arXiv 2609.18703 · cs.DC · 2026-09-16
RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation
Xiaochen Ma, Zimo Meng, Junzhu Liang, Youhe Jiang, Yue Cheng, Hao Liang, Bohan Zeng, Dengchun Li 等 16 人
Peking University
在最新榜 #173 本站收录于 2026-10-21
一句话要点
RayOrch 是为基础模型数据准备设计的分布式数据流引擎，保留父子数据关系并高效批处理。
RayOrch is a distributed dataflow engine for foundation-model data prep that preserves lineage while batching efficiently.
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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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