most citedSM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2026

STRATOS: Bridging the Symbolic-to-Numeric Gap in Spatio-Temporal Text-to-SQL for Meteorological Data

Yi Zhang, Farhad Nooralahzadeh, Jonathan Fürst +4

Copernicus, the European Union's Earth observation program, produces petabytes of Earth observation and climate data, offering immense potential for research, policy, and applicati…

cs.AI2024

Multi-Modal Data Exploration via Language Agents

Farhad Nooralahzadeh, Yi Zhang, Jonathan Furst +1

International enterprises, organizations, and hospitals collect large amounts of multi-modal data stored in databases, text documents, images, and videos. While there has been rece…

cs.DB2024★ 2 cited

SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark

Sithursan Sivasubramaniam, Cedric Osei-Akoto, Yi Zhang +2

Electronic health records (EHRs) are stored in various database systems with different database models on heterogeneous storage architectures, such as relational databases, documen…

cs.CL2024

StatBot.Swiss: Bilingual Open Data Exploration in Natural Language

Farhad Nooralahzadeh, Yi Zhang, Ellery Smith +4

The potential for improvements brought by Large Language Models (LLMs) in Text-to-SQL systems is mostly assessed on monolingual English datasets. However, LLMs' performance for oth…

cs.DB2024★ 1 cited

Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries

Jonathan Fürst, Catherine Kosten, Farhad Nooralahzadeh +2

Text-to-SQL systems (also known as NL-to-SQL systems) have become an increasingly popular solution for bridging the gap between user capabilities and SQL-based data access. These s…