Author

Zicong Hong

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Preprint Sep 2026

SteerQuant: Steering Quantization Error with Action-Guided Scaling in World-Action Models

World-action models (WAMs) jointly generate future world states and actions through iterative denoising, using shared weights to process heterogeneous semantic streams of video, proprioceptive, and action tokens. Quantization reduces inference cost, but comparable numerical errors in different streams can have markedly...

Yun-Han Wang, Hao-Dong Wang, Zhi-Ming Liu et al. · 0 citations

K AIROX : Adaptive GPU–CPU Hybrid LLM Inference via Online Neuron Balancing

K AIROX introduces a Live Pipeline designed to prefetch neurons by predicting next-layer activation patterns, a mechanism that dynamically redistributes neurons between the GPU and CPU based on activation patterns, and a Temporal Activation Momentum cache policy to prioritize neurons with sustained utility while minimi...

Yapeng Jiang, Minghao Gan, Zi-Cong Hong et al. · 0 citations

#robotics Preprint Jul 2026

RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy

Flow-matching Vision-Language-Action (VLA) policies have shown strong potential for robotic manipulation but often suffer from compounding errors caused by distribution shifts during deployment. While offline reinforcement learning (RL) provides a practical way to improve deployed policies using rollout data, existing...

Zhengyang Yan, Junhao Li, Fangqi Zhu et al. · 2 citations