1 citations · 2 across the 4 of their papers we have counts for
5 papers
AgentSM: Semantic Memory for Agentic Text-to-SQL
Asim Biswal, Chuan Lei, Xiao Qin +3
Recent advances in LLM-based Text-to-SQL have achieved remarkable gains on public benchmarks such as BIRD and Spider. Yet, these systems struggle to scale in realistic enterprise s…
SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL
Yue Gong, Chuan Lei, Xiao Qin +3
Text-to-SQL systems translate natural language (NL) questions into SQL queries, enabling non-technical users to interact with structured data. While large language models (LLMs) ha…
TailorSQL: An NL2SQL System Tailored to Your Query Workload
Kapil Vaidya, Jialin Ding, Sebastian Kosak +7
NL2SQL (natural language to SQL) translates natural language questions into SQL queries, thereby making structured data accessible to non-technical users, serving as the foundation…
ODIN: A NL2SQL Recommender to Handle Schema Ambiguity
Kapil Vaidya, Abishek Sankararaman, Jialin Ding +4
NL2SQL (natural language to SQL) systems translate natural language into SQL queries, allowing users with no technical background to interact with databases and create tools like r…
Banyan: A Scoped Dataflow Engine for Graph Query Service
Li Su, Xiaoming Qin, Zichao Zhang +6
Graph query services (GQS) are widely used today to interactively answer graph traversal queries on large-scale graph data. Existing graph query engines focus largely on optimizing…