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#embedding condensation

1 related articles

Dispersion Loss: A Key Technique for Solving Embedding Condensation in Small Language Models

Jul 7, 2026·7 min

Dispersion Loss: A Key Technique for Solving Embedding Condensation in Small Language Models

Embedding condensation is a hidden bottleneck in small language model training. Dispersion Loss combats this by enforcing representation spread during training at zero inference cost.