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Xi Xiao

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#artificial intelligence Preprint Feb 2026

RL-VLA$^3$: A Flexible and Asynchronous Reinforcement Learning Framework for VLA Training

RL-VLA is the first fully asynchronous RL training framework tailored specifically for the system-level challenges of VLA training, and achieves throughput improvements of up to 85.2\% over synchronous baselines while maintaining identical sample efficiency, with scalability validated from 8 to 256 GPUs.

Haoran Sun, Yong-Jian Guo, Zhong Guan et al. · 7 citations
Jul 2026

On-Policy Distillation for LLM Safety: A Routing Approach to Template-Robust Realignment

This work proposes Routing-based On-Policy Distillation (ROPD), a novel realignment framework that models the divergence between aligned and compromised output probability distributions rather than fitting specific prompt templates, establishing a new standard for robust LLM realignment.

Yong-Jian Guo, Wanlun Ma, Lingyu Shen et al. · 0 citations

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