Unverified50% confidenceFactExact time
Multimodal large language models (MLLMs) refer to large-scale models capable of simultaneously processing multiple modality inputs such as text, images, audio, and video and generating text output, with representative works including GPT-4o, Gemini, Qwen-VL, etc.
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10/12/2026
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UnverifiedMLLMs typically adopt a three-stage architecture of visual encoder + projection layer + large language model, where the projection layer is responsible for mapping visual features into the embedding space of the language model.78% similarUnverifiedMultimodal large language models (MLLMs) encode images as token sequences, with each image corresponding to an independent token sequence, and the <image N> marker in the prompt enables the model to align semantic instructions with a specific image token stream.73% similarUnverifiedvLLM is designed specifically for large language models and improves LLM throughput and GPU memory utilization through technologies such as PagedAttention.72% similarUnverified微调VLM能够复用大模型已有的视觉理解与语言生成能力，在相对有限的标注数据下实现对特定文献类型的适配71% similarVerifiedA VLM consists of three components: a visual encoder, a language model backbone, and a cross-modal alignment module.70% similar
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