AI Research
Generalized Multimodal Foundation Model
Breaking the constraints of predefined inputs for more versatile and adaptive multimodal reasoning.
Making prediction with multimodal data is widely used in diverse scenarios. Existing multimodal fusion models, once deployed, can only handle predefined modalities (e.g., vision, text and audio) and single tasks, making it difficult to quickly adapt to new downstream applications...
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ArXiv CS.LG
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2 min
ArXiv CS.LG
AI Analysis
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Generalized multimodal models represent a pivotal shift toward flexible systems capable of handling arbitrary input combinations without architectural retraining. This advancement moves us closer to universal AI agents that can seamlessly ingest and reason across any data stream in real-time.
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