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
在最新榜 #275 本站收录于 2026-10-22
一句话要点
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。
A controlled probe shows unified multimodal models can transfer knowledge learned through image generation into text answers, though unevenly.
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主题与学科
同主题：多模态
- MJev-Spatial: System One Spatial Intelligence via Native Attention Matching ▲560
- LoopVL: Recurrent Visual Intelligence ▲417
- 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
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
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