AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views
Griffith Big Data Lab
university
AI & ML interests
Multi-Agents, Reinforcement Learning, Foundation Models on Edge Device
Recent Activity
Scaling Text-to-SQL via LLM-efficient Schema Filtering with Functional Dependency Graph Rerankers
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griffith-bigdata/GRAST-SL-evaluation-set
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griffith-bigdata/GRAST-SL-training-set
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griffith-bigdata/GRAST-SQL-0.6B-BIRD-Reranker
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griffith-bigdata/GRAST-SQL-4B-BIRD-Reranker
Text Ranking • 4B • Updated • 11
AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views
Boosting Small Language Models for Text-to-SQL with Fine-Grained Execution Feedback and Cost-Efficient Rewards
Scaling Text-to-SQL via LLM-efficient Schema Filtering with Functional Dependency Graph Rerankers
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griffith-bigdata/GRAST-SL-evaluation-set
Viewer • Updated • 3.08k • 80 -
griffith-bigdata/GRAST-SL-training-set
Viewer • Updated • 43k • 234 -
griffith-bigdata/GRAST-SQL-0.6B-BIRD-Reranker
Text Ranking • 0.6B • Updated • 17 • 1 -
griffith-bigdata/GRAST-SQL-4B-BIRD-Reranker
Text Ranking • 4B • Updated • 11
RAQS-SQL : Resolving Ambiguities in Text-to-SQL Systems