LIFT: New Architecture Feeds Latent States Back Into Transformers

A new paper introduces LIFT, an architecture that feeds the last layer's latent states back to the first layer at every step, bringing RNN-like recurrence to Transformers while preserving fully parallel pretraining, with doubled data efficiency.

2026-10-30 ~ 2026-10-30 · 2 related posts

• LIFT Paper: Transformers Feed Back a Latent State, Not Just One Token — megamor2 · 2026-10-30
• LIFT reintroduces recurrence into Transformers without losing parallel pretraining, halving data needs — megamor2 · 2026-10-30