03 Feature head、MTP 与并行块草稿¶
方向最密集的主线:从 Medusa / EAGLE feature heads 到 DFlash 并行块,再到 Domino、DSpark、PCTree 对候选内因果性与生产调度的修复。
20 篇核心论文
336 页核读
更新至 2026
读完这一类,应能回答¶
- parallel marginals 为什么不是一个合法的 joint proposal?
- 怎样用低成本 Markov / RNN / tree conditioning 修复 block 内依赖?
- proposal 质量、draft latency 与 verification capacity 应如何联合优化?
推荐阅读路线¶
- MEDUSA: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads — ICML 2024,2024。
- EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty — ICML 2024,2024。
- DFlash: Block Diffusion for Flash Speculative Decoding — ICML 2026,2026。
- Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding — arXiv preprint,2026。
- DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation — arXiv preprint,2026。
- From Chains to Trees: Parent-Conditioned Drafting for Semi-Autoregressive Speculative Decoding — arXiv preprint,2026。