MAGMaR 2026 Shared Task Results: Advances in Multimodal Video Retrieval and Article Generation
The second MAGMaR shared task concluded with 2 teams submitting 17 video retrieval systems and 4 teams submitting 16 grounded generation systems, all surpassing the previous year's baseline. The task focused on multimodal augmented generation using retrieved videos, covering both retrieval accuracy and article generation quality. The results indicate measurable year-over-year progress in multimodal retrieval-augmented generation benchmarks.
The findings paper for the 2026 MAGMaR shared task, submitted to arXiv on June 10, 2026, reports outcomes from the second workshop on Multimodal Augmented Generation via Multimodal Retrieval. Participants could enter one or both of two subtasks: video retrieval and grounded article generation from retrieved videos. In the retrieval subtask, all 17 submitted systems from 2 teams exceeded the baseline established by the prior year's shared task winner, suggesting broad methodological improvement across participants. On the generation side, 4 teams submitted 16 systems, and notably every team had at least one system whose output was rated best by a human annotator, indicating competitive performance across the field. The paper serves as an overview of system submissions, evaluation methodology, and aggregate results, with associated resources made publicly available via a linked URL.
What's missing
The abstract does not detail the specific evaluation metrics used for either subtask, the size or composition of the test dataset, the criteria human annotators used to judge generation quality, or whether inter-annotator agreement was measured. The degree of improvement over the baseline for retrieval systems is not quantified.
What different sources said
- arXiv cs.CLCenter
Findings of the MAGMaR 2026 Shared Task
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