# Multimodal Foundation Models: Research Digest

> Literature digest: Multimodal foundation models Multimodal foundation models (MFMs) are large-scale models trained on diverse data modalities—such as text, image, video, and…

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- **Updated:** 2026-06-23
- **Category:** scholar
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## Key data

- **Papers:** 10
- **Field:** multimodal foundation models
- **Updated:** 2026-06-23

# Literature digest: Multimodal foundation models

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## Sources

1. [Multimodal foundation models: From specialists to general-purpose assistants](https://www.emerald.com/ftcgv/article/16/1-2/1/1320821)
2. [Towards artificial general intelligence via a multimodal foundation model](https://www.nature.com/articles/s41467-022-30761-2)
3. [Hemm: Holistic evaluation of multimodal foundation models](https://proceedings.neurips.cc/paper_files/paper/2024/hash/4b6e5dae3acb4cfdfe5928a6eff174ee-Abstract-Datasets_and_Benchmarks_Track.html)
4. [Evolution and Prospects of Foundation Models: From Large Language Models to Large Multimodal Models.](https://www.sciopen.com/local/article_pdf/10.32604/cmc.2024.052618.pdf)
5. [A survey of resource-efficient llm and multimodal foundation models](https://arxiv.org/abs/2401.08092)
6. [Advances in multimodal adaptation and generalization: From traditional approaches to foundation models](https://ieeexplore.ieee.org/abstract/document/11342305/)
7. [Internvideo2: Scaling foundation models for multimodal video understanding](https://link.springer.com/chapter/10.1007/978-3-031-73013-9_23)
8. [Intern-s1: A scientific multimodal foundation model](https://arxiv.org/abs/2508.15763)

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