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Deutsch(DE) REKI: Registering Knowledge in VLAs

新型REKI视觉语言动作模型实现优异的性能-规模平衡

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出REKI，一个拥有24亿参数的视觉语言动作模型（VLA），在性能和规模之间取得了优异的平衡。REKI仅使用公开数据进行训练，在LIBERO-Plus、RoboTwin Clean2Rand和RoboCasa365等基准测试中表现出竞争力，只有更大的模型才能超越它。该模型采用一种使用寄存器令牌的记忆机制来访问近期历史信息，从而提高了成功率并减少了机器人任务中的振荡。 AI

影响 该模型的效率设计和强劲性能有望加速机器人和具身AI领域的研究与开发。

排序理由 该集群描述了一篇关于新型视觉语言动作模型的新研究论文。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新型REKI视觉语言动作模型实现优异的性能-规模平衡

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Research
该集群描述了一篇关于新型视觉语言动作模型的新研究论文。
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2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release, paper, product
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High
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11 days old
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报道来源 [2]

  1. arXiv cs.LG TIER_1 Deutsch(DE) · Juliette Marrie, Paul Pacaud, Adrien Ramanana Rahary, Shizhe Chen, Moritz B\"ohle ·

    REKI: 在视觉语言模型中注册知识

    arXiv:2610.22178v1 Announce Type: cross Abstract: We introduce REKI, a 2.4B vision-language-action model (VLA) pretrained exclusively on public data that sets a new Pareto frontier between performance and model size: on LIBERO-Plus, RoboTwin Clean2Rand and RoboCasa365, it is outp…

  2. Hugging Face Daily Papers TIER_1 Deutsch(DE) ·

    REKI: 在视觉语言模型中注册知识

    We introduce REKI, a 2.4B vision-language-action model (VLA) pretrained exclusively on public data that sets a new Pareto frontier between performance and model size: on LIBERO-Plus, RoboTwin Clean2Rand and RoboCasa365, it is outperformed only by models about twice its size. REKI…

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