[Paper] Findings of the MAGMaR 2026 Shared Task

Source: arXiv - 2606.12295v1

Overview

This overview paper presents the results of the shared task for the second workshop on Multimodal Augmented Generation via Multimodal Retrieval (MAGMaR). In this shared task participants submitted systems focused on either (i) video retrieval or (ii) grounded generation of articles given retrieved videos. Teams could submit to either task. For the retrieval task, we had 2 participating teams that submitted a total of 17 systems — all of which beat a baseline derived from the winner of last year’s shared task. On the generation side, we had 4 teams submit 16 systems. All teams had at least one generated report that was labeled the best by a human annotator.

Key Contributions

This paper presents research in the following areas:

• cs.CV
• cs.CL
• cs.IR

Methodology

Please refer to the full paper for detailed methodology.

Practical Implications

This research contributes to the advancement of cs.CV.

Authors

• Alexander Martin
• Dengjia Zhang
• Joel Brogan
• Francis Ferraro
• Jeremy Gwinnup
• Reno Kriz
• Teng Long
• Kenton Murray
• Andrew Yates
• Xiang Xiang

Paper Information

• arXiv ID: 2606.12295v1
• Categories: cs.CV, cs.CL, cs.IR
• Published: June 10, 2026
• PDF: Download PDF