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Found 2 papers, 1 papers with code
Are Bigger Encoders Always Better in Vision Large Models?
Moreover, we analyzed the effects of LLM backbone parameter size and data quality on the pretraining outcomes.
A Survey of Multimodal Large Language Model from A Data-centric Perspective
Multimodal large language models (MLLMs) enhance the capabilities of standard large language models by integrating and processing data from multiple modalities, including text, vision, audio, video, and 3D environments.
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