AI RESEARCH
RouterKGQA: Specialized--General Model Routing for Constraint-Aware Knowledge Graph Question Answering
arXiv CS.CL
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ArXi:2603.20017v1 Announce Type: new Knowledge graph question answering (KGQA) is a promising approach for mitigating LLM hallucination by grounding reasoning in structured and verifiable knowledge graphs. Existing approaches fall into two paradigms: retrieval-based methods utilize small specialized models, which are efficient but often produce unreachable paths and miss implicit constraints, while agent-based methods utilize large general models, which achieve stronger structural grounding at substantially higher cost.