Unverified50% confidenceFactExact time
Qwen's visual large model is primarily based on a language large model preceded by a Vision Encoder, while its model for processing speech is preceded by a Speech Encoder, with the vision and language models remaining relatively separate.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
Related Entities
Related Claims
UnverifiedIf the input is audio, the Vision Encoder can be replaced with a Speech Encoder to encode and align the data before passing it to the large language model.77% similarUnverifiedMultimodal large language models align visual encoders (such as CLIP and ViT) with language models through contrastive learning.73% similarUnverifiedQwen3.5-Omni采用原生多模态预训练方式，从数据构建阶段就将图像、音频、视频与文本混合编排，与早期'感知模块+语言模型'串联方案有本质区别71% similarVerifiedThe technical foundation of multimodal large models is the joint training of a visual encoder (such as ViT) and a language model, enabling the model to map visual information from pixel space into a semantic space shared with text70% similar
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