Transformers exhibit inherent succinctness in their representations, enabling efficient processing of information. This research has been recognized as one of three outstanding papers for ICLR 2026.

Transformers utilize a query, key, and value (QKV) attention formulation that is crucial for AI tasks. The study investigates the individual contributions of these three projections and the effects of omitting any of them.