Joel Hudgens
Computer science
Hometown: Phoenix, Arizona, United States
Graduation date: Spring 2026
FURI | Spring 2026
Agentic Diagnostic Backtracking for NL2SQL on Federated Databases
Natural language to SQL (NL2SQL) is the process of translating English data requests into executable database queries. Modern LLMs handle single-database NL2SQL intuitively given sufficient schema context, but real-world systems often span multiple databases with differing architectures. This research addresses the problem of querying federated DBMS by proposing an agentic framework designed for multi-step code generation problems requiring iterative correction. The approach provides fine-grained stage control while maintaining a self-correcting feedback loop. Strong performance on this task would demonstrate a scalable path toward querying complex data systems and establish a generalizable approach for other multi-step generation problems.
Mentor: Jia Zou
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