Papers with graph-supervised multi-agent routing

1 papers
AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering (2026.acl-long)

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Challenge: Existing approaches to agent routing emphasize cost efficiency while overlooking the fine-grained contextual and relational structure inherent in QA tasks.
Approach: They propose a framework that formulates multi-agent QA as a knowledge-graph-guided routing problem supervised by empirical performance signals.
Outcome: The proposed framework outperforms single-agent and ensemble baselines while generalizing across benchmarks and LLM backbones.

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