tracked author

Xibin Wu

ByteDance researcher and recurring HybridFlow/Laminar author; OpenReview and GitHub connect him to OpenRLHF, verl, and ML systems work. No high-confidence personal X account was found.

2 archived notes X: not-found Homepage GitHub

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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 Jan 27, 2026

HybridFlow: A Flexible and Efficient RLHF Framework

用跨模型 single controller 与模型内 multi controller 统一编排 RLHF dataflow 和并行执行。

待审阅 2409.19256-hybridflow-rlhf-framework RL Infrastructure Distributed Training Rollout Optimization