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English(EN) Omni-Decision: A Progressive Evidence-State Agent System for Omni-Modal QA

Omni-Decision系统通过结构化证据状态增强全模态问答能力

研究人员推出了一种名为Omni-Decision的新型代理系统,旨在通过管理证据状态来改进全模态问答。该系统通过为每个查询维护一个结构化状态,解决了视频、音频和图像等各种媒体类型中证据分散的挑战。该状态跟踪已确认的证据、冲突、依赖关系和信息缺口,从而能够进行更有针对性的证据获取和修复。Omni-Decision在OmniGAIA上实现了45.6%的准确率,在WorldSense上实现了58.3%的准确率,显著优于现有基线,展示了显著的性能提升。 AI

影响 该系统有望提高AI代理在复杂、全模态问答任务中的准确性和透明度。

排序理由 该集群包含一篇详细介绍全模态问答新代理系统的研究论文。

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Omni-Decision系统通过结构化证据状态增强全模态问答能力

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该集群包含一篇详细介绍全模态问答新代理系统的研究论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Ming Ma, Yi Zhu, Yiran Zhong, Feida Zhu, Weigao Sun, Junhan Shi, Lingrui Mei, Tianming Yang, Steven Hoi ·

    Omni-Decision:面向全模态问答的渐进式证据状态代理系统

    arXiv:2607.11433v1 Announce Type: new Abstract: Omni-modal evidence-seeking QA requires agents to answer questions whose evidence is sparsely distributed across videos, audio, images, web pages, and computation results. Existing agentic multimodal systems often leave evidence in …

  2. arXiv cs.AI TIER_1 English(EN) · Steven Hoi ·

    Omni-Decision:一个用于全模态问答的渐进式证据状态代理系统

    Omni-modal evidence-seeking QA requires agents to answer questions whose evidence is sparsely distributed across videos, audio, images, web pages, and computation results. Existing agentic multimodal systems often leave evidence in scratchpads, tool trajectories, or free-form his…