Findings of the MAGMaR 2026 Shared Task

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

Findings of the MAGMaR 2026 Shared Task

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

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Abstract

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 years 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.

Anthology ID:: 2026.magmar-main.16
Volume:: Proceedings of the 2nd Workshop on Multimodal Augmented Generation via Multimodal Retrieval (MAGMaR 2026)
Month:: July
Year:: 2026
Address:: San Diego, USA
Editors:: Kenton Murray, Reno Kriz
Venues:: MAGMaR | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 144–150
Language:
URL:: https://aclanthology.org/2026.magmar-main.16/
DOI:
Bibkey:
Cite (ACL):: Alexander Martin, Dengjia Zhang, Joel Brogan, Francis Ferraro, Jeremy Gwinnup, Reno Kriz, Teng Long, Kenton Murray, Andrew Yates, and Xiang Xiang. 2026. Findings of the MAGMaR 2026 Shared Task. In Proceedings of the 2nd Workshop on Multimodal Augmented Generation via Multimodal Retrieval (MAGMaR 2026), pages 144–150, San Diego, USA. Association for Computational Linguistics.
Cite (Informal):: Findings of the MAGMaR 2026 Shared Task (Martin et al., MAGMaR 2026)
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PDF:: https://aclanthology.org/2026.magmar-main.16.pdf

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@inproceedings{martin-etal-2026-findings,
    title = "Findings of the {MAGM}a{R} 2026 Shared Task",
    author = "Martin, Alexander  and
      Zhang, Dengjia  and
      Brogan, Joel  and
      Ferraro, Francis  and
      Gwinnup, Jeremy  and
      Kriz, Reno  and
      Long, Teng  and
      Murray, Kenton  and
      Yates, Andrew  and
      Xiang, Xiang",
    editor = "Murray, Kenton  and
      Kriz, Reno",
    booktitle = "Proceedings of the 2nd Workshop on Multimodal Augmented Generation via Multimodal Retrieval ({MAGM}a{R} 2026)",
    month = jul,
    year = "2026",
    address = "San Diego, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.magmar-main.16/",
    pages = "144--150",
    ISBN = "979-8-89176-425-5",
    abstract = "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 years 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."
}

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%0 Conference Proceedings
%T Findings of the MAGMaR 2026 Shared Task
%A Martin, Alexander
%A Zhang, Dengjia
%A Brogan, Joel
%A Ferraro, Francis
%A Gwinnup, Jeremy
%A Kriz, Reno
%A Long, Teng
%A Murray, Kenton
%A Yates, Andrew
%A Xiang, Xiang
%Y Murray, Kenton
%Y Kriz, Reno
%S Proceedings of the 2nd Workshop on Multimodal Augmented Generation via Multimodal Retrieval (MAGMaR 2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, USA
%@ 979-8-89176-425-5
%F martin-etal-2026-findings
%X 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 years 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.
%U https://aclanthology.org/2026.magmar-main.16/
%P 144-150

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Markdown (Informal)

[Findings of the MAGMaR 2026 Shared Task](https://aclanthology.org/2026.magmar-main.16/) (Martin et al., MAGMaR 2026)

Findings of the MAGMaR 2026 Shared Task (Martin et al., MAGMaR 2026)

ACL

Alexander Martin, Dengjia Zhang, Joel Brogan, Francis Ferraro, Jeremy Gwinnup, Reno Kriz, Teng Long, Kenton Murray, Andrew Yates, and Xiang Xiang. 2026. Findings of the MAGMaR 2026 Shared Task. In Proceedings of the 2nd Workshop on Multimodal Augmented Generation via Multimodal Retrieval (MAGMaR 2026), pages 144–150, San Diego, USA. Association for Computational Linguistics.