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 等 10 人
Shanghai Jiao Tong University
在最新榜 #282 本站收录于 2026-10-22
一句话要点
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。
DLite is history-free speculative decoding that drafts locally from the target model's hidden states, suited to ever-growing agent contexts.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库
主题与学科
同主题：高效训练与推理
- The Teacher Is a Direction, Not a Destination: Extrapolating RL-Induced Representation Residuals in On-Policy Distillation ▲511
- Scaling Properties of Same-Family On-Policy Distillation ▲327
- Beyond Domain-Routed Supervision: Cross-Teacher Guarding for Multi-Teacher On-Policy Distillation ▲251
- On-Policy or Off-Policy Learning? A Systematic Study of Distillation Dynamics ▲205
- Beyond Teacher Assignment: Domain-Normalized Multi-Teacher On-Policy Distillation ▲181
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。