tracked author

Xin Liu

ByteDance systems author; Laminar coauthor, DAPO infrastructure author, and MegaScale-MoE ByteDance corresponding author. Crossref gives Laminar ORCID 0009-0000-8346-3323 and ByteDance Seattle affiliation. Personal homepage and X account were not confirmed because the name is common.

3 archived notes X: not-found

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归档 Jun 28, 2026

Laminar: A Scalable Asynchronous RL Post Training Framework

让完成轨迹独立进入 experience buffer，并以 CPU/RDMA relay 和同版本 repack 解除全局 batch / 权重同步 barrier。

待审阅 2510.12633-laminar-asynchronous-rl-post-training RL Infrastructure Rollout Optimization Distributed Training

归档 Jun 28, 2026

MegaScale MoE: Large Scale Communication Efficient Training of Mixture of Experts Models in Production

围绕 attention SP、FFN EP、communication overlap 和 compressed communication 重构生产 MoE 训练路径。

待审阅 2505.11432-megascale-moe-communication-efficient-training MoE Systems Distributed Training Training Memory

归档 Mar 03, 2026

DAPO: An Open Source LLM Reinforcement Learning System at Scale

用 Clip Higher、Dynamic Sampling、token level loss 与 overlong shaping 构成可复现 long CoT RL recipe。

待审阅 2503.14476-dapo-long-cot-rl-system RL Algorithm Reasoning RL RL Infrastructure