Microsoft's Full-Bandwidth Transformer Boosts Inference With Latent Feedback
Microsoft's Full-bandwidth Transformer feeds top-layer hidden states back into subsequent decoding steps via gated linear units, and its 1B-parameter model reportedly matches baselines trained on 1.5x the data.
2026-08-14 ~ 2026-08-15 · 3 related posts
- Full-bandwidth Transformer Matches 1.5x Data at 1B Scale with <1% Overhead — ProfBuehlerMIT · 2026-08-14
- Microsoft Proposes Full-bandwidth Transformer for Enhanced Reasoning — MicrosoftResearch · 2026-08-14
- Paper proposes Full-bandwidth Transformer with latent feedback mechanism — burny_tech · 2026-08-15