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.
Authors
- Xiaodong Wang (ORCID: https://orcid.org/0000-0003-4278-0888)
- Shunshun Yin (ORCID: https://orcid.org/0009-0008-4638-1925)
- Wilson Chu
- Zhi Zhang (ORCID: https://orcid.org/0000-0001-7794-1763)
- Ling Lin (ORCID: https://orcid.org/0000-0002-4612-2420)
- Lei Huang (ORCID: https://orcid.org/0009-0001-5756-0215)
- Hongwu Li (ORCID: https://orcid.org/0009-0008-1180-5062)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- China United Network Communications Group (China) (CN)
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