semi-structured-knowledge-bases-d09e9135·1 events·first seen Aliases: semi-structured knowledge bases
GRASP is a three-stage retrieval framework for semi-structured knowledge bases (SKBs) that combines plan-based graph retrieval, plan-conditioned dense retrieval fusion, and a fine-tuned reranker. It targets applications like product search, academic search, and precision medicine over typed entity-relation graphs. Evaluated on the STaRK benchmarks, GRASP advances average Hit@1 from 62.0 to 73.9, representing a substantial improvement over prior hybrid retrieval systems. Ablation studies confirm the contribution of each component.