MAC-SQL: Multi-Agent Collaborative Text-to-SQL
MAC-SQL's three-agent design hits 59.59% execution accuracy on BIRD, with the Refiner adding +4.63 points — a template for generating Beancount ledger queries.
#database
База данни
Системи за бази данни, генериране на SQL и управление на структурирани данни за финансов ИИ
DIN-SQL: GPT-4 jumps 67.4%→85.3% EX on Spider
DIN-SQL lifts GPT-4 from 67.4% to 85.3% Spider execution accuracy via schema-link and self-correct stages—same decomposition fits Beancount BQL.
BIRD: GPT-4 hits only 54.89% EX on real databases
On BIRD, GPT-4 reaches 54.89% execution accuracy with domain hints and 34.88% without—a 20-point gap any Beancount NL→BQL interface must close.