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A lightweight orchestration layer makes exploration explicit and programmable while leaving the underlying base agent unchanged, and a key insight is that accumulated discovery history can act as a replay simulator over the realized search space.
PolyglotQL provides an extensible and modular architecture that aggregates, normalizes, and augments heterogeneous question–SPARQL pairs from established text-to-SPARQL datasets, highlighting the benefits of structured context in multilingual semantic parsing.
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