Speculative Self-Distillation Cuts Training Tokens by Up to 69%
A Stanford team's NeurIPS 2026 paper proposes Speculative Self-Distillation (SSD), which cuts training tokens by 38–69% while maintaining accuracy and reducing forgetting.
2026-11-13 ~ 2026-11-13 · 2 related posts
- Speculative Self-Distillation cuts training tokens 38–69% with no accuracy loss — Azaliamirh · 2026-11-13
- Speculative Self-Distillation Cuts Training Tokens 38–69% With Less Forgetting — heghbalz · 2026-11-13