How do clustering-aware transformers work?

They integrate clustering signals into attention mechanisms to improve representation structure.

Clustering-aware transformers incorporate unsupervised grouping signals into attention layers. Tokens are grouped dynamically, and attention is computed within clusters or across cluster summaries. This reduces computational complexity and improves semantic coherence. Methods like routing transformers or sinkhorn clustering are used to enforce structure in latent attention space.