Multi-Granular Demonstration Retrieval via Syntax-Derived Representations for Few-Shot NL2GQL
MGDR-SDR is proposed, a training-free approach that applies constituency parsing to derive three complementary representations of the utterance that drive a multi-granular retrieval procedure that aggregates evidence across dense and sparse channels, yielding broader and more precise demonstration coverage.