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About this paper
Xing Zhang, Yanwei Cui, Guanghui Wang, Wei Qiu, Ziyuan Li, Fangwei Han, Yajing Huang, Hengzhi Qiu and 2 more
Verified Multi-Agent Orchestration (VMAO) is a framework that improves multi-agent LLM systems for complex query resolution through an iterative Plan-Execute-Verify-Replan process. It achieved average completeness scores of 4.2 and source quality scores of 4.1 on market research queries, demonstrating improvements of 35% and 58% respectively over single-agent baselines by integrating orchestration-level verification and adaptive replanning.
Key insights
- Orchestration-level verification, which evaluates the collective results of multiple agents against the original complex query, is a crucial mechanism for driving adaptive refinement and enhancing the completeness and quality of multi-agent system outputs.
- A DAG-based query decomposition enables interpretable planning, dependency management, and parallel execution of sub-questions, contributing to efficiency and structured problem-solving in complex tasks.
- Adaptive replanning, dynamically triggered by verification outcomes, allows the system to iteratively refine its approach, gather more information, or retry tasks, proving particularly beneficial for open-ended and multi-dimensional queries.
Summary by alphaXiv.
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