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Ditch slow, verbose chain-of-thought reasoning: PLUME's latent reasoning slashes inference time by 30x while boosting multimodal embedding performance.
Forget local geometry – this dynamic data selection method uses a sparse autoencoder to prioritize samples covering frequent feature factors, leading to 2x training acceleration.
