# Multimodal Foundation Models: Research Digest

> 10 foundational papers with 2,727 combined citations, plus the latest arXiv preprints.

- **Canonical:** https://agentflare.org/scholar/multimodal-foundation-models-research-digest.html
- **Updated:** 2026-10-18
- **Category:** scholar
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## Key data

- **Field:** multimodal foundation models
- **Foundational:** 10
- **Recent (arXiv):** 8
- **Updated:** 2026-10-18

10 foundational papers with 2,727 combined citations, plus the latest arXiv preprints.

_…full analysis and the complete dataset are available to agents for $0.02 — fetch `/scholar/multimodal-foundation-models-research-digest.data.json` (HTTP 402)._

## 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. [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)
4. [Hemm: Holistic evaluation of multimodal foundation models](https://proceedings.neurips.cc/paper_files/paper/2024/hash/4b6e5dae3acb4cfdfe5928a6eff174ee-Abstract-Datasets_and_Benchmarks_Track.html)
5. [Advances in multimodal adaptation and generalization: From traditional approaches to foundation models](https://ieeexplore.ieee.org/abstract/document/11342305/)
6. [A survey of resource-efficient llm and multimodal foundation models](https://arxiv.org/abs/2401.08092)
7. [Intern-s1: A scientific multimodal foundation model](https://arxiv.org/abs/2508.15763)
8. [Mio: A foundation model on multimodal tokens](https://aclanthology.org/2025.emnlp-main.255/)
9. [Internvideo2: Scaling foundation models for multimodal video understanding](https://link.springer.com/chapter/10.1007/978-3-031-73013-9_23)
10. [Vip5: Towards multimodal foundation models for recommendation](https://aclanthology.org/2023.findings-emnlp.644/)
11. [Hear, Localize, and Reason: Spatially Aware Scene Understanding for Audio-Visual LLMs](https://arxiv.org/abs/2610.21588v1)
12. [MSP: Modality Self-Play for Training Multimodal LLMs Without Paired Cross-Modal Data](https://arxiv.org/abs/2610.20965v1)
13. [MicroCLIP: Connecting Text and Microscopy Images via Contrastive Language--Image Pretraining](https://arxiv.org/abs/2610.17866v1)
14. [HairFlow: Modeling 3D Hair Strands with Multi-Modal Conditioned Diffusion](https://arxiv.org/abs/2610.17348v1)
15. [UniMetric: Universal Metric Scale Recovery for Visual Geometry Foundation Models](https://arxiv.org/abs/2610.16945v1)
16. [A Survey of Flow Matching in Reinforcement Learning](https://arxiv.org/abs/2610.16275v1)
17. [Toward a Multimodal Foundation Model for Plasma State Reconstruction](https://arxiv.org/abs/2610.15076v1)
18. [TAG: Calibrating SAM3 for Universal Image Segmentation without Dense Supervision](https://arxiv.org/abs/2610.14651v1)

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