Academic Journal
SNAILS: Schema Naming Assessments for Improved LLM-Based SQL Inference
| Τίτλος: | SNAILS: Schema Naming Assessments for Improved LLM-Based SQL Inference |
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| Συγγραφείς: | Luoma, Kyle, Kumar, Arun |
| Πηγή: | Proceedings of the ACM on Management of Data - SIGMOD. 3(1):1-26 |
| Διαθεσιμότητα: | http://dl.acm.org/doi/10.1145/3709727 |
| Βάση Δεδομένων: | ACM Full-Text Collection |
| FullText | Text: Availability: 0 CustomLinks: – Url: http://dx.doi.org/10.1145/3709727? Name: EDS - ACM Full-Text Collection (ns324271) Category: fullText Text: View record at ACM Digital Library |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3709727 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 1 Titles: – TitleFull: SNAILS: Schema Naming Assessments for Improved LLM-Based SQL Inference Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Luoma, Kyle – PersonEntity: Name: NameFull: Kumar, Arun IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 11 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 28366573 – Type: issn-locals Value: edscma.journals Numbering: – Type: volume Value: 3 – Type: issue Value: 1 Titles: – TitleFull: Proceedings of the ACM on Management of Data - SIGMOD Type: main |
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