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English(EN) Beyond Textual Chain-of-Thought: A Survey on Action-Grounded Reasoning in Autonomous Driving

自动驾驶AI模型未能将推理与行动对齐，新数据集揭示

作者 PulseAugur 编辑部 · [2 个来源] ·

两篇新的arXiv论文探讨了当前自动驾驶推理模型的局限性。第一篇论文调查了现有方法，将其分为基于语言、视觉空间、潜在动态和外化推理，并强调了真实世界基础和安全关键验证的必要性。第二篇论文介绍了KITScenes LongTail数据集，用于评估推理-行动一致性，结果显示模型在陈述推理的同时，往往无法执行相应的行动，尽管其推理本身更为准确。 AI

影响 强调了AI在自动驾驶等安全关键应用中推理能力的重大差距，表明当前模型的行动并未完全反映其陈述的推理。

排序理由 两篇在arXiv上发表的关于自动驾驶AI推理的学术论文。

在 arXiv cs.CL 阅读 →

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自动驾驶AI模型未能将推理与行动对齐，新数据集揭示

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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Zhengxu Tang, Xiaozhou Zhang, Guofeng Cui, Ziyu Gong, Zi Wang, Yunfei Shi, Ruifeng Deng, Chengzhi Qi, Ke Chen, Sachin Patil, Tianjun Xiao, Langechuan Liu, Pichao Wang ·

    超越文本链式思考：自动驾驶中基于动作的推理调研

    arXiv:2609.01659v1 Announce Type: cross Abstract: Chain-of-thought (CoT) reasoning powers generative models by eliciting intermediate steps before producing an answer. In autonomous driving, the answer is a continuous action. Thus its reasoning must share the same spatiotemporal …

  2. arXiv cs.CV TIER_1 English(EN) · Royden Wagner, Omer Sahin Tas, Jaime Villa, Felix Hauser, Yinzhe Shen, Marlon Steiner, Dominik Strutz, Carlos Fernandez, Quentin Delfosse, Christoph Weinhuber, Christian Kinzig, Guillermo S. Gutierrez-Cabello, Hendrik K\"onigshof, Fabian Immel, Richard S… ·

    推理模型在自动驾驶中尚不能遵循其推理：KITScenes LongTail 数据集

    arXiv:2603.23607v3 Announce Type: replace Abstract: Handling rare events is the central open challenge in autonomous driving. Reasoning models, which generate explicit chains of reasoning before acting, promise to generalize to such events. Here we show that these models frequent…

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