Showing cs.CLShow all
3 papers · 1 filter
cs.CL2026
TreeGraft: Adaptive Multi-Drafter Grafting for Tree-Based Speculative Decoding
Jiaming Fan, Daming Cao, Canchen Huang +6
Speculative decoding accelerates large language model inference through a draft-then-verify paradigm. Building on this, tree-structured methods improve inference by organizing prop…
cs.CL2026
Flatter Tokens are More Valuable for Speculative Draft Model Training
Jiaming Fan, Daming Cao, Xiangzhong Luo +3
Speculative Decoding (SD) is a key technique for accelerating Large Language Model (LLM) inference, but it typically requires training a draft model on a large dataset. We approach…
cs.CL2025
Fast Large Language Model Collaborative Decoding via Speculation
Jiale Fu, Yuchu Jiang, Junkai Chen +3
Large Language Model (LLM) collaborative decoding techniques improve output quality by combining the outputs of multiple models at each generation step, but they incur high computa…