Agentic SPARQL: Evaluating SPARQL-MCP-powered Intelligent Agents on the Federated KGQA Benchmark
arXiv 2603.06582•d5fd761f9ca97dbbc8448557bed9da1e8b11daed3a21072a3d4d07aed056b739
Exploration-Space-TheoryHNSWLLM-agentsLLMs-for-data-collection','open-scientific-databases','rerankingMCPMatryoshka-Representation-LearningPAGProjection-Augmented-GraphQwen2SPARQLT-REXapproximate-nearest-neighborarxivdebiasingfederated-KGQAfederated-queryisotonic-layerknowledge-graphlocation-based-recommendationmultilingual-retrievalonline-insertionsrecommendation-systemssemantic-searchtransformertwo-tower
Paper metadata
- arXiv ID
- 2603.06582
- Version
- Not specified by this published record
- Category
- Computer Science — Information Retrieval (cs.IR)
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Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- d5fd761f9ca97dbbc8448557bed9da1e8b11daed3a21072a3d4d07aed056b739
- Enrichment time
- 2026-03-10T08:52:25Z
- AI-assisted enrichment
- Yes
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