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Yi-Chen Wei

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#artificial intelligence Preprint Nov 2026

FourSight: Stable FP4 RL Post-Training via Sequence Filtering and Sparse Channel Compensation

Reinforcement learning (RL) post-training increasingly targets low-bit deployment, with NVFP4 weight-and activation quantization (W4A4) becoming the state-of-the-practice format. However, integrating NVFP4 into RL degrades rollout quality and amplifies cross-engine training-inference mismatch (TIM), destabilizing train...

Yi-Chen Wei, Tian-Yuan Wu, Gu Gong et al. · 0 citations

W EAVE : Efficient Co-Scheduling for Disaggregated RL Post-Training

W EAVE is a cluster scheduling framework built on the insight that the structural idleness of one job can be effectively utilized by the active phase of another, and introduces the co-execution group abstraction, which partitions the cluster into isolated locality domains.

Tianyuan Wu, Lunxi Cao, Yi-Chen Wei et al. · 3 citations