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English(EN) ASSCG: Just-Right Gating over Chattering for Fast-Slow LLM Planning in Autonomous Driving

新的ASSCG系统优化了LLM在自动驾驶规划中的使用

研究人员开发了一个名为ASSCG的新系统,用于优化大型语言模型(LLM)在自动驾驶规划中的使用。ASSCG充当守门员,做出帧级决策来刷新、重用或抑制慢速LLM的指导,从而降低计算成本并提高效率。当应用于现有的快慢规划架构时,ASSCG在性能指标和推理延迟降低方面均表现出显著的改进。 AI

影响 优化了自动驾驶的LLM推理,可能降低成本并改善实时决策。

排序理由 该集群描述了一篇研究论文,详细介绍了一种优化LLM在自动驾驶中使用的א新方法。

在 arXiv cs.CV 阅读 →

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新的ASSCG系统优化了LLM在自动驾驶规划中的使用

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该集群描述了一篇研究论文,详细介绍了一种优化LLM在自动驾驶中使用的א新方法。
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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Sining Ang, Yuan Chen, Liu Haiyan, Xuanyao Mao, Jason Bao, Xuliang, Bingchuan Sun, Yan Wang ·

    ASSCG:自动驾驶中快慢 LLM 规划的恰到好处的门控以抑制抖动

    arXiv:2606.25509v1 Announce Type: cross Abstract: Large language models (LLMs) can improve autonomous driving planning but are costly to query online, and existing fast-slow planners often rely on hand-designed triggering rules that either over-call the slow system or call it at …

  2. arXiv cs.CV TIER_1 English(EN) · Yan Wang ·

    ASSCG:自动驾驶中快慢大语言模型规划的恰到好处的门控以避免抖动

    Large language models (LLMs) can improve autonomous driving planning but are costly to query online, and existing fast-slow planners often rely on hand-designed triggering rules that either over-call the slow system or call it at the wrong times. We formulate slow-system invocati…