• Authors: Jaeyoon Jung, Yejun Yoon, Seunghyun Yoon, Kunwoo Park,
• Abstract summary: VILLAIN is a multimodal fact-checking system that verifies image-text claims.<n>Our system ranked first on the leaderboard across all evaluation metrics.
• Score: 10.712719361607753
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: This paper describes VILLAIN, a multimodal fact-checking system that verifies image-text claims through prompt-based multi-agent collaboration. For the AVerImaTeC shared task, VILLAIN employs vision-language model agents across multiple stages of fact-checking. Textual and visual evidence is retrieved from the knowledge store enriched through additional web collection. To identify key information and address inconsistencies among evidence items, modality-specific and cross-modal agents generate analysis reports. In the subsequent stage, question-answer pairs are produced based on these reports. Finally, the Verdict Prediction agent produces the verification outcome based on the image-text claim and the generated question-answer pairs. Our system ranked first on the leaderboard across all evaluation metrics. The source code is publicly available at https://github.com/ssu-humane/VILLAIN.

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