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Omni-Decision system enhances omni-modal QA with structured evidence states

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced Omni-Decision, a novel agent system designed to improve omni-modal question answering by managing evidence states. This system addresses the challenge of scattered evidence across various media types like videos, audio, and images, by maintaining a structured state for each query. This state tracks confirmed evidence, conflicts, dependencies, and information gaps, enabling more targeted evidence acquisition and repair. Omni-Decision demonstrates significant performance gains, achieving 45.6% accuracy on OmniGAIA and 58.3% on WorldSense, substantially outperforming existing baselines. AI

IMPACT This system could improve the accuracy and transparency of AI agents in complex, multi-modal question-answering tasks.

RANK_REASON The cluster contains a research paper detailing a new agent system for omni-modal QA.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Omni-Decision system enhances omni-modal QA with structured evidence states

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The cluster contains a research paper detailing a new agent system for omni-modal QA.
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COVERAGE [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: A Progressive Evidence-State Agent System for Omni-Modal QA

    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: A Progressive Evidence-State Agent System for Omni-Modal QA

    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…

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