arXiv 2610.23787 · cs.CL · 2026-10-16
DLite: History-free Speculative Decoding for Agentic AI
Jiaming Xu, Hanzhen Wang, Tianlang Zhao, Jiewen Xiao, Chengze Yuan, Jiayi Pan, Yongkang Zhou, Jiancai Ye and 2 more
Shanghai Jiao Tong University
In latest · #282 Added on 2026-10-22
One-line takeaway
DLite is history-free speculative decoding that drafts locally from the target model's hidden states, suited to ever-growing agent contexts.
DLite 是不保留历史上下文的推测解码：直接复用目标模型隐藏状态做局部草稿，适合上下文不断增长的智能体任务。
Read on arXiv PDF Hugging Face discussion Code
Topics & disciplines
More on Efficient training & inference
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About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.