arXiv 2610.21459 · cs.CV · 2026-10-15
Can Visual Generation Expand What Unified Multimodal Models Know?
Wenkai Li, Wenyi Hong, Zhuoyi Yang, Jie Tang
Z.ai
In latest · #275 Added on 2026-10-22
One-line takeaway
A controlled probe shows unified multimodal models can transfer knowledge learned through image generation into text answers, though unevenly.
用受控实验检验统一多模态模型能否通过学画图获得新知识并用文字答出，发现存在迁移但不均衡。
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Topics & disciplines
More on Multimodal
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- VideoJev: System One Model for Video Understanding and Interaction ▲375
- S-Space: Exploring Spatial Workspace in Multimodal Language Models ▲270
- UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement ▲266
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.