新基准 CastWorld 评估具身时间序列预测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-14 05:00

研究人员推出了 CastWorld，一个旨在评估具身时间序列预测的新基准。该基准包含跨越八个领域的多样化数据集、一个支持自适应交互的包含 49 个工具的模块化框架，以及一个全面的评估框架。CastWorld 不仅评估预测准确性，还评估过程执行、行为可信度和资源效率，从而提供对预测代理性能更全面的视角。 AI

影响为评估人工智能代理在复杂预测任务中的能力提供了一个标准化框架。

排序理由该项目是一篇介绍人工智能代理新基准的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Bokai Pan, Ruijie Yang, Mingyue Cheng, Jiahao Wang, Xiaoyu Tao · 2026-11-14 05:00

CastWorld：超越预测准确性的上下文感知代理时间序列预测基准测试

arXiv:2611.15262v1 Announce Type: cross Abstract: Agentic time series forecasting extends conventional approaches beyond one-shot numerical prediction toward autonomous, context-aware interaction. However, existing benchmarks offer limited integrated support for diverse contextua…

本文如何被排名

报道来源 [1]

CastWorld：超越预测准确性的上下文感知代理时间序列预测基准测试

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