English(EN) ActiveEvidence: Decision-Focused Evidence Graphs with Verifiable Acquisition Gaps

ActiveEvidence框架增强多模态代理决策能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了ActiveEvidence，一个用于多模态代理面向决策的主动证据获取的新框架。该系统利用反事实证据交互图（CEIG）来表示证据价值和交互，使代理能够确定获取视觉证据的最佳时间和方法。ActiveEvidence旨在通过仅评估可能改变决策的交互来最小化成本，从而在测试用例中实现显著的效率提升和高准确性。 AI

影响该框架可能导致在决策场景中更高效、更具成本效益的多模态AI代理。

排序理由该条目是一篇学术论文，详细介绍了新框架及其实验结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Miaobo Hu, Shuhao Hu, Xiaobo Guo, Xin Wang, Bokun Wang, Peng Zhang, Daren Zha, Jun Xiao · 2026-10-15 04:00

ActiveEvidence: 具有可验证获取差距的面向决策的证据图

arXiv:2610.20532v1 Announce Type: cross Abstract: A multimodal agent must decide whether visual evidence is worth acquiring, which candidate or resolution to query, and when further interaction can no longer change its decision. We study this problem under a strict free-metadata/…

本文如何被排名

报道来源 [1]

ActiveEvidence: 具有可验证获取差距的面向决策的证据图

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