Verify-Agent: Large Language Model Multi-Agent for Intelligent Verification

An AI agent is an intelligent framework that can perceive, plan and decompose, perform actions, and reflect. The multi-agent mode is a distributed computing mode that collaborates to complete different tasks in a group of AI intelligent agent environments. After discussion, inspection, reasoning, and evaluation, accurate conclusions are drawn. Multi AI intelligent agents play a crucial role in enhancing the performance of large models. Research and optimization of multi-agent architecture provide more perspectives and insights for system architecture design. In network planning, there are various application scenarios for reviewing planning template documents. This paper studies a multi-agent architecture based on open-source large language models, which is applied to planning document templates and data review to enhance the efficiency of processing and analyzing.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/iucc65928.2024.00072
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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Verify-Agent: Large Language Model Multi-Agent for Intelligent Verification

Xiaodong Wang, Shunshun Yin, Wilson Chu, Zhi Zhang et al.
Scientific Computing and Data Management
article

Verify-Agent: Large Language Model Multi-Agent for Intelligent Verification

Xiaodong Wang, Shunshun Yin, Wilson Chu, Zhi Zhang, Ling Lin, Lei Huang, Hongwu Li
article en

Abstract

An AI agent is an intelligent framework that can perceive, plan and decompose, perform actions, and reflect. The multi-agent mode is a distributed computing mode that collaborates to complete different tasks in a group of AI intelligent agent environments. After discussion, inspection, reasoning, and evaluation, accurate conclusions are drawn. Multi AI intelligent agents play a crucial role in enhancing the performance of large models. Research and optimization of multi-agent architecture provide more perspectives and insights for system architecture design. In network planning, there are various application scenarios for reviewing planning template documents. This paper studies a multi-agent architecture based on open-source large language models, which is applied to planning document templates and data review to enhance the efficiency of processing and analyzing.

Beijing University of Posts and Telecommunications (CN), China United Network Communications Group (China) (CN)
Openalex Percentile: Top 66%
Scientific Computing and Data Management
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