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Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes research paper by Meta, 2026

Meta · Aug 6, 2026 · Multimodal and robotics · 2 citations · 63 upvotes

Read on arXiv

What it shows

Controlled experiments on when text, image understanding and image generation help or compete when trained together.

Summarised by hand from the abstract.

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Other multimodal and robotics papers

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Cosmos 3: Omnimodal World Models for Physical AIOne model that reads and generates text, images, video, audio and robot actions for physical AI.NVIDIA · Jun 202690
MolmoAct2: Action Reasoning Models for Real-world DeploymentA fully open robot action model, released with new datasets including 720 hours of two-arm teleoperation.Ai2 · May 202644
About this paper
Authors
Junlin Han, Shengbang Tong, David Fan and 4 more
arXiv
2608.05000 · PDF
Citations
2, 0 influential · Semantic Scholar
Upvotes
63 · Hugging Face
Lab
Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
New paperAdded to the listSep 24, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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