Temporal attribution is defined as a new lightweight provenance method using Temporal Interaction Networks to enable time-focused quantitative analysis of dataflows without tuple-level metadata.
Provsql: A general system for keeping track of the provenance and probability of data
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A selection technique based on separating instances and provenance outperforms baselines for choosing among 2-3 NL2SQL candidates on a BIRD-DEV subset without consistency scores.
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Toward Temporal Attribution Analytics in Dataflows
Temporal attribution is defined as a new lightweight provenance method using Temporal Interaction Networks to enable time-focused quantitative analysis of dataflows without tuple-level metadata.
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Data-aware candidate selection in NL2SQL translation via small separating instances
A selection technique based on separating instances and provenance outperforms baselines for choosing among 2-3 NL2SQL candidates on a BIRD-DEV subset without consistency scores.