Author

Si-Jie Wang

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#artificial intelligence Jun 2026

Accelerating Disaggregated RL for Visual Generative LLMs with Diffusion-Based Parallelism and Trainer-Assisted Generation

DigenRL is introduced, a disaggregated RL framework for diffusion-based generative LLMs that supports flexible resource allocation, accommodates heterogeneous GPUs, and facilitates efficient task scheduling and an elastic trainer-assisted generation approach to enable the trainer GPU resources to dynamically assist in...

Si-Jie Wang, Zhengyu Qing, Zhi-Qiang Tan et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Sep 2026

LeanGRPO: Eliminating Redundant Recomputation in Diffusion RL

LeanGRPO is presented by restructuring the data-parallel layout and introducing two recompute-free training schedules for trajectory-logprob diffusion RL, which achieves up to 1.83x end-to-end speedup while preserving the original optimization objective.

Si-Jie Wang, Zhi-Qiang Tan, Xin-Rui Yang et al. · 0 citations

Preprint Jul 2026

Bidirectional Resource Scheduling for Disaggregated and Asynchronous RL Post-Training

BiDiRL, a hybrid time-space multiplexing architecture for asynchronous, disaggregated RL designed to reduce resource idleness, is presented, including a hot-switch runtime that enables rapid switching between rollout and training resources with negligible overhead and a static, scheduling-aware planner based on time-pe...

Zhiqiang Tan, Maoxin Wang, Sijie Wang et al. · 1 citation