Joint, decoupled, or agent: which multimodal alignment paradigm wins across datasets and budgets.
Read the original at arxiv.org→arXiv:2610.24108v1 Announce Type: new Abstract: Jointly pretrained multimodal encoders are a common way to combine modalities, while alternatives integrate their information during downstream training or inference....
Original headline: "Joint, Decoupled, or Agent: When Each Multimodal Alignment Paradigm Wins"
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- Oct 20, 04:00 UTC arXiv cs.AI lead source Joint, Decoupled, or Agent: When Each Multimodal Alignment Paradigm Wins