Author

Ningyi Xu

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#artificial intelligence Preprint Oct 2026

RollVerify: Bridging Efficiency and Accuracy in Long-Tail Rollout Reinforcement Learning

Reinforcement learning is crucial for improving large language models'reasoning and generalization. It relies on massive rollouts whose lengths become increasingly long-tailed as context windows grow. In on-policy training, these long-tail rollouts can result in GPU bubbles, reducing system utilization and limiting RL...

Yong-Qiang Yao, Jing-Ru Tan, Kai-Huan Liang et al. · 0 citations

Jun 2026

RhinoVLA Technical Report

RhinoVLA is proposed, a deployment-oriented VLA model co-designed with the Huixi R1 edge SoC that adopts a token-efficient Qwen3-VL backbone and a continuous Action Expert, reducing the VLM-side token and computation burden while preserving pretrained multimodal capability.

Chen Zhang, Chenyang Zhou, Guanglei Ding et al. · arXiv.org · 0 citations