LIFT Enables Deep-to-Shallow Feedback in Transformers While Keeping Parallel Training

A new architecture called Latent Information Feedback Transformers (LIFT) enables deep layers to feed information back to shallow layers directly, bypassing the token-decoding bottleneck of standard LMs while keeping training fully parallel.

2026-10-01 ~ 2026-10-01 · 2 related posts

• LIFT: teacher-supervised deep-to-shallow feedback for parallel-trained Transformers — megamor2 · 2026-10-01
• LIFT: new architecture teaches Transformers deep-to-shallow feedback while keeping training parallel — megamor2 · 2026-10-01