MasRouter: Learning to Route LLMs for Multi-Agent Systems
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Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, Yiyan Qi. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
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MasRouter addresses system-level routing and model selection, while AgentNet focuses on decentralized coordination and evolving agent topology.
“MasRouter (Yue et al., 2025) addresses system-level routing and model selection, while AgentNet (Yang et al., 2025b) focuses on decentralized coordination and evolving agent topology.”
From RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory (2025) · cites this paper as Yue et al., 2025
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- Authors
- Yue, Y., Zhang, G., Liu, B., Wan, G., Wang, K., Cheng, D., & Qi, Y.
- Affiliations
- Tongji University (CN)
- Venue
- Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Published
- 2025
- Pages
- 15549-15572
- ISSN
- 0736-587X (ISSN-L)
- OpenAlex
- W4412945204
- Cited by
- 14
- References
- 0
- Citations by year
- 2026: 12 · 2025: 2
- FWCI
- 13.35
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Proceedings of the conference - Association for Computational Linguistics. Meeting (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- large language models, multi-agent systems, routing, agent routing
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