Author

Lin Qu

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#natural language process... Preprint Sep 2026

PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition

PCoMoE is presented, a path-compositional execution framework that shifts MoE inference from coarse-grained expert selection to fine-grained path composition and achieves up to a 1.31x end-to-end inference speedup while enhancing model accuracy by 10%.

Zi-Yan Gan, Fang-Xin Liu, Chenyang Guan et al. · 0 citations

Preprint Aug 2026

Rollplex: Cross-Phase GPU Spatial Sharing for Vision Language Model Post-Training

Rollplex is presented, a runtime that decomposes the reference and training phase and moves the prefix computation into the rollout decode window and achieves speedup over serial colocation and disaggregation under the same GPU budget, while preserving the synchronous RL update.

Han-Feng Lu, Tian-Yu Feng, Su-Yi Li et al. · 1 citation