Separating representation from token reconstruction via a bipartite CrossBERT architecture restores scalable frozen text embeddings and enables high-masking complementary training.
Training compute-optimal transformer encoder models
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Separating Representation from Reconstruction Enables Scalable Text Encoders
Separating representation from token reconstruction via a bipartite CrossBERT architecture restores scalable frozen text embeddings and enables high-masking complementary training.