arXiv 2609.26333 · cs.LG · 2026-09-22
Disaggregated Quantization: Specializing LLM Prefill and Decode
Andrei Panferov, Maximilian Kleinegger, Sweta Priyadarshi, Tijmen Blankevoort, Dan Alistarh
IST Austria Distributed Algorithms and Systems Lab
在最新榜 #147 本站收录于 2026-10-21
一句话要点
分离式量化：为预填充和解码两个阶段分别定制计算格式与权重，兼顾速度和精度。
Disaggregated quantisation specialises formats and weights for prefill and decode separately to balance speed and accuracy.
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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。
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