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Limg\mathcal{L}_{\text{img}}

This entry links every published equation using this exact notation. Its meaning may change between equations.

Used in 1 equation

Ljoint(θ)=E(xtext, ximg, xaud)∼D[ Ltext(θ)+Limg(θ)+Laud(θ) ]\mathcal{L}_{\text{joint}}(\theta) = \mathbb{E}_{(x_{\text{text}},\, x_{\text{img}},\, x_{\text{aud}}) \sim \mathcal{D}}\Big[\, \mathcal{L}_{\text{text}}(\theta) + \mathcal{L}_{\text{img}}(\theta) + \mathcal{L}_{\text{aud}}(\theta) \,\Big]

Adapters, Native Pretraining, and Unified Tokens: The Main Multimodal Architectures, Compared · Equation 6

This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.

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