English(EN) Your Autoregressive Model Already Reveals the Causal Graph

TRACE框架使用自回归模型进行因果发现

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-03 04:00

研究人员开发了一个名为TRACE的新框架，该框架利用自回归模型来揭示序列数据中的因果关系。该方法重新利用现有的语言模型来进行因果发现，而无需额外的训练或重复采样。TRACE可以从离散事件的单个序列中识别因果图，使其适用于车辆诊断和患者轨迹等传统方法难以处理的领域。 AI

影响能够利用现有的语言模型从序列数据中进行因果发现，有望改进诊断和预测系统。

排序理由该集群包含一篇研究论文，详细介绍了使用自回归模型进行因果发现的新框架。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Hugo Math, Rainer Lienhart · 2026-06-03 04:00

你的自回归模型已揭示因果图

arXiv:2602.01135v3 Announce Type: replace Abstract: Autoregressive models trained via next-token prediction implicitly learn the conditional independence structure of their data-generating process. We exploit this observation to perform scalable causal discovery from a single obs…